Setser Says China Auto Capacity of 55M Units Threatens Global Plants

The Next China Shock Is Here  | The Ezra Klein Show — The Ezra Klein Show

The Ezra Klein Show

Beijing's redirection of state bank credit from a collapsed property sector into advanced manufacturing has engineered structural overcapacity that unilateral tariffs cannot stop without coordinated allied trade blocs.

AI-assisted summary of The Next China Shock Is Here | The Ezra Klein Show — original source. Check the original for full context.

Source published:

Key ideas

  • China Shock 2.0 has shifted into advanced manufacturing, with China constructing approximately 55 million vehicles per year in auto capacity against a total global demand of 85 to 90 million units. (22:27)
  • Following China's property crash under the 'Three Red Lines' policy in 2021, Beijing rechanneled bank credit into manufacturing, driving net exports to account for 1.5 to 2 percentage points of China's 3 to 4 percent domestic growth. (13:07)
  • The second China shock exerts severe asymmetric pressure on Europe and Japan; German goods exports to China contracted by roughly one full percentage point of German GDP as Chinese auto imports halved and exports neared 10 million units. (15:19)
  • Chinese state-owned commercial banks conduct shadow foreign exchange intervention by purchasing foreign assets at an estimated pace of $50 billion monthly ($600 billion annually) to artificially suppress the yuan. (30:41)
  • A potential 'China Shock 3.0' threatens the foundation of U.S. services and technology platforms through low-cost, frontier open-source AI models backed by rapid, unconstrained domestic power buildouts. (56:40)

Detailed notes

## Background Published on YouTube by The Ezra Klein Show on August 21, 2026, this episode features Council on Foreign Relations senior fellow and former trade official Brad Setser. According to the page description, Setser warns that the world has entered the early stages of a destabilizing 'China Shock 2.0,' where China's rapid dominance in advanced manufacturing like electric vehicles, batteries, and artificial intelligence poses severe threats to global economies and domestic politics.

## TL;DR Ezra Klein and Brad Setser examine how China transitioned from the low-cost consumer export surge of 'China Shock 1.0' to an advanced manufacturing powerhouse driven by state-directed capital following its domestic real estate bust. Setser details how structural domestic imbalances—including low consumption, thin social safety nets, and vast industrial overcapacity—force Chinese firms to dump surplus production into international markets, heavily threatening European and Japanese automotive sectors. The discussion critically assesses the evolution of U.S. trade policy across the Trump and Biden administrations, arguing that unilateral, blanket tariffs failed to address fundamental imbalances while highlighting genuine Western supply chain vulnerabilities in critical minerals. Looking forward, Setser warns of an emerging 'China Shock 3.0' targeting software and artificial intelligence, urging democratic allies to convert traditional security pacts into coordinated economic blocs to safeguard technological autonomy.

## Atmosphere & style The conversation is cerebral, forensic, and deeply analytical, trading sensationalist geopolitical rhetoric for methodical balance-sheet economics and hard industrial data. Ezra Klein acts as an inquisitive, synthesist interlocutor, translating intricate trade mechanics and macroeconomic distortions into clear political stakes, while Setser offers calm, encyclopedic insight rooted in decades of high-level policy experience. The overarching mood carries a sober, mounting gravity as the discussion moves from past Western policy blind spots to the immense scale of structural overcapacity and the daunting geopolitical choices confronting advanced democracies.

## Bulletin - [22:27](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1347s) China Shock 2.0 has shifted into advanced manufacturing, with China constructing approximately 55 million vehicles per year in auto capacity against a total global demand of 85 to 90 million units. - [13:07](https://www.youtube.com/watch?v=2PffKnEEY-E&t=787s) Following China's property crash under the 'Three Red Lines' policy in 2021, Beijing rechanneled bank credit into manufacturing, driving net exports to account for 1.5 to 2 percentage points of China's 3 to 4 percent domestic growth. - [15:19](https://www.youtube.com/watch?v=2PffKnEEY-E&t=919s) The second China shock exerts severe asymmetric pressure on Europe and Japan; German goods exports to China contracted by roughly one full percentage point of German GDP as Chinese auto imports halved and exports neared 10 million units. - [30:41](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1841s) Chinese state-owned commercial banks conduct shadow foreign exchange intervention by purchasing foreign assets at an estimated pace of $50 billion monthly ($600 billion annually) to artificially suppress the yuan. - [56:40](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3400s) A potential 'China Shock 3.0' threatens the foundation of U.S. services and technology platforms through low-cost, frontier open-source AI models backed by rapid, unconstrained domestic power buildouts.

## Key takeaways - [01:33](https://www.youtube.com/watch?v=2PffKnEEY-E&t=93s) China Shock 1.0 decimated localized industrial centers across the American Midwest and South, contributing to persistent economic scarring, deaths of despair, and eventual political realignments. - [03:49](https://www.youtube.com/watch?v=2PffKnEEY-E&t=229s) The original Washington consensus that global trade integration would naturally liberalize China and shift Western workers to higher-value sectors failed to materialize. - [07:54](https://www.youtube.com/watch?v=2PffKnEEY-E&t=474s) China's economic model structurally represses domestic consumption through regressive taxation, a restrictive hukou household registration system, and a minimal social safety net. - [11:03](https://www.youtube.com/watch?v=2PffKnEEY-E&t=663s) Exceptionally high Chinese household savings exceeding 40 percent of GDP are pooled by state-owned commercial banks to subsidize strategic manufacturing champions. - [13:07](https://www.youtube.com/watch?v=2PffKnEEY-E&t=787s) Beijing offset the 2021 real estate collapse by channeling credit into advanced manufacturing exports, triggering China Shock 2.0. - [15:19](https://www.youtube.com/watch?v=2PffKnEEY-E&t=919s) Europe bears the brunt of China Shock 2.0 due to its reliance on automotive and industrial machinery exports, directly threatening the continent's engineering and R&D base. - [18:20](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1100s) China bypassed Western internal combustion engine dominance by aggressively subsidizing electric vehicles, batteries, and local supply chains. - [22:27](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1347s) Chinese automotive and battery manufacturing capacity now significantly outstrips global consumer absorption, forcing factory closures abroad. - [30:41](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1841s) Beijing executes shadow currency intervention through state-owned banks buying foreign assets to prevent the yuan from strengthening alongside trade surpluses. - [32:45](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1965s) Western trade debate has moved beyond procedural WTO compliance toward defensive industrial policy aimed at national security and supply chain autonomy. - [42:37](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2557s) Targeted 25 percent tariffs under Trump 1.0 were economically absorbable, whereas indiscriminate escalations up to 145 percent under Trump 2.0 exposed domestic fragilities. - [48:28](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2908s) China's ultimate geopolitical leverage resides in physical supply chains, notably rare earth permanent magnets, rather than the threatened dumping of U.S. Treasuries. - [49:43](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2983s) Tariffs and trade wars largely failed to shrink China's global trade surplus, merely rerouting final assembly through third-party countries like Vietnam and Mexico. - [52:44](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3164s) A failure to form a unified North American and European economic coalition has prevented democratic nations from creating resilient, shared supply chains. - [56:40](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3400s) China Shock 3.0 could challenge American software and AI dominance by producing highly capable open-source models supported by rapid energy buildouts. - [01:00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3600s) Brad Setser advocates forming bifurcated economic alliances among democracies for strategic sectors like batteries and critical minerals, while retaining benign trade in non-strategic goods.

## Detailed walkthrough ### [00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=0s) Introduction: From Cheap Goods to the Frontier of Advanced Manufacturing

Ezra Klein frames China’s surging dominance across advanced manufacturing as the single biggest economic story in the world today. While the first wave of Chinese trade focused on low-cost goods, this new wave cuts directly into high-tech sectors: electric vehicles, advanced batteries, solar panels, and software frontiers such as cutting-edge AI models. This shift directly threatens the core manufacturing pillars of advanced economies—especially in Europe—and is set to fundamentally reshape geopolitics.

Klein introduces Brad Setser, senior fellow at the Council on Foreign Relations and former senior trade official in both the Obama and Biden administrations. Widely regarded as one of the world's most astute observers of Chinese economic policy and international trade, Setser joins the show to explain how China reached this point and what the consequences will be.

[01:33](https://www.youtube.com/watch?v=2PffKnEEY-E&t=93s) Defining China Shock 1.0 and Its Local Fallout

Klein turns to the origins of this dynamic, asking Setser to define "China Shock 1.0." Setser traces it back to roughly 2002, following China’s accession to the World Trade Organization (WTO). The immediate effect was an enormous surge of Chinese exports in relatively low-end manufactured goods: furniture, household appliances, and apparel. At the time, Washington policymakers largely dismissed these sectors as legacy industries rather than "the industries of the future."

The academic literature later proved that this dismissal completely missed the localized nature of the damage. Millions of Americans—particularly across the Industrial Midwest and the South—relied on these exact factories. When a plant shuttered, the shock cascaded through the surrounding community: local real estate values tanked, diner owners lost customer bases, and entire municipal tax ecosystems collapsed into a generalized downturn. Later studies directly tied exposure to this import shock to rising "deaths of despair" and the tectonic political realignments that fueled the rise of Donald Trump. Klein and Setser agree that the United States never prepared a coherent policy response to cushion the blow or assist these communities in transition.

```mermaid flowchart TD accTitle: The Mechanics of China Shock 1.0 accDescr: Flowchart illustrating how WTO entry led to factory closures and political realignment in the US.

subgraph TradeShift["Global Trade Shock"] A["China enters WTO (2001-2002)"] --> B["Surge of low-end exports:<br/>furniture, appliances, clothing"] B --> C["US factories in Midwest & South<br/>undercut & shuttered"] end

subgraph LocalSpillover["Local Economic Contagion"] C --> D["Loss of direct factory payroll"] D --> E["Plummeting home values & property tax bases"] D --> F["Secondary business failures<br/>(diners, service providers)"] end

subgraph SociopoliticalImpact["Social & Political Fall-out"] E --> G["Long-term regional decline"] F --> G G --> H["Rising deaths of despair"] G --> I["Voter realignment & support for Trump"] end ```

[03:49](https://www.youtube.com/watch?v=2PffKnEEY-E&t=229s) The Flawed Consensus of the 2000s: "Taming the Dragon"

Klein asks Setser to reconstruct the dominant economic argument made at the turn of the millennium. Setser explains that the prevailing consensus rested on three core assumptions: 1. China's integration into global capitalism was seen as historically inevitable, and the WTO negotiated entry terms seemed to provide an adequate regulatory framework. 2. Trade theory posited that dynamic, flexible Western labor markets would smoothly reallocate workers from declining, import-competing sectors into high-wage exporting industries and the services sector. 3. Commercial interdependence was expected to act as a liberalizing force: commerce would "tame the dragon," moderating Beijing's foreign policy and nudging the domestic regime toward political and economic liberalization.

Alongside these strategic premises stood the consumer argument: if China was willing to subsidize cheap products for American consumers, it acted as a permanent gift that suppressed domestic inflation. Setser adds an essential asterisk to that narrative. While consumer manufactured items did become notably cheaper at retailers like Walmart and Target, China’s massive domestic investment and industrialization put fierce upward pressure on global commodity markets. The savings a family enjoyed on imported clothing and toys were frequently offset by soaring oil prices at the gas pump: "it cost you more to fill up your car to get to Target."

[06:53](https://www.youtube.com/watch?v=2PffKnEEY-E&t=413s) Where the Theory Broke Down

The consensus unravelled along two major fault lines. First, China never transformed into the open, voracious destination for American exports that Western negotiators had promised. In fact, starting around 2004—just two years after joining the WTO—China's imports as a share of its own gross domestic product began to decline.

Second, Beijing refused to converge with Western-style market capitalism. The reigning assumption had been that the state would "wither away," leading to the privatization of state-owned enterprises (SOEs) and the adoption of an American or European economic framework. Instead, China achieved unprecedented economic growth precisely by maintaining and refining a distinctly state-led, non-convergent economic system.

[07:54](https://www.youtube.com/watch?v=2PffKnEEY-E&t=474s) What Makes the Chinese Economic Model Distinct

Setser outlines the structural characteristics that make the Chinese economy unique, pointing out several factors that run counter to standard Western assumptions about a communist-led system:

- **A Thin Social Safety Net:** Despite its ideological roots, China has an exceptionally weak social safety net. It does not operate an Earned Income Tax Credit (EITC) or generous direct wage subsidies. - **Regressive Taxation:** Personal income tax collections account for roughly 1% of China’s GDP (compared to about 8% in the United States). The regime relies heavily on consumption taxes, which disproportionately burden lower-income workers. - **The Hukou System:** China does not maintain a unified national labor market. Under the internal household registration (*hukou*) system, citizens are legally tethered to their birthplace; migrating to urban industrial centers often means forfeiting basic social rights and civic benefits. - **A State-Controlled Banking System:** Rather than relying on a dominant Wall Street-style capital market, savings are channeled primarily through deposits in state-owned commercial banks. The government and the Party direct this domestic credit to strategic industrial priorities. - **Dominance of State-Owned Enterprises (SOEs):** The "commanding heights" of the economy are preserved for central state monopolies. Foreign firms looking to sell soybeans must negotiate with a state oilseeds monopoly rather than private processors; airplane sales must go through a unified consortium of the three state-run airlines; and telecommunications is controlled by three state operators whose executives are appointed directly by the Party. - **Provincial Subsidy Races:** When Beijing declares an industrial priority—such as developing a domestic semiconductor sector—provincial governments aggressively compete to sponsor national champions. Local officials provide ambitious entrepreneurs with massive subsidies, direct equity capital, free land, and state-backed bank credit, sparking ruthless internal competition among domestic firms.

[11:03](https://www.youtube.com/watch?v=2PffKnEEY-E&t=663s) High Savings, Minimal Welfare, and State-Directed Capital

Ezra Klein highlights a profound structural contrast between China’s economic development and that of the West: as China grew rich, remarkably little of its accumulated wealth flowed into a universal social safety net. In the United States, rising prosperity funded Medicare, Medicaid, Social Security, the earned income tax credit, and child tax credits. In China, however, the state intentionally limited spending on social transfers. Basic public retirement benefits for broad segments of the population remain trivial, amounting to merely tens of dollars a month, while public health insurance frequently demands heavy upfront out-of-pocket payments at hospitals. Compounding this, the legacy of the one-child policy and an intensely competitive marriage market have compelled young men and families to amass personal savings simply to afford marriage.

Brad Setser points out that these social realities produce an economy that saves a staggering proportion of its national income—consistently exceeding 40 percent of GDP. Because the Chinese state retains sweeping control over the financial system, state-run banks are perpetually flush with domestic capital. Instead of borrowing from abroad or redistributing cash to fuel household consumption, the government can self-finance unprecedented rates of capital investment. State direction and intense domestic competition operate hand in hand, channeling hundreds of billions of dollars directly into subsidized production, technological innovation, and targeted sectors Beijing aims to dominate.

* **National savings rate**: Consistently over 40% of GDP, providing a uniquely deep pool of state-controlled capital. * **Social safety net**: Basic universal pension payouts are just "tens of dollars a month," and health insurance still entails high out-of-pocket hurdles. * **Demographic pressure**: The one-child policy and marriage market dynamics created strong cultural and structural incentives for families and young men to maintain high precautionary savings.

---

[13:07](https://www.youtube.com/watch?v=2PffKnEEY-E&t=787s) The Pivot to China Shock 2.0: Property Bust and Export-Led Resurgence

Setser dates the emergence of "China Shock 2.0" to 2021, when Beijing cracked down on its overheated real estate sector. With empty apartment towers proliferating, Xi Jinping introduced the strict "Three Red Lines" financing rules to curb developer leverage. The policy succeeded all too well, sending the entire real estate market into a tailspin. To fill the massive economic void left by collapsing construction activity, Xi instructed the state banking apparatus to redirect credit aggressively toward high-end manufacturing. In particular, financing flooded into sectors where China still relied on imports, which Xi viewed as dangerous geopolitical vulnerabilities.

Rather than domestic consumers picking up the slack, China’s growth engine reverted to an aggressive reliance on net exports. With its domestic economy growing at around 3 to 4 percent, net exports alone contributed 1.5 to 2 percentage points of that growth. The resulting export surge expanded well beyond the consumer electronics of China Shock 1.0 into heavy machinery, electric vehicles, batteries, and tunnel boring machines. Crucially, as Chinese exports multiplied two- to three-fold faster than overall global trade, Chinese imports flatlined, creating an asymmetric trade dynamic where China sells massive volumes to the world while purchasing fewer foreign manufactured products in return.

```mermaid flowchart TD accTitle: Origin of China Shock 2.0 accDescr: Flowchart illustrating the chain reaction from the property crackdown to surging manufacturing exports.

subgraph Domestic["Domestic Policy Shift"] A["2021: 'Three Red Lines' Policy"] --> B["Real Estate Sector Tanks"] B --> C["Xi Directs State Banks to Manufacturing"] end

subgraph Targets["Targeted Expansion"] C --> D["Eradicate Import Vulnerabilities"] C --> E["Mass Credit to EVs, Batteries, Machinery"] end

subgraph Impact["Global Market Impact"] D --> F["Chinese Imports Stagnate"] E --> G["Exports Expand 2x–3x Faster than World Trade"] F & G --> H["China Shock 2.0: Massive Global Trade Surpluses"] end ```

---

[15:19](https://www.youtube.com/watch?v=2PffKnEEY-E&t=919s) The Asymmetry: Gutting Europe and Germany’s Manufacturing Core

Setser underscores that the geographic brunt of China Shock 2.0 is hitting Europe and Japan far harder than the United States. While the US share of global economic output has held steady over the past 40 years, China’s industrial rise has largely come at the direct expense of other G7 nations. Germany serves as the prime casualty. Unlike the US, which pivoted toward dominant global software and tech platforms, Germany preserved a traditional, manufacturing-heavy export model. In the aftermath of the 2008 global financial crisis, German exports of high-end sedans, luxury SUVs, Airbus A320s assembled in Hamburg, and advanced tunnel boring machines to China totaled nearly 3 percent of German GDP.

Today, that symbiotic relationship has unraveled. Chinese auto imports have plunged from around one million vehicles a year to under half a million, while Chinese auto exports exploded from under one million to nearly 10 million in just five years. Because Chinese EV manufacturers achieved rapid technological scale and cost competitiveness that European rivals could not match, German exports to China dropped by roughly a full percentage point of German GDP. What was once the primary engine of Germany's post-2008 economic strength has reversed into a structural vulnerability, creating severe headwinds across Europe’s industrial heartland.

* **Automotive reversal**: Chinese car imports fell from ~1,000,000 to under 500,000 annually, while car exports vaulted from under 1,000,000 to nearly 10,000,000 within five years. * **German trade impact**: German goods exports to China plummeted by roughly one percentage point of Germany's overall GDP. * **G7 divergence**: The United States retained a stable share of global output, whereas European manufacturing hubs bore the brunt of Chinese import substitution.

---

[18:20](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1100s) How China Reached the Frontier: Joint Ventures, Supply Chains, and EVs

Ezra Klein questions how China leaped from low-value goods—like apparel and cheap calculators—to the technological frontier in solar panels, batteries, and electric vehicles so quickly. Setser explains that China spent decades building the foundational mass required for this transition. In the automotive sector, Beijing historically protected its domestic market with a 25 percent tariff, compelling foreign giants like Volkswagen, General Motors, Ford, and Toyota to establish 50-50 joint ventures (JVs) with Chinese state-owned enterprises if they wanted to compete. To support domestic manufacturing, foreign parts suppliers also established plants across China, driving down costs and training a vast local supplier base long before Chinese automakers mastered EVs.

By the 2010s, Beijing recognized that incumbent joint-venture manufacturers had grown "fat and lazy," profiting comfortably off legacy gasoline cars while indigenous brands lagged behind. Viewing the transition to electric vehicles as a strategic opening to bypass foreign dominance in internal combustion engines, Beijing mobilized the entire state apparatus. Local governments and state banks provided cheap credit, subsidized homegrown battery champions, and built an all-encompassing component ecosystem. When Tesla entered Shanghai without a mandatory JV partner, it was required to meet stringent local supply-chain content thresholds—effectively polishing and supercharging the domestic supplier network that now powers China's own fiercely competitive EV champions.

[22:27](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1347s) The Anatomy of Chinese Overcapacity

Chinese electric vehicle dominance was not created overnight in a frictionless free market; it was engineered through a deliberate sequence of foreign tech absorption, domestic mandates, and massive industrial policy. Western auto parts suppliers originally migrated to China, where domestic firms absorbed know-how through copying, emulation, and supply chain proximity. Crucially, Beijing mandated that electric vehicle subsidies applied only if the battery was made in China by a Chinese company. This single rule catalyzed not only world-dominating battery giants like CATL, but created a launchpad for China's entire domestic EV sector to surge.

```mermaid flowchart TD accTitle: China EV Industrial Policy and Global Spillover accDescr: Diagram illustrating how domestic protection and state subsidies create global industrial displacement.

subgraph Phase1["1. Domestic Incubation"] A["Forced Tech Transfer & Emulation"] B["Local Battery & Content Mandates"] C["Local Government Subsidies & Factory Buildouts"] A --> D["Domestic Scale"] B --> D C --> D end

subgraph Phase2["2. Structural Overcapacity"] D --> E["55M Auto Production Capacity"] E --> F["Domestic Market Saturation"] end

subgraph Phase3["3. Global Spillover"] F --> G["Export Flood to Open Markets"] G --> H["Margin Compression & Factory Closures Abroad"] end ```

When critics argue that China's industrial "overcapacity" has reached crisis levels, Ezra Klein notes that the term can feel counterintuitive: why should producing more vehicles than domestic consumers can purchase be treated as a global emergency? Brad Setser defines overcapacity as occurring when a nation systematically builds out production in sectors where domestic demand cannot absorb the output, while global capacity already exceeds global demand.

Automotive manufacturing and battery production are the clearest examples of this dynamic: - **Global battery saturation:** China’s installed battery manufacturing capacity is already a multiple of total global demand, making it virtually impossible for new entrants in other countries to achieve viable market share. - **Auto plant utilization:** While assembly plants across Europe and the United States already operate well below capacity due to flat demand, China has accumulated the capacity to manufacture roughly 55 million passenger vehicles a year. - **Global market share comparison:** China's capacity of 55 million cars represents well over half to nearly two-thirds of total worldwide auto demand (roughly 85 to 90 million cars annually). - **The displacement mechanism:** Because global automotive demand is relatively fixed, China's aggressive addition of new capacity inevitably forces the closure of assembly plants elsewhere rather than simply satisfying new consumer appetite.

[25:12](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1512s) America’s Rise vs. China’s Export Model

Ezra Klein raises an obvious historical comparison: when the United States rose as a global industrial juggernaut in the late 19th and early 20th centuries, Detroit displaced established manufacturers abroad, yet that transformation is broadly remembered as a positive-sum, win-win engine of global modernization. Why, then, is China’s rise viewed through such an adversarial economic lens?

Brad Setser points to a fundamental structural divergence in how the two nations developed: - **The American continental model:** The rise of American manufacturing was driven by vast capital investments built to serve a rapidly expanding, consumption-heavy domestic internal market. The United States only became an overwhelming global net exporter for a brief window immediately following World War II, when foreign industrial competitors were flattened. - **The Chinese export-first model:** China's industrialization has been anchored in systemic trade surpluses and export orientation from the start. Its manufacturing output dwarfs its domestic consumer spending, turning its structural surpluses into persistent, destabilizing trade shocks for its trading partners.

[26:17](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1577s) "China Is Winning": The Perils of Cheap Goods and Monopolies

Klein poses the unapologetic free-market counterargument: what if China is simply winning fair and square? If Chinese companies produce superior electric cars at lower costs and manufacture inexpensive solar panels that accelerate the clean energy transition, Western complaints could be dismissed as sour grapes. From a pure consumer welfare perspective, buying from whoever produces highest quality at lowest price is classical economics at work.

Setser counters that this consumer-first lens ignores the severe structural scarring left on economies when bedrock industries are hollowed out. China’s existing excess capacity could supply the entire European automobile market—roughly 10 million cars a year—without building a single new factory. If Europe's automotive base evaporates, the displacement will mirror the first China Shock, but with even fewer alternative paths for displaced workers:

- **No reciprocal export destination:** Workers cannot rotate into alternative export-oriented manufacturing jobs because China's market remains heavily insulated against foreign manufactured imports. - **De-skilling into low-wage services:** Displaced manufacturing labor inevitably shifts into domestic service industries, which often offer lower wages, weaker labor protections, and less productivity growth. - **Loss of foundational R&D ecosystems:** In Germany and throughout Europe, automotive manufacturing is the premier anchor for advanced engineering, materials science, and commercial research and development. Eradicating auto manufacturing dismantles the broader regional innovation ecosystem. - **Geopolitical supply chain blackmail:** Total dependence on Chinese manufacturing creates vulnerabilities that Beijing has shown a willingness to weaponize. Setser points out that China commands near-monopolies over rare earth mining and permanent magnet fabrication; governments that dare to cross Beijing—such as Japan affirming support for Taiwan's security—routinely face backchannel export curbs.

Moreover, Setser dismisses the notion that China achieved this dominance through open-market laissez-faire competition. China built its EV ecosystem behind 25 percent import tariffs, aggressive local purchasing preferences, strict domestic battery mandates, and municipal governments that went so far as to build custom turnkey factories on behalf of favored domestic manufacturers.

[30:41](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1841s) The Return of Currency Manipulation

The conversation turns to foreign exchange policy, long a focal point of American trade anger that temporarily faded from headlines before re-emerging in an altered format. Setser explains that while politicians often use "currency manipulation" as a generic slur for any exchange rate they dislike, the practice has a strict, measurable economic definition: 1. **Structural undervaluation:** Running a current account surplus significantly larger than what the nation's underlying economic fundamentals and demographics would dictate. 2. **Direct, sustained state intervention:** Active central bank or state-directed purchases in foreign exchange markets to deliberately cap the value of the domestic currency.

Between 2003 and 2012, China met both criteria unambiguously, though the U.S. government avoided formally slapping Beijing with the official label for diplomatic reasons and because China spent the latter half of that window permitting gradual appreciation.

Today, state-sponsored currency management has returned in a shadow format. Rather than the People’s Bank of China visibly piling up foreign reserves, China’s state-owned commercial banks are actively intervening in currency markets: - **Intervention scale:** Chinese state banks have been purchasing foreign assets at an estimated pace of roughly $50 billion per month, translating to roughly $600 billion per year, effectively neutralizing upward market pressure on the yuan. - **Shift in political focus:** While Donald Trump shifted his trade rhetoric toward universal import tariffs rather than exchange rates, European policymakers are growing alarmed as a structurally undervalued yuan channels Chinese overcapacity straight into European markets.

[32:45](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1965s) Procedural Fairness vs. Existential Competition

Klein pushes deeper into the psychology of Western economic complaints. For decades, the dominant liberal critique relied on legalistic and procedural arguments: China was accused of cheating by flouting World Trade Organization rules, deploying prohibited state subsidies, or depressing its exchange rate. That worldview rested on the assumption that if trade were only made "fair" and compliant with international norms, Western industries would naturally hold their own.

Klein challenges whether that framing remains tenable. China is no longer merely finding clever loopholes in trade pacts; in sectors from batteries to commercial electric vehicles, its manufacturing apparatus, engineering scale, and vertical integration are simply superior. The central policy dilemma is shifting from whether China is "cheating" to how other major economies can survive the sheer scale of China's state-backed dominance when market principles alone cannot prevent total deindustrialization.

[33:48](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2028s) Moving Past Procedural Rules to National Security and Outcomes

Ezra Klein asks whether the core economic issue is truly an artificially cheap Chinese currency or if the fundamental challenge is national interest and weaponized interdependence. If countries like Germany, the United States, and broader Europe allow their industrial foundations to be wiped out, the question ceases to be an abstract theological debate over free trade and becomes a matter of maintaining a healthy domestic industrial ecosystem. Brad Setser agrees, noting that he increasingly leans toward prioritizing strategic capacity over adherence to outdated international legalities. In an era where the United States itself is no longer following baseline World Trade Organization (WTO) rules, legalistic complaints about procedural violations ring hollow.

The legacy multilateral rules are riddled with ambiguity. While governments are technically barred from granting subsidies aimed at import substitution, the boundaries blur when a country subsidizes an emerging sector that was previously entirely reliant on imports. Similarly, whether a state-guided fund funneling capital through private equity and venture vehicles into domestic chip manufacturing constitutes an illegal subsidy remains legally contested. Setser argues that in critical domains—especially military applications and critical inputs like rare earth elements—nations must care about outcomes rather than procedural fairness. Even if China complied strictly with every trade rule on paper, allowing 100 percent dependence on a single geopolitical rival for essential defense and industrial materials represents an intolerable security vulnerability, just as China itself has always prioritized strategic self-reliance over procedural norms.

```mermaid flowchart TD accTitle: Evolution of US Trade Policy Toward China accDescr: Diagram illustrating the shift from WTO procedural rules to national security outcomes across Trump 1.0, Biden, and Trump 2.0.

subgraph Shift["From Rules to Outcomes"] WTO["WTO Procedural Consensus<br/>(Rules & Litigation)"] --> Outcomes["Strategic Outcomes Focus<br/>(Supply Chains & Defense)"] end

subgraph Eras["Policy Approaches Across Administrations"] Trump1["Trump 1.0 (Lighthizer)"] -->|"25% Targeted Tariffs<br/>Unilateral Action"| Biden["Biden Administration"] Biden -->|"CHIPS & IRA Subsidies<br/>Tech Export Bans (Semiconductors)"| Trump2["Trump 2.0"] Trump2 -->|"Escalation to 145% Tariffs<br/>Unsustainable Economic Shock"| Retaliation["Chinese Counter-Retaliation<br/>(Rare Earth Export Restrictions)"] end ```

[36:18](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2178s) Trump 1.0: Robert Lighthizer and the Shift Away from WTO Consensus

Reflecting on Donald Trump’s first term in 2017 and 2018, Setser finds an odd temporal disconnect: the American political system seemed to awaken to the devastation of the first China shock five to ten years after it had already peaked. Despite the lagging timeline, Setser views the fundamental policy pivot as necessary. The conventional belief that WTO rules would constrain China’s state-capitalist model had proven false; instead, those rules constrained the United States while Beijing skillfully skirted the edges of regulatory loopholes.

Under United States Trade Representative Robert Lighthizer, the administration took the pivotal first step in moving Washington from a naive WTO consensus toward a doctrine framed by reciprocal interdependence, supply chain vulnerabilities, and economic statecraft. Lighthizer favored targeted, 25-percent tariffs that applied specifically to China rather than across the globe, focusing on sectors where trade pressure made strategic sense. However, the first term retained a stubborn unilateralism. Setser recounts an anecdote where French President Emmanuel Macron approached the White House to suggest negotiating jointly with China during the Phase One talks; Trump flatly rejected the coalition approach, insisting that because the United States absorbed the pain of the tariffs, all negotiated concessions had to flow exclusively to America.

- **WTO Constraints**: Multilateral trade rules had evolved from a tool intended to integrate China into a mechanism that primarily tied American hands while Chinese firms exploited rulebook ambiguities. - **Lighthizer's Strategy**: Trump's first-term trade representative instituted targeted 25 percent tariffs on Chinese goods, keeping levies at a level the broader US economy could digest without provoking systemic domestic turmoil. - **Unilateral Instincts**: Trump dismissed European overtures to construct a unified negotiating front, insisting on keeping Phase One trade benefits bilateral.

[39:09](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2349s) The Biden Doctrine: Chip Bans, Industrial Policy, and Lingering Vulnerabilities

When the Biden administration took office, it did not dismantle the Trump trade architecture; instead, it entrenched and expanded it into comprehensive industrial policy and technological containment. Klein notes that the Biden team kept the original tariffs, enacted punitive new duties on Chinese electric vehicles, established stringent "Buy American" provisions within the Inflation Reduction Act (IRA) to manufacture wind turbines and solar panels domestically, and imposed sweeping export restrictions on advanced semiconductors and AI-enabling chips.

Setser views Biden’s semiconductor blockade as strategically justified—stemming from an acute reliance on Taiwan and a determination to deny China the manufacturing capability for the world's most cutting-edge microchips—yet he stresses that Beijing unambiguously perceived the move as an act of direct hostility. In turn, it spurred China to redouble its drive to engineer American technology entirely out of its supply chains. However, Setser contends that Biden’s industrial strategy did not go far enough. While the IRA and the CHIPS and Science Act made ambitious investments in clean tech and domestic fabrication, critical supply chains remained severely exposed. Washington took inadequate action on active pharmaceutical ingredients (APIs)—where the United States remains nearly 100 percent dependent on China for essential generic drugs and chemical precursors—as well as rare earth refining and permanent magnets, where domestic producers simply cannot compete against Chinese scale on market price alone without aggressive government intervention.

[42:37](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2557s) Trump 2.0: Tariff Escalation to 145% and the Limits of Leverage

Contrasting the two Trump administrations, Setser explains why he preferred Lighthizer’s calibrated stewardship in the first term over Donald Trump’s second-term playbook. Lighthizer restricted threats to measures the domestic economy could physically absorb, holding duties at 25 percent and leaving untaxed goods in reserve as negotiating leverage. In Trump's second term, the White House operated under an aggressive premise that foreign trading partners would unilaterally lower barriers without retaliating.

When China refused to yield, viewing the tariffs as pure coercion, President Xi Jinping deployed plans prepared over four years of strategic positioning. A destructive tit-for-tat cycle ensued: US tariff hikes were met by Chinese counter-retaliation, culminating in punitive American tariffs leaping to an astronomical 145 percent across nearly all Chinese imports. Rather than granting Washington supreme leverage, the blanket embargo exposed severe domestic fragility. The US industrial and consumer base could not survive a total, immediate cutoff of Chinese goods. Combined with Chinese export curbs on rare earth inputs essential for American manufacturing, the administration was forced into a corner where it had to negotiate a rollback. As Setser highlights, the pain reached down into everyday commerce: by the summer of Trump's first year under triple-digit tariffs, domestic retailers faced absolute paralysis trying to source staple holiday inventory, such as artificial Christmas trees and ornaments, which are manufactured almost entirely in China.

[45:01](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2701s) The Flaws of Overbroad Tariffs and the Aluminum Blunder

The mechanics of aggressive, indiscriminate tariffs often produce severe domestic disruptions rather than strategic victories. When tariffs spike to extreme levels—such as 150 percent—importers face impossible choices. A clear example arose with artificial Christmas trees, which are typically imported during the summer to prepare inventories for winter retail sales. Confronted with the prospect of tripling retail prices without knowing whether American consumers would ever pay that markup, importers simply halted orders entirely. Similar disruptions spread through other industries where domestic firms suddenly had to pay exorbitant prices for critical components, rendering their own exports utterly uncompetitive. The strategy was "too broad, too high, too fast." In contrast, Robert Lighthizer largely understood the fundamental rule in Trump's first term: never escalate tariffs to a level you are unwilling to maintain, because backing down signals weakness and shows the other side that you are desperate for a face-saving exit.

```mermaid flowchart TD accTitle: Downstream Failure of Broad Tariffs accDescr: Diagram illustrating how high blanket tariffs cause economic disruption and diplomatic friction instead of strategic containment.

subgraph Tariffs["Aggressive Blanket Measures"] A["150% Tariffs Imposed"] B["No Partner Exemptions"] end

subgraph Impact["Domestic & Trade Disruptions"] C["Importers Halt Orders<br/>(e.g., Summer Christmas Trees)"] D["Industrial Energy Bottlenecks<br/>(Data Centers vs. Smelters)"] E["Allies Alienated<br/>(Canada & Brazil)"] end

subgraph Outcome["Strategic Failure"] F["Targeted Strategic Tariffs Collapse<br/>into Regressive 'Walmart Tariffs'"] end

A --> C A --> D B --> E C --> F D --> F E --> F ```

The second major flaw was targeting virtually everyone instead of focusing specifically on China. Blanket "Liberation Day" tariffs alienated international partners who were already worried about Chinese trade practices, eliminating any chance of constructing an international coalition. Furthermore, the selection of targets appeared economically irrational: - **Canadian primary aluminum:** Taxed at punishing rates despite being produced cleanly via Quebec hydropower and integrated into the U.S. defense industrial base since World War II (when Allied bombers relied on it). Because the domestic primary aluminum market cannot clear without Canadian supplies, U.S. prices spiked immediately. - **The electricity bottleneck:** Aluminum smelting is effectively "electricity distilled." High tariffs failed to spur new U.S. smelting capacity because the plants were directly competing for scarce electrical power against booming data center construction. - **Trade surplus friction:** The administration picked trade fights with nations like Brazil, where the United States already enjoyed a rare trade surplus. - **Carve-outs for elite tech:** While major tech players secured exemptions for microchips and electronics to shield data center buildouts, the heaviest effective duties fell on low-end household goods from Southeast Asia. Instead of a strategic industrial policy, it turned into an arbitrary "Walmart tariff."

[48:28](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2908s) Real Leverage Points: Treasury Debt vs. Critical Minerals

A persistent geopolitical myth holds that China’s ultimate economic weapon is the mass dumping of its vast holdings of U.S. Treasuries. In reality, the Treasury market is remarkably insulated from Chinese financial coercion. Although popular narratives suggest China is actively dumping U.S. government debt, Beijing has primarily shifted its holdings to third-party offshore custodians. More fundamentally, the Federal Reserve possesses an absolute countermeasure: it can always engage in quantitative easing (QE) and purchase Treasuries faster than China can sell them. This exact playbook succeeded during the 2008–2009 financial crisis—when the Fed stepped in to absorb Freddie Mac and Fannie Mae agency mortgage-backed securities as China divested—and again during the liquidity shock of 2020.

True Chinese leverage lies in physical supply chains rather than financial assets. If Beijing halts exports of rare earth permanent magnets required for precision weapon systems, electric motors, and defense electronics, the United States has no rapid fallback. Unless domestic stockpiles are already full, an embargo causes immediate, direct harm to military and industrial production, making physical resource dependency a far more potent threat than currency or bond sales.

[49:43](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2983s) Assessing the Trade Wars: Did the Tariffs Work?

Evaluating the trade wars against the stated goals of reducing trade imbalances, reviving domestic manufacturing, and checking Chinese mercantilism yields a blunt verdict: almost nothing worked. U.S. exports to China actually declined relative to overall U.S. GDP compared to pre-trade-war baselines. The core structural distortions of China’s economic model remain unchanged, and Beijing retains its agricultural leverage, regularly treating American farmers as hostages by threatening halts to soybean and beef purchases whenever tensions escalate.

| Metric / Objective | Pre-Trade War Status | Outcome Under Tariffs | |:--- |:--- |:--- | | **U.S. Trade Deficit** | Structurally high | Unchanged in aggregate; components still route through China | | **U.S. Exports to China** | Baseline commercial flows | Lower as a share of U.S. GDP; farm exports vulnerable | | **China's Global Export Footprint** | Large global manufacturing base | Ran massively larger global trade surpluses | | **Supply Chain Relocation** | Concentrated in mainland China | Final assembly moved to Vietnam/Mexico; parts still sourced from China | | **Diplomatic Alignment** | Frictions over WTO dispute systems | Key Western allies alienated by indiscriminate tariffs |

Instead of curbing China, the trade war coincided with China growing into an even larger global exporter with a more unbalanced, export-dependent economy. The primary structural shift was merely cosmetic: final assembly moved to third countries such as Vietnam, Taiwan, and Mexico, while the foundational sub-components and intermediate inputs are still manufactured in Chinese factories. Beyond collecting tariff revenue, the policy alienated allies and provoked legal challenges in domestic courts without rectifying the broader U.S. trade deficit.

[52:44](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3164s) The Missed Transatlantic Coalition

There is no inherent inevitability to China dominating high-end manufacturing, but countering that momentum requires building allied industrial scale rather than fighting trading partners. During the early days of the Biden administration, trade officials tried to repair ties with Europe and pivot toward a unified China strategy, attempting to bring European tariff levels up to match U.S. duties rather than lowering U.S. protections. At that time, European leaders resisted, stubbornly insisting on procedural adherence to World Trade Organization (WTO) dispute mechanisms and framing themselves as the principled guardians of the rules-based order.

That European resistance eventually softened as Chinese overcapacity threatened Europe's core domestic industries—particularly automotive manufacturing. However, Trump-era strategy missed this turning point. Driven by personal disdain for multilateral structures and an expressed belief that European leaders are weak figures whose hands are tied by the European Union, the administration treated Brussels with the same hostility as Beijing. By dismissing traditional alliances, the U.S. forfeited the chance to form a unified North Atlantic economic bloc. A combined North American and European market would possess the massive domestic demand required to sustain an independent electric vehicle sector, viable battery production, and a self-sufficient rare earth magnet supply chain entirely independent of China.

[55:53](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3353s) Confronting China’s Global EV Capacity and the Threat of China Shock 3.0

The conversation turns to how the United States and its partners should respond to Chinese industrial dominance. Brad Setser argues that democratic nations must coordinate their industrial policies and essentially "extend our security alliances into economic alliances." The West cannot afford to simply throw up its hands and accept a world where every electric vehicle is produced in China—an outcome Setser warns is entirely plausible. China already possesses enough spare manufacturing capacity to satisfy total global EV demand. While it currently supplies roughly 10 percent of Europe's auto market, that share could easily surge to 70 percent if left unchecked. If Western nations view that outcome as unacceptable, policymakers must actively work backward from that scenario to implement protective and competitive industrial strategies.

```mermaid flowchart TD accTitle: Evolution of the Three China Shocks accDescr: Diagram illustrating China Shock 1.0, 2.0, and 3.0 across different economic sectors.

subgraph Shocks["The Three China Shocks"] S1["China Shock 1.0<br/>Low- to Mid-End Manufacturing<br/>(Toys, Apparel, Electronics)"] S2["China Shock 2.0<br/>Advanced Green Tech<br/>(EVs, Batteries, Solar Panels)"] S3["China Shock 3.0<br/>Digital Frontier & Services<br/>(AI Models, Software, Compute)"] end

S1 --> S2 S2 --> S3 ```

Ezra Klein then raises the prospect of a looming "China Shock 3.0." If the first shock targeted low-to-mid-end manufacturing and the second is claiming advanced hardware like batteries and automobiles, the next frontier strikes directly at America’s core economic redoubt: high-end software, finance, and artificial intelligence. Klein points out that while the United States maintains a lead in AI frontier models, Chinese open-source models are remarkably competitive, significantly cheaper, and far less expensive to run. Furthermore, while the U.S. restricts cutting-edge chips, China can aggressively mobilize energy infrastructure without facing the local permitting battles and community protests that slow American data center construction.

Setser agrees that digital services and frontier AI could trigger a third shock wave. Historically, the United States maintained global platform dominance because Beijing walled off its domestic search and internet market for political control, preventing Chinese platforms like Baidu from succeeding globally and leaving the worldwide cloud, search, and software markets to American tech giants. That platform monopoly propelled U.S. equities to dizzying heights, making American equities account for roughly two-thirds of global stock market indices. However, Setser cautions that AI might not replicate the high-margin super-profits generated by Apple, Microsoft, or Alphabet. If AI becomes an intensely commoditized, low-margin global race—or if China captures major segments of the software and AI value chain—it could directly disrupt the most lucrative, profit-generating engine of the American economy.

- China currently supplies roughly 10% of the European automotive market, with the realistic capacity to reach 70%. - Chinese EV manufacturing capacity has expanded to the point where spare domestic capacity alone could meet total global EV demand. - U.S. equities represent nearly two-thirds of global stock market benchmark indices, heavily driven by big tech platform rents.

---

[01:00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3600s) The Chip War, Weaponized Interdependence, and Rival Economic Blocs

Klein and Setser dissect the core debate over trade strategy: is the goal to force China to import more Western goods and rebalance, or is it to decouple and break dependencies? Klein notes the conflicting approaches to semiconductor exports across administrations. While the Biden administration imposed strict export controls on advanced AI chips, Donald Trump proved somewhat more receptive to Nvidia CEO Jensen Huang’s pitch: keeping China hooked on Nvidia’s hardware creates a valuable reciprocal dependency, giving the U.S. leverage rather than pushing China to develop a fully autonomous chip ecosystem.

```mermaid flowchart LR accTitle: Strategic Frameworks for U.S.-China Economic Relations accDescr: Comparison of weaponized interdependence versus rival bloc decoupling.

subgraph Interdependence["Weaponized Interdependence"] A1["Mutual Choke Points"] <--> A2["Strategic Deterrence"] A2 --> A3["High-Stakes Coexistence"] end

subgraph Decoupling["Rival Economic Blocs"] B1["Western Ecosystem<br/>(U.S., EU & Allies)"] B2["Chinese Ecosystem<br/>(Belt and Road & Non-Aligned)"] B1 -.- B2 end ```

Setser expresses deep skepticism about relying on Chinese dependence. In his view, Beijing’s overarching, explicit goal remains unchanged regardless of short-term access: Xi Jinping intends to replicate the entire semiconductor stack internally, from advanced lithography and fabrication equipment to end-stage frontier chips. Once domestic capabilities mature, China will discard foreign suppliers entirely. Setser contrasts two overarching strategic frameworks for great-power coexistence: 1. **Weaponized Mutual Interdependence:** Employs military concepts of deterrence in the economic sphere. Both powers maintain offsetting, critical choke points—"you cannot supply chain restrict me because I can supply chain restrict you." The danger is that Xi Jinping’s stated aim is to make the rest of the world asymmetrically dependent on China, creating a shield that might deter the West from responding if China moves on Taiwan. 2. **Rival Economic Blocs:** A world where strategic sectors bifurcate entirely. The U.S., Europe, and their allies establish independent EV, battery, cathode chemistry, and critical mineral ecosystems, while China maintains its own supply chain, with non-aligned nations choosing between them.

Setser favors walling off critical high-tech and national security sectors while maintaining traditional commerce where risks are minimal. As he puts it, "We're not going to tell our farmers they can't sell to China. We're just not." The central policy challenge lies in deciding where to draw the boundary between benign trade and strategic vulnerability.

---

[01:03:46](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3826s) Macroeconomic Distortions and Book Recommendations

The discussion concludes with a focus on China's severe internal macroeconomic distortions. Setser points out that while China's export machine is booming, its domestic economy is mired in high youth unemployment, deflation, and property fallout. Domestic automotive demand in China has dropped by 20 percent, forcing state-backed automakers to dump excess capacity onto international markets. Setser characterizes China as the world's second-largest economy burdened by the world's largest internal distortions, driven by an unsustainable model of suppressed domestic consumption and hyper-investment in factory output.

At the same time, the United States faces its own structural imbalances. Washington is running fiscal deficits equal to roughly 6 percent of GDP to sustain domestic consumption while simultaneously attempting to borrow unprecedented sums to fund the private-sector buildout of AI and energy infrastructure. Both models face clear economic limits.

Closing the episode, Klein asks Setser for his standard three book recommendations: - ***The Party: The Secret World of China's Communist Rulers* by Richard McGregor:** Setser cites this foundational work by the longtime *Financial Times* Beijing bureau chief as the single book that best shaped his understanding of modern China. It demystifies how the Chinese Communist Party permeates society and business, illustrating party control with vivid scenes like the dedicated red telephone sitting on the desks of state-backed corporate CEOs to transmit party directives. - Setser begins introducing his second recommendation, noting that it is another older work examining economic history.

- Domestic vehicle purchases within China have fallen by approximately 20%, intensifying pressure on Chinese carmakers to export their surplus abroad. - The United States is borrowing roughly 6% of GDP at the federal level to fuel consumer demand alongside massive debt-financed private capital expenditures in AI.

[01:06:06](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3966s) Book Recommendations: Financial Vulnerabilities and Modern Trade Wars

Continuing his book recommendations, Brad Setser highlights *The Volatility Machine* by Michael Pettis. While Pettis is widely celebrated today for his work on the Chinese economy, Setser notes that this earlier, relatively slim volume is actually not about China at all, nor is it an easy read. Instead, it is an essential framework for analyzing financial vulnerabilities across the global economy and emerging markets. Setser considers it a modern classic, pointing out that its conceptual framework is remarkably prescient and relevant today—not merely for dissecting sovereign debt and emerging market distress, but also for evaluating the complex financial structures and debt mechanics currently being assembled to underwrite the global AI infrastructure buildout.

For his final recommendation, Setser selects *How to Win a Trade War* by economists Chad Bown and Soumaya Keynes, a book that he admits far exceeded his expectations. Setser stresses that regardless of where one falls on the spectrum of the trade debate, the book offers indispensable insight because it refuses to be a polemic. Rather than framing international commerce strictly around the traditional textbook language of mutual gains and comparative advantage, it serves as the definitive guide to a new era in which policymakers and market actors view global trade fundamentally through the lens of strategic vulnerabilities and economic security. With the recommendations complete, Ezra Klein thanks Setser for joining the program, and Setser closes by reflecting on what a pleasure it was to participate in the discussion.

- **Michael Pettis, *The Volatility Machine*:** A challenging, concise examination of systemic financial balance-sheet vulnerabilities in emerging markets, whose analytical framework Setser finds directly applicable to contemporary risks, including the financing mechanisms behind the frontier AI buildout. - **Chad Bown and Soumaya Keynes, *How to Win a Trade War*:** An even-handed, non-polemical breakdown of contemporary trade disputes, illuminating the modern shift from viewing trade purely as commercial opportunity to managing it as a domain of geopolitical and economic vulnerability.

## Notable quotes > [03:49](https://www.youtube.com/watch?v=2PffKnEEY-E&t=229s) it cost you more to fill up your car to get to Target. — Brad Setser

> [11:03](https://www.youtube.com/watch?v=2PffKnEEY-E&t=663s) tens of dollars a month — Brad Setser

> [13:07](https://www.youtube.com/watch?v=2PffKnEEY-E&t=787s) Three Red Lines

> [18:20](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1100s) fat and lazy — Brad Setser

> [45:01](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2701s) too broad, too high, too fast

> [55:53](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3353s) extend our security alliances into economic alliances — Brad Setser

> [01:00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3600s) We're not going to tell our farmers they can't sell to China. We're just not. — Brad Setser

## Mentioned Airbus, Alphabet, Apple, Baidu, Brad Setser, CATL, CHIPS and Science Act, Chad Bown, Council on Foreign Relations, Donald Trump, Earned Income Tax Credit (EITC), Emmanuel Macron, Ezra Klein, Fannie Mae, Federal Reserve, Ford, Freddie Mac, General Motors, How to Win a Trade War, Inflation Reduction Act (IRA), Jensen Huang, Joe Biden, Michael Pettis, Nvidia, People's Bank of China, Richard McGregor, Robert Lighthizer, Soumaya Keynes, Target, Tesla, The Party: The Secret World of China's Communist Rulers, The Volatility Machine, Toyota, Volkswagen, Walmart, World Trade Organization (WTO), Xi Jinping

## Video description Brad Setser follows Chinese trade closer than just about anyone else on earth, and he thinks we’re in the early days of a China Shock 2.0.

The first China Shock was when China came to dominate low-end manufacturing in the 2000s, filling American shelves with cheap clothes, toys and electronics, while devastating American factory towns. This new China Shock could be even more destabilizing. China now dominates advanced manufacturing: electric vehicles, batteries, solar panels. It’s outcompeting nearly all high-end manufacturing around the world, and other countries are just starting to feel the pain. And China isn’t slowing down. It’s moving into software, too. Its frontier A.I. models are neck and neck with American ones.

China’s success poses a serious threat to the economies and domestic politics of countries around the world. So what should those countries do about it?

Setser is a senior fellow at the Council on Foreign Relations.He served in top trade and economic roles in the Biden and Obama administrations. And he is widely cited across the field as one of the top analysts of China’s economy and trade practices.

0:00 Intro 1:33 China Shock 1.0 7:54 What makes the Chinese economy distinct 13:07 China Shock 2.0 18:20 How Chinese manufacturing advanced 26:17 Is China just winning? 30:41 Currency manipulation 35:27 National security supply chains 36:18 Trump 1.0 trade policy 39:09 Biden administration trade policy 42:37 Trump 2.0 tariffs 48:28 China’s leverage points 49:43 Did the trade wars work? 56:40 China Shock 3.0? 59:50 Interdependence or decoupling? 1:05:19 Book recommendations

Read the full transcript here: https://www.nytimes.com/2026/08/21/opinion/ezra-klein-podcast-brad-setser.html

Watch more on @EzraKleinShow

Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.

You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.html

[Source](https://www.youtube.com/watch?v=2PffKnEEY-E)

中文简报

Setser称中国5500万辆汽车产能威胁全球工厂 北京将国有银行信贷从崩盘的房地产行业转向先进制造业,造成了结构性产能过剩;若缺乏盟友协同组建贸易集团,单边关税将无法遏制这一局面。 Ezra Klein 与 Brad Setser 探讨了中国如何在国内房地产崩盘后,通过国家主导的资本运作,从以低成本消费品出口激增为特征的“中国冲击 1.0”转型为先进制造业强国。Setser 详细说明了包括消费低迷、社会保障网络薄弱以及巨大工业产能过剩在内的国内结构性失衡,如何迫使中国企业将过剩产能倾销至国际市场,从而严重威胁欧洲和日本的汽车行业。讨论深入评估了特朗普和拜登政府时期美国贸易政策的演变,指出全面的单边关税未能解决根本性的失衡问题,同时凸显了西方在关键矿产供应链上的切实脆弱性。展望未来,Setser 警告称针对软件和人工智能的新一轮“中国冲击 3.0”正在浮现,并敦促民主盟友将传统安全条约转化为协同运作的经济集团,以维护技术自主权。 “中国冲击 2.0”已转向先进制造业;在全球汽车总需求为 8500 万至 9000 万辆的背景下,中国的汽车年产能已建设至约 5500 万辆。 (22:27) 在 2021 年“三道红线”政策引发房地产崩盘后,北京将银行信贷重新引向制造业,推动净出口在中国 3% 至 4% 的国内增长中贡献了 1.5 至 2 个百分点。 (13:07) 第二轮中国冲击对欧洲和日本施加了严重的不对称压力;随着中国汽车进口量减半、出口量接近 1000 万辆,德国对华货物出口缩减了约占德国 GDP 一个百分点的规模。 (15:19) 中国国有商业银行通过购买外国资产进行影子外汇干预,估计速度达每月 500 亿美元(每年 6000 亿美元),以人为压低人民币汇率。 (30:41) 潜在的“中国冲击 3.0”正威胁着美国服务业与科技平台的根基,其依托于国内快速、无约束的电力建设所支持的低成本、前沿开源人工智能模型。 (56:40)

Reading summary

Former trade official Brad Setser argues that 'China Shock 2.0'—driven by Beijing channeling state credit away from real estate into advanced manufacturing—poses an existential structural challenge to Western industries that unilateral tariffs and World Trade Organization rules have failed to contain. Domestic Distortions and the Surge in Overcapacity (13:07) Setser contrasts the original 2002 trade shock in low-end manufacturing with China Shock 2.0, which he dates to Beijing's 2021 'Three Red Lines' real estate crackdown. To replace collapsing property sector activity, Chinese state banks aggressively redirected credit into advanced industries like electric vehicles, batteries, and machinery. Because China maintains a high national savings rate exceeding 40 percent of GDP alongside an intentionally limited social safety net, domestic consumer demand remained depressed. When domestic vehicle sales fell by 20 percent, state-backed manufacturers relied on foreign markets, allowing net exports to drive 1.5 to 2 percentage points of China's 3 to 4 percent overall economic growth. This capital reallocation generated severe global overcapacity. China built approximately 55 million units of annual passenger vehicle capacity against total global demand of roughly 85 to 90 million cars, while its battery manufacturing capacity expanded to multiples of worldwide demand. Because global automotive demand is relatively fixed, Setser emphasizes that Chinese factory output directly displaces existing assembly plants and manufacturing jobs abroad rather than satisfying new consumer needs. Asymmetric Fallout Across Europe's Industrial Core (15:19) Setser points out that Europe and Japan, rather than the United States, have absorbed the primary damage from China Shock 2.0. While the U.S. pivoted toward dominant software and tech platforms over the past four decades, Germany relied heavily on high-end manufacturing exports. Following the 2008 financial crisis, German exports to China—including luxury sedans and machinery—accounted for nearly 3 percent of German GDP. That dynamic unraveled as Chinese auto imports fell from roughly one million to under 500,000 annually, while its auto exports climbed from under one million to nearly 10 million in five years, erasing approximately one percentage point of German GDP. Countering free-market arguments that Western consumers simply benefit from cheaper clean technology, Setser warns that unchecked imports threaten bedrock European industries. With China possessing enough spare capacity to supply 70 percent of Europe's car market, the loss of automotive manufacturing would eliminate anchor R&D ecosystems, force skilled labor into lower-wage domestic services, and leave Western economies vulnerable to geopolitical coercion through Chinese supply chain chokepoints. Policy Pitfalls from Tariff Hikes to Supply Chains (49:43) Evaluating U.S. trade policy, Setser observes that multilateral trade rules failed to constrain Chinese state capitalism, instead restricting American responses. While Robert Lighthizer's targeted 25 percent tariffs in Trump's first term were calibrated for the domestic economy to absorb, subsequent second-term escalations to 145–150 percent blanket duties disrupted American commerce—such as halting retail inventory orders—and sparked domestic energy competition between data centers and aluminum smelters without curbing the aggregate trade deficit. Setser concludes that broad tariffs largely shifted final assembly cosmetically to intermediate nations like Mexico and Vietnam while leaving core component manufacturing in China. Furthermore, he dismisses the threat of China dumping U.S. Treasuries, noting the Federal Reserve can easily absorb debt sales via quantitative easing. Instead, he identifies physical supply chains—particularly China's dominant control over rare earth mining and permanent magnet fabrication—as Beijing's true strategic leverage against the U.S. industrial and defense base. Strategic Allied Blocs and China Shock 3.0 (55:53) Rather than relying on unilateral actions or hoping reciprocal commercial dependencies will deter conflict, Setser advocates for an allied economic bloc uniting North American and European markets. A unified transatlantic industrial policy would command the scale required to maintain independent supply chains for electric vehicles, advanced batteries, and refined critical minerals. He recommends walling off critical high-tech inputs while preserving routine commerce in low-risk sectors like agriculture. Ezra Klein and Setser caution that a looming 'China Shock 3.0' may soon reach digital services, compute, and artificial intelligence. While American tech platforms historically enjoyed high-margin global dominance, Chinese open-source AI models are proving competitive, cost-effective, and supported by rapid domestic energy infrastructure expansion. If AI becomes a low-margin, commoditized race or if China captures large segments of the software supply chain, it could directly threaten the platform profitability that sustains U.S. equity market valuations. Setser concludes that managing Chinese industrial dominance requires Western democracies to replace procedural trade adjudication with proactive economic security alliances, though successful coordination remains hindered by unilateral political instincts and deep domestic macroeconomic imbalances in both China and the West.

精炼阅读摘要

布拉德·塞瑟(Brad Setser)与埃兹拉·克莱恩(Ezra Klein)指出,伴随中国房地产调控与资本向高端制造业集中,“中国冲击2.0”正以惊人的产能规模席卷电动汽车和先进电池等高技术领域,对欧洲及德国的工业支柱构成实质挤压;西方已无法依赖传统的世贸组织程序性规则化解这一失衡,必须转向以经济安全与产业联盟为核心的战略应对。 产能过剩与冲击2.0的结构性根源 (13:07) 塞瑟分析认为,中国经济具有长期超过40% GDP的高国民储蓄率、相对薄弱的社会保障网络(基础公共养老金仅为每月数十美元且医疗自付比例高)以及以消费税为主的税制,导致国内家庭消费受到结构性抑制。2021年中国针对房地产业推行“三条红线”政策引发地产下行后,政府引导国有银行系统将巨额信贷从建筑业转向先进制造业,以消除对外国高科技进口的依赖。在内需增速放缓至3%至4%的背景下,净出口单独拉动了其中1.5至2个百分点的增长,形成了严重的单向出口依赖。 这种体制催生了庞大的结构性产能过剩。塞瑟指出,中国乘用车年产能已达约5500万辆,占全球8500万至9000万辆总需求的近三分之二,而中国国内汽车购买量近期却下滑了约20%;电池产能更是数倍于全球需求总量。此类主导地位并非源于自由市场演变,而是通过早期的25%关税壁垒、合资技术转让、强制本土电池认证以及地方政府补贴竞赛逐步建立,最终将过剩产能单向倾销至国际开放市场。 欧洲工业核心受创与全球置换危机 (15:19) 塞瑟强调,不同于集中在家电、服装等低端制造并重创美国铁锈地带的“中国冲击1.0”,“中国冲击2.0”的地缘冲击主要由欧洲和日本承受。以德国为例,2008年金融危机后,德国依赖对华出口高端轿车、空客A320及隧道掘进机,相关出口规模一度接近德国GDP的3%。然而在短短五年内,中国汽车年进口量从约100万辆腰斩至50万辆以下,汽车出口却从不到100万辆激增至近1000万辆,导致德国对华商品出口下滑了约占其GDP整整一个百分点的规模。 克莱恩提出,消费端享受低价优质商品本符合古典经济学利益,但塞瑟反驳称,这种供给冲击会对实体经济造成不可逆的去工业化创伤。由于全球汽车需求总量相对固定,中国仅闲置产能就能供应欧洲整个汽车市场(约1000万辆)。欧洲若失去汽车制造业支柱,被替代的产业工人无法顺畅转入其他高薪出口部门,只能流向低生产率、低薪酬的本土服务业,并将瓦解欧洲的工程研发与材料科学创新生态;此外,对关键矿产与永久磁铁的全面依赖,也使西方极易受到地缘政治断供的挟制。 全面关税的治理困境与战略杠杆评估 (45:01) 在评估应对手段时,塞瑟指出全面且急剧加征关税往往会反噬国内经济。在特朗普第二任期的极端关税博弈中,关税一度骤增至145%甚至150%,导致进口商因无法承受成本与市场不确定性而直接停运采购(例如夏季采购的人造圣诞树等日常消费品库存瘫痪);同时对加拿大清洁水电生产的原铝加税,不仅抬高了国内工业成本,也暴露出国内冶炼产能受限(与AI数据中心争夺紧缺电力)的短板。事实证明,普遍性关税未能扭转总体贸易赤字,对美出口更多只是将组装转道越南和墨西哥,基础核心零部件仍来自中国。 关于博弈筹码,塞瑟澄清了“中国抛售美债会摧毁美国金融”的流行假设。中国实质上更多是将美债转移至离岸第三方托管,且美联储完全有能力通过量化宽松以快于抛售的速度吸收国债。真正的非对称威胁在于实体产业链:若北京切断用于高精尖武器系统、电机和国防电子的稀土永磁体出口,由于西方缺乏短时间替代能力与充足储备,将直接导致军工和工业制造体系陷入瘫痪。 规则转向国家安全与冲击3.0前瞻 (55:53) 塞瑟与克莱恩一致认为,寄望世贸组织等传统多边规则来约束国家资本主义已不切实际,政策重心已不可逆地从程序公平转向产业安全与供应链控制。当前中国国有商业银行以每月约500亿美元(每年约6000亿美元)的速度购买外币资产,形成隐性汇率压制并强化出口竞争力。对此,塞瑟主张民主国家应将防务联盟拓展为经济联盟,通过整合北美与欧洲市场,形成足以支撑本土电动汽车、电池和关键矿产产业链的独立需求闭环。 克莱恩进一步警示了潜在的“中国冲击3.0”:这一阶段将直击美国最核心的利润壁垒——高端软件、云计算与人工智能。虽然美国目前在底层前沿模型上领先,但中国开源AI模型成本极低且性能优异,且中国在电力基础设施的扩建上具有显著的行政推进速度。塞瑟认同AI可能演变为低利润的全球商品化竞争,并提醒政策制定者应在必须筑墙的核心技术领域与低风险的普通贸易(如农业出口)之间划分明确界限。 对话总结表明,美中双方当前均深陷不可持续的宏观失衡模式:中国因压抑国内消费而依赖向全球输出过剩制造业产能,同时面临通缩与青年失业压力;美国则依赖约占GDP 6%的联邦赤字支撑消费,并依靠大规模债务融资推进AI基础设施建设。未来的核心未解难题在于,西方是否能在不激化国内通胀与供应链断裂的前提下,通过跨大西洋经济联盟建立起有效的产业防御壁垒,同时抵御在关键矿产与下一代数字技术领域的双重冲击。

Detailed notes — zh

## Background 该内容由播客《The Ezra Klein Show》于 2026 年 8 月 21 日发布在 YouTube 平台。节目围绕对外关系委员会(CFR)高级研究员、曾在奥巴马与拜登政府负责核心贸易与经济事务的布拉德·塞策(Brad Setser)展开深入对话。页面简介指出,全球正步入“中国冲击 2.0”的早期阶段,中国不再局限于昔日的低端制造业,而是牢牢主导了电动汽车、电池、光伏乃至前沿软件与人工智能等先进高科技产业,正深刻颠覆世界各国的经济格局与国内政治。 ## TL;DR 本期节目系统复盘了从“中国冲击 1.0”演变至“中国冲击 2.0”的底层驱动力与全球震荡。塞策深入剖析了中国独特的经济体制——高国民储蓄率与受控的金融体系在房地产硬着陆后,将天量信贷定向灌注至高精尖先进制造业,导致高端产能远超内需极限并引发外溢出口海啸,严重冲击了德国等传统制造强国的命脉。访谈进一步复盘了特朗普与拜登政府应对措施的得失,批评了极限关税战对盟友的误伤和对自身消费者的反噬,并指出中国在软件、算力基建领域已展现出“中国冲击 3.0”的苗头。最终,两人就战略脱钩、阵营化重构以及大国之间如何应对宏观经济深度失衡等议题展开了冷峻的现实主义推演。 ## Atmosphere & style 整期对谈洋溢着严密、清醒且带有强烈政策研讨色彩的深度智力激荡。克莱恩的追问直击核心矛盾,兼具宏观政治哲学与经济直觉;塞策则以其扎实的实务经验和详实经贸数据,从容解构了昔日自由贸易与全球化的乐观神话。交流过程中既充满对去工业化阵痛与地缘安全宿命的沉重反思,又穿插着对荒诞关税乱象的敏锐针砭,带给听众一种兼具宏大格局与现实紧迫感的冷峻听觉体验。 ## Bulletin - [13:07](https://www.youtube.com/watch?v=2PffKnEEY-E&t=787s) “中国冲击 2.0”与第一轮冲击截然不同,中国正牢固确立在先进制造(电动车、动力电池、光伏)乃至开源 AI 领域的全球主导地位,其庞大出口顺差主要由 2021 年房地产去杠杆后将海量信贷定向转入高端制造业所驱动。 - [22:27](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1347s) 在产能规模方面,中国已具备年产约 5500 万辆汽车的潜在制造能力(逼近全球总需求的三分之二),短短 5 年内汽车年出口量从不足 100 万辆跃升至 1000 万辆级别,动力电池产能更是全球当前需求量的数倍。 - [49:43](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2983s) 贸易战并未扭转宏观失衡:美国整体贸易逆差基本未变,所谓“产业链脱钩”大多仅是将最终组装环节转移至越南或墨西哥,核心高附加值零部件仍源自中国,中国全球贸易顺差反而创下历史新高。 - [48:28](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2908s) 在战略反制方面,中国抛售美债对美威胁有限(美联储量化宽松即可对冲),但中国对尖端武器与高精制造必需的高性能稀土永磁体及医药原料药(API)的绝对控制,构成了西方短期内无法替代的真正杀手锏。 ## Key takeaways - [01:33](https://www.youtube.com/watch?v=2PffKnEEY-E&t=93s) “中国冲击 1.0”的代价被严重低估:低端制造业流失对美国地方工业城镇造成了毁灭性的连环冲击,不仅引发失业与资产贬值,更导致“绝望之死”激增并重塑了美国政治版图。 - [03:49](https://www.youtube.com/watch?v=2PffKnEEY-E&t=229s) 西方对中国融入全球体系存在三大战略误判:误以为商业贸易会倒逼体制趋同、误判消费品降价即抑制通胀(忽略了大宗商品被推高),以及误判中国会成为巨大进口市场(实际上入世后进口占其 GDP 比重反降)。 - [11:03](https://www.youtube.com/watch?v=2PffKnEEY-E&t=663s) 中国畸高的储蓄率(超过 GDP 的 40%)与薄弱的社会兜底网相结合,使国有金融体系拥有无与伦比的能力将民间储蓄定向灌注到国家扶持的战略制造业部门。 - [13:07](https://www.youtube.com/watch?v=2PffKnEEY-E&t=787s) “中国冲击 2.0”的起点锚定在 2021 年房地产硬着陆:为防范系统性风险,去杠杆政策促使银行信贷全面转向先进制造业和进口替代领域,最终依靠净出口拉动整体经济增长。 - [16:30](https://www.youtube.com/watch?v=2PffKnEEY-E&t=990s) 德国成为“中国冲击 2.0”的最大受害者:其传统机械、客机及燃油车在华遭遇全面本土替代,且在电动化转型中滞后,对华出口萎缩了约相当于德国 GDP 1% 的规模。 - [18:20](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1100s) 中国电动车产业的登顶依托了精心设计的政策组合:早年依靠 25% 整车关税强制外资设立合资企业以沉淀本土供应链,随后将新能源列为国家战略,并以高本土化率要求引入特斯拉彻底激活供应链生态。 - [22:27](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1347s) 中国“产能过剩”的本质在于:在全球总需求已饱和的行业持续大幅加码投资,以年产 5500 万辆汽车的潜力将别国工厂挤出市场,这已超出自由市场中正常的优胜劣汰范畴。 - [26:17](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1577s) 单纯的消费主义低价视角忽视了深层战略代价:全盘接纳廉价中国制造不仅会摧毁本土高端工业与前沿研发根基,还会带来关键供应链被单向武器化的严重地缘风险。 - [30:41](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1841s) 汇率干预机制正在卷土重来:中国当前主要通过国有大型商业银行在外汇市场上每月买入约 500 亿美元外币(每年近 6000 亿美元)来压低本币汇率,而非直接动用央行资产负债表。 - [33:48](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2028s) 西方对华经贸思维已从“世贸规则合规”转向“国家安全与产业生态留存”的结果导向,在稀土等关乎国防安全的核心领域,西方无法接受对单一地缘对手的绝对依赖。 - [39:09](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2349s) 拜登政府虽然在先进制程芯片上采取了硬性出口管制,但美国在稀土磁铁、关键矿产以及抗生素等核心医药原料药(API)上的本土产业防线依然极度脆弱。 - [42:37](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2557s) 极限关税战面临自我反噬风险:当双边关税报复升级至 145% 时,包括圣诞树等基础日用品在内的进口彻底停摆,国内经济承压迫使美方不得不主动寻求降级谈判。 - [46:04](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2764s) 非针对性的全面关税在执行中变形:高科技巨头游说脱身让芯片等豁免,低端日用品承受重税沦为“沃尔玛关税”,同时加征加拿大清洁电解铝关税严重误伤基础工业并加剧本土电力争夺。 - [48:28](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2908s) 中国金融报复能力被夸大,实体供应链卡脖子才是关键:美联储量化宽松完全可吸收中国抛售的美债,但切断高性能稀土永磁体供应则能令美国高精装备陷入绝境。 - [49:43](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2983s) 贸易战整体成绩单乏善可陈:美国对华出口占 GDP 比重下降,对华农产品反制毫无招架之力,所谓的供应链转移仅是表面组装外迁,核心零部件仍由中国掌控。 - [52:44](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3164s) 欧美错失组建对华经贸同盟的历史契机:欧洲长期深陷对 WTO 程序的偏执,而特朗普对盟友体制的轻蔑与对威权强人的推崇,阻碍了构建能够脱离中国供应链的西方超级市场。 - [56:40](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3400s) “中国冲击 3.0”正在软件与 AI 领域酝酿:中国极具侵略性的低成本开源模型与高效的电力算力基建落地,正在迅速抹平技术差距并可能打掉美国科技巨头的超额暴利。 - [01:00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3600s) 美中科技经贸博弈走向分水岭:未来要么走向基于相互握有关键卡脖子环节的“相互依存威慑”,要么在半导体和新能源等战略核心部门彻底走向分立的双阵营生态。 - [01:03:46](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3826s) 中美两国均处于不可持续的宏观失衡中:中国面临国内消费不振、内需通缩与严重产能过剩,美国则依赖每年 6% 的财政赤字与大规模举债维持国内消费与算力基建运转。 ## Detailed walkthrough ### [00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=0s) 导言:重塑世界格局的“中国冲击 2.0” 当今全球经济中最宏大的叙事,莫过于中国在高端先进制造业领域接连建立起的统治地位。这种主导不仅体现在电动汽车、动力电池和光伏面板等物理实体产业,甚至延伸到了原本不属于传统制造范畴的软件领域,例如开源人工智能模型。在这些前沿阵地上,中国已经成为全球领跑者。这与所谓的“中国冲击 1.0”(China Shock 1.0)截然不同。在第一轮冲击中,中国出口的是虽然支撑了大量就业、但对发达经济体而言并不处于经济增长前沿的低附加值商品;而如今,中国正牢牢占据全球技术与创新的最前沿,这种竞争正在颠覆欧洲等传统制造业强国的经济支柱,进而深刻重塑全球地缘政治与国内政治版图。 为了剖析这一现象,埃兹拉·克莱恩(Ezra Klein)邀请了对外关系委员会(CFR)高级研究员布拉德·塞策(Brad Setser)。塞策曾在奥巴马和拜登政府中担任高级贸易与经济职务,被公认为全球跟踪研究中国贸易与宏观经济运作机制最深入的顶级专家之一。 --- ### [01:33](https://www.youtube.com/watch?v=2PffKnEEY-E&t=93s) 回望“中国冲击 1.0”:被低估的去工业化阵痛与小镇崩塌 塞策将“中国冲击 1.0”追溯至 2002 年前后,即中国加入世界贸易组织(WTO)之初。当时,中国对外出口出现爆发式增长,主要集中在家用电器、家具和服装等中低端制成品上。彼时美国学界与政策界的普遍心态是,这些并非代表未来的朝阳产业。然而,后续大量严谨的学术文献证实,即便不是未来的支柱,这些传统行业在美国中西部和南部依然维系着极其可观的劳动人口。当来自中国的廉价商品形成竞争海啸时,受到重创的并非平摊的全国总量,而是高度集中于某些特定城镇的局部劳动力市场。 当地工厂倒闭带来的连锁反应是系统性的:房地产价格应声下跌,依赖工人的周边服务业(如向工人供应午餐的餐馆)失去客源,整个社区迅速陷入普遍衰退。这种局部的毁灭性冲击在当时被严重低估,甚至政策层面根本没有准备应对方案。后来的多项研究进一步将这种暴露于中国进口冲击下的局部阵痛,与美国社会的一系列深刻裂痕直接挂钩——从非正常死亡(如自杀、药物滥用导致的“绝望之死”)的激增,到蓝领群体的政治再结盟,直至最终演化为唐纳德·特朗普(Donald Trump)的选票基本盘。 ```mermaid flowchart TD accTitle: China Shock 1.0 Local Impact accDescr: 展现中国冲击 1.0 对美国地方制造业社区造成的连环衰退机制 subgraph FactoryClosure["核心制造业受挫"] A["中国低端制成品涌入\n(服装/家电/家具)"] --> B["美国本土工厂倒闭\n(中西部及南部工业镇)"] end subgraph LocalSpillover["社区连锁衰退"] B --> C["工人大量失业\n失去经济支柱"] C --> D["地方房地产价格暴跌"] C --> E["周边配套与服务业萎缩\n(如餐饮、零售客源断绝)"] end subgraph SocioPolitical["深层社会与政治后果"] D & E --> F["局部长期陷入萧条\n缺乏政策兜底援助"] F --> G["'绝望之死'激增\n(药物滥用与自杀)"] F --> H["政治版图重组\n(为特朗普选民奠定土壤)"] end ``` --- ### [03:49](https://www.youtube.com/watch?v=2PffKnEEY-E&t=229s) 当年的主流共识与三大误判:自由贸易、物价幻觉与未曾到来的“趋同” 克莱恩指出,当时的主流思潮普遍认为中国制造为美国消费者带来了显而易见的实惠——沃尔玛和塔吉特(Target)里的衣服、玩具变得极其便宜,既然通胀受抑,为何要抗拒这种“馈赠”?塞策回顾道,当年政经学界的核心共识建立在三个乐观假定之上:第一,中国融入全球经济是不可避免的历史大势,入世谈判提供了合理的规则框架;第二,贸易从根本上有利于整体效率,美国拥有灵活的劳动力市场,失去制造业岗位的人可以自然流动至出口部门或高薪服务业;第三,地缘政治层面的期待是“商业贸易终将驯服恶龙”("commerce would tame the dragon"),经济融合会倒逼中国国内政治走向自由化,从而缓和其外部野心。 塞策针对“低价红利”提出了关键的修正视角。中国出口的大爆发确实降低了消费制成品的价格,但如果观察同一时期的总体通胀水平,变化其实并不明显。因为中国融入全球体系伴随着前所未有的巨额投资拉动,推高了全球大宗商品的需求与价格,特别是原油价格在这一阶段经历了一轮暴涨。换言之,"你开车去塔吉特商场所耗费的油钱变贵了,只是到了商场后货架上的东西变便宜了"。更核心的战略误判在于: - **市场开放的预期落空**:人们原本预期中国会成为美国巨大的出口市场,但事实是中国在入世后并未真正全面对美开放;甚至从 2004 年起,即入世仅仅两年后,中国进口占其自身 GDP 的比重就已开始走低。 - **体制趋同的幻想破灭**:西方普遍预判中国在经济发展中不得不向欧美模式“趋同”——即国家逐步从经济中退出,国有企业逐步私有化,在 20 年后变得像欧美一样运作。这一根本性假设最终被彻底推翻。 --- ### [07:54](https://www.youtube.com/watch?v=2PffKnEEY-E&t=474s) 独特的中国经济体制:薄弱的社保、户籍制度与受控的“经济制高点” 在探讨中国经济究竟在哪些方面“与众不同”时,塞策指出,现实与外界对传统共产主义体制的设想存在巨大反差: - **极薄弱的社会保障与逆向调节税制**:中国缺乏强有力的社会兜底网,个人所得税收入仅占中国 GDP 的约 1%(而在美国高达约 8%)。由于个税征收有限,政府无法支撑大规模的低收入补贴转移支付(类似美国的所得税抵免政策 EITC)。相反,税收体系高度依赖消费环节的间接税,对低收入劳动者而言具有明显的累退性质。 - **分割的全国劳动力市场(户籍制度)**:劳动者在出生地之外打工属于流动人口,一旦离开家乡往往必须放弃相应的公共服务与社保权益,导致劳动力无法像成熟市场经济那样自由均质地流动。 - **高度受控的国家金融动脉**:中国金融体系由国有银行绝对主导,居民储蓄主要以存款形式停留在国有银行体系,而非像华尔街主导的市场化直接融资。这使得国家和地方政府能够通过信贷杠杆,直接将资金灌注进符合国家意志的战略产业。 - **国企牢牢把控“经济制高点”**:涉及命脉的关键部门均由中央直接管理的国企把持。这导致外企很难真正打入中国市场:出售大豆面对的是国家统购统销的粮油巨头,出售民航客机面对的是统一协调的三大国有航空公司,出售电信设备面对的则是高管由组织部门任命、战略听从统一部署的三大国有电信巨头。 - **自上而下的政策号召与地方政绩竞赛**:一旦中央明确政策风向(例如大力扶持半导体产业),野心勃勃的各省市地方政府便会蜂拥而上,争相打造本地的“国家队冠军”。地方官员会为看好的企业提供土地补贴、注入政府引导股权、强力协调银行贷款,从而在短时间内催生出一大批受国家资本全面庇护的企业并投入激烈的产能竞赛。 ### [11:03](https://www.youtube.com/watch?v=2PffKnEEY-E&t=663s) 中国独特的经济结构:高储蓄率与受限的社会保障网 中国经济展现出一种罕见的双重特质:它既高度由国家统筹引导,内部又充斥着极其激烈的市场竞争。在谈及中国经济为何与众不同时,一个不可忽视的现实是:尽管中国变得越来越富裕,但其财富并未像西方国家那样大规模流向全民医疗或完善的养老保障体系。回看美国富裕起来的过程,相伴而生的是庞大的社会保障网络——社会安全保险(Social Security)、联邦医疗保险(Medicare)、医疗补助(Medicaid)、低收入家庭福利以及低收入在职家庭税收抵免(EITC)和儿童税收抵免。相比之下,中国在财富分配上并未将大头投入福利领域,加之国家对金融体系拥有绝对的控制力,使得巨额资金得以源源不断地定向注入制造业补贴、技术创新以及国家渴望主导的新兴产业之中。 普通民众的生活现实反衬了这一宏观分配格局。在农村或非正规就业部门,底层民众所能领取的最低基础养老金极其微薄,折算下来每月往往仅有几十美元,完全是杯水车薪。医疗保障体系同样难以让老百姓免除后顾之忧,许多人走进医院时根本无法确定费用能否全额报销,往往还需要提前垫付大笔预付金。不仅如此,过去的独生子女政策导致了严重失衡的性别比,极具竞争压力的婚恋市场迫使年轻男性及其家庭拼命储蓄以达到购房娶妻的门槛。这诸多结构性因素叠加,造就了一个国民储蓄占 GDP 超过 40% 的庞大“蓄水池”。由于民间自发储蓄率畸高,国有银行与金融系统弹药充足,中国得以完全凭借国内高储蓄来支撑其他任何国家都难以企及的庞大投资规模。 - 中国国民总储蓄率超过 GDP 的 40%,在全球主要经济体中处于断层领先地位。 - 基础养老金与医疗保障的有限覆盖,迫使家庭维持高额预防性储蓄。 - 雄厚的储蓄资金沉淀在国有金融系统内,使国家具备无与伦比的定点产业投资动员能力。 --- ### [13:07](https://www.youtube.com/watch?v=2PffKnEEY-E&t=787s) 中国冲击 2.0 降临:从地产塌陷到工业出口大爆发 所谓“中国冲击 1.0”(China Shock 1.0)时期,外界普遍曾有一种预期,认为随着经济体量增长,中国的模式会逐渐向消费驱动型转型,但事实并非如此。“中国冲击 2.0”的真正起点,可以清晰地锚定在 2021 年中国房地产市场的硬着陆。早在 2020 年新冠疫情期间,高层便对房地产业野蛮生长堆积的烂尾楼和空置房抱有高度警惕。为了防范系统性风险,中国出台了针对房企融资的“三道红线”去杠杆政策。然而该政策用力过猛,导致整个房地产市场急转直下,投资与销售全面崩塌。 面对房地产塌陷对宏观经济的剧烈拖累,决策层的应对之策并非向居民端发钱刺激消费,而是向银行系统下达明确的窗口指导:全力向先进制造业注入信贷,特别是国家高度依赖外部进口的高精尖领域。对高层而言,核心技术和关键零部件的“进口依赖”就是国家安全的软肋。于是,国家金融体系和地方政府调动起天文数字的资金,蜂拥扑向补短板与战略新兴产业。其宏观结果是,中国再次回到依靠巨额净出口拉动经济增长的老路。在中国整体 GDP 维持在 3% 到 4% 的中低速增长区间中,竟然有 1.5 到 2 个百分点的增长完全由净出口贡献。 ```mermaid flowchart TD accTitle: 房地产调整至中国冲击2.0演进流程 accDescr: 展示从中国房地产调控政策落地到引发工业制造爆发并催生中国冲击2.0的传导逻辑 subgraph PolicyCrisis["宏观调控与地产下滑"] A["出台'三道红线'政策"] --> B["房地产行业快速去杠杆"] B --> C["内需与地产投资失速"] end subgraph StatePivot["资本流向重构"] C --> D["银行信贷窗口指导"] D --> E["定向输血先进制造业"] E --> F["攻克'进口依赖'薄弱环节"] end subgraph GlobalShock["中国冲击 2.0 形成"] F --> G["高端产能与工业品全面过剩"] G --> H["国内进口停滞 / 外部出口暴增"] H --> I["挤压欧洲与日本等竞争国制造业"] end ``` 这种增长结构带来了全球贸易格局的剧烈震荡。中国不仅向全世界倾销电动汽车和动力电池,更在盾构机(tunnel boring machines)等各类高端重型机械设备领域登顶全球出口第一。更反常的现象在于贸易顺差的失衡机制:通常情况下,一国内部经济发展会带动进口同步攀升,但中国当下的商品进口几乎停滞不前。中国在以数倍于全球贸易平均增速的势头对外狂飙出口的同时,对外部世界的商品采购量却不增反降。以汽车行业为例,短短五年间,中国乘用车年进口量从约 100 万辆腰斩至 50 万辆以下;与此同时,汽车年出口量却从不足 100 万辆不可思议地飙升到了 1000 万辆级别。这场产能海啸并没有给美国带来最直接的钝痛,反而沉重打击了日本和欧洲这几个传统制造大国的心脏。 - 经济增长动能转换:在 3%-4% 的经济增速中,约 1.5 到 2 个百分点由净出口贡献。 - 汽车贸易逆转:短短 5 年内,汽车进口从每年约 100 万辆降至 50 万辆以下,出口则从不足 100 万辆爆发式增长到 1000 万辆。 - 冲击重点转向高端资本品:不仅包括消费电子,还覆盖盾构机、电池、重型机械等传统由德日主导的高端工业门类。 --- ### [16:30](https://www.youtube.com/watch?v=2PffKnEEY-E&t=990s) 欧洲腹地承压:德国工业模式的盛极而衰 “中国冲击 2.0”在各发达经济体之间造成的冲击极不均衡。过去 40 年间,美国在全球产出中所占的份额惊人地保持了总体稳定,中国的强势崛起实际上主要是以牺牲其他 G7 成员国的份额为代价的,而德国首当其冲成为了最大的受害者。不同于美国成功转型为以软件技术、互联网平台和金融为主导的经济体,德国始终坚守传统制造业大盘,并深度押注对华出口。在 2008 年全球金融危机后,德国对中国的制成品出口一度占据了其自身 GDP 的接近 3%。 彼时,德国凭借自身在机械工程和高端制造领域的绝对壁垒,享受了对华贸易的黄金期:从汉堡总装厂下线的空客 A320 客机、开山破土的高精密盾构机,到驰骋在中国马路上的奔驰、宝马等豪华轿车与中大型高端 SUV,无一不是德国财富的源泉。然而,这种紧密重叠的产业结构最终埋下了祸根。中国开始全面攻占高端机械,不仅迅速实现了本土自给,而且在电动汽车(EV)的革命性变革中弯道超车。相比之下,德国车企在欧洲本土尝试制造的纯电动汽车在全球市场上竞争力孱弱,其高昂的生产成本在性价比极高的中国同行面前溃不成军。结果,德国对华出口骤降了约占其 GDP 一个百分点的规模,曾经在金融危机后拉动德国增长的“最大引擎”,一夜之间变成了拖累其经济活力的“最大阿喀琉斯之踵”。 - 德国对华制成品出口规模在金融危机后曾逼近其 GDP 的 3%,如今已缩减约整整一个百分点。 - 空客 A320、豪华 SUV、盾构机等德国王牌工业品在中国遭遇本土替代。 - 德国车企在电动化浪潮中的技术与成本滞后,使得传统燃油车积累的壁垒迅速瓦解。 --- ### [18:20](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1100s) 制造业跨越前沿:以合资壁垒与特斯拉效应攻克电动车 对于“中国冲击 1.0”,西方主流社会的叙事往往带有一种傲慢与释然:中国抢走的是服装、鞋袜、廉价计算器等低附加值制造业,那是西方长期来看本就想要主动淘汰的低端产能。然而,“中国冲击 2.0”的致命之处在于,中国正在以惊人的速度直接主导全球技术前沿产业——电动汽车、电池、光伏设备,乃至于在最尖端的人工智能研发上紧紧咬住美国。究竟是怎样的机制,让中国在极短时间内从“代工螺丝钉”一跃攀爬至高科技制造业的世界第一梯队? 以电动汽车产业的崛起为例,要造好一辆电动车,核心基础仍然是具备造出一辆好车的机械工程与总装能力,它本质上是“智能手机与机械汽车的结合体”。早在几十年以前,中国就通过征收高达 25% 的整车高关税筑起贸易高墙。大众、通用(GM)、福特和丰田若想打开中国庞大的本土市场,就必须硬生生越过这道关税壁垒,唯一的合法路径就是与中国国有车企成立合资企业(JV)。随着外国巨头建立合资厂,博世等全球顶级零部件供应商也被迫来到中国就近配套建厂。在教会中国工人生产高质量汽车零部件的同时,这些供应链工厂也把成本压到了西方无法想象的极低水平。紧接着,本地零部件供应商像雨后春笋般崛起,中国因此在电动车爆发前夕,就已经悄然构筑了全球最成熟、最完备的汽车工业零部件配套网络。 ```mermaid flowchart LR accTitle: 中国电动车产业登顶路径 accDescr: 说明中国汽车工业如何通过合资企业制度积累供应链,再通过国家战略培育本土新能源汽车产业 subgraph Foundation["第一阶段:传统工业地基"] direction TB T["25% 整车关税保护"] --> JV["外资被迫建立合资厂(JV)"] JV --> SC["跨国零部件供应链本土化"] SC --> LC["中国本土配套供应链成熟"] end subgraph StatePush["第二阶段:换道超车战略"] direction TB ST["合资国企安于现状、缺乏活力"] --> P["明确 EV 为国家战略抓手"] P --> F["国家银行与地方补贴全线倾斜"] F --> BAT["培育本土动力电池巨头"] end subgraph Scale["第三阶段:鲶鱼入局与生态爆发"] direction TB TS["引入独资特斯拉(上海工厂)"] --> REQ["强制高比例本土化采购"] REQ --> SH["成熟供应链全面外溢赋能国产品牌"] end Foundation --> StatePush StatePush --> Scale ``` 然而,中国政府并不完全满意合资企业的结果。长期以来,中国本土的自主品牌毫无竞争力,合资企业中的国有大厂依靠外国技术躺着数钱,变得“养尊处优且怠惰(fat and lazy)”。因此,高层敏锐地意识到新能源汽车换轨超车是历史性机遇,迅速将其列为国家级战略重心。国家意志一旦确立,庞大的金融系统便即刻转向:国有银行向所有涉足电动汽车领域的本土民营与小微企业大开信贷绿灯,地方政府更是疯狂砸钱提供场地与产业补贴,同时全力培育出以宁德时代为代表的自主本土电池产业链。 更为关键的一步是引入特斯拉(Tesla)。特斯拉被破例允许作为首家无需设立合资企业的外商独资车企入华建厂,但作为享受上海市政府巨额土地与融资支持的条件,特斯拉必须满足极高比例的“本土零部件采购率”(local content requirements)。这一“鲶鱼效应”彻底打通了整套电动汽车供应链的任督二脉:能够满足特斯拉严苛标准的高素质供应链网络,转头便全面滋养了蔚来、小鹏、理想、比亚迪等中国本土新兴车企。再加上早期的国家购车补贴政策在设计上带有严格的国产化倾向,一个在成本、技术、迭代速度上对欧美传统车企降维打击的先进制造怪物就此成型。 ### [22:27](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1347s) 所谓“产能过剩”的本质是什么? 中国电动汽车产业的爆发式增长并非偶然,它建立在西方零部件供应商向中国迁移、国内企业消化吸收与模仿,以及高强度产业政策的深厚基础之上。政策甚至硬性规定电动汽车必须采用中国制造的电池,这不仅扶持了本土电池产业,更直接拉动了自主品牌电动车整车的腾飞。面对中国制造业这种指数级的增长,国际社会频繁指责中国存在“产能过剩”(Overcapacity)并将其视作危机。埃兹拉·克莱因提出疑问:按照直觉,生产的汽车多于本国消费量难道不是一件好事吗?为什么这会构成全球性问题? 布拉德·塞瑟对此给出了极其清晰且切中要害的界定:所谓产能过剩,指的是中国在某些特定行业生产的产品远超其国内市场的消化能力,同时在全球范围内,中国还在一个总产能本就供大于求的行业里疯狂加码投资。以动力电池为例,中国现有的电池制造能力已经是当前全球总需求量的数倍之多,这导致其他国家的企业几乎没有任何进入市场的生存空间。 在汽车行业同样如此。欧美目前已有许多汽车工厂因需求不足而处于低负荷运转或闲置状态,而中国不仅许多工厂本身就开工不足,还在持续扩大产能。塞瑟指出,中国如今具备每年制造约 5500 万辆汽车的潜在能力,这已经逼近全球总需求量的三分之二。在市场本已饱和的背景下,一个庞大的封闭市场突然大幅扩张产能,通过压低利润空间将世界其他地方的生产挤出市场,这必然意味着别国现有工厂的倒闭与清退,它早已超出了自由市场中“正常优胜劣汰”的范畴。 - **电池产能的绝对压制**:中国的动力电池产能数倍于全球当前的总需求,构成了几乎无法逾越的准入壁垒。 - **全球汽车产能对比**:中国具备年产约 5500 万辆汽车的能力,相当于全球总需求量的一半以上、甚至接近三分之二,而欧美工厂本就面临开工不足的问题。 - **挤出效应**:在需求总量未爆发性增长的前提下,中国产能的激增直接迫使其他国家的汽车工厂退出市场。 --- ### [25:12](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1512s) 美国历史上的崛起与中国模式的根本不同 针对外部对中国产能的指责,外界常有一种反驳:美国历史上也是从一个相对边缘的经济体崛起为全球制造业巨人的,当年底特律的崛起同样击败了其他国家的优秀企业,为何美国的崛起被普遍视为互利共赢,而中国的扩张却被视作威胁? 塞瑟剖析了这两者之间在底层逻辑上的根本差异。美国当年的工业化叙事,其核心驱动力是为自身飞速膨胀的“庞大国内市场”服务,是以内部投资和本土消费为主导的增长模式。美国真正成为全球首屈一指的出口大国,仅发生于第二次世界大战结束后不久、整个欧洲和世界其他工业国几乎被夷为平地的短暂特殊窗口期,且这一阶段持续的时间并不长。 与此截然相反,中国当下的工业崛起从一开始就与出口深度绑定。除了二战后极短暂的特殊历史时期外,美国在任何阶段的出口依赖度和外贸体量都无法与今天的中国相提并论。中国并非单纯在满足内需,而是将庞大的工业制造机器瞄准了全球市场,这使得其产能释放直接冲击到全球各国的基本盘。 ```mermaid flowchart TD accTitle: 制造业崛起路径对比 accDescr: 对比历史上美国以内需驱动的工业崛起与当下中国以出口扩张为导向的产能模式 subgraph US_Model ["历史上美国的崛起模式"] U1["庞大且快速扩张的国内市场"] --> U2["工业投资主要用于满足本土消费"] U2 --> U3["仅在二战后短暂成为全球超级出口国"] end subgraph China_Model ["中国当下的工业模式"] C1["强力的产业政策与产能投入"] --> C2["产能远超本土市场吸收极限"] C2 --> C3["深度依赖外部出口消化过剩产能"] C3 --> C4["对全球既有产业形成直接挤出"] end ``` --- ### [26:17](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1577s) “中国只是凭实力赢了”?廉价商品背后的地缘与产业危机 克莱因提出了一个颇具挑衅性的观点:有人认为中国就是“纯粹靠实力赢了”(China is winning),在全球竞争中光明正大地超越了对手。如果其他国家感到不满,那就应该去造更好的汽车、造更便宜的太阳能电池板并打造更强的供应链;外界所谓的“中国冲击”和“中国问题”不过是在抱怨,甚至是企图压制中国崛起的借口;从全球能源转型和消费者福利的角度来看,便宜的中国电动车和太阳能组件难道不是一件大好事吗? 塞瑟坦言,如果唯一的政策目标是追求“短期内的消费者利益最大化”,那么毫无疑问应当全力拥抱中国的电动车和太阳能设备,因为开放经济学的原理就是谁便宜就买谁。然而,这种单纯的消费主义视角忽略了极为致命的三个层面的代价: 第一,**对本土核心产业与社区的毁灭性冲击**。仅仅依靠中国现有的闲置产能,就能毫无压力地供应整个欧洲汽车市场每年约 1000 万辆的全部需求。一旦这一传统支柱产业崩塌,其后果将重演“中国冲击 1.0”的惨剧——围绕汽车制造业建立起来的城镇和社区将彻底消亡。在“中国冲击 2.0”时代,由于中国市场高度饱和且不进口同类产品,失去汽车制造岗位的工人根本无法转向其他出口部门,只能被迫流向低薪、低创新的服务业。欧洲大量的研发投入与前沿创新历来深植于汽车工业,失去这一根基,整体经济的创新力将遭遇永久性萎缩。 第二,**供应链依赖的武器化风险**。塞瑟强调,各国已经切身体会到供应链过度集中的危险。中国在稀土、磁铁等核心原材料及零部件上占据主导地位,“如果你想要那些磁铁和稀土,你最好别惹恼中国,最好多说中国的漂亮话,最好别像日本那样声称一旦有事会协助防卫台湾”。这种必须“尊重”对方才能获得供应链准入的安全束缚,让各国感到极度恐惧。 第三,**中国成功的本质并非自由市场,而是高强度的产业保护**。中国电动汽车并非靠国门大开、自由竞争而崛起,其孵化过程依托了昔日高达 25% 的高关税壁垒、极具排他性的本土电池准入目录,以及地方政府超常规的补贴支持。特斯拉在上海建厂,前提是零部件本土化率必须达到 90%;地方政府甚至会完全按照企业的定制规格出资代建整座工厂。塞瑟总结道:如果你向中国完全敞开大门,你得到的只会是源源不断的廉价汽车,却永远无法建立起自己的电动汽车工业。 - **欧洲市场的脆弱性**:中国仅凭现存闲置产能即可填满欧洲每年 1000 万辆的乘用车市场总需求。 - **高壁垒孵化历程**:中国电动车产业最初受 25% 的整车关税保护,且补贴政策严格绑定本土电池供应商。 - **地方政府的托底代建**:许多车企工厂由地方政府按图纸全资代建并完成配套基础设施,极大地降低了企业的初始固定资产投资。 --- ### [30:41](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1841s) 汇率操纵的回归与“规则与竞争”的深层矛盾 在探讨不公平竞争时,克莱因指出,过去美国贸易辩论中最常听到的罪名是“汇率操纵国”,虽然前些年这一议题热度有所降温,但塞瑟近期却认为它重新成为了核心症结。克莱因追问:究竟何为汇率操纵?它为何重要?历史的钟摆如今又停在了哪里? 塞瑟澄清,汇率操纵不应被随意理解为“一种我们不喜欢的汇率水平”。严格的经济学界定需要同时满足两个维度: 1. **币值存在实质性低估**:一国拥有远超其宏观经济基本面特征所应对应的巨额经常账户顺差。 2. **官方或准官方机构的直接入市干预**:央行或政府通过直接在外汇市场上大量买入外币来人为压低本国货币汇率,而非单纯源于货币政策利差导致的资本流动。 塞瑟指出,在 2003 年至 2012 年间,中国毫无争议地完全符合这两项标准。尽管出于复杂的地缘政治妥协,美国当时未在正式报告中将其列为操纵国,且在此期间后半段中国曾允许人民币逐步升值,但其干预的本质毋庸置疑。而如今,这一机制正在以新的面貌卷土重来——中国不再主要通过央行资产负债表直接干预,而是通过国有大型商业银行在外汇市场上大举买入外币,规模高达“每月 500 亿美元,每年近 6000 亿美元”。这一现象虽然未受到特朗普阵营的重点关注,却已经引起了欧洲方面的高度警惕,汇率问题正从昔日的中美摩擦演变成为一场波及全球的宏观博弈。 克莱因在此处反思道,长期以来,西方自由主义建制派习惯于一种“程序正义”式的指控,即批评中国违背了自由贸易原则、违背了世贸组织(WTO)关于补贴的规则或是操纵汇率,将问题归咎于“中国在作弊”。然而现实更加复杂:除去作弊的成分,中国在很多尖端制造业领域确实已经建立起了纯粹的绝对竞争优势。那么问题的本质,究竟在于中国通过不公平手段获得了优势,还是即便在技术与效率上中国已经“堂堂正正地赢了”,西方世界也依然无法承受失去全部高端制造所带来的政治与经济代价?双方就这一核心分歧展开了更深层次的探寻。 ### [33:48](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2028s) 规则还是结果:国家安全与产业生态的现实主义转向 埃兹拉·克莱恩提出,当前西方国家面临的核心矛盾早已不是“中国汇率是否被人为低估”这种技术性问题,而是一个关乎国家利益、相互依赖武器化(weaponization of interdependence)的根本命题:美国、德国乃至整个欧洲,如果任由本土支柱产业被彻底摧毁,显然是一个灾难性的战略失误。这种焦虑不再源于对自由贸易原则的抽象信仰,而是关乎如何维持一个健康的国家经济生态。 布拉德·塞瑟坦言,自己越来越认同这种“结果导向”的立场——西方国家只是明确需要保留这些战略性工业门类,拒绝陷入彻底的单向依赖。在当今时代,继续纠结于中国是否在程序上违反了世贸组织(WTO)规则显得非常过时,甚至有些滑稽,因为“我们自己显然也没有遵守最基本的规则”。世贸组织的补贴规则本身就充满了模糊与争议:规则允许一般性产业补贴,但禁止以进口替代为目的的补贴;然而,如果政府补贴的行业此前百分之百依赖进口,这到底算产业扶持还是违规的进口替代?再比如,中国政府设立的政府引导基金向私募股权或风投机构注资以发展芯片制造业,在 WTO 规则下究竟算不算政府补贴?答案往往是似是而非的。 塞瑟强调,在关乎国家安全的战略领域,各国真正在乎的是最终的产业格局,而非程序正义。最典型的例子就是稀土等关键原材料,它们在国防军事工业中拥有不可替代的直接用途。即便中国在贸易行为上做到绝对合规、公平,美国也绝不可能、更不应该在战略物资上百分之百依赖中国。中国自身的发展逻辑同样由结果导向驱动,从不拘泥于程序的合规性;西方国家也必须明确划定底线,分清哪些领域只看结果、哪些领域依然诉诸公平程序。 ```mermaid flowchart TD accTitle: 美中贸易政策演变逻辑 accDescr: 从世贸规则转向单边关税、供应链产业政策以及极限关税博弈的演进路径 subgraph S1["特朗普 1.0 时代"] A["打破 WTO 多边共识<br/>重构供应链安全话语体系"] --> B["莱特希泽精准加征关税<br/>25% 针对性税率可承受"] end subgraph S2["拜登政府时期"] C["全面继承关税并扩大范围"] --> D["前沿芯片硬性出口管制<br/>明确对抗与技术脱钩"] D --> E["《通胀削减法案》产业补贴<br/>但在关键矿物与原料药上仍显不足"] end subgraph S3["特朗普 2.0 极限博弈"] F["对华无差别极限施压理论"] --> G["报复升级:关税飙升至 145%"] G --> H["关键链条反制与国内通胀承受极限<br/>迫使美方不得不回撤降级"] end B --> C E --> F ``` ### [36:18](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2178s) 特朗普第一任期:迟到的冲击应对与单边关税转向 在评估特朗普政府对华政策的得失时,塞瑟指出,特朗普第一任期(2017—2018年)呈现出一种微妙的时空错位感:美国政治体制对“中国冲击1.0”的剧烈反弹,居然发生在其实际冲击波峰过去的五到十年之后。尽管在时间节奏上显得滞后,但其政策的大方向大体是正确的。特朗普政府准确地认识到,原本寄望用来约束中国的 WTO 框架,反过来变成了束缚美国自身手脚的枷锁,而中国却极其擅长“在规则的灰色边缘游走”以实现本国产业目标。 在执行层面,特朗普第一任期的关税策略实质上由美国贸易代表罗伯特·莱特希泽(Robert Lighthizer)主导,其手段相对克制且具有针对性: - 关税主要且明确地针对中国,而非向全球盟友无差别开火; - 关税税率普遍设立在 25% 这一美国经济和供应链尚能承受的门槛内; - 关税覆盖面留有余地,为后续谈判保留了递进施压的空间。 莱特希泽的关键贡献在于彻底打破了过往的 WTO 自由贸易共识,将双边关系带入了由“对等依存”(reciprocal interdependence)、“供应链脆弱性”和“供应链战争”构成的全新语境,甚至在经贸交往中全面引入了军事化词汇。然而,第一任期的致命缺陷在于极端的单边主义。塞瑟提到当时媒体报道的一则轶事:在美中第一阶段经贸协议谈判期间,法国总统马克龙曾主动提议美欧协调立场、联合对华谈判,但特朗普断然拒绝并宣称:“不,不,不,关税是我们加征的,所有的谈判红利和利益流动必须全部归美国所有。”这种单边主义在随后的演进中演变成了某种不可收拾的“极端单边主义”。 ### [39:09](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2349s) 拜登政府的延续与局限:芯片限制、产业政策与脆弱的供应链 拜登政府上台后,民主党虽然此前批评过特朗普对华言论与关税手段,但在实际操作中不仅完整保留了对华关税,更将其延伸至电动汽车(EV)等全新战略板块。拜登团队实施了极具进攻性的出口管制,切断中国获取先进逻辑芯片和先进制程制造能力的途径,同时推出了《通胀削减法案》(IRA)和《芯片与科学法案》,通过极其严格的“购买美国货”(Buy American)及本土供应链成分要求,扶持本土太阳能、风电和半导体产业。 塞瑟认为,拜登政府的战略举措方向正确,但在广度和力度上“依然走得不够远”: - **芯片领域的正面对决**:出于对台湾地缘脆弱性(可能遭受中国大陆封锁或攻击)的深度担忧,美国做出了决定性抉择,坚决阻断中国制造和获取全球最先进算力芯片的渠道。塞瑟直言,这是极其正确但毫无疑问被中方视作“直接敌对行为”的决定。这种对抗使得双边关系不可逆地走向阵营化,促使中国将“在芯片供应链中彻底剔除美国技术”确立为最高优先级的国家战略,而美方也必须同步防范经济胁迫。 - **关键产业的严重短板**:尽管口头上重视,拜登政府在关键矿产、稀土磁铁以及原料药(APIs, Active Pharmaceutical Ingredients)领域并未建立起实质性的产业护城河。在抗生素和核心基础药物的前体化学原料上,美国目前几乎百分之百依赖中国供应。 塞瑟指出,产业政策在美国长期被视为“其他国家才会搞的笨拙把戏”,华盛顿并不擅长此道。但在稀土、稀土永磁体和药物活性成分等领域,西方企业根本无法在纯市场成本上与中国竞争,政府必须通过制度性补贴和强力激励,硬性维持哪怕成本极高的本土产能。 ### [42:37](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2557s) 特朗普第二任期的极限博弈:145%关税螺旋与反噬效应 对比两位共和党决策者的风格,塞瑟直言自己更赞赏第一任期内莱特希泽的操盘手法,而非第二任期中特朗普本人的关税路线。莱特希泽的策略重在“可维持性”,只做出美国国内经济吃得消的威胁;而特朗普第二任期的底层假设在逻辑上存在致命盲区——他假定美国只要单方面挥舞关税大棒,贸易伙伴就会被动妥协、降低对美壁垒且不敢实施报复。 这一套对其他顺从的贸易盟友或许奏效,但对中国完全失效: - **早有戒备的对弈**:中方领导层在过去数年里早已推演并做好了应对全面经贸冲突的准备。 - **关税报复螺旋**:面对美方加征关税,中方迅速施加对等制裁,美方随即反制报复,导致双边关税直接飙升至荒谬的 145%。 这种全面切断双边贸易的极限税率并没有为美国带来更大的博弈筹码,反而迅速演变为对美国自身经济的自我惩罚。美国工业和消费市场根本无法承受对中国几乎所有进口商品征收 145% 关税的冲击。更致命的是,中方随即收紧了稀土等关键原料的出口审查,卡死了美国高端制造业的关键命门。 塞瑟给出了一个极具生活质感的例证:甚至无需等到供应链管制全面爆发,单是在第二任期实施 100% 以上极限关税的第一个夏天,全美零售商就陷入了恐慌。从人造圣诞树到节日装饰品,这些看似不起眼却直接关乎美国国民生活与假日消费的日用消费品,几乎全部产自中国。当这批货物面临翻倍的惩罚性关税时,华盛顿的决策层很快意识到,这种毫无纵深的极限关税政策在经济上完全不可持续,最终不得不主动寻求谈判降级,撤回不可维系的畸高关税。 ### [45:01](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2701s) 关税战的设计败笔:圣诞树困局、高额关税与骑虎难下 布拉德·塞瑟(Brad Setser)指出,这一轮激进的关税在设计上犯了极其严重的策略失误,最典型的特征就是“覆盖过宽、税率过高、推进过急”,严重扰乱了美国本土经济。他以人工圣诞树进口商的遭遇为例:美国销售的圣诞树通常在夏季提前批量进口,如果被课以高达 150% 的关税,进口商的零售端价格就必须飙升两到三倍。由于进口商是在为未来的销售备货,他们完全无法确定美国消费者是否愿意为一棵圣诞树支付如此离谱的天价,结果整个行业干脆直接停止了进口。类似的断供与成本飙升在多个行业蔓延,许多美国制造企业被迫为进口零部件支付高昂税费,导致其自身终端产品的出口竞争力彻底丧失。 这种关税机制不仅打击了国内产业,更在战略上让美国陷入被动。塞瑟对比了特朗普第一任期内贸易代表罗伯特·莱特希泽(Robert Lighthizer)的做法,认为莱特希泽当时的策略要精明得多——其核心铁律是:“永远不要把关税升级到你自身无法承受、最终不得不撤回的地步。”一旦你把关税拉到不可维持的高位,博弈对手就会一眼看穿你只是在寻找一个保全颜面的下台阶。这种自陷绝境的极限施压,成了政策落地中的第一个重大败笔。 ### [46:04](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2764s) 误伤盟友的“沃尔玛关税”与加拿大电解铝荒局 政策的第二个致命失误在于关税的波及范围完全缺乏合理的国别针对性。所谓的“解放日关税”不加甄别地砸向几乎所有贸易伙伴,直接激怒并疏远了一大批本就对中国贸易扩张深感担忧的盟国,从源头上扼杀了组建对华贸易同盟的可能。更荒谬的是其内部逻辑的自相矛盾——美国对加拿大铝材加征了极高关税。塞瑟强调,魁北克的加拿大电解铝利用当地充沛的水电生产,堪称绿色清洁铝,且自二战时期美军制造轰炸机起就与美国供应链深度绑定;加拿大铝对美国不仅毫无国家安全威胁,更是美国基础工业的生命线,缺少了加拿大原铝,美国本土市场根本无法维持供需平衡,直接导致物价飞涨。 更深层的讽刺在于,电解铝在本质上就是“电力的结晶”(electricity distilled),属于极度耗能的产业,在本土复产直接与当下扩张的 AI 数据中心争夺宝贵的电力供应。因此,即使关税筑得再高,也没有资本愿意在美国本土新建铝厂,这项关税变成了纯粹的“自残行为”。与此同时,美国甚至与为数不多对自己保持贸易顺差的国家——巴西打起了贸易战,完全违背了特朗普自身的衡量标准。更具黑色幽默的是,由于科技巨头成功游说,用于数据中心建设的芯片和高端电子零部件纷纷获得豁免;“最富有的公司总能找到脱身之道”,最终承受最高关税惩罚的反而是从东南亚进口的低端日用百货。战略关税在执行中彻底走样,退化成了一场惩罚底层消费者的“沃尔玛关税”,而中国反而获得了与其他国家无异的同等待遇,在客观上成了这场关税乱局的大赢家。 - **关税扭曲与豁免现实:** 高科技芯片与数据中心核心设备凭借科技巨头的强力公关免受波及,税负全面转移至东南亚生产的低端日用消费品。 - **加拿大绿色电解铝困境:** 依托魁北克清洁水电、自二战延续至今的传统供应被关税切断,由于与数据中心竞争电力,美国本土未见任何新建铝厂投资。 - **巴西贸易争端悖论:** 美国在本身对巴西享有贸易顺差的前提下盲目施加惩罚,彻底颠覆了以逆差为导向的贸易战逻辑。 ```mermaid flowchart TD accTitle: 特朗普第二任期关税政策的扭曲流向 accDescr: 展示广泛关税如何豁免科技巨头、误伤盟友、打击低端消费品,并让中国获得同等待遇 subgraph Tariffs["非针对性全面关税政策"] T1["高额全面关税"] end subgraph Impact["产业链与盟友冲击"] I1["豁免高端芯片与数据中心<br/>(科技巨头成功游说脱身)"] I2["重创加拿大铝材与巴西贸易<br/>(误伤盟友,加剧国内电力争夺)"] I3["重创东南亚低端家庭用品<br/>(沦为针对平民消费者的'沃尔玛关税')"] end subgraph Result["战略结局"] R1["中国获得与盟友相同的贸易待遇<br/>(盟友联盟瓦解,中国反成相对赢家)"] end T1 --> I1 T1 --> I2 T1 --> I3 I1 & I2 & I3 --> R1 ``` ### [48:28](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2908s) 中国真正的反制底牌:抛售美债是伪命题,稀土磁铁才是杀手锏 随着经贸摩擦加剧,中国展现出了强硬的反制能力。外界长久以来一直担忧中国可能会抛售所持有的美国国债来实施金融报复,但塞瑟直言,美债市场在现实中根本无法成为中国的有效武器。事实上,中国并非外界所传的那样在持续大规模抛售美债,而只是将托管账户转移到了离岸和第三方机构。更关键的是,美国在货币端拥有绝对的主动防御工具:美联储完全可以通过量化宽松(QE)印钞购买国债,其承接能力远大于中国的抛售规模。这在 2008 至 2009 年金融危机期间(当时中国减持房利美和房地美的机构抵押贷款支持证券)以及 2020 年流动性危机中已得到充分印证。 相比于金融工具,中国真正具有杀伤力的杠杆集中在实体制造业的关键供应链上,尤其是用于尖端武器系统和高科技装备的高性能稀土磁铁。塞瑟指出,除非美国拥有极度充足的国家战略储备,否则一旦中国切断稀土磁铁供应,美国根本不存在短期替代方案。这种关键物理零部件的断供风险,构成了比金融抛售致命得多的战略威慑底牌。 ### [49:43](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2983s) 贸易战的成绩单:逆差未变、中国顺差激增与组装转移假象 埃兹拉·克莱恩(Ezra Klein)提出质疑:从特朗普执政初期至今,美国的整体贸易逆差图表几乎没有显著变化,美国在全球贸易战中究竟达成了什么目标?塞瑟发出了一声冷笑,给出了极其直白的评估:“没多少。”关税战既没有拉动美国对华出口(出口占美国 GDP 的比重反而较战前下降),也未能遏阻中国的产业政策,更未能迫使中国经济发生任何结构性转变。相反,中国手中依然牢牢握着美国农产品的“人质”——只要美国以关税相威胁,中国就会立即针对大豆、牛肉展开反制,迫使美国在农业选票压力下束手束脚。 从宏观格局来看,中国当前的全球出口规模和贸易顺差不仅没有萎缩,反而比贸易战爆发前更加庞大,其国内经济失衡程度也进一步加剧。美国表面上看到的“供应链转移”,仅仅是将最终组装环节从中国转移到了越南、中国台湾或墨西哥,而产品最核心的高附加值零部件与中间品依然源源不断地来自中国大陆。塞瑟总结道,除了一点关税财政收入外,这场缺乏精准定位的贸易战真正无可争议的“成果”,就只有激怒了传统盟友,以及因粗暴突破法定权限而激怒了美国国内法院。 - **出口不增反降:** 美国对华出口绝对值萎缩,在自身 GDP 中的占比低于贸易战爆发前水平。 - **反制痛点未消:** 中国对大豆、牛肉等大宗农产品的反制能力始终是制约美国政策的软肋。 - **组装转移假象:** 终端组装虽流向越南、墨西哥等第三国,但核心中间品与关键组件依然被中国供应链垄断。 - **中国顺差膨胀:** 中国凭借在制造业中间品和高端制造领域的优势,全球整体贸易顺差创下历史新高。 ### [52:44](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3164s) 错失的北大西洋联盟:从欧洲的程序偏执到特朗普的强人崇拜 面对中国巨大的制造业体量,其全球支配地位是否具备某种不可避免的历史必然性?塞瑟明确否定了“不可避免论”,但他承认,要想摆脱在制造业零部件及制成品上对中国的深度依赖,西方必须做出极其深远的体系变革。塞瑟回忆了自己在拜登政府初期的履职经历:当时美国贸易政策的首要诉求,正是极力避免与欧洲爆发贸易战,并试图说服欧洲认清双方共同的战略利益,推动欧美政策协调——其构想不是降低美国对华关税,而是引导欧洲将自身关税提升至与美国相当的水平,形成统一战线。然而彼时的欧洲对此毫无兴趣,死守世贸组织(WTO)规则框架,坚称“美国的问题在于不遵守规则,必须回归多边体制”。克莱恩调侃道:“没有什么比程序性争论更能让欧洲乐此不疲了。” 随着中国工业产能对欧洲汽车等核心支柱产业造成实质性冲击,欧洲内部的立场已经开始动摇,但特朗普政府却彻底错失了这一转折点。塞瑟分析,特朗普在思维方式上极度蔑视欧洲领导人,曾多次声称“欧洲几乎和中国一样坏”,在外交上完全摒弃盟友逻辑,反而极为推崇普京与习近平等威权领导人,认为他们才是“不受超国家机构束缚的真正领袖”,并认定欧洲领导人被欧盟体制绑住了手脚、软弱无能。这种强人崇拜和对盟友的鄙夷,导致美国错失了历史性战略机遇:本可以构建一个涵盖北美与欧洲的北大西洋经济同盟,通过建立统一对华贸易壁垒,整合出一个规模足够庞大、能够脱离中国供应链而独立运转的西方超级市场,从而自主支撑起完全不依赖中国零部件的电动汽车及稀土磁铁等高端产业链。 ### [55:53](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3353s) 全球电动汽车产能扩张与将安全同盟转化为产业同盟 布拉德·塞瑟(Brad Setser)指出,西方国家必须进行更好的产业政策协调,最核心的逻辑是将现有的安全防务同盟延伸扩展为“经济同盟”。面对中国在先进制造领域的崛起,美国及其盟友绝不能放弃竞争,不能轻易接受“全世界所有电动汽车(EV)未来都将在中国制造”这一现实前景。他发出严厉警示:中国目前完全有能力继续大幅扩张其电动汽车产能,其现有的闲置产能就足以满足全人类的汽车需求,这意味着理论上整个全球电动汽车产业都有可能被中国生产所垄断。 目前,中国电动汽车已占据欧洲汽车市场约 10% 的份额,塞瑟直言,如果不加干预,在不久的将来这一数字完全可能攀升至 70%。如果西方政策制定者认为这种结局不可接受,就必须“逆向推导”当下该采取的行动,因为这种供应链全面垄断已经不再是危言耸听,而是眼前的现实威胁。 - **产能扩张能力**:中国的电动汽车闲置产能与扩张潜力足以满足全球整体市场需求。 - **欧洲市场渗透**:中国车企已占欧洲汽车市场份额的 10%,若无政策干预,未来可能跃升至 70%。 --- ### [56:40](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3400s) “中国冲击 3.0”?软件、AI 基础设施与超额利润的终结 埃兹拉·克莱恩(Ezra Klein)随即提出了一个正在地平线上浮现的新命题——“中国冲击 3.0(China Shock 3.0)”。如果说 1.0 版本是中低端制造业,2.0 版本是高端电池、电动车等先进硬件,那么长期以来支撑美国资本市场繁荣、让美股在全球金融体系中鹤立鸡群的基石,正是软件、金融以及近期的生成式人工智能(AI)。克莱恩观察到,尽管美国目前在 AI 前沿模型上仍保持领先,但中国开源模型的进展神速、运行成本极低,差距正被飞速缩小。更关键的是基础设施瓶颈:中国或许在先进制程芯片上受制于人,但在电力能源建设和数据中心建设上具备极强的执行力,绝不会遭遇美国各地频频发生的地方居民抗议与电网并网审批迟滞。 塞瑟完全赞同这种警惕。他指出,服务业不只有“理发”这种本地实物服务,更是指软件、云服务和前沿大模型。过去在互联网时代,中国为了政治管控封闭了国内搜索市场,这导致百度的产品未能走向全球,留给美国科技巨头(Alphabet、微软、苹果等)独霸全球搜索、平台和云计算市场的格局,也正是这些极其丰厚的垄断利润将美股推向了占全球股市指数三分之二的惊人高度。但在 AI 时代,中国正在全方位直面竞争:一方面,投入巨资采购英伟达(NVIDIA)芯片并大建数据中心的美国科技巨头能否收回超高溢价还是个问号;另一方面,中国强大的开源生态与竞争压力很可能将高阶 AI 服务的利润率直接打平,令以往的“暴利(super profits)”不复存在。这不仅将重塑 AI 竞争格局,更将对美国最高薪的高端就业岗位及股票市场产生剧烈冲击。 ```mermaid flowchart TD accTitle: 三代中国冲击演进与美国支柱产业受到的威胁 accDescr: 展现从低端制造到高端硬件,再到当前 AI 软件服务与资本利润侵蚀的三个阶段演变路径。 subgraph Phase1["中国冲击 1.0 (2000年代)"] A["中低端制造业"] --> B["冲击美国工厂小镇与蓝领就业"] end subgraph Phase2["中国冲击 2.0 (当前)"] C["高端制造:电池、电动车、光伏"] --> D["具备满足全球总需求的潜在产能"] end subgraph Phase3["中国冲击 3.0 (地平线隐忧)"] E["高阶数字服务与开源 AI"] --> F["能源与数据中心基建落地更快"] F --> G["挤压美股科技巨头垄断利润与高端就业"] end Phase1 --> Phase2 --> Phase3 ``` --- ### [01:00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3600s) 战略脱钩还是相互依存:反向威慑与分立阵营的博弈 两人接着深入讨论了中美科技经贸的核心分歧:我们到底希望中国少出口、消除过剩产能,还是希望中国对外部进口更加开放?克莱恩提到英伟达 CEO 黄仁勋(Jensen Huang)向政府游说的逻辑——让中国在芯片算力上形成对英伟达生态的依赖,本身就是美国的战略筹码;但拜登政府严厉限制先进制程芯片出口,而特朗普执政时期则态度游移。当美国后来略微放松部分规格时,中国反而表现出强烈的自主研发决心,不再盲目青睐美国芯片。 塞瑟坦言自己的思考同样“复杂、矛盾甚至略带纠结”,但他点出了根本所在:无论美国给不给某款特定芯片,中国的既定目标自始至终都是**复制一整套完整的半导体产业链**,从最上游的光刻机设备到最前沿的先进制程芯片全部实现自主可控。在未来的战略格局上,存在两种可能的发展范式: 1. **相互制衡的互信威慑(Mutual Interdependence)**:大国对手之间通过“控制对等卡脖子环节(reciprocal vulnerabilities and choke points)”来实现冷和平——“你不能随意切断我的供应链,因为我同样能切断你的供应链”。但这是一种充满敌意的贸易形态,且风险在于中方最高领导层曾明确强调要让全球供应链单向依赖中国,以期在台湾等重大地缘议题上让外部世界丧失反制能力。 2. **阵营化独立生态(Rival Blocks)**:在战略关键领域分道扬镳。美欧联盟构建专属的电动车整车、电池设计、上游化学品闭环生态,中国构建自己的生态,中间的庞大第三国市场自行选择。与此同时,非战略性商品(例如美国农产品出口与普通日用消费品)依然维系正常贸易。 - **英伟达依赖论的破局**:中国并未因获得降级芯片而止步,其战略核心是实现半导体设备制造与芯片工艺的全面自主替代。 - **供应链威慑学说**:将军事威慑(Deterrence)理论引入贸易领域,通过相互握有致命供应链咽喉点来维持脆弱的共存平衡。 --- ### [01:03:46](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3826s) 宏观失衡悖论:中国产能过剩与美国透支借贷 塞瑟从宏观经济失衡的角度剖析了两国深层次的脆弱性。中国的出口部门无可否认极其强劲,扩张速度持续超越全球贸易增长;然而,其内部国内经济却面临极度疲软、普遍通缩、高失业率以及比美国更为严峻的人口老龄化危机。更致命的是全方位的制造产能严重过剩——例如中国本土对汽车的内部需求已经下滑了 20%,导致国内车企只能依靠疯狂出口来消解国内无法消化的产能。塞瑟直言,中国虽然是世界第二大经济体,却有着全球“最大规模的国内结构性扭曲”和极度失衡的储蓄与投资结构,依靠不断扩张的巨额贸易顺差来拉动增长的模式不可持续。 但塞瑟同样犀利地反思了美国自身的不可持续性:美国为了驱动这轮波澜壮阔的 AI 基础设施浪潮正在疯狂举债,同时联邦财政赤字高达 GDP 的 6% 来维持国内消费引擎的高速运转。双方其实都在以极不平衡的经济模式在悬崖边缘狂奔,各自的透支能力最终都会撞上现实的极限。 --- ### [01:05:18](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3918s) 终局荐书:理查德·麦格雷戈的《党》 在节目的经典收尾提问环节,克莱恩请塞瑟为听众推荐三本著作。 塞瑟推荐的第一本是对其理解现代中国影响最深远的经典之作——前《金融时报》(Financial Times)北京分社社长理查德·麦格雷戈(Richard McGregor)所著的《党:中国共产党统治者的秘密世界》(*The Party: The Secret World of China's Communist Rulers*)。塞瑟强调,任何人如果不理解中国共产党,就绝不可能理解现代中国。书中生动详实地刻画了党对整个国家和经济各行各业的绝对掌控,其中令他印象极深的标志性场景就是国有大企业 CEO 办公桌上的那台“红色电话机(red telephone)”——一条直通最高权力中枢的保密专线,随时下达企业下一步必须服从的政治与经济指令。紧接着,塞瑟准备介绍他的第二本推荐书目。 ### [01:06:06](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3966s) 嘉宾书单推荐与尾声致谢 在节目尾声的书单推荐环节中,布拉德·塞瑟(Brad Setser)分享了另外两本对他影响深厚的著作。第二本推荐的是迈克尔·佩蒂斯(Michael Pettis)所著的《波动机器》(*The Volatility Machine*)。塞瑟坦言,虽然佩蒂斯如今因对中国经济的研究而闻名于世,但这本篇幅不厚的小书其实“根本不是关于中国的,读起来也并不轻松”。该书的核心在于探讨全球经济、尤其是新兴市场中的金融脆弱性。在塞瑟看来,这是一部现代经典,其提供的分析框架不仅有助于理解新兴经济体如何陷入危机,对于剖析当下支撑人工智能(AI)基础设施大规模建设的复杂金融结构可能面临的潜在隐患,同样具有极高的洞察力与参考价值。 塞瑟推荐的第三本书则是查德·鲍恩(Chad Bown)与苏玛雅·凯恩斯(Soumaya Keynes)合著的《如何打赢一场贸易战》(*How to Win a Trade War*,暂译)。塞瑟直言这本书“大大超出了我的预期”。它绝非充斥党派偏见或宣泄情绪的论战之作,无论读者在贸易争端中持何种立场,都能从中获益匪浅。塞瑟认为,当今世界看待国际贸易的视角已经从单纯关注“机遇”转变为高度警惕“脆弱性”,而该书正是理解这一新秩序的最佳指引。在推荐完书单后,主持人埃兹拉·克莱恩(Ezra Klein)对塞瑟的深度分享表达了由衷感谢,塞瑟也表示非常荣幸能做客节目,全篇访谈在片尾音乐中落下帷幕。 - **迈克尔·佩蒂斯(Michael Pettis)《波动机器》(*The Volatility Machine*)**:聚焦全球经济与新兴市场的金融脆弱性框架,塞瑟认为该框架同样适用于审视当下的 AI 基建融资风险。 - **查德·鲍恩(Chad Bown)与苏玛雅·凯恩斯(Soumaya Keynes)《如何打赢一场贸易战》(*How to Win a Trade War*)**:非论战性质的客观指南,深入剖析了全球贸易从聚焦“发展机遇”向防范“供应链脆弱性”转变的新现实。 ## Notable quotes > [03:49](https://www.youtube.com/watch?v=2PffKnEEY-E&t=229s) 你开车去塔吉特商场所耗费的油钱变贵了,只是到了商场后货架上的东西变便宜了 — 布拉德·塞策 > [26:17](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1577s) 如果你想要那些磁铁和稀土,你最好别惹恼中国,最好多说中国的漂亮话,最好别像日本那样声称一旦有事会协助防卫台湾 — 布拉德·塞策 > [26:17](https://www.youtube.com/watch?v=2PffKnEEY-E&t=1577s) 如果你向中国完全敞开大门,你得到的只会是源源不断的廉价汽车,却永远无法建立起自己的电动汽车工业。 — 布拉德·塞策 > [33:48](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2028s) 我们自己显然也没有遵守最基本的规则 — 布拉德·塞策 > [36:18](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2178s) 不,不,不,关税是我们加征的,所有的谈判红利和利益流动必须全部归美国所有。 — 唐纳德·特朗普 > [45:01](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2701s) 永远不要把关税升级到你自身无法承受、最终不得不撤回的地步。 — 罗伯特·莱特希泽 > [46:04](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2764s) 最富有的公司总能找到脱身之道 — 布拉德·塞策 > [49:43](https://www.youtube.com/watch?v=2PffKnEEY-E&t=2983s) 没多少。 — 布拉德·塞策 > [52:44](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3164s) 没有什么比程序性争论更能让欧洲乐此不疲了。 — 埃兹拉·克莱恩 > [52:44](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3164s) 欧洲几乎和中国一样坏 — 唐纳德·特朗普 > [01:00:00](https://www.youtube.com/watch?v=2PffKnEEY-E&t=3600s) 你不能随意切断我的供应链,因为我同样能切断你的供应链 — 布拉德·塞策 ## Mentioned 埃兹拉·克莱恩 (Ezra Klein), 布拉德·塞策 (Brad Setser), 唐纳德·特朗普 (Donald Trump), 罗伯特·莱特希泽 (Robert Lighthizer), 埃马纽埃尔·马克龙 (Emmanuel Macron), 弗拉基米尔·普京 (Vladimir Putin), 习近平, 黄仁勋 (Jensen Huang), 理查德·麦格雷戈 (Richard McGregor), 迈克尔·佩蒂斯 (Michael Pettis), 查德·鲍恩 (Chad Bown), 苏玛雅·凯恩斯 (Soumaya Keynes), 对外关系委员会 (CFR), 世界贸易组织 (WTO), 美联储 (Federal Reserve), 沃尔玛 (Walmart), 塔吉特 (Target), 空客 (Airbus), 大众 (Volkswagen), 通用汽车 (GM), 福特 (Ford), 丰田 (Toyota), 博世 (Bosch), 特斯拉 (Tesla), 宁德时代 (CATL), 蔚来 (NIO), 小鹏 (XPeng), 理想 (Li Auto), 比亚迪 (BYD), 英伟达 (NVIDIA), 微软 (Microsoft), 苹果 (Apple), Alphabet, 百度 (Baidu), 房利美 (Fannie Mae), 房地美 (Freddie Mac), 《通胀削减法案》(IRA), 《芯片与科学法案》, 《党:中国共产党统治者的秘密世界》, 《波动机器》, 《如何打赢一场贸易战》 ## Video description Brad Setser follows Chinese trade closer than just about anyone else on earth, and he thinks we’re in the early days of a China Shock 2.0. The first China Shock was when China came to dominate low-end manufacturing in the 2000s, filling American shelves with cheap clothes, toys and electronics, while devastating American factory towns. This new China Shock could be even more destabilizing. China now dominates advanced manufacturing: electric vehicles, batteries, solar panels. It’s outcompeting nearly all high-end manufacturing around the world, and other countries are just starting to feel the pain. And China isn’t slowing down. It’s moving into software, too. Its frontier A.I. models are neck and neck with American ones. China’s success poses a serious threat to the economies and domestic politics of countries around the world. So what should those countries do about it? Setser is a senior fellow at the Council on Foreign Relations.He served in top trade and economic roles in the Biden and Obama administrations. And he is widely cited across the field as one of the top analysts of China’s economy and trade practices. 0:00 Intro 1:33 China Shock 1.0 7:54 What makes the Chinese economy distinct 13:07 China Shock 2.0 18:20 How Chinese manufacturing advanced 26:17 Is China just winning? 30:41 Currency manipulation 35:27 National security supply chains 36:18 Trump 1.0 trade policy 39:09 Biden administration trade policy 42:37 Trump 2.0 tariffs 48:28 China’s leverage points 49:43 Did the trade wars work? 56:40 China Shock 3.0? 59:50 Interdependence or decoupling? 1:05:19 Book recommendations Read the full transcript here: https://www.nytimes.com/2026/08/21/opinion/ezra-klein-podcast-brad-setser.html Watch more on @EzraKleinShow Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com. You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.html [Source](https://www.youtube.com/watch?v=2PffKnEEY-E)

Source quotes

[3:49] 布拉德·塞策: 你开车去塔吉特商场所耗费的油钱变贵了,只是到了商场后货架上的东西变便宜了 [26:17] 布拉德·塞策: 如果你想要那些磁铁和稀土,你最好别惹恼中国,最好多说中国的漂亮话,最好别像日本那样声称一旦有事会协助防卫台湾 [26:17] 布拉德·塞策: 如果你向中国完全敞开大门,你得到的只会是源源不断的廉价汽车,却永远无法建立起自己的电动汽车工业。 [33:48] 布拉德·塞策: 我们自己显然也没有遵守最基本的规则 [36:18] 唐纳德·特朗普: 不,不,不,关税是我们加征的,所有的谈判红利和利益流动必须全部归美国所有。 [45:01] 罗伯特·莱特希泽: 永远不要把关税升级到你自身无法承受、最终不得不撤回的地步。 [46:04] 布拉德·塞策: 最富有的公司总能找到脱身之道 [49:43] 布拉德·塞策: 没多少。 [52:44] 埃兹拉·克莱恩: 没有什么比程序性争论更能让欧洲乐此不疲了。 [52:44] 唐纳德·特朗普: 欧洲几乎和中国一样坏 [60:00] 布拉德·塞策: 你不能随意切断我的供应链,因为我同样能切断你的供应链

Source quotes

[3:49] Brad Setser: it cost you more to fill up your car to get to Target. [11:03] Brad Setser: tens of dollars a month [13:07] Three Red Lines [18:20] Brad Setser: fat and lazy [45:01] too broad, too high, too fast [55:53] Brad Setser: extend our security alliances into economic alliances [60:00] Brad Setser: We're not going to tell our farmers they can't sell to China. We're just not.

Original transcript

[0:00] The biggest economic story in the world [0:02] right now is China's growing dominance [0:05] across advanced manufacturing sector [0:07] after advanced manufacturing sector. [0:09] From electric vehicles, batteries to [0:12] solar panels to things that aren't even [0:14] traditional manufacturing that are [0:16] software like AI and open models where [0:19] they become a world leader. [0:22] What is happening here is very different [0:24] than what we call the first China shock [0:26] where China became a big exporter but of [0:28] things that were not that important to [0:30] advanced economies things that mattered [0:32] maybe for particular communities [0:34] mattered for many many jobs but weren't [0:37] the frontier of economic growth but now [0:40] it's different China is very much at the [0:43] frontier and they're dominating it and [0:45] that is going to transform geopolitics [0:47] it is going to transform the politics of [0:49] countries many [music] say in Europe [0:51] where China is pushing them out of [0:53] manufacturing that has been the absolute [0:55] cornerstone of their economies. And so I [0:58] think understanding it is about as [1:00] essential to understanding economics and [1:02] geopolitics in the coming era as [1:04] literally anything else. Brad Settzer is [1:07] a person who follows this about as [1:09] closely as anyone on earth. He is a [1:11] senior fellow at the Council of Foreign [1:12] Relations. He has served in top trade [1:15] roles [music] and economic roles in the [1:17] Biden and Obama administrations. And so [1:20] I wanted to hear his perspective on it. [1:23] He joins me now. [1:29] [music] [1:30] >> Brad Sutzer, welcome to the show. [1:32] >> Oh, thanks for inviting me. [1:33] >> So you've been arguing that the world [1:35] economy is going through a China shock [1:38] 2.0. So for people not familiar with [1:40] this, what was China shock 1.0? [1:44] 2002. [1:46] What happens is there's a big jump up in [1:49] China's uh exports and at the time it's [1:54] mostly in relatively low-end [1:57] manufactured goods, furniture, household [2:01] appliances, [2:03] clothing. [snorts] Uh and I think there [2:05] was a sense in the US that these were [2:08] not the industries of the future. And I [2:10] think what the China shock 1.0 do [2:13] academic literature shows is [snorts] [2:16] that even though these weren't the the [2:18] industries of the future, they were [2:19] still employing a meaningful number of [2:22] Americans uh often in the south, often [2:24] in the Midwest. And the China shock is [2:27] how that impacted local, not national, [2:30] local labor markets that had the most [2:33] overlap with China. And this has sort of [2:36] a a shortrun negative effect on parts of [2:39] the economy. you know, when the local [2:41] factory closes down, local real estate [2:43] prices turn down. And so, uh, and the [2:47] people who sell lunches to the factory [2:50] workers have fewer people to sell to. [2:52] So, it becomes a generalized downturn in [2:54] those communities. That was clearly [2:57] underestimated. [2:59] And then people have done all sorts of [3:01] further studies which correlate the [3:03] areas that have the most exposure to the [3:08] Chinese export wave to you know deaths [3:11] of despair to political realignments [3:15] >> voting for Donald Trump. [3:16] >> Voting for Donald Trump. But the basic [3:18] idea here is that you have a bunch of [3:20] places in the Midwest and the South [3:22] primarily that are manufacturing towns [3:25] >> that their factories are outsourced to [3:27] China or the goods are out competed by [3:29] China and basically the community goes [3:31] into sharp decline. [3:34] >> Correct. [3:34] >> And we never have a very good policy [3:35] answer. [3:36] >> I mean I think at the time we didn't [3:38] even try to have a policy answer. Uh but [3:40] it is actually conceptually difficult to [3:42] deal with uh the decline of a small town [3:45] when it's big industry. Let's live in [3:47] that debate for a minute. [3:49] >> What is the argument about whether or [3:52] not this rapidly accelerating level of [3:54] trade with China is good or bad for [3:57] America? [3:59] I think the overarching [4:02] view at the time uh was that China's [4:06] integration into the global economy was [4:08] more or less inevitable. Um [4:12] and that the negotiated terms of entry [4:16] into the WTO provided a reasonable [4:19] framework for China's entry full [4:22] integration into the global economy. [4:24] that trade was fundamentally good, that [4:28] there would be shifts across industries. [4:31] People would leave their jobs and import [4:33] competing parts of the economy, but [4:35] generally move to to exporting parts of [4:39] the economy or into the services sector. [4:41] And that we had a fairly flexible labor [4:44] market. And by the way, integration [4:48] would be a positive force for China's [4:52] political development. It might lead to [4:55] uh some forms of of liberalism within [5:00] China. It might moderate China's global [5:03] ambitions. It would sort of t commerce [5:06] would tame the dragon so to speak. And [5:09] the other dimension of the argument as [5:11] I've heard it and remember it is if [5:14] China wants to make cheap goods for [5:16] Americans, [5:18] people like low prices, they like low [5:20] inflation. like why would we fight this [5:23] gift? [5:23] >> I mean in particular because the [5:26] industries that were going to China [5:28] [clears throat] were not the source of [5:30] top you know cutting edge technology at [5:32] the time not generating a lot of high [5:34] wage jobs. So there was indeed a sense [5:37] that you know consumers would benefit [5:39] and did benefit from cheap goods and uh [5:43] the adjustment [5:45] would not threaten the core strengths of [5:49] the American economy. I think that was [5:50] the the belief. I would put a little [5:53] tiny asterisk around the cheap prices [5:56] thing. Unambiguously, China's explosion [5:59] of exports lowered the price of [6:01] manufacturers. [6:03] If you look at the overall evolution of [6:05] consumer prices during this period, [6:08] there's not much of a change. China's [6:10] integration into the world economy led [6:13] in huge amounts of investment ended up [6:15] putting a lot of upward pressure on [6:16] commodity prices. So you see oil prices [6:19] really take off during this period and [6:21] that's an offsetting [6:23] change. So you know you got to always [6:25] look at both sides of the ledge. [6:26] >> Yeah. So when you're going to Target or [6:27] Walmart and you're buying clothes and [6:29] toys. I mean they really are cheaper. Oh [6:31] yeah. Like in real terms from when I was [6:32] a kid, but you're saying that you know [6:34] what we're not seeing there is, you [6:35] know, the price of oil, the price of [6:37] >> it cost you more to fill up your car to [6:40] get to Target. [6:41] >> Um but once you got to Target it was [6:43] cheap. [6:43] >> Okay. So China shock the reason we use [6:46] this term is that this whole argument [6:48] got re-evaluated and so which parts of [6:50] it would you say panned out and which [6:51] didn't [6:53] I think the extent to which China would [6:56] become a big export market was [6:59] overestimated. [7:00] Uh China never was fully open to US uh [7:06] exports. I mean one of the more striking [7:08] things is that after 2004 so two years [7:11] after China's WTO entry China's imports [7:14] as a share of its GDP start to fall and [7:17] then it was not expected in a sense that [7:20] China would succeed as much as it did [7:23] while retaining the core aspects of its [7:27] different economic system. there were [7:29] the sense that China would have to [7:31] converge have to become more like us [7:33] maybe politically but certainly [7:36] economically [7:37] you know the state would wither away so [7:39] stateown enterprises would be privatized [7:42] you know 20 years after China joined the [7:43] WTO China's economy was you know the [7:46] thinking was it would kind of look like [7:48] the US or maybe look like Europe it [7:50] wouldn't be distinctively Chinese and [7:52] that didn't pan out [7:54] >> what is distinctively Chinese about the [7:55] Chinese economy [7:57] >> that's a hard question. You You opened [8:00] the door, man. [8:00] >> Yeah, I did. [laughter] I did. Um, [8:04] one thing that is distinctly Chinese, [8:06] which is not what you would normally [8:08] think about in a communist [8:12] le society is that China actually has a [8:15] rather thin system of social insurance. [8:19] It doesn't actually collect that much [8:21] tax. Uh, personal income tax collections [8:24] are like 1% of China's GDP. It's 8% [8:28] here. If you're not collecting personal [8:29] income tax, you're not going to be not [8:31] going to have the resources to be very [8:33] generous uh and helping, you know, [8:36] low-wage work. There's nothing like our [8:38] earned income tax credit where you get a [8:40] subsidy, basically money back from the [8:42] government if you don't get paid that [8:44] much. The taxation system relies heavily [8:47] on taxes on consumption. It's really [8:49] quite uh regressive. It hits poor [8:53] Chinese workers much more heavily. It [8:56] also does not have uh a unified national [9:01] labor market. The so-called hookos [9:03] system [snorts] uh basically means, you [9:06] know, you're supposed to work where you [9:08] were born. You can migrate and leave, [9:10] but when you migrate and leave, you give [9:12] up certain social rights. You got a [9:15] financial system that is fundamentally [9:18] state controlled. uh heavily banked, not [9:22] so much, you know, like the Wall Street [9:24] part of the Chinese economy exists, but [9:26] it's much smaller. The old-fashioned put [9:29] your money on deposit in a state bank, [9:32] [snorts] very much the dominant mode of [9:34] savings. And then the state banks [9:36] intermediate, so they can direct credit [9:39] towards the goals of the party, towards [9:42] the goals of the government. uh [9:44] sometimes under the direction of local [9:46] government, sometimes under the [9:47] direction of the national government. [9:50] The commanding heights of the Chinese [9:52] economy are still primarily in the hands [9:56] of centrallyowned stateowned [9:58] enterprises. So this is, you know, why [10:00] it's sometimes difficult to sell to [10:01] China. You want to sell soybeans, [10:04] actually you have to generally sell to [10:06] the state oil seeds monopoly. Uh you're [10:09] not selling to an individual soybean [10:11] crusher. uh selling airplanes to China. [10:14] You're selling to the big three state [10:17] airlines who act as a coordinated block. [10:20] Telecommunications, you're selling to [10:22] three stateowned companies whose [10:24] executives are picked by the party who [10:26] take direction uh centrally. [10:29] And then on top of that when the [10:31] government sets a policy direction you [10:33] know say we want to have a semiconductor [10:35] industry [10:37] ambitious provinces will say well we [10:41] should be the province that builds up [10:42] China's national champion. Here's an [10:44] ambitious guy he or girl looks like they [10:48] got a good idea. Here's a whole bunch of [10:49] money. We're going to subsidize your [10:52] factory. Uh maybe we're going to take [10:54] equity. We're going to make sure you get [10:55] bank loans. And so a whole bunch of [10:58] different firms spring up in that sector [11:01] with support and they start competing [11:03] very intensely. So it's you know a mix [11:05] of state directed and intensely [11:09] competitive. I want to draw something [11:11] out in the description which I thought [11:12] was great of how their economy is [11:14] different. China has gotten a lot richer [11:17] and less of that wealth than you might [11:20] have thought has gone into things like a [11:22] universal health care system, a social [11:25] insurance system for the elderly. [11:27] America got richer. We built social [11:28] security, Medicare, Medicaid, welfare, [11:31] earned income tax credit, child tax [11:32] credit. It China's gotten richer because [11:35] it has not allowed a lot of that because [11:38] also you have such power over the [11:42] financial system. It has just been able [11:44] to move much more of that money into [11:47] subsidizing [11:48] production, innovation in like new [11:51] economic areas it wants to dominate. [11:54] You know, the basic retirement benefit [11:58] that anyone in China gets no matter what [12:01] your your residency status is like tens [12:05] of dollars a month. It's really really [12:07] trivial. [12:09] uh the health insurance system, you [12:12] know, people aren't confident that when [12:13] they walk into the hospital that the [12:15] cost will be covered and frequently [12:17] there's a lot of uh upfront payments. [12:20] And some people also say the the one [12:23] child policy and an incredibly [12:24] competitive marriage market has made it, [12:28] you know, a requirement for young men to [12:30] save if they want to get married. All [12:32] this has produced an economy that just [12:34] saves an incredible share of its uh [12:37] national income over 40% of GDP uniquely [12:40] high. Uh and that means the state [12:43] financial sector is just flushed with [12:45] money. So part of it is that China has [12:48] the capacity direct investment through [12:50] the state. Part of it is just it can [12:52] finance out of its own savings [12:56] levels of investment that no other [12:58] country has matched. [12:59] >> Right? So this I think this is all true [13:01] through China shock 1.0. [13:03] >> The view is maybe more of it would [13:04] change as time went on, but it didn't. [13:07] >> So what is China shock 2.0? When do you [13:10] date it? How do you describe it? So I [13:13] date the start of China shock 2.0 to the [13:18] collapse of China's property market in [13:21] 2021. Now we all know there was an awful [13:24] lot going on in 2020, the pandemic. She [13:27] gets concerned that the there's too much [13:31] investment in property, probably rightly [13:34] so, that there were empty buildings [13:36] piling up. He introduces a policy, three [13:39] red lines, which sort of restricts [13:41] finance for the property sector and it [13:44] succeeds too well and the property [13:46] market basically tanks. And then in [13:50] order to offset the economic impact of [13:53] this fall, she more or less gives the [13:56] banking system guidance to lend to [14:00] finance [14:02] uh a new wave of manufacturing [14:04] investment and particularly [14:06] manufacturing in more cutting edge [14:09] sectors. So electric vehicles being the [14:12] the [14:13] leading example, but in general it's [14:16] investment in any sector where China has [14:21] import dependence and for she that's a [14:24] vulnerability and so he really directs [14:27] the states financial sector and you know [14:30] the party to throw money into building [14:33] out sectors where China has an import [14:35] dependence. The effect is China moves [14:39] back to growing on the back of net [14:41] exports. China's domestic economy is [14:43] growing three four percent. So you know [14:45] you're getting one and a half to two [14:47] percentage points of growth from net [14:50] exports. That's a lot of statistics. But [14:52] what it basically means is China's [14:54] exporting a ton of cars. China is [14:56] supplying the entire world with [14:58] batteries. Uh China is now the leading [15:01] exporter of tunnel boring machines. you [15:04] know, you name the the category of [15:07] machinery, China's exports are growing. [15:10] It's no longer just consumer [15:12] electronics. So, China starts getting uh [15:15] growth, big part of it growth from an [15:17] expanding trade surplus. [15:19] Imports stop growing. [15:23] This is, you know, I think one of the [15:24] key factors around the second China [15:26] shock. Normally, you would say imports [15:29] would grow with domestic demand. Chinese [15:32] imports basically aren't growing and in [15:35] key [15:36] >> China is selling ever more to the world [15:37] and then Chinese not buying more from [15:39] the world. [15:40] >> Exactly. And Chinese exports [15:41] particularly in the years right after [15:44] the pandemic after the currencies [15:46] depreciated start growing at two times [15:48] or three times the pace of world trade. [15:51] So China's imports of autos used to be [15:53] about a million cars a year. That's now [15:57] down. It's now under half a million cars [15:59] a year. And over this same period, [16:02] China's exports of cars have gone from [16:05] little under a million to now 10 million [16:10] [snorts] in the space of 5 years. Just a [16:12] stunning shift in a range of industrial [16:16] sectors and heavily industrial sectors [16:18] that compete with Japan and compete with [16:21] Europe. And [snorts] so you sort of see [16:24] bad economic performance in the [16:26] manufacturing heart of Europe in [16:28] particular, a little less so in the US. [16:30] >> So I I think this point about the Europe [16:32] versus US is really interesting. In one [16:34] of the pieces you wrote about this, you [16:36] wrote that the US share of global output [16:38] has been remarkably constant over the [16:40] last 40 years. China's rise has come at [16:43] the expense of the other G7 countries. [16:46] Can you talk about what that looks like? [16:48] I mean, I know you've Let's use maybe [16:50] Germany as an example. [16:53] Germany didn't move as heavily into you [16:56] know kind of software [16:59] platforms they retained a more [17:01] traditional manufacturing sector and [17:05] focused on exports including to China so [17:09] [snorts] you know Germany after the [17:10] global financial crisis is exporting [17:12] close to 3% of its GDP to China and [17:15] manufactured goods that reflects the [17:17] fact that Germany remained a very [17:19] manufacturing centric economy, you know, [17:22] the tunnel boring machines, the high-end [17:26] sedans, the, you know, a lot of fancy [17:30] SUVs, you know, also aircraft. The 320s [17:33] made in Hamburg. All these industrial [17:36] sectors tended to be industrial sectors [17:40] which had a lot of overlap with China. [17:43] Uh, and then you throw in [17:46] uh the fact that the EV industry just [17:49] took off in China. a lot of government [17:51] support and the German companies they [17:54] were made their own efforts to make EVs [17:56] in Europe but those never took off [17:58] globally in the way that China's EV [18:01] industry has and nor are they Costco [18:03] competitive so what you see is German [18:07] exports to China have fallen [snorts] by [18:09] about a percentage point of German GDP [18:12] and what was a strength Germany [18:14] benefited from selling to China right [18:17] after the global financial crisis became [18:18] a weakness I want to focus in on another [18:21] dimension of this that's kind of inside [18:23] the story you're telling which is so [18:26] China shock one it's [18:29] lower on the value chain of manufactured [18:32] goods it's you know uh clothes and [18:35] consumer calculators and and all these [18:37] things that the story that was told was [18:41] we don't want these industries in the [18:43] long run [18:44] what happens in [18:48] the China shock too is that China is [18:51] starting to dominate industries on the [18:54] technological frontier. I mean, you [18:56] mentioned electric vehicles, you [18:58] mentioned batteries, right? You could [18:59] talk about solar panels, we could talk [19:01] about, you know, AI where they're, you [19:03] know, basically neck andneck with us. [19:06] How did they go [19:08] from kind of low to mid-level [19:10] manufacturing to the absolute frontier [19:14] in batteries, solar, etc. [19:17] that quickly [19:20] there was certainly something in the air [19:22] in China around manufacturing. The [19:26] critical mass was built up and the [19:30] foundations were laid and I think it's a [19:33] complicated story. So if you think about [19:35] electric vehicles being the like one of [19:38] the famous uh sectors, what do you need [19:41] to make an electric vehicle? You [19:42] actually need to be able to make a car. [19:43] It is you know a smartphone mixed with a [19:45] car. So, how does China learn how to [19:47] make cars, good cars? Well, a lot of [19:50] foreign companies come in and Ford and [19:52] GM and VW all had to partner with [19:55] generally Chinese state companies to [19:58] produce in China. That was just the rule [20:00] and they didn't have really much of a [20:03] choice because in China had a 25% auto [20:06] tariff like for a very very very long [20:09] time. So in order to, you know, if VW's [20:11] on the other side of the tariff with a [20:13] JV partner, they're going to have a big [20:14] cost advantage. So GM had to also jump [20:18] the tariff. Toyota had to jump the [20:19] tariff. Everybody does the JVS, joint [20:22] ventures. And then you want your part [20:24] suppliers to come and produce high [20:25] quality parts. So they come to China. [20:28] Well, guess what? They probably once [20:30] they learn how to make parts in China, [20:32] they are making parts at a much lower [20:34] cost in China because China's relatively [20:36] cheap. and you're starting to use those [20:39] parts to export to the world and China [20:41] and then local competitors spring up. [20:44] So, China ends up having worldclass [20:46] automotive parts production [20:49] uh well before its companies suddenly [20:53] master EVs [20:56] at a certain point. And China was sort [20:58] of they liked the results of the joint [21:00] venture, but they didn't completely like [21:03] the fact that for a while most of the [21:05] Chinese market was being met by auto [21:07] market was being met by joint venture [21:09] output. the indigenous Chinese-owned [21:11] companies were not all that competitive. [21:14] There was a sense that the auto [21:15] manufacturers who had a JV were fat and [21:17] lazy because they, you know, they were [21:19] too happy producing through their JVS. [21:22] So there was a sense that okay, well [21:24] this sector was still a little too [21:26] foreign dominated and [snorts] then [21:28] there was a correct sense that well we [21:31] should try to take advantage of the [21:32] transition to EVs. [21:35] So China you know makes it a priority. [21:38] When China makes something a priority, [21:40] credit is available to local firms that [21:44] want to enter the EV market. The state [21:46] banking system gets mobilized. Local [21:49] governments start throwing money at it. [21:51] You get a lot of small companies [21:53] springing up. China supports the [21:55] development of an indigenous local [21:57] battery industry. Then, you know, [21:59] Tesla's market entry is also viewed as [22:01] significant. when Tesla enters is not [22:04] required to do a JV, but in order to [22:07] qualify for Shanghai government local [22:09] support has to meet a lot of local [22:11] content requirements. So a supply chain [22:13] that serves Tesla can also serve others. [22:16] [snorts] And when China sets up their [22:19] consumer subsidies in order to qualify [22:22] for that subsidy, [22:24] the car initially had to be made in [22:27] China. The battery had to be made in [22:30] China. that that supported not just the [22:34] Chinese battery industry but [snorts] [22:36] the Chineseowned EV industry. And then [22:40] you get the EVs kind of just taking off. [22:44] And so all of a sudden you just get an [22:46] explosion [22:48] uh which has been built on a a [22:50] foundation from the migration of western [22:54] parts makers, copying, emulation and [22:57] then an awful lot of industrial policy. [23:00] So something people may have heard is [23:02] this argument that China is over [23:04] capacity that that over capacity is a [23:06] crisis. This is sort of related maybe to [23:08] trade imbalances. I don't think that [23:11] makes a lot of intuitive sense like why [23:12] is that a problem if they produce more [23:14] cars than they buy? So how would you [23:17] describe what the over capacity issue [23:21] is? [23:22] uh to me the most coherent way of [23:25] defining the concern about Chinese [23:27] overcapacity [23:29] is a set of sectors where China produces [23:34] more than its domestic market can absorb [23:38] and where globally [23:40] China's adding capacity in a sector that [23:43] in aggregate already has more capacity [23:46] than there is global demand. [snorts] So [23:48] in batteries for example, China's [23:51] ability to make batteries is a a [23:54] multiple of current global demand. Uh so [23:57] there just no scope for anyone else to [23:58] enter the market. Um I think the concern [24:01] in a sector like autos where there is [24:05] over capacity globally, there are more [24:09] auto factories in Europe and in the US [24:13] uh with capacity than there is demand. [24:16] So many factories are operating at low [24:18] levels of capacity or being underused [24:20] and there's overcapacity in China. A lot [24:22] of Chinese factories are not being fully [24:24] used and China is adding to its [24:28] capacity. Uh so China you know has the [24:31] ability to make 55 million cars which is [24:33] you know well over a half close to [24:36] twothirds of world demand. [24:39] uh and there that is growing and so [24:41] China's expansion necessarily means the [24:44] exit of capacity elsewhere when there's [24:46] already spare capacity now you can say [24:48] that's just the operation of a market [24:51] new entrance going to displace old [24:54] capacity but it does feel different uh [24:58] when a closed market suddenly is adding [25:01] capacity to an industrial sector where [25:04] in aggregate there's plenty of capacity [25:08] and they're squeezing margin, squeezing [25:10] production out of the rest of the world. [25:12] >> One thing I've heard people ask is how [25:14] is this different than America? America [25:16] rises as a manufacturing juggernaut from [25:18] being a much more modest economy at you [25:20] know when the country is founded. It [25:22] does over time displace great companies [25:24] from other countries. It does lead to [25:28] competition that you know is harder for [25:30] other countries. But I do think [25:32] economically America's rise is not in [25:35] every respect but broadly considered to [25:37] have been win-win in a lot of ways. So [25:39] what is different about the rise of [25:42] America as a manufacturer? Like the rise [25:44] of Detroit, the rise of all these um [25:46] dimensions from what China is doing? [25:49] >> So our story is much more one of [25:52] industrial investment for our own [25:54] rapidly growing internal market. And we [25:57] only really become a big exporter uh [26:00] after World War II when the world's on [26:02] its back and that doesn't last that [26:04] long. China's industrial rise is much [26:06] more tied to exporting [26:09] uh and it's a much bigger exporter than [26:12] we ever were except for that brief [26:15] period after World War II. So one [26:18] argument here is simply China is [26:20] winning. [26:21] >> They're out competing the world, you [26:24] know, pretty fair and square here. And [26:25] if the world doesn't like it, it needs [26:26] to build better cars, build cheaper [26:28] solar panels, create stronger supply [26:30] chains. All this talk of China shocks [26:33] and a China problem is just kind of a [26:36] way to whine and keep China down. And [26:40] that there's no problem here. Like it [26:41] would be great to have cheap Chinese [26:42] electric vehicles. It's good for the [26:44] world and the climate transition to have [26:45] cheap Chinese solar panels. How do you [26:47] take that argument? [26:50] Look, if your only goal [26:53] is maximizing [26:56] uh benefits to consumers in the short [26:59] run, [27:01] you should certainly import uh Chinese [27:05] EVs, Chinese solar. Uh why not? open [27:10] economics say buy from whoever is [27:13] cheaper and then the competition will [27:15] raise everyone else uh up. [27:19] I think that misses a few things. [27:24] one, it misses the the shock that [27:29] happens to our economies if traditional [27:34] even like traditional but still kind of [27:36] cutting edge sectors disappear. China [27:40] could supply out of capacity that it is [27:44] already built the entire European auto [27:47] market, all of it. 10 million cars, no [27:50] problem. That's just giant compared to [27:53] the global market. [27:55] If an industry suddenly goes away, you [27:58] have all the China shock 1.0 type [28:02] effects. Communities that grew up around [28:05] building cars will just kind of [28:07] disappear. Now, in the China shock 2.0, [28:11] [snorts] you're not going to be moving [28:12] to an export sector because there no [28:14] one's exporting to China. So, you're [28:16] going to move to necessarily a services [28:18] sector. So you're going to become less [28:20] focused on producing traded goods. Now [28:24] you might say, who cares? On the other [28:26] hand, in Europe, an awful lot of [28:29] research and development, an awful lot [28:32] of uh of innovation actually has emerged [28:36] out of their automotive sector. Uh so [28:38] it's not clear these people are going to [28:39] jump to a more innovative sector. They [28:42] may jump to less innovative, less [28:44] well-paid sectors. And in the end, your [28:48] economy is going to going to suffer. And [28:50] then I think there's a sense that people [28:54] have discovered that supply chain [28:57] dependence can be weaponized. Uh China [29:00] dominates magnets, rarers. If you want [29:03] those magnets, you want those rarers, [29:04] you better not tire off China. You [29:06] better not, you better say nice things [29:07] about China. You better not crit, you [29:09] know, you better not do what Japan did [29:10] and uh say you're going to come to [29:12] Taiwan's defense if something were to [29:14] happen. you kind [snorts] of need to uh [29:17] respect China if you want access to [29:19] their supply chain. That's kind of the [29:21] argument that they are making. That kind [29:24] of dependence scares people. [29:27] Finally, I would just say look, if you [29:30] want to emulate China, if you admire [29:31] China, you want to emulate, you like the [29:34] way China's electric vehicle industry [29:36] has developed, it did not develop just [29:39] by throwing the [29:42] uh doors open. It did not develop [29:46] without industrial policy. China's EV [29:48] industry developed behind some of the [29:51] highest tariffs in the world at the [29:52] time, 25%. [29:55] Huge local preference, you know, [29:57] Chinese-made battery, ideally from a [29:59] Chinese company, Chinese-made car, could [30:02] be a Tesla, but it was going to be Tesla [30:03] made in China with 90% Chinese content. [30:07] And then an awful lot of local [30:09] government support. There are stories of [30:11] entire factories being built not by the [30:14] company but by the local government to [30:16] the specifications [30:18] of [30:20] the company. So there's a a story of [30:23] protection and industrial policy that [30:26] leads to the creation of this sector. [30:28] You throw your doors open to China, [30:30] you're going to get the cheap cars, but [30:32] you're not going to get the the EV [30:34] industry. And I think many countries are [30:36] are reluctant to just seed more [30:38] industrial ground to China. So for a [30:41] long time the critique that you heard in [30:44] American trade debate most often of [30:47] China is that they were a currency [30:48] manipulator. Um then you stopped hearing [30:51] that as much. I think your view is that [30:54] that has actually become a bigger part [30:56] of the story again. So let's do this in [30:58] two parts. What is currency [31:00] manipulation? Why does it matter? And [31:03] then what has been the sort of roller [31:05] coaster or where are we on the roller [31:08] coaster of Chinese currency [31:10] manipulation? [31:11] >> Sometimes currency manipulation is just [31:13] like a currency whose value we don't [31:14] like. Um which is I think how the [31:18] president sometimes uses used to use it. [31:19] He hasn't been talking as much about it. [31:21] But the the more accurate way of of [31:25] defining it would be a country that has [31:27] an undervalued currency. You can [31:29] quantify that. And so you look for a [31:32] surplus that's bigger than you would [31:35] expect given the underlying [31:37] characteristics of the economy. Factor [31:39] one. And then factor two is government [31:42] or quasi government intervention in the [31:45] foreign currency market. So it's not [31:46] just uh the outcome of differences in [31:50] monetary policy. There's a government [31:52] with its finger on the FX market buying [31:55] currency to hold the currency down. [31:58] China met both of those definitions [32:01] unambiguously from 2003 to 2012. There [32:07] [snorts] was a political decision not to [32:08] call them a manipulator. Now during the [32:11] latter part of their period, they were [32:12] letting their currency appreciate. So [32:13] they're kind of correcting the [32:15] undervaluation, which is part of the [32:17] reason why they weren't named. China is [32:20] now back through its state banks buying [32:22] a lot of foreign currency in the market. [32:24] 50 billion a month, 600 billion a year. [32:27] So there's a much clearer case that [32:30] China is manipulating now than there was [32:32] in the past. Trump hasn't taken interest [32:36] in this. The Europeans though have and [32:38] so I think the what you're seeing is [32:40] this become shifting from being an [32:42] American debate to being a global [32:43] debate. [32:45] When we were preparing for this [32:47] conversation, something I found myself [32:49] thinking about a lot was the question of [32:52] whether or not it matters if the [32:54] competition is fair. Mhm. [32:56] >> I'd say for a long time the narrative [32:59] that at least we were comfortable with [33:01] in this was a very procedural narrative [33:04] about China betraying the principles of [33:07] free trade. They are a currency [33:08] manipulator who is keeping their [33:10] currency artificially cheap in order to [33:12] make their exports cheaper or you know [33:15] they're doing all these industrial [33:16] subsidies and are you really supposed to [33:17] do those under the World Trade [33:18] Organization? [33:20] And it's a very sort of liberals who [33:23] believe in the system [33:24] >> way of thinking about the problem that [33:26] the problem is China's cheating. [33:30] And I'm not saying cheating can't be a [33:31] problem, but there's clearly quite a few [33:34] places now where China is just winning [33:36] or they've gotten to a place where they [33:37] can win. And so I guess my question is, [33:41] is the problem that some of China's [33:45] advantages are unfair? Right? They're [33:46] back to currency manipulation. and their [33:48] currency seems artificially cheap or is [33:50] just the problem that from a national [33:53] interest perspective, from an [33:54] interdependence and weaponization [33:56] perspective that you know Germany, [33:59] Europe, the United States, [34:02] it would be a mistake to just allow [34:04] their industries to get wiped out. That [34:08] the question here is not an abstract [34:09] commitment to free trade. It is what [34:12] creates a kind of healthy national [34:15] ecosystem. [34:17] Look, I increasingly [34:20] lean towards [34:22] the look, we just want these kinds of [34:25] industries. We don't want full-on [34:28] dependence. Uh we don't have to rely on [34:32] arguments about procedural violation of [34:35] rules, which feel a bit dated in a world [34:39] where we ourselves are clearly not [34:41] following the most basic of the rules. [34:44] And you know, the rules have a lot of [34:45] complexity. You're allowed to subsidize [34:47] under the rules. You're not supposed to [34:49] subsidize if it's to substitute for [34:52] imports. Well, if you subsidize a sector [34:56] and everything in that sector previously [34:57] was imported, are you import [34:59] substituting or you just subsidizing [35:01] that sector? Is a government guided fund [35:04] that puts money into private equity [35:06] funds and venture funds to invest in [35:09] chip manufacturing, is that a subsidy? [35:11] Yes and no. It may not be a subsidy [35:13] under the rule. So the rules themselves [35:15] are contested and not uniformly [35:17] followed. And to some degree [35:21] in certain sectors, I think we care much [35:24] more about outcomes than about the [35:27] rules. That's obvious in sectors uh of [35:30] national security [35:32] uh importance. So a lot of the rarer [35:35] famous sector [snorts] uh have very very [35:38] direct and important military [35:40] applications. we should probably not [35:43] even if China played completely fairly [35:46] want to want to be 100% dependent on [35:48] China uh for the supplies of those uh [35:52] key materials and then you kind of have [35:55] to work further from that where does the [35:57] line come about what do you care about [36:00] where do you just care about the outcome [36:02] and where are you going to rely more on [36:04] arguments around procedural fairness [36:07] uh and then I think on the flip side. [36:11] China itself clearly cared about the [36:13] outcome, not the procedural fairness. [36:18] What would you say the Trump [36:20] administration across its two terms, and [36:22] I realize they've been different in [36:23] important ways, has gotten right about [36:27] China? I mean, if Trump has been [36:28] disruptive on how America has thought [36:30] about anything, it has been China. [36:32] >> And what you think they've gotten wrong [36:34] in their either China orientation or [36:36] their China policy? [36:38] There is something a little strange [36:40] about Trump's first term. Um [36:44] because the first term [36:48] 2017 2018 [36:50] it's like the US political system [36:52] reacted to the China shock 5 to 10 years [36:56] after the first China shock happened. [37:00] So the timing was maybe strange but a a [37:03] lot of the policy direction I would [37:05] agree was more or less right. Um I think [37:09] it was right to broadly say that the WTO [37:15] rules which were thought to be [37:17] constraining China have become a [37:19] constraint on ourselves. China was [37:22] really good at finding ways of achieving [37:24] outcomes [37:25] by living on the edge of the rules. [37:28] I think the targeted [37:31] first wave of tariffs were actually sort [37:34] of in sectors where it was reasonable [37:37] generally speaking to have tariffs [37:39] >> and you're talking here in the first [37:40] term. [37:41] >> First term. Yeah. So like [37:42] >> in the first term the tariffs were [37:44] basically on China. In the second term, [37:46] the tariffs are basically on everyone. [37:48] And I am much more comfortable with [37:50] putting tariffs on China, particularly [37:52] now because, you know, China's economy [37:55] has shifted dramatically and become much [37:58] more export-oriented, much more of a [38:00] competitive threat now than it was then. [38:02] So, I think I think Trump one got that [38:06] bit right. like Bob Lighheiser, the [38:09] United States trade representative under [38:11] in Trump's first term was sort of the [38:13] first step of moving us from the like [38:15] WTO consensus to a world of reciprocal [38:18] interdependence, supply chain [38:20] vulnerability, supply chain warfare, [38:23] concerns about retal like a world where [38:26] everything is using a more militarized [38:28] vocabulary even around economic [38:30] exchange. [38:32] Trump won was still pretty unilateral. [38:34] Uh there's a famous uh story I think in [38:37] another newspaper [38:40] uh where you know uh President Mackel [38:43] asked like well maybe we should [38:45] negotiate something together. when [38:46] they're negotiating phase one the the [38:48] deal and President Trump was like no no [38:51] no no the we've done the tariffs all the [38:54] benefits should go to us this has to [38:56] flow to us and so there was an element [38:59] in the first term of of unilateralism [39:03] which obviously becomes unilateralism on [39:06] steroids over time so maybe before then [39:09] we get to Trump too it's worth talking [39:11] about Biden [39:12] >> because you know there's a lot of [39:14] Democratic criticism of the way Trump [39:16] talks about China to some degree of [39:17] Trump's tariffs on China. But the Biden [39:20] team comes in, they largely keep the [39:23] tariffs, in some cases, expand them into [39:26] new areas. They begin doing more to [39:30] limit the export of what they consider [39:32] to be strategically important [39:33] technologies like advanced chips to [39:35] China. Um they put on higher tariffs on [39:38] on EVs and they do a lot of industrial [39:40] policy that actually looks sort of like [39:42] the way you're describing Chinese [39:44] industrial policy. So the inflation [39:45] reduction act is trying to build a [39:47] domestic, you know, supply chain for [39:50] things like solar panels and wind [39:52] turbines. And now they're more okay with [39:55] it being, you know, in friendly [39:57] countries, too. But there's a lot of [39:59] bi-American [40:01] uh standards on all this and they begin [40:05] talking a lot in terms of strategic [40:06] technological competition. Uh AI is a [40:09] big thing for them in the AI competition [40:10] with China. How do you think about the [40:12] way the Biden administration [40:16] approached this and both kind of tweaked [40:18] but didn't upend like the Trump one [40:21] approach? [40:23] It probably in my view at least didn't [40:26] go far enough. Um [snorts] [40:29] it wasn't just clean energy although [40:31] that was certainly a big focus. It also [40:34] included semiconductors [40:36] >> and in semiconductors at the time the [40:38] concern was dependence on Taiwan which [40:40] was vulnerable to pressure from China. [40:44] Certainly vulnerable you know put the US [40:46] in a difficult position if China were [40:48] ever to put an embargo or attack Taiwan. [40:52] And at a certain point, the US just made [40:54] a decision uh that we did not want China [40:58] to have access to the world's best. [41:01] Certainly not the ability to make the [41:03] world's best chips. Too many risk [41:06] associated with that. I think that was [41:09] the right decision, but it unambiguously [41:11] was viewed by China as a directly [41:13] hostile act. And I think we if someone [41:15] had done that to us, we would have [41:16] viewed it as a directly hostile act. So [41:20] it put us into a world unambiguous world [41:22] of rivalry and competition and in a [41:25] position where we don't there is no way [41:28] China is not going to try to engineer us [41:30] out of their chip supply chains. That's [41:32] become a national priority and so we are [41:35] and we are trying to reduce our [41:36] vulnerabilities to Chinese economic [41:38] coercion at the same time. Uh but it [41:41] didn't really go far enough in [41:45] uh critical minerals rarers. I mean [41:49] there was plenty of talk about it but [41:51] there wasn't enough action not enough on [41:54] um active pharmaceutical ingredients [41:56] where either the medicine or the key [41:59] chemical precursors are almost 100% [42:01] sourced from China. So I think you know [42:04] it was a step in a necessary direction. [42:07] It was controversial because industrial [42:08] strategy industrial policy you know for [42:10] a long time the thought was that was [42:13] something other countries did. wasn't [42:14] something that America did and it wasn't [42:16] something we're necessarily very good [42:18] at. And in some cases [42:21] like uh rare earths and the magnets like [42:26] active ingredients, it means finding [42:30] ways to incentivize production in [42:33] sectors where you know you can't compete [42:35] with China on cost. [42:37] >> So that then brings us to Trump too. [42:39] >> Mhm. And so how would you rate what they [42:43] have done and where it has hit the right [42:45] balance and where it's been off? [42:49] Um so in general uh I have uh noted on [42:53] many times that I like Bob Lighheiser's [42:56] trade policy i.e. Trump's first term [42:59] better than I like Donald Trump's trade [43:01] policy i.e. Trump's second term. [43:04] Lighheiser was careful to only threaten [43:08] things that the US economy could [43:10] sustain. So, you know, the tariff level [43:13] was set at 25%. Which, yeah, people [43:15] didn't like paying it, but you could [43:16] afford to pay it. He didn't cover all of [43:20] trade. So, there was always a little [43:21] more trade you could bring into that [43:23] tariff. Trump had a theory of the case [43:26] in his second term, which worked for [43:29] most of the world, but didn't work for [43:30] China. And the theory of the case is, [43:32] well, trade's rigged against us. We need [43:35] to raise our tariffs, and you need to [43:37] lower your tariffs, lower your barriers [43:39] to US exports to put trade on a more [43:42] fair footing. You shouldn't, in other [43:44] words, retaliate for our tariffs. China [43:47] retaliated. China said, "This is [43:48] coercive." Plus, China knew they were [43:50] going to be in the crosshairs. You know, [43:51] she did a good job of getting ready. [43:53] He'd spent four years plotting this out. [43:55] So, China retaliates. We counter [43:58] retaliate. China retaliates some more. [44:00] we retaliate again and we push tariffs [44:02] up to 145%. [44:04] You might think that gives us more [44:06] leverage. We've completely cut off [44:07] trade. It turned out to be the opposite. [44:10] Our economy couldn't sustain 145% [44:13] tariffs on pretty much everything coming [44:15] from China. So the administration was in [44:18] a position where they needed to [44:20] negotiate a roll back in the tariffs. [44:22] You know, there's a rare earth component [44:24] as well. But I [44:25] >> China where China was holding back rare [44:27] earths which would our [44:28] manufacturing. [44:29] >> Yeah. So that was real. [44:30] >> Mhm. [44:31] >> But it's I think even if China had not [44:33] done that, even without the supply chain [44:36] restrictions, the administration knew it [44:38] needed to roll back the 145% tariffs. [44:41] You know, the the the example that uh I [44:44] like to give is that in the summer of [44:47] Trump's first year with 100ish plus [44:50] tariffs, all the retailers who import [44:53] artificial Christmas trees, which like [44:55] all come from China. Think Christmas [44:57] tree ornaments. think holidays. Well, [45:00] those are are things that are actually [45:01] typically imported during the summer. [45:04] Now, if you're paying 150% tariff, [45:06] you're going to have to triple whatever [45:08] your retail price or, you know, [45:10] something crazy. And the Christmas tree [45:12] importers weren't sure because they're [45:14] building up inventory ahead of a future [45:16] sale that American consumers would be [45:18] willing to pay that high a price. So, [45:20] they just stopped importing. [45:23] And you know when there's a hole and [45:25] there are other places where companies [45:26] were having to pay that price for a part [45:29] and that would render their ability to [45:31] export utterly uncompetitive. So it was [45:33] just it was too broad, too high, too [45:36] fast. It was disrupting the US economy. [45:39] That was a mistake. And I think [45:40] Lighheiser in his first term got it uh [45:44] closer to right. Don't don't don't ever [45:47] escalate to the point where you're put [45:50] on tariffs that you aren't willing to [45:52] maintain. [45:53] the other side will realize that you [45:56] would are looking for a face- saving way [45:57] to pull things back. That was I would [45:59] say mistake uh one. Mistake two was the [46:04] breadth of the tariffs. [46:07] not targeted [46:09] reasonably by countries. Just everyone [46:12] got hit with the liberation day tariffs [46:15] in some cases very very very high [46:17] tariffs [46:19] that alienated a bunch of countries that [46:22] themselves were worried about trade with [46:24] China. So it kind of took away the [46:26] possibility of building a broader [46:28] coalition against China. So that's first [46:32] problem with these very very broad [46:33] tariffs. Second problem with the very [46:35] very broad tariffs was that they ended [46:37] up being done in kind of irrational to [46:40] my mind ways. We were tariffing at [46:43] really high levels Canadian aluminum. [46:46] All right. Canadian aluminum is, you [46:48] know, not that this administration [46:50] cares, but it's made in a kind of [46:51] greenway. H trapped hydro power in [46:53] Quebec. [46:55] It has been part of our aluminum [46:57] industry since World War II. You know [46:59] when the bombers were built with [47:01] Canadian aluminum, there is no national [47:03] security threat. It is essential to our [47:06] market. There's the primary aluminum [47:08] market doesn't clear in the US without [47:10] Canadian imports, which meant that just [47:11] prices shot up. And then the final [47:13] problem was like, hey, aluminum is [47:16] electricity distilled, incredibly uh [47:20] energy intensive and electricity [47:21] intensive. So it is competing with data [47:23] centers uh for power. And so even with [47:27] the really high tariffs, we weren't [47:29] investing more in new aluminum. So it [47:32] was pure self harm fully on board with [47:35] limiting imports of aluminum from China, [47:38] having a more self-contained North [47:40] American market. But this was kind of [47:42] silly. The getting into a trade war with [47:45] Brazil when Brazil is one of the few [47:46] countries where we have a trade surplus [47:48] didn't make sense in Trump's own terms. [47:51] And then we ended up weirdly because you [47:54] know electronics got excluded, chips got [47:57] excluded because you know you can't [47:59] penalize data center constructions right [48:00] or wrong. The richest companies [48:02] basically found ways out. So the highest [48:05] tariffs at the end of the day were on [48:07] low-end household goods coming from [48:08] Southeast Asia. So it became sort of [48:10] more of a Walmart tariff and not a [48:12] strategic tariff. [48:14] I think all these were just kind of [48:16] mistakes of design. We ended up with a [48:18] tariff policy that wasn't in the second [48:20] year of the second term not at all [48:22] focused on China. China basically they [48:24] got the same deal as everyone else which [48:26] was a huge win for them. Most important [48:28] development is China showed it can punch [48:30] back. Yeah. People worried for years [48:33] about them unwinding purchases of US [48:34] treasuries. They didn't do that. I mean [48:36] the sense that if this escalated they [48:38] had more dependencies that they could [48:41] weaponize I think has been very salient. [48:44] There are multiple [48:46] places where China has leverage. [48:49] Ironically, the Treasury market turned [48:51] out not to be one of them. It's not just [48:54] that they didn't threaten it. It's it's [48:57] been one of the harder places to [48:59] weaponize partially because China isn't [49:01] buying. I mean, some people think [49:02] they're selling. That's not true. They [49:04] just have moved to other custodians. [49:06] Gets real technical. Uh but at the end [49:08] of the day, we actually have a counter. [49:11] If China sells treasuries, the Fed can [49:13] always buy more treasuries QE than China [49:16] can sell. We showed that in 2020. We [49:18] actually showed that in ' 08 and09 when [49:20] the China was selling agencies, Freddy [49:23] Franny mortgage back securities and the [49:26] Fed started buying them. It's not maybe [49:29] ideal, but we have an alternative for [49:32] the rare earth magnets that go into [49:34] weapon systems. Unless we have [49:37] stockpiles, [49:39] we don't have alternatives. So, it's [49:41] actually a more potent form of leverage. [49:43] >> One of the charts as I was preparing for [49:45] this that struck me is that if you look [49:46] at America's trade deficit, the world [49:49] doesn't look that different than at the [49:51] beginning of Trump's term. [49:52] >> Mhm. [49:53] >> So, in terms of what we've been trying [49:56] to achieve with our various trade wars, [49:58] our trade policies, [50:00] have we achieved anything? I mean, in [50:02] Trump's own sort of conception of the [50:04] world, manufacturing, trade imbalances, [50:09] is there progress that they can point [50:10] to? [50:12] >> Um, not much. [snorts] [50:14] We haven't grown our exports to China [50:17] with the deals. Our exports are actually [50:20] down relative to where they were. [50:21] Certainly down as a share of US GDP from [50:24] before the trade war. We have not [50:27] stopped Chinese industrial policy. We [50:29] have not generated a structural change [50:30] in China's economy. We haven't changed [50:33] the fact that China has, you know, [50:35] agricultural hostages that it takes [50:38] whenever we threaten. You know, you want [50:39] to sell soybeans to us, you want to sell [50:41] beef to us, you got to be, you know, not [50:43] tariff us. We we have leverage over you. [50:46] We haven't changed that. Uh and we [50:48] haven't changed China's broad [50:50] trajectory. China is a bigger exporter [50:52] globally, runs a bigger global trade, [50:55] not not just by small amounts, by [50:57] enormous amounts. [50:59] uh a more unbalanced economy now than it [51:02] was when the trade war got started. We [51:05] haven't changed our trade deficit in [51:07] aggregate. Uh we have shifted final [51:10] assembly for the US market away from [51:13] China to Vietnam to Taiwan to Mexico but [51:17] the components are still coming from [51:19] China. Uh so I think you know the main [51:22] thing you can say that Trump's second [51:24] term trade policy you know unambiguously [51:26] has achieved is it's alienated a lot of [51:29] allies because it's not at all been [51:30] targeted. Uh [snorts] [51:32] it alienated the courts uh because [51:37] not a lot of thought was put into [51:39] conforming to reasonable expectations of [51:42] what the law allowed. Uh and it [51:44] generated a bit of revenue. And there's [51:46] an oddness to the first part about [51:48] allies to me because given everything [51:50] that we were talking about with the [51:52] second China shock being very focused on [51:55] Europe uh among others, you really could [51:58] have imagined something that was more of [52:01] a like a united set of goals between us [52:04] and Europe. [52:06] >> Um we all want to protect our auto [52:07] industries. We all don't want to be [52:09] dependent on you know Chinese chips or [52:12] China taking over Taiwan and then you [52:14] know we have a huge chip problem. [52:16] I guess a question is what what do you [52:18] think our goals should be here right [52:21] what do you think the set of outcomes we [52:23] are trying to generate should be and can [52:26] they be generated [52:28] or is there an inevitability to all this [52:32] given China's size given its [52:34] manufacturing capacity people sometimes [52:36] talk about where we're going as as [52:38] having an almost a yeah an inevitability [52:40] to it I'm curious if you buy that [52:44] >> um I do not believe in the [52:46] inevitability. [52:48] Um but I do [clears throat] believe [52:51] uh the changes to avoid [52:54] growing [snorts] [52:55] dependence on China for inputs of [52:59] manufacturers and final goods are quite [53:02] uh quite significant. [53:04] Look uh I was I was part of the Biden [53:07] administration at the beginning. I'm I'm [53:09] implicated in some of those decisions. [53:11] And in the early days of the Biden [53:14] administration, the overarching goal of [53:16] the trade policy was to avoid a trade [53:20] war with Europe, which was sort of where [53:22] Trump was heading had he won re-election [53:25] that year, and convince Europe that [53:30] whatever our traditional sources of [53:32] friction, we had a common interest in [53:34] thinking through how to handle China and [53:37] taking real action against China. you [53:39] know, make, you know, bring our policies [53:42] into harmony, but by bringing European [53:45] tariffs closer to US tariffs, not by [53:48] bringing US tariffs on China down. [53:51] At the time, the Europeans were not [53:54] interested. Europe said, "The problem is [53:56] that you guys aren't following the WTO [53:57] rules. The rules are important. You got [53:59] to go back to the rules." [54:01] >> Nothing Europe loves like a procedural [54:03] argument. [54:03] >> H people love procedural. We We actually [54:05] love procedural arguments, too. But the [54:07] Europeans loved the notion that they [54:12] were the rule abiding, rule creating, [54:15] order enforcing [54:18] uh power in the system. [54:21] That has shifted and I think the Trump [54:24] administration missed the shift. Didn't [54:28] explore the possibility of shift nor was [54:30] it interested because you know I think [54:32] Trump came in and he said many times [54:34] that Europe's almost as bad as China. [54:36] Allies, not allies, not how he thinks of [54:38] the world. She great leader. We should [54:41] be doing deals with shei. Bunch of [54:43] European leaders not great leaders. You [54:46] know, they, you know, they they they've [54:48] allowed themselves to have their hands [54:50] tied by the European Union. Real leaders [54:53] like she, like Trump, don't allow their [54:56] hands to be tied by super national [54:58] institutions. Just kind of disdain. And [55:01] so he missed an opportunity to explore [55:04] if Europe was willing to join the US in [55:09] some kind of economic alliance. [55:12] North America plus Europe and North [55:15] Atlantic alliance. you know, they [55:17] wouldn't it wouldn't be called against [55:19] China, but it would effectively be an [55:22] alliance to create a bigger market [55:25] outside of China with a some common [55:29] barriers to China that would, you know, [55:32] have allied scale would be big enough [55:35] that it would easily support a [55:38] competitive EV industry that didn't rely [55:40] on Chinese parts. uh a competitive [55:44] magnets industry that didn't rely on [55:46] China so forth and so on. So I think you [55:48] know where should we have gone? I think [55:50] we should have moved in that direction. [55:53] There are ways to do better coordination [55:55] of industrial policies too. But [55:57] basically like extend our security [55:59] alliances into economic alliances. [56:02] Uh try to compete with China. Don't give [56:04] up. Don't accept that every EV in the [56:08] world is going to be made in China which [56:09] is a realistic outcome right now. [56:12] uh with fully you know China can expand [56:15] its EV production capacity and has [56:18] enough spare capacity to meet all global [56:20] demand. So the entire EV industry could [56:24] be Chinese production. You know China's [56:27] supplying 10% of the European auto [56:29] market. There's a future where it could [56:30] supply 70. If that's not an outcome you [56:33] think is acceptable, you kind of have to [56:35] work backwards from that because that is [56:37] now a realistic possibility. What do you [56:40] think about the notion of a China shock [56:42] 3 that you're beginning to see on the [56:44] horizon which is we've been talking [56:45] about how China shock one was kind of [56:47] low-end middle-end manufacturing number [56:50] two has been high-end batteries and cars [56:52] and things like that but the thing that [56:55] America has had that has insulated it [56:57] that has made our stock market such a [56:59] booming part of the global financial [57:01] system is as we talked about sort of [57:03] software finance [57:06] and more recently of course AI Mhm. [57:09] >> And we are still have real leadership in [57:11] AI, but it's amazing how strong the [57:15] Chinese open- source models are, how [57:18] close they are. They're a lot cheaper. [57:19] They're cheaper to run. And China is [57:21] able to I mean, China does not have the [57:24] chips we have, but they are able to pump [57:28] energy into it. They're not going to [57:30] have the data center slowdown that we're [57:32] going to have, right? You're not going [57:33] to have, you know, local data center [57:35] protests that are stopping China from [57:36] building enough data centers. So it's [57:39] not crazy given how much more difficult [57:41] it is to create the infrastructure for [57:43] AI here that China will pull ahead in [57:45] the coming years. [57:48] >> So I do think that's that is a a [57:52] possibility [57:54] if you think of China shock 3.0 do as [57:56] sort of services but services not as in [58:00] haircuts but as you know software AI the [58:04] models uh [58:07] there is a world [58:10] uh where [58:12] China and the US compete directly in a [58:15] way that they didn't compete in the big [58:17] platforms you know [58:20] China protected its search market [58:22] because it wanted political control but [58:24] that sort of meant that China's search [58:26] engines never really that competitive [58:28] globally which left the lion share of [58:30] the globe you know using US platforms [58:33] using US software using US cloud [58:36] [snorts] huge businesses incredibly [58:38] profitable businesses the businesses [58:41] that have propelled the US stock market [58:43] to a stratospheric heights that have [58:45] made you know US stocks twothirds of the [58:47] global stock market index so an [58:50] enormously important part of the US [58:51] economy and an even more important part [58:54] of the stock market. [58:56] Look, AI is up for grabs. We don't know [58:58] if the US models will uh that people are [59:01] willing to pay as much as the people who [59:03] are spending tons of money to build all [59:05] the data centers and buy all the NVIDIA [59:06] chips are willing to invest. That's an [59:08] open question. It is quite possible that [59:12] uh it will prove to be a competitive [59:14] market and no one will make the super [59:15] profits that sort of Google, Alphabet, [59:19] Microsoft, Apple generated out of the [59:21] digital world we now live in. and that [59:24] AI will either be dominated by China or [59:27] will prove to be competitive and there [59:29] won't be the kind of profits that people [59:30] expect and so it will be disruptive and [59:34] disruptive to the parts of the US [59:36] economy that have generated the most [59:38] high-end jobs and certainly the most [59:40] profits. So to assume that we're going [59:42] to have uh a lead in high-end digital [59:45] services forever and that China is not [59:47] going to compete, I think that's I [59:49] wouldn't agree with that. is what we [59:51] want or what we should want [59:54] for China to be exporting less for them [59:57] to have less of an over capacity as it [59:59] gets called [60:00] >> or is what we want for China to be more [60:02] open to imports right this sort of bit [60:06] around the fight over whether or not we [60:08] should export chips to China the B [60:10] administration really clamped down on [60:11] that Trump opened up a bit uh somewhat [60:14] under the push from Jensen Wong of of [60:16] Nvidia [60:18] >> and Nvidia's argument and the argument [60:19] that I heard from Trump people around [60:20] this was look we actually want China [60:24] somewhat dependent on Nvidia's chipset. [60:26] We have all these dependencies on China. [60:27] The idea they're somewhat dependent on [60:29] us is not a bad thing. [60:31] Now even once we sort of open that back [60:33] up, China's not been excited about [60:35] Nvidia chips. They have, you know, made [60:37] strides on their own. And yes, they [60:39] would like the very best stuff and [60:40] there's some things we're still holding [60:42] back. But I felt like in there you saw [60:44] this kind of emergent fight which is do [60:48] we want to be more separated or actually [60:52] is a problem that you know there's been [60:55] more openness in one direction than the [60:56] other. It's like that's the the thing we [60:59] should be targeting. How do you think [61:00] about that? [61:02] I have complex, conflicted and probably [61:07] incoherent thoughts. But the goal from [61:11] China and I think it's independent [61:12] whether you give them this chip or that [61:14] chip today. They may or may not achieve [61:16] it. The goal is to replicate the full [61:18] chip ecosystem to be able to make the [61:20] machines as well as make the chips and [61:22] be at the frontier. [snorts] So the risk [61:25] is that you would become dependent over [61:27] time on both Chinese models and then [61:30] then the Chinese ships will displace [61:32] their dependence on you and I think [61:35] that's in that sector that's a a real [61:38] risk set of risk. So I I'd be a bit [61:40] cautious there. [61:43] I think conceptually [61:47] mutual interdependence, reciprocal [61:50] vulnerabilities, [61:52] control over offsetting choke points is [61:56] a way that competing [61:59] great powers, great military powers now, [62:02] great economic powers that are rivals, [62:06] not allies, can coexist. you cannot [62:10] supply chain restrict me because I can [62:12] supply chain restrict you and the we can [62:15] deter each other. You you apply [62:17] strategic and military concepts of round [62:19] deterrence. So it's it's a vision that [62:21] allows trade but it's kind of hostile [62:23] trade so to speak where you're always [62:25] worried uh that you're you're that [62:29] interdependence is shifting towards [62:30] dependence particularly because she has [62:32] said today's goal is is dependence. He [62:35] wants the world to rely on Chinese [62:36] supply chains. Arguably, that's one [62:39] theory he has about how he could achieve [62:40] victory in Taiwan without actually [62:43] fighting. Everyone needs us so much they [62:45] can't can't react, can't respond. [62:49] The other vision is a vision where okay [62:53] either fully [62:55] uh split off into rival blocks. China [62:59] has its EVA ecosystem. the US, US and [63:02] Europe. Our block has its own EV [63:04] ecosystem, own battery supply chains, [63:07] own uh battery chemical supply chains, [63:10] own EV companies, own EV designs. China [63:13] has its there's a vast part of the world [63:16] which gets to choose, but they're rival [63:19] ecosystems that don't have a ton of of [63:22] interdependence. I think you can hive [63:25] off some of the strategic sectors and do [63:27] that trade with allies [63:29] uh and uh maintain some trade with [63:33] China. I mean, we're not going to tell [63:34] our farmers they can't sell to China. [63:36] We're just not. Uh and there are certain [63:38] products which I think we should be fine [63:40] from China, but defining the lines is [63:43] going to is is hard. On top of that, [63:46] China cannot continue to rely on the [63:50] world's demand to make up for the fact [63:52] that it doesn't generate its own demand. [63:54] There's a macroeconomic component. [63:56] China's economy, the export side of the [63:59] economy has done great. No question. [64:01] Booming, growing faster than global [64:03] trade. The domestic side of the economy, [64:06] people doubt whether the domestic side [64:08] of the Chinese economy is really growing [64:09] faster than the domestic side of the US [64:11] economy. It is not doing great. There's [64:13] a lot of unemployment. There's [64:15] deflation. There's real internal [64:18] problems. [64:18] >> An aging population. [64:20] >> We have an aging population, too. But [64:21] China's aging a little faster. [64:22] >> Yeah. [64:23] >> And now there's a looming problem of [64:25] overinvestment, not just in property, [64:26] but in manufacturing capacity. Too many [64:28] auto plants, not enough demand, internal [64:31] demand is down 20% for Chinese cars. So, [64:34] they're forced to export because their [64:35] own market is is shrinking. That's [64:37] that's a real problem because China's [64:41] internal economy is incredibly [64:45] unbalanced. Like it's second biggest [64:46] world economy in the world, but with the [64:49] biggest domestic distortions across the [64:52] board, the most unbalanced pattern of [64:54] savings [snorts] and investment. There [64:56] will need to come a time when China [64:58] doesn't have to have an expanding trade [65:00] surplus to grow. So, I do think that [65:03] that is a problem. And of course, it's [65:05] it's tied on our side to our fiscal [65:07] situation. You know, we're we're going [65:09] to borrow insane amounts to build AI and [65:11] we're also borrowing 6% of GDP to keep [65:14] our consumer engine going. [snorts] [65:15] There there probably eventually are [65:17] limits on our side, too. [65:18] >> I think that's a good place to end. [65:20] Always our final question. What are [65:21] three books you'd recommend to the [65:22] audience? [65:24] >> Well, the the the one book that most uh [65:29] shaped my own understanding of China is [65:32] an old book actually. Uh it's by a [65:34] friend of mine, Richard McGregor, [65:36] uh longtime [65:39] [snorts] Beijing correspondent for the [65:40] Financial Times, who wrote a book called [65:42] The Party. And he really showed that you [65:45] can't understand modern China without [65:47] understanding the modern Chinese [65:48] Communist Party. And you know, vivid [65:51] scenes with like red telephones where [65:53] you know, your special party line where [65:55] you get the instructions if you're the [65:57] CEO of a big company about what you [65:59] should be doing. [66:01] Second book is is another old book [66:03] actually. Um [66:06] uh it's called the volatility machine by [66:08] Michael Pettis. It is it is a thin book. [66:12] It is not an easy read. Uh it is [66:15] actually not even about China even [66:17] though Pettis is now very well known for [66:19] his work on China. It's about how to [66:21] think about financial vulnerabilities in [66:24] the global economy and in emerging [66:26] economies in particular. I [snorts] [66:28] think it's a modern classic and it's [66:31] really important for understanding I [66:36] think not just how emerging markets can [66:38] get into trouble but somehow some of the [66:40] financial structures that are now being [66:41] used to finance the AI buildout could [66:44] get in trouble that kind of that kind of [66:46] framework. And the third book, a book [66:49] that exceeded my expectations is, you [66:51] know, how to win a trade war war by Chad [66:53] Bound and Somaya Kanes. [66:56] Whatever side of the trade debate you're [66:58] on, you're going to learn something. It [67:00] is not a polymic. It is, I think, the [67:03] best guide to a world where people are [67:08] thinking about trade in terms of [67:09] vulnerabilities, not just in terms of [67:12] opportunities. [67:13] >> Brad Settzer, thank you very much. [67:15] >> Uh, thanks Ezra. It's been a pleasure to [67:17] be on this show. [67:21] [music] [67:29] >> [music]