A16z Sees Private Capital Fueling US Factory and Arms Rebuild

Why America Needs to Start Building Again — a16z

a16z

Defense demand acts as an early capex subsidy that absorbs first-of-a-kind production costs and seeds components for a broader commercial robotics and manufacturing boom.

AI-assisted summary of Why America Needs to Start Building Again — original source. Check the original for full context.

Source published:

Key ideas

  • Private capital is fundamentally altering American hardware manufacturing by funding physical infrastructure, tooling, and neo-factories before government procurement contracts are guaranteed. (17:54)
  • Risk capital into the defense industrial base in the first half of 2026 exceeded the total invested across all of 2025, supported by broad participation from venture funds, private equity, and Wall Street institutions. (42:10)
  • Defense demand acts as an early capital expenditure subsidizer for dual-use components like actuators, brushless motors, and printed circuit boards, driving down costs for broader commercial robotics and consumer electronics. (6:51)
  • A new 'manufacturing middle' layer is displacing legacy transactional tier-suppliers by co-engineering modernized, software-enabled subcomponents directly with next-generation prime contractors. (33:50)

Detailed notes

## Background Published on YouTube by a16z on October 29, 2026, this episode features Andreessen Horowitz partners Erin Price-Wright and Connor Love joining Elena Burger to discuss the release of the AD50 list. According to the page description, the discussion explores how America's defense, energy, manufacturing, and robotics booms are converging into a unified revival of the domestic industrial base, fueled by private capital taking big bets ahead of government procurement.

## TL;DR The conversation outlines how years of deindustrialization created acute national security risks, driving a modern renaissance across inputs, manufacturing factories, and end systems. The speakers examine how initial defense requirements act as a capital expenditure subsidy for broader dual-use commercial applications like robotics, while a new cohort of founders applies the vertically integrated playbooks of SpaceX, Tesla, and Anduril to legacy industries like copper mining and power transmission. They highlight how AI-assisted tooling is altering high-mix factory economics, and argue that America's decentralized, liquid private capital markets provide an asymmetric geopolitical advantage over top-down state subsidies. Ultimately, they conclude that sustaining this momentum requires national regulatory will and authentic economic alignment with communities in Middle America where physical infrastructure actually lives.

## Atmosphere & style The discussion carries a gritty, roll-up-your-sleeves enthusiasm that deliberately contrasts Silicon Valley software culture with the unforgiving realities of heavy industry, marked by banter about steel-toed boots, bench presses, and giant American flags hanging over factory floors. The host and guests speak with the crisp, analytical confidence of seasoned venture investors, balancing sober assessments of geopolitical vulnerability and China's energy dominance with infectious optimism for founder-led execution. Listening to the dialogue feels like an insider briefing on national defense re-industrialization, punctuated by frank military anecdotes, operational case studies, and a shared mission-driven seriousness.

## Bulletin - [17:54](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1074s) Private capital is fundamentally altering American hardware manufacturing by funding physical infrastructure, tooling, and neo-factories before government procurement contracts are guaranteed. - [42:10](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2530s) Risk capital into the defense industrial base in the first half of 2026 exceeded the total invested across all of 2025, supported by broad participation from venture funds, private equity, and Wall Street institutions. - [06:51](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=411s) Defense demand acts as an early capital expenditure subsidizer for dual-use components like actuators, brushless motors, and printed circuit boards, driving down costs for broader commercial robotics and consumer electronics. - [33:50](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2030s) A new 'manufacturing middle' layer is displacing legacy transactional tier-suppliers by co-engineering modernized, software-enabled subcomponents directly with next-generation prime contractors.

## Key takeaways - [00:51](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=51s) A nation cannot maintain a credible defense industrial base without a robust, thriving domestic commercial industrial base. - [00:51](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=51s) The AD50 framework segments modern physical industry into three interdependent layers: raw inputs, modern factories, and finished integrated systems. - [05:09](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=309s) Defense contracts serve as critical early process and capex subsidies that absorb the zero-to-one production friction for high-tolerance hardware. - [05:09](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=309s) Consumer markets enforce relentless pressure on price and efficiency once baseline manufacturing know-how is established through military procurement. - [05:09](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=309s) DJI's evolution from hobbyist drones to dominant robotics supplier demonstrates how high-precision actuator and motor fabrication compounds across sectors. - [08:38](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=518s) Early vertical integration becomes necessary when a founder discovers that the underlying domestic supplier base cannot support an advanced end system. - [10:16](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=616s) Modern heavy industry software companies like Mariana Minerals and Hadrian succeed by acquiring physical assets or overhauling dozens of operational nodes rather than offering single software fixes. - [13:32](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=812s) While AI cannot yet perform manual physical labor, line workers use LLMs to rapidly reconfigure high-mix, low-volume manufacturing lines without third-party integrators. - [16:58](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1018s) Venture capital allows neo-primes like Castelion to bypass the broken legacy defense procurement cycle by designing and building operational hardware ahead of formal requirements. - [22:07](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1327s) Top-tier founder talent and capital allocators are gravitating toward physical infrastructure because hardware companies once again dominate the ranks of the world's most valuable enterprises. - [28:39](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1719s) Scaling production volume for defense hardware directly establishes the domestic supply chain necessary to power mass-market commercial robotics. - [33:50](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2030s) Next-generation tier suppliers are evolving from passive print-to-part machine shops into co-engineering partners that retain component-level intellectual property. - [35:26](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2126s) The transition to software-native power electronics and battery storage across the electrical grid requires a ground-up redesign of the entire component supply chain. - [37:26](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2246s) Spinoff founders from SpaceX and Anduril apply the 'responsible engineer' doctrine and target specific factory-floor bottlenecks they experienced firsthand. - [41:06](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2466s) America's asymmetric geopolitical advantage over state-directed industrial models lies in deep, flexible capital markets that naturally back founder execution and technological milestones. - [44:23](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2663s) The divergence between US and Chinese energy growth reflects domestic political will and permitting speed rather than a deficit in engineering or technological innovation. - [46:34](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2794s) Unlike the software boom that concentrated wealth in coastal hubs, reviving physical manufacturing directly distributes jobs, capital, and economic opportunity across Middle America.

## Detailed walkthrough ### [00:00](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=0s) Teaser: Turning Wrenches and the New Industrial Reality

The conversation opens with a brisk summary of what is at stake in rebuilding physical manufacturing. Modern conflicts have forced an urgent reckoning with supply chains, making it plain that national security cannot exist in a vacuum disconnected from domestic production. While artificial intelligence dominates headlines, software alone cannot bridge physical gaps: “AI will be a phenomenal tool that can be used in the physical world. The reality is AI cannot turn a wrench yet.”

Furthermore, value creation globally is heavily tilted toward the physical layer—the majority of the top ten most valuable companies in the world are hardware companies. Visiting the cutting edge of modern production facilities like Mariana Minerals, Hadrian, or Castillion reveals an environment far removed from sterile office desks: working with steel-toed boots in the dirt, surrounded by intense operational friction, where mission-driven founders and operators produce results out of sheer grit. Looming over this landscape is the stark geopolitical comparison between US power generation and China’s massive additions of new energy capacity—a divide driven not by lack of technology, but by execution and willingness to build.

[00:51](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=51s) No Defense Base Without an Industrial Base

Elena Burger welcomes Andreessen Horowitz partners Erin Price-Wright and Connor Love to unpack the core thesis behind the AD50 list. Erin highlights the central premise that has crystallized over the past year amid rising global conflicts: decades of off-shoring and deindustrialization have caught up with the West, resulting in shortages that directly jeopardize American service members and international allies. As Erin puts it: “We’ve been saying for a while, you don't have a defense industrial base without an industrial base. And I think this year really put that into perspective.” Decades of letting domestic factories atrophy have shown that empty production lines translate directly into tactical vulnerabilities on the frontline.

Connor explains that this realization is not happening in isolation; rather, it represents the confluence of three distinct forces: 1. Escalating geopolitical friction and hot conflict around the world. 2. The evolution of private capital markets increasingly willing to underwrite massive industrial infrastructure. 3. A rising cohort of technical, ambitious founders raising their hands to tackle unglamorous, mission-critical physical problems instead of pure software apps.

```mermaid flowchart LR accTitle: AD50 Three Pillars of the Industrial Stack accDescr: A flow illustrating the end-to-end framework of the American dynamism stack from inputs to factories to systems.

subgraph Inputs["1. Upstream Inputs"] A["Critical Minerals & Energy<br/>(Extracted from the ground)"] end

subgraph Manufacturing["2. Factories & Middle Layer"] B["Neo-factories & Machine Shops<br/>(Components, machining, PCBs)"] end

subgraph EndUse["3. Finished Systems"] C["End Systems<br/>(Drones, defense hardware, consumer tech)"] end

A --> B B --> C ```

To capture this full continuum, Connor notes that this year’s AD50 structure breaks down the ecosystem into three interdependent layers rather than treating companies as isolated products: - **Inputs**: Upstream raw materials, critical minerals, and primary energy drawn directly from the ground. - **Factories**: The modern machine shops, fabs, and neo-factories that transform feedstocks into precision parts and assemblies. - **Systems**: The integrated end products, ranging from autonomous weapons systems and drones to commercial platforms.

[03:07](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=187s) Defense as the Tip of the Spear for Dual-Use Manufacturing

Elena raises the broader implication of this buildout: while much of this manufacturing surge is initially justified and catalyzed by defense needs (such as replenishing missile stockpiles or building unmanned aerial systems), it creates strong positive externalities for commercial industries like robotics, clean power, and AI data centers. Connor traces this pattern back through American history, pointing out that breakthroughs like the space program, the early internet (ARPANET), and commercial nuclear energy were all born as government defense directives before cascading into the broader civilian economy.

The major divergence today lies in the origin of initiative and funding. Historically, the government managed and contracted development top-down; today, private founders backed by venture and growth capital are moving proactively before contracts are even inked. Connor cautions that while early-stage startups often fall into the trap of chasing vague "dual-use" labels—distracting themselves by trying to satisfy commercial enterprise and government procurement simultaneously—the manufacturing infrastructure itself is inherently dual-use: “any neo-factory being built today, any energy production, anything touching minerals or materials in the ground—it's not just going into a defense system; it's going to go into my uncle's car, it's going to go into my kid's future toy.” The tip of the spear might be an urgent Pentagon contract, but the underlying supply lines eventually power autonomous fleets like Waymo or everyday consumer devices.

[05:09](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=309s) How DJI Went From Drones to Industrial Robotics

Erin points to the rise of DJI in Shenzhen as the quintessential playbook for how production know-how compounds across sectors. DJI did not start as a defense contractor; it began as a consumer drone company in the hobbyist space, gradually discovered massive defense and public safety demand in the late 2010s, scaled its manufacturing accordingly, and has now evolved into the undisputed global powerhouse of robotics hardware.

The underlying mechanics share almost complete overlap: the precision brushless motor that stabilizes a high-performance quadcopter drone is virtually identical to the actuator inside an articulated robotic arm or a humanoid robot's leg—often the single most difficult, bottlenecked mechanical component to engineer and mass-produce. Having mastered the volume production of drone motors for both commercial and military clients, DJI's parent network effectively transformed into the world's most sophisticated manufacturer of physical AI hardware.

Erin explains that this bi-directional technology transfer between civilian enterprise and military requirements has always powered manufacturing leaps: - **Military as the Process Subsidizer**: Defense contracts tolerate higher early price tags, funding the painful "zero-to-one" discovery of manufacturing techniques, tight tolerance controls, and initial factory buildout. - **Consumer Market as the Efficiency Engine**: Once process knowledge exists, discerning commercial consumers enforce ruthless price and quality pressures. As Erin observes: “I think our world's greatest gift in the United States is the discernment of the American consumer. We are going to push things to be more capable and cheaper than the government ever will.”

[06:51](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=411s) Capex Subsidies: From Missiles to Hearing Aids

Connor reinforces that building "first-of-a-kind" (FOAK) infrastructure is notoriously unforgiving on cash flow: taking any novel mechanical hardware or industrial process from zero to one hundred units carries exorbitant unit economics. A commercial startup attempting to amortize that initial machinery strictly on consumer price points often faces immediate insolvency.

However, having the national defense enterprise act as the initial anchor customer fundamentally rewrites the startup's economic viability. The Department of Defense is willing to pay premium per-unit costs to guarantee domestic security of supply, effectively absorbing the early capital expenditure required to buy high-end five-axis CNC machines, cleanroom equipment, or automated test benches.

Erin grounds this dynamic in a concrete example: domestic printed circuit board (PCB) fabrication. Setting up an advanced, secure PCB fab inside the United States requires millions of dollars in capital expenditure for high-precision lithography, plating, and inspection equipment. If an initial defense contract covers the capex hurdle to establish baseline factory operations, that identical production capacity immediately benefits the broader domestic industrial ecosystem: “Those are pretty expensive pieces of machinery. And if you have a defense buyer as the first buyer to help you kind of pay for or subsidize a lot of that capex investment, that's great because you know what else has PCB boards? Robots. You know what else has PCB boards? Hearing aids.” Once the capital footprint is in the ground, the incremental cost to stamp out boards for medical technology, industrial automation, and consumer gadgets drops dramatically.

[08:38](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=518s) The Elon Playbook: Vertical Integration

When looking at how startups in the United States can drive down production costs and accelerate timelines, the modern template inevitably traces back to Elon Musk's work at SpaceX and Tesla. Connor Love highlights that these two companies are among the few modern-day enterprises that have manufactured complex physical hardware at massive scale. Both achieved this through aggressive vertical integration. While Connor notes he generally believes founders should not vertically integrate everything if dependable suppliers exist, building an exquisite, first-of-its-kind system—like a specialized missile—often demands owning the stack to control both performance specifications and end costs.

Erin Price-Wright points out that SpaceX and Tesla had no choice: because an adequate domestic industrial base did not exist to support their ambitions, they were forced to fabricate the missing components themselves. For instance, Tesla had to establish a battery supply chain where none existed domestically, building its entire power electronics architecture and drivetrain from scratch based on research papers published in the 1970s that had gathered dust for forty years. Connor emphasizes the punishing friction of this approach for founders who want to concentrate solely on an end system, only to discover they must first manufacture basic components like solenoid valves and ball bearings. As Connor puts it:

> "I mean again I I I I think the the the learning though is number one if you don't have an industrial base that you can rely on you know quickly reliably you know etc then you have to do it yourself and inherently that is a hard journey like that that's really hard to do this concept of saying okay I'm going to focus on the end system I'm going to focus on you know building the most you know cost effective you know effective system that I can and oh by the way I got to go figure out the ball bearing I got to go figure out the solenoid valve I got like that that's a lot to do and in case of you know Tesla and SpaceX I would argue the the auto industry was a little bit different because there was a but there wasn't there wasn't a battery supply chain they had to you know Elon had to recreate that."

```mermaid flowchart TD accTitle: The Vertical Integration Dilemma accDescr: Flowchart illustrating the decision whether to rely on suppliers or vertically integrate an industrial stack.

subgraph Decision["Industrial Base Assessment"] A["Develop Novel End System"] --> B{"Reliable Domestic Base Exists?"} end

subgraph Sourcing["Execution Path"] B -->|"Yes"| C["Use High-Quality Suppliers"] B -->|"No"| D["Full Vertical Integration"] D --> E["Source Core Materials"] D --> F["Design Subcomponents (Valves, Bearings)"] D --> G["Build Custom Powertrains & Electronics"] end

subgraph Outcome["End Result"] C --> H["Faster Initial Assembly"] E & F & G --> I["Complete Cost & Exquisiteness Control"] end ```

---

[10:16](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=616s) Mariana Minerals and Full-Stack Asset Ownership

This drive toward end-to-end control is expanding into legacy industries like extraction and raw material processing. Elena Burger introduces Mariana Minerals, an AD50 company that recently purchased an operational copper mine to reinvent mineral extraction. Erin Price-Wright explains that legacy mining players were never going to adopt cutting-edge software quickly enough to make an impact. By purchasing the physical asset outright, Mariana put its money where its mouth was, positioning itself to capture the full economic value created by its technology. The company oversees every stage of the lifecycle—acquiring the property, developing it, mining the ore, operating the facility, and refining the materials across multiple mineral categories before selling finished commodities directly into the market.

Connor Love emphasizes that applying software and AI to the physical world requires a fundamentally different playbook than applying it to pure digital domains like legal tech or customer service. In physical sectors, operators often must own the underlying physical asset to fundamentally modernize it, because "showing is believing." Furthermore, owning the end-to-end operational pipeline creates a continuous feedback loop: software deployed across extraction, planning, and refining captures proprietary field data that continually trains and optimizes the operational models.

Drawing a parallel to Chris Power's advanced manufacturing company Hadrian, Connor stresses that transforming heavy industry is never about deploying a single "silver bullet." Hadrian's efficiency gains come from modernizing fifteen to twenty discrete nodes in the fabrication lifecycle, ranging from initial quoting and order intake to machining, physical inspection, and internal material transfer. Starting with a blank slate or seizing full control of an existing operation allows a founder to interrogate every legacy process from first principles.

- **Mariana Minerals' full lifecycle ownership:** asset acquisition, site development, extraction, facility operation, refining, and selling the finished commodity to open markets. - **Continuous data capture:** Software monitoring end-to-end extraction and processing feeds runtime operational data back into planning models. - **Hadrian's multi-node optimization:** Modernizing 15–20 distinct operational steps (quoting, machining, inspection, material transfer) rather than relying on one software fix.

---

[13:32](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=812s) Why AI Still Can't Turn a Wrench

While artificial intelligence offers massive leverage for heavy industry, Connor Love cautions against inflated short-term expectations regarding automated physical labor. AI is not yet capable of manual mechanical work:

> "The reality is AI cannot turn a wrench yet."

Connor notes that while foundational robotics models and autonomous systems are steadily advancing, true manual physical intervention remains distant. Transforming industrial workflows requires an intimate, domain-specific grasp of the physical fabrication process itself rather than just dropping a shiny AI wrapper into a facility.

Erin Price-Wright outlines how software and generative models are altering factory-floor economics, specifically in handling high-mix, low-volume production. Historically, heavy automation required low-mix, high-volume production—churning out tens of thousands of identical units—to justify the massive capital expenditure of a bespoke line. Because American manufacturing frequently handles high-mix, low-volume runs where lines must be retooled constantly, automation was traditionally deemed cost-prohibitive. Today, on-the-ground manufacturing technicians without software engineering backgrounds can leverage AI tools like Claude to reprogram and reconfigure machinery lines in twenty minutes, entirely bypassing the need to pay systems integrators hundreds of thousands of dollars over three-month delays.

This agility dramatically changes how defense prime contractors and systems builders—such as Anduril, Saronic, and Castelion—bring products to market. Connor observes that when companies concentrate exclusively on end systems without modular, adaptable factory lines, hardware iterations crawl. Teams spend months standardizing a single prototype missile or aircraft, only to discover that scaling it requires rebuilding every sub-tier supplier line from scratch. Agile, software-enabled tooling allows manufacturers to iterate prototype designs in rapid succession while designing for manufacturability from day one, clearing a direct path to rate production.

- **High-mix vs. low-mix economics:** High-mix, low-volume runs previously priced out automation due to persistent line changeovers. - **Technician-led automation:** Line workers utilize LLMs like Claude to reconfigure operational machinery in 20 minutes instead of waiting 3 months for third-party systems integrators. - **Production-speed acceleration:** Rapidly adaptable manufacturing lines enable defense primes like Anduril, Saronic, and Castelion to test prototypes and transition directly into rate production.

[16:58](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1018s) Designing for Manufacturing at Scale

The mantra of "design for manufacturing," originally forced upon Tesla and SpaceX because they had few alternatives, has permeated modern American systems companies. This operational shift is now visible on the ground. Facilities such as Anduril's plants in Ohio and Baltimore, alongside Saronic's massive shipyard facilities, mark an era where scale moves beyond paper plans. These plants are designed to pump out thousands, tens of thousands, and eventually hundreds of thousands of complex systems—a scale of domestic physical output America has not seen in decades. As Elena Burger highlights, this marks a pivot where hardware and defense tech cease to be a theoretical exercise and start rolling tangible hardware off assembly lines.

Elena notes that founders operating across the American Dynamism (AD) space possess a knack for turning any domain into an "Elon-sized problem." Connor Love explains that this mindset is especially transformative in defense, historically one of the most bureaucratic and frustrating sectors for builders. When Connor served in the Army, he witnessed firsthand how the system was crippled by fragmented incentives: the user of a capability is not the buyer, and the congressional appropriator funding the purchase is completely disconnected from both. Under the legacy model, traditional defense primes simply sat around waiting for requirements:

> "So what happens is, you know, companies, you know, back then we didn't really have neo-primes or AD companies to serve, but what you had is you had primes would just sit there and listen, like tell me what you want. I'll develop the thing after you give me the money. And you know, the the age-old problem is you get a system that's like actually not, you know, technology forward. You get a system that was developed for 10 years ago and then, you know, the end soldier gets something that actually is not super valuable to them." — Connor Love

```mermaid flowchart TD accTitle: Legacy Cost-Plus vs Modern Venture Model in Defense Procurement accDescr: Comparison showing how legacy primes wait for government funding while modern neo-primes use venture capital to build ahead of requirements.

subgraph Legacy["Legacy Prime Procurement"] L1["Appropriators & Buyers"] -->|"10-year requirement cycle"| L2["Primes Wait for Cost-Plus Contracts"] L2 -->|"Outdated tech developed"| L3["Soldier Receives Obsolete System"] end

subgraph Modern["Modern American Dynamism Model"] M1["Government Need Signaled"] -->|"VC & Private Capital Invested"| M2["Founders Build & Test at Risk"] M2 -->|"Production-ready capability"| M3["Soldier Receives Modern System Fast"] end ```

[18:54](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1134s) Building Ahead of Government Demand

The breakthrough for neo-primes and hardware startups is capitalizing on the broader capital markets to finance production ahead of formal government procurement. Instead of waiting for a signed cost-plus contract, founders read strategic signals, take venture capital risk, and engineer systems aligned with current commercial technology. Castelion serves as a prime case study: the startup took private venture backing to build and test a high-speed, reliable hypersonic missile over three years before government contracts materialized, rather than waiting for an exquisite decade-long program office to dictate specifications.

Connor emphasizes that this dynamic extends far beyond military weapons systems into foundational infrastructure like the electric grid, which is currently undergoing a massive overhaul that is barely on the "one-yard line." Erin Price-Wright observes that building in these industrial trenches is unglamorous and punishing. She points to Turner, the CEO of Mariana Minerals, who travels to remote corners of the globe where there is no cellular service or power, spending months away from family to physically inspect sites and negotiate with suppliers who operate on entirely different cultural and operational timelines:

> "It sounds kind of sexy and romantic, but when you're actually doing it, like, it's rough. The travel is really hard. The people you're engaging with, you know, you're not talking to, you're calling up your suppliers. These are not like other startups who operate in the same kind of time scale and culture as you. These are like really tough people to negotiate with and work with who, you know, have a very different culture. And if you're going to be putting yourself through that, like it better be damn worth it." — Erin Price-Wright

- Legacy procurement cycles divorced the military end-user from both the institutional buyer and the congressional budget appropriators. - Castelion spent three years validating and constructing functional hypersonics with private venture backing before the Department of Defense stepped in with procurement contracts. - Heavy industrial and mining founders spend extended periods completely off-grid, handling raw materials and negotiating with entrenched industrial suppliers.

[22:07](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1327s) From Patriotic Necessity to Trillion-Dollar Value

The most consequential shift across American dynamism is economic: physical infrastructure and defense companies are no longer viewed merely as vital national security imperatives—they are becoming the most valuable businesses on earth. Historically, sectors like mining, power generation, and defense were seen as low-margin or slow-moving fields that ambitious young software engineers and entrepreneurs avoided. That calculation changed dramatically once Palantir, Anduril, and SpaceX proved that building for national missions could yield generational commercial scale.

Erin points out that the list of the top ten most valuable companies in the world is once again dominated by hardware and physical-world tech, marking a decisive full-circle return to atoms over pure software. Connor adds that while established giants like Rio Tinto or Boeing have long existed, approaching these legacy spaces from first principles attracts top-tier talent eager to tackle foundational challenges—such as completely re-architecting the domestic power grid:

> "I mean, look, like the capital markets exists to, you know, make money. Like it's we're we're not a charity. This is a capitalist society, but in the end, a lot of the companies on this AD50 list are doing something that is both going to be large and valuable, but also going to be really inherently important to the fabric of America." — Connor Love

[24:47](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1487s) Steel-Toed Boots and Middle-of-Nowhere Site Visits

Elena asks about the lived reality of visiting physical facilities—whether drone manufacturing floors, advanced factories, or mining pits. Erin jokes that an unexpected prerequisite of her job as a venture investor was purchasing steel-toed work boots to meet baseline safety requirements across portfolio company site inspections.

Both Connor and Erin remark that while investing in deep tech and heavy industrial transformation is the best job in the world, the fieldwork is decidedly devoid of Silicon Valley luxury. Founders and investors spend their time navigating dusty, remote regions where companies must contend with raw materials, physical earth, heavy manufacturing machines, and the unforgiving laws of physics.

[25:26](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1526s) Steel-Toed Boots and Giant American Flags

Connor Love recalls a lesson from a senior military officer who warned him that “the physical world doesn't care about you,” emphasizing the immense danger, scale, and friction involved in physically moving tons of dirt or erecting massive industrial sites like Hadrian or Mariana Minerals. He highlights a lighthearted yet deeply symbolic tradition that has developed among modern hardware startups: an informal competition to see who can hoist the largest American flag on their facility. Love notes that Hadrian and Valar both fly massive flags, arguing that this visible patriotism reflects a genuine cultural driver within teams tackling grueling physical engineering challenges.

> “When you have to do something really hard in the physical world, if you have people that are willing to run through walls, sometimes literally to solve that problem, you're just, you know, you get really audacious, great outcomes.” — Connor Love

Love explains that one of his favorite diligence habits is revisiting the same company multiple times over a twelve-month period to measure the velocity of a factory buildout firsthand. He describes the striking evolution: on day one, an empty warehouse features pristine epoxy floors, a massive American flag, a rented forklift the founder is thrilled to show off, and a basketball hoop or makeshift bench press tucked in the corner. Six months later, the facility is overrun with technicians, operators, and chaos, with founders scrambling to get municipal utility approval for more electrical power because every machine is plugged in. Elena Burger and Love joke about the ubiquitous gym setups in industrial hubs, with Burger recalling how Isa Ghivarelli at El Segundo made her do bench press repetitions during an initial visit.

- Hadrian and Valar hold prominent reputations for their oversized American flags on factory floors. - Hardware founders routinely track their rapid warehouse expansions through time-lapse videos, creating a mini-genre of industrial documentary film. - Initial site visits frequently feature bare essentials: rented equipment, empty floor plans, and improvised gyms before scaling into high-power manufacturing environments.

[28:39](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1719s) How Defense Unlocks the Robot Wave

Elena Burger asks whether an industrial "contagion effect" exists in the United States, where manufacturing domestic actuators enables downstream products and dramatically compresses development timelines across adjacent sectors. Connor Love agrees, expanding the premise from speed to include substantial gains in cost and component quality. Systems-level defense primes—such as Saronic (building autonomous surface vessels), Castelion (hypersonic missiles), and Anduril—require massive downstream volumes of critical subcomponents. Love points out that defense scale creates the exact manufacturing foundation required for the broader commercial robotics revolution:

> “We're going to spend all this time on development of all those subcomponents. We're going to build for a lot of these military systems, which is good. We need it for security and safety and deterrence, but then all of a sudden you're going to have this, you know, kind of robotic wave that will come in America.” — Connor Love

```mermaid flowchart TD accTitle: Defense Demand Flow to Commercial Robotics accDescr: Diagram illustrating how defense contracts fund subcomponents that downstream into consumer and industrial robotics.

subgraph Defense ["Top-Down Defense Demand"] A["Military Systems Builders<br>(Saronic, Castelion, Anduril)"] end

subgraph SupplyChain ["Domestic Subsystem Manufacturing"] B["Critical Subcomponents<br>(Actuators, Motors, Valves, Switches)"] C["Domestic Quality & Cost Parity"] end

subgraph Commercial ["Commercial Robotics Horizon"] D["Humanoid & Factory Robotics"] E["Independence from Chinese Factories"] end

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

Love stresses that while current commercial humanoid deployments remain limited to a few thousand units, military production subsidizes the identical sub-tier components—actuators, electric motors, switches, and valves—that make mass robotics financially and mechanically viable. At present, roughly 99% of parts sourced by American robotics startups originate in China. Onshoring this purchasing footprint is vital not only for national security, but to accelerate engineering iteration, enhance quality control, and escape reliance on foreign supply chains.

Erin Price-Wright points out that America's domestic supplier ecosystem has transformed dramatically over the past three years alone. She cites a portfolio company that previously ordered double its necessary printed circuit board (PCB) inventory because half of the batch routinely failed basic incoming quality tests:

> “One of the companies in our portfolio, three years ago would order two times the number of PCB boards PCBs that they needed because they assumed that they would have to throw 50% of them away for quality issues.” — Erin Price-Wright

Through software integration, modernized production techniques, and tighter geographic collocation between customers and modern domestic suppliers, failure rates plummeted, with modern domestic PCB suppliers delivering 70% to 90% test-pass rates.

[32:05](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=1925s) The Rise of the Manufacturing Middle

Connor Love outlines a structural shift within the industrial base driven by top-down demand from new vehicle and weapons platforms. From aerospace entrants like Joby Aviation and Archer Aviation designing novel electric aircraft to modern defense startups, end-use machines require fundamentally redesigned inputs rather than legacy components. Historically, legacy primes like Boeing relied on traditional suppliers such as Honeywell to deliver subsystems like landing gear for the 737. Love notes that Honeywell operated on rational economic incentives: because a decades-old landing gear design already fulfilled official specifications, there was no financial upside to redesigning it from scratch.

> “The problem though is when you keep iterating on these new requirements for end systems, at some point the 50-year-old subsystem just doesn't work.” — Connor Love

While physics remains unchanged, advances in advanced materials, modern design software, and digital manufacturing mean that recycled 50-year-old component architectures handicap modern platforms. This friction has unlocked a massive market opening for agile middle-tier manufacturing firms capable of "co-engineering" bespoke, modernized subcomponents in direct partnership with next-generation primes.

[33:50](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2030s) The Rise of the Manufacturing Middle as a New Asset Class

For the past forty years, American tier-two and tier-three suppliers have operated strictly in "receive mode." Connor Love illustrates this dynamic with prime contractors like Honeywell: Honeywell picks up the phone, orders another landing gear, and sends over blueprints. The supplier simply builds to specification without owning or altering the intellectual property. If requirements evolve, that legacy middle layer cannot rethink designs on Honeywell's behalf because their business models and engineering benches were never set up for it. However, a major structural shift is underway. Love argues that a new tier of suppliers is emerging to serve as proactive co-engineers alongside end original equipment manufacturers (OEMs). Rather than merely tweaking top-level vehicle speed or payload mass, these modern suppliers are completely redesigning and rebuilding individual subcomponents from first principles.

```mermaid flowchart TD accTitle: Evolution of the Manufacturing Middle accDescr: Comparison of legacy contract manufacturing versus the modern co-engineering model.

subgraph Legacy["Legacy Tier-Supplier Model (Past 40 Years)"] direction TB L1["Prime OEM (e.g., Honeywell)"] -->|"One-way specs & blueprints"| L2["Contract Machine Shop"] L2 -->|"Strict 'receive mode' fabrication"| L3["Static Subcomponents"] end

subgraph Modern["Modern Manufacturing Middle"] direction TB M1["Next-Gen End OEM"] <-->|"Two-way co-engineering"| M2["Modern Advanced Supplier"] M2 -->|"First-principles component redesign"| M3["Lighter, Cheaper, Higher-Spec Systems"] end ```

Love believes this wave represents the creation of a brand-new "American manufacturing asset class." While private equity has long operated in manufacturing by buying legacy machine shops, squeezing operational costs, and flipping them, financial engineering does not alter the fundamental nature of what gets made. By contrast, venture-backed manufacturing startups are fundamentally transforming physical systems by pushing advanced design and software-defined development directly up the supply chain. As Connor Love emphasizes: “So, you're going to see a completely new wave of what I believe like will be called like the manufacturing middle, that will be, you know, co-engineering and pushing design and development upward in the supply chain as opposed to just being in receive mode and saying, 'Okay, I can build the same thing I built 40 years from now.'”

- **Legacy Model:** Transactional, print-to-part fabrication operating on customer-provided IP with zero design feedback loop. - **Next-Gen Middle Layer:** Retains component-level IP, partners directly with OEMs, and continuously iterates subcomponents for mass, thermal, and manufacturing efficiencies. - **Private Equity vs. Venture-Backed Manufacturing:** Traditional private equity focuses on cost-cutting and margin extraction on existing parts, whereas the new manufacturing middle introduces entirely new architectures and production methods.

---

[35:26](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2126s) The Power Grid Step Change and the Irreversible Demand Snowball

Erin Price-Wright points to the electrical grid as a prime example of this architectural reset. The United States is on the precipice of a massive technological step change in how power is transferred and managed. The country is moving away from the static, purely mechanical distribution systems deployed at scale in the 1970s and 1980s toward modern, software-native power electronics and distributed battery storage architectures. When a replacement technology is so fundamentally distinct from its predecessor, the legacy component catalog becomes obsolete, forcing engineers to rebuild the underlying supply chain from scratch. Connor Love connects this directly to what is happening across defense and commercial hardware: surging demand from AI data centers, domestic factories, and modern defense systems is pulling clean-sheet engineering into existence.

Skeptics often counter that projected demand might falter—questioning whether all military drone programs will actually get funded or whether overall electricity demand will truly quadruple. Love and Price-Wright dismiss that pessimism as irrelevant to the long-term trajectory. Once an engineering team re-evaluates a mechanical subcomponent from first principles—designing something cheaper, lighter, easier to service, and simpler to manufacture—the industry reaches a point of no return. Even if overall market demand realizes only half of current forecasts, procurement teams will still refuse to purchase legacy hardware. As Erin Price-Wright observes regarding this permanent architectural shift: “And when you think about sort of like the electronic stack, and we're about to go through a huge step change in how we manage and transfer power on the grid, moving from a system of sort of static and mechanical systems that were deployed in large scale across the US in like the 70s and 80s to now sort of modern power electronics, battery storage architectures which are much more software native and flexible and you know that is is just when you have a such a complete step change in technology where the technology that's replacing the previous thing is just completely different, you have this opportunity to rethink the entire supply chain behind that and the way all of that design and engineering work happens.”

---

[37:26](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2246s) The Second-Generation Playbook: Spinoffs from SpaceX and Anduril

Elena Burger turns the discussion to founder lineage, asking about the influx of second-generation alumni spinning out of anchor companies like Anduril, Palantir, Tesla, and SpaceX. Price-Wright explains that the best way to ignite an entrepreneurial drive is for an engineer to spend years banging their head against a wall on a painful factory-floor or supply-chain bottleneck. Once an engineer realizes that the part shortage or tooling failure they wrestled with at Anduril, Saronic, or SpaceX is an industry-wide headache, they leave to build a standalone supplier company to solve it. This dynamic mirrors the early software ecosystems of Y Combinator and classic Silicon Valley: early-stage founders sell their components directly to former colleagues who act as friendly, tolerant early adopters willing to absorb early bugs because outsourcing non-core components frees them to tackle their own existential problems.

Connor Love notes that while outsiders view SpaceX and Palantir as meteoric triumphs, they were actually “overnight successes that took 20 years.” The defining attribute passed down from these organizations is an obsessive, disciplined focus on mastering one excruciatingly hard physical problem before attempting to expand. Love highlights the team at Castelion, who spent nearly three years exclusively focused on building their first hypersonic missile despite outside pressure to become a broad multi-product drone vendor. This cultural discipline stems directly from the SpaceX ethos of the "responsible engineer"—the standard where an individual engineer personally owns a component's success and knows that if it fails, accountability lands squarely on them. Once a team ships that first complex system, they accumulate invaluable process knowledge, customer trust, and design-for-manufacture intuition that makes subsequent products far easier to deliver. As Erin Price-Wright describes this founder dynamic: “I mean, you get a great way to light a fire under an entrepreneur is for them to be banging their head against the wall on a sort of engineering or supply chain problem where they are and then they're, you know, they're like, 'Well, okay, I really care about this. This is a pain in my ass. I know it's bothering other people. I know it's a problem that I don't just have here at Anduril or SpaceX or Tesla. It's a problem more broadly. I'm going to go solve that more generally.'”

- **Customer Symbiosis:** Alumni-led suppliers have warm, captive pipelines into prime startups like Anduril and Saronic, accelerating initial revenue and validation. - **The "Responsible Engineer" Doctrine:** Borrowed from SpaceX, this principle eliminates bureaucratic diffusion of responsibility by assigning total accountability for a subcomponent or flight system to a single engineer. - **Compounding Process Knowledge:** Nailing the initial product builds factory infrastructure, supplier qualification pipelines, and customer credibility, unlocking the ability to develop secondary and tertiary product lines rapidly.

---

[41:06](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2466s) America’s Asymmetric Edge: Trillions in Flexible Private Capital

When Elena Burger asks what structural advantage the United States maintains over China's state-directed model, Connor Love points directly to American capital markets. He cites recent remarks by Anduril co-founder and CEO Brian Schimpf regarding the sheer scale of the domestic financial ecosystem. While China relies on top-down state subsidies and government-mandated five-year industrial plans, the United States commands trillions of dollars in private capital that naturally flows toward technological milestones, manufacturing execution, and founder-led momentum.

Because American capital is market-driven rather than politically dictated, it can pivot rapidly to reward physical-world breakthroughs. While deep, liquid capital markets have long been an American hallmark, the critical shift over the past few years is that generalist capital allocators have finally recognized American industrial resilience and defense hardware as attractive, high-return asset classes. As Connor Love argues: “Number one, like we do not have a top-down directed, you know, industrial policy that says the state will put this amount of money in this, and I think to some extent that's a good thing because the money will follow the entrepreneur, the money will follow the success.”

[42:10](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2530s) America's Real Edge: Its Capital Markets

The conversation turns to the structural advantage the United States possesses through the depth of its financial markets. Connor Love notes that investment is not merely flowing from traditional Sand Hill Road venture firms, but across the entire financial system. Wall Street giants like JPMorgan have committed trillions of dollars toward real-world industrial projects, ranging beyond defense into domestic manufacturing and factories. Private equity and major private credit firms have stepped in aggressively to provide debt and equity financing. This institutional scale is indispensable because American Dynamism (AD) companies operate with intense capital intensity. Building physical systems—whether a Falcon 9 launch vehicle, a Collaborative Combat Aircraft (CCA), or an Anduril Barracuda missile—demands massive initial outlays to construct high-rate manufacturing lines and assemble complicated physical hardware.

```mermaid flowchart TD accTitle: Industrial Capital Stack Flow accDescr: Capital flows from diverse US financial institutions into physical hardware, eliminating the defense valley of death. subgraph CapitalSources["Broad US Capital Markets"] VC["Venture Capital"] PE["Private Equity"] PC["Private Credit & Megabanks"] end subgraph PhysicalAssets["Industrial CapEx Deployment"] CapEx["Factories, Tooling & Foundries"] end subgraph HardwareOutputs["Advanced Physical Systems"] Sys["Rockets, CCAs, Missiles & Grid Assets"] end VC --> CapEx PE --> CapEx PC --> CapEx CapEx --> Sys ```

Connor highlights that unlike China’s centralized, top-down allocation model, American capital markets are driven from the bottom up, allowing investors to move dynamically: “So I think part of this is, you know, the capital markets, you know, speak with, you know, where the success happens, and the reality is, is it's the capital markets are not top-down driven by our government unlike China's, and and what that allows is that allows us to be far more flexible, you know, again to follow success like I said, and then more importantly, um, to fund things in advance of it being obvious.” Erin Price-Wright underscores this momentum with recent industry numbers, remarking: “Yeah. I mean, if you look at just the first half of 2026, more uh more risk dollars went into the defense ecosystem than all of last year combined, which was many times what went into the defense ecosystem in all of the previous year combined.” This deluge of private risk capital is actively dissolving the traditional procurement "valley of death," enabling startups to construct facilities and scale production before receiving formal government production contracts, a pattern spreading rapidly into robotics, grid-scale energy, and critical mineral extraction.

- JPMorgan and premier commercial institutions have pledged multitrillion-dollar allocations to rebuild physical-world domestic manufacturing and industrial supply lines. - Private equity and mega-credit funds are providing long-term non-dilutive and structured capital to support heavy CapEx for advanced defense systems. - In the first half of 2026 alone, total risk capital deployed across the defense industrial base surpassed full-year totals from 2025 and eclipsed the preceding multi-year baseline.

---

[44:23](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2663s) The US vs. China Power Chart and Physical Realities

Elena Burger brings up the widely circulated chart comparing American power production to China's explosive trajectory: while the line representing United States new energy generation has remained largely flat for decades, China’s curve surges steeply up and to the right. Asked what it will take to close that chasm, Erin responds that the bottleneck is not engineering or raw innovation: “I I don't think that is I don't think that that is a, um, technology problem. I think that that's a we need to do some soul-searching about our will as an American people, and do we want conforming projects to be built? Do we want to grow? Um, and if we do, I think the the the technology and the capital will follow.” Connor concurs, pointing out that this stagnation touches the entire physical economy—from transmission grids to manufacturing plants.

Connor observes that while momentum is finally building, investors and citizens must respect the natural timeline of heavy industry. Developing hardware cannot be accelerated like coding an application, because changing the physical landscape requires time, permits, and heavy labor: “You can't take a couple of engineers, you know, throw them in front of a couple servers and computer screens and come up with an answer. I mean, it's it's moving dirt. It is physically understanding a supply chain. Like, these things take years.” He cautions that while capital is prepared to fund this multi-year renaissance, America’s chief vulnerability is regulatory self-sabotage: “To some extent, like, it's ours to lose. Like, it's ours as a government and a nation to to mess up and to get in the way of this, and that's a risk, don't get me wrong.”

---

[46:34](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=2794s) Bringing Middle America Along for the Renaissance

Erin notes that because physical infrastructure leaves an undeniable footprint, companies must build social license with the local communities living beside them. During the software era, tech wealth remained geographically concentrated in coastal enclaves, giving broad swathes of the country little direct economic participation. Physical industrial assets—whether a hyperscale data center, a nuclear reactor, or a lithium mine—directly impact neighbors' everyday lives: “American society at large feels like they're participating in the economic growth that's coming as a result of this development.” Erin believes that transparent capital markets will ultimately align incentives so that local host communities capture tangible financial upside from the new facilities.

Connor cites Hadrian as a prime model of industrial stewardship, pointing out that rather than acquiring and dismantling legacy suppliers, they partner directly with machine shops across the heartland to scale their order books without mass layoffs. Silicon Valley founders must abandon coastal arrogance and realize that reviving the industrial base means actively partnering with Middle America: “I mean, it will physically exist in Middle America, and, you know, I I I think that's net good. I think that means more jobs, more prosperity. I think that means more energy and abundance world where, you know, we have a safer America.” Elena adds that dispersing prosperity into non-coastal areas will relieve the unhealthy concentration of wealth within elite pockets. Closing the conversation, Elena encourages listeners to examine the full breadth of businesses honored in the latest AD50 list.

- Software value creation stayed isolated within a small set of coastal tech hubs, whereas industrial projects distribute capital, jobs, and infrastructure into Middle America. - Companies such as Hadrian operate by empowering established regional machine shops with software and modern demand rather than firing existing personnel. - Sustained industrial execution will diminish the geographic wealth gap, creating a broader domestic base for national security, economic prosperity, and energy abundance.

## Notable quotes > [00:51](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=51s) You don't have a defense industrial base without an industrial base. — Erin Price-Wright

> [13:32](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=812s) The reality is AI cannot turn a wrench yet. — Connor Love

> [05:09](https://www.youtube.com/watch?v=cRJ7CfaK1Vc&t=309s) I think our world's greatest gift in the United States is the discernment of the American consumer. We are going to push things to be more capable and cheaper than the government ever will. — Erin Price-Wright

## Mentioned AD50, Anduril, Anduril Barracuda, Archer Aviation, Boeing, Brian Schimpf, Castelion, Chris Power, Claude, Connor Love, DJI, Elena Burger, Elon Musk, Erin Price-Wright, Falcon 9, Hadrian, Honeywell, Isa Ghivarelli, Joby Aviation, JPMorgan, Mariana Minerals, Palantir, Rio Tinto, Saronic, SpaceX, Tesla, Valar, Waymo

## Video description America’s defense, energy, manufacturing, and robotics booms are increasingly becoming one story: the rebuilding of the country’s industrial base. This year’s AD50 highlights the companies building across that stack, from critical materials and factories to the systems they ultimately power.

a16z’s Erin Price-Wright and Connor Love join Elena Burger to unpack what has changed. They discuss how defense demand can help finance manufacturing capacity that ultimately serves much larger commercial markets, why AI is changing the economics of American factories, and how a new generation of founders is applying lessons from SpaceX, Tesla, Anduril, and Palantir to mining, energy, manufacturing, and defense.

They also make the case that these companies are no longer simply important to America. With private capital increasingly willing to fund physical infrastructure and production before government demand is guaranteed, they can become some of the most valuable companies in the world.

Timestamps: 0:00 Intro 0:49 No Defense Base Without an Industrial Base 5:09 How DJI Went From Drones to Robots 8:38 The Elon Playbook: Vertical Integration 10:16 Mariana Minerals Bought a Copper Mine 13:32 Why AI Still Can't Turn a Wrench 17:46 Building It Before the Government Asks 22:07 When Hardware Became the Most Valuable Game 24:47 Steel-Toed Boots and Giant American Flags 28:39 How Defense Unlocks the Robot Wave 32:05 The Rise of the Manufacturing Middle 37:43 Spinning Out of Anduril and SpaceX 41:16 America's Real Edge: Its Capital Markets 44:23 The US vs China Power Chart

Resources: Explore the AD50 : https://www.a16z.news/p/ad-50-2026-production-is-deterrence Follow Erin Price-Wright: https://x.com/espricewright Follow Connor Love on X: https://x.com/ConnorLoveCA Follow Elena Burger on X: https://x.com/VirtualElena

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.

[Source](https://www.youtube.com/watch?v=cRJ7CfaK1Vc)

中文简报

A16z认为私人资本正推动美国制造业与军工重建 国防需求充当了早期的资本支出补贴,吸收了首创生产成本,并为更广泛的商业机器人和制造业繁荣播下了零部件基础。 对话概述了多年的去工业化如何造成严重的国家安全风险,进而推动了涵盖原材料投入、制造工厂和终端系统的现代复兴。发言者探讨了初期国防需求如何作为资本支出补贴,惠及机器人等更广泛的军民两用商业应用,而新一代创始人正将SpaceX、特斯拉和Anduril的垂直整合模式应用于铜矿开采和输电等传统行业。他们强调了人工智能辅助工装正在改变多品种小批量工厂的经济模型,并认为美国去中心化、高流动性的私人资本市场相比自上而下的国家补贴具备不对称的地缘政治优势。最后,他们总结称,维持这一势头需要国家层面的监管意愿,并与实体基础设施所在的中美洲本土社区实现真正的经济利益协同。 私人资本在政府采购合同敲定之前,便通过资助实体基础设施、工装设备和新型工厂,从根本上改变着美国硬件制造业。 (17:54) 2026年上半年流入国防工业基地的风险资本已超过2025年全年的投资总额,这得益于风险投资基金、私募股权和华尔街机构的广泛参与。 (42:10) 国防需求为执行器、无刷电机和印刷电路板等军民两用零部件提供了早期资本支出补贴,从而降低了更广泛的商业机器人和消费电子产品的成本。 (6:51) 新的“制造中间层”正在通过与下一代主要承包商直接联合设计现代化的软件赋能子组件,逐步取代传统的交易型梯级供应商。 (33:50)

Source quotes

[0:51] Erin Price-Wright: You don't have a defense industrial base without an industrial base. [13:32] Connor Love: The reality is AI cannot turn a wrench yet. [5:09] Erin Price-Wright: I think our world's greatest gift in the United States is the discernment of the American consumer. We are going to push things to be more capable and cheaper than the government ever will.

Original transcript

[0:00] You don't have a defense industrial base [0:02] without an industrial base. It's been a [0:03] real wakeup call that we need to get [0:05] building again. [0:06] >> AI will be a phenomenal tool that can be [0:08] used in the physical world. The reality [0:10] is AI cannot turn [music] a wrench yet. [0:12] >> The top 10 most valuable companies in [0:14] the world, like the majority of them are [0:15] hardware companies. [music] What's it [0:17] like to visit one of these sites? You're [0:18] building a physical thing. You're not [0:20] sitting at a desk on your computer. [0:22] You're [music] out in the world. It [0:24] sounds kind of sexy and romantic, but [0:25] when you're actually doing it, it's [0:27] rough. When you show up at Mariana, when [0:29] you show up at Hadrien, we [music] show [0:30] up at Castillion, you literally get [0:32] people who are so passionate about what [0:34] they're doing, that produces really good [0:36] results. [0:36] >> There's [music] that very famous chart [0:38] of like US power production versus China [0:41] new energy production. What would it [0:44] take to [music] close that gap? [0:45] >> I don't think that that is a technology [0:47] problem. I think that that's a [0:51] Connor and Aaron, thank you so much for [0:54] joining the podcast today. We're here to [0:57] talk about 8050 and this year's list and [1:00] let's just get straight into things. Um, [1:03] I know a big theme of this year was the [1:07] American industrial base. Can you talk [1:09] about what we've learned this year and [1:11] why that's such a big important theme [1:13] right now? We've been saying for a [1:16] while, you don't have a defense [1:18] industrial base without an industrial [1:19] base. And I think this year really put [1:22] that into perspective. um you know with [1:24] conflicts going on in the world and and [1:26] realizing that um you know the hollowing [1:28] out of our industrial base that's [1:30] happened over the last several decades [1:31] actually has real consequences on the [1:33] battlefield for soldiers um both you [1:36] know American soldiers and our allies [1:38] and I think it's been a real wakeup call [1:40] in the United States um that uh we need [1:42] to get building again. [1:44] >> Yeah. I mean I think it's also something [1:45] that is not just one factor but it's [1:47] multiple factors that are all kind of [1:49] happening at the same time. And when you [1:50] take a step back and you say, okay, [1:52] world conflict, you have kind of a [1:54] continued evolution of the capital [1:56] markets, which I'm sure we'll talk about [1:57] a bit later about capital flowing into [1:58] this ecosystem. But I think one of the [2:00] bigger things is you actually have an [2:02] entrepreneurial base right now who is [2:04] effectively raising their hand and [2:06] saying, I'm going to build in this [2:07] ecosystem that's incredibly important, [2:08] not just for our nation, but also you [2:10] can build really valuable companies in. [2:12] So I think it's just this conglomeration [2:14] of a of geopolitical factors of capital [2:17] markets and then entrepreneurs that are [2:18] kind of all just coming together and you [2:20] know I think it's a really interesting [2:22] time to be building. It's a good time [2:23] for us to be investing. When we looked [2:25] at 8050 this year, we thought about uh [2:27] you know kind of where we're at in the [2:29] history of American dynamism and we're [2:31] still early but I think one theme that [2:33] has evolved is like you really need to [2:34] start looking at American dynamism [2:36] companies as a totality from end to end [2:39] from the input that comes out of the [2:41] ground to the factory that makes the [2:43] thing to the end system. And so that's [2:45] how we've set up 8050 this year to think [2:47] through those three lenses. Each one of [2:49] those pillars is uniquely important to [2:51] you know the end product or the end [2:53] system but in the end like I I I don't [2:56] think people think that way and a lot of [2:57] the companies that are addressing you [2:59] know uh uh things in our portfolio have [3:01] thought you know from a inputs [3:03] perspective from a facto's perspective [3:04] and now from a systems perspective. So [3:07] one theory that a person could develop [3:09] after looking at the list is okay we [3:12] built out this industrial base for you [3:15] know defense like building missiles and [3:17] drones. Um but it's actually a tailwind [3:20] now that's helping a lot of different [3:22] industries in America. So there is [3:24] energy, there's robotics, there's AI. [3:26] Can you kind of talk about how all of [3:28] these things fit together? Yeah, I mean [3:31] uh it's funny because if you look back [3:32] in history, I mean even you know 70 80 [3:35] almost 100 years ago if you look at how [3:38] we've developed technology in America a [3:40] lot of times it's very much been from [3:42] the government. If you look at how we [3:43] you know went to space for the first [3:44] time, if you look at how we developed [3:45] the internet, um how we developed [3:47] nuclear energy, it was the government [3:48] saying we're going to do this for the [3:51] purpose of the government and then the [3:52] long tale of that technology was super [3:54] valuable for, you know, you name it, the [3:56] internet being created, you know, energy [3:57] being proliferated, you know, across the [3:59] world. Um what's different now to some [4:02] extent is now private industry as well [4:04] as private capital was saying, you know, [4:06] we're actually going to be the impetus [4:08] that that develop something. And so to [4:10] your point um you know the many of these [4:13] markets is to serve the federal [4:15] government to serve the department of [4:16] war in some way. But the beauty about [4:18] these things is when you build you know [4:20] an industrial base either you know down [4:22] the supply chain or end systems itself [4:24] those inherently have many use cases. I [4:26] mean the the term dual use is talked [4:28] about a lot in in investing and you know [4:30] to some extent like uh I think it's a [4:33] little bit of a folly like focusing on [4:34] too many things at once is not good for [4:36] a startup but it is 100% true of what's [4:38] happening with any factory that's being [4:41] built today any neoactory being built [4:43] any any uh energy production anything we [4:45] we we touching kind of minerals or [4:47] materials in the ground it's not just [4:49] going into a defense system it's going [4:50] to go into my uncle's car it's going to [4:53] go into like my kid's future you know [4:55] toy that they have in some way, shape or [4:57] form. So I I I do think it is a uh you [4:59] know uh maybe the tip of the spear is [5:01] focus on the government but I think in [5:03] the long run to your point like what's [5:05] happening is these systems will be used [5:06] you know in the Whimo that we took today [5:08] or or anything else. [5:09] >> I think a good a good example of this to [5:11] to look at is actually DJI in China. [5:13] >> Yeah. [5:14] >> Um which start which has gone through [5:16] you know multiple arcs of of of its [5:19] lifetime and its journey. you know, [5:21] started out building consumer drones and [5:24] recognized over the late 2010s that [5:27] there was a large market for drones in [5:30] um both public safety and national [5:31] defense and so built out, you know, a [5:34] real highcale drone production business [5:37] for defense. And now the company behind [5:40] DJ or the the folks behind DJI are now [5:43] the largest producers of robots in the [5:45] world because what is very similar to a [5:47] drone motor is a robot actuator which is [5:49] the hardest part of building a robot. So [5:51] you have this company that over the [5:52] course of growing a large defense [5:55] business that itself spun out of a [5:56] consumer business is now you know the [5:59] world's leading expert on how to build [6:00] and produce hardware for kind of the [6:02] next wave of physical AI both consumer [6:04] and uh industrial. Um, and so I think, [6:08] you know, this technology transfer and [6:10] process knowledge transfer between [6:12] military use cases and non-military use [6:14] cases is really important and has always [6:16] been how it works. Um, and it's great to [6:18] have the federal government be sort of a [6:21] a a subsidizer for figuring out this [6:23] process knowledge and figuring out the [6:25] new technology. And then, you know, I [6:26] think I like our world's greatest gift [6:29] in the United States is the discernment [6:32] of the American consumer. like we are [6:34] going to push things to be more capable [6:36] and cheaper than the government ever [6:38] will. So that symbiotic relationship um [6:40] in the industrial base is actually [6:42] really important and we're certainly [6:43] seeing that on the energy side. [6:45] >> We're seeing that on the electronic [6:46] side. uh we're seeing that you know ac [6:49] across the entire sort of industrial [6:51] stack [6:51] >> and and and to some extent I I I I don't [6:53] think this is a super complex you know [6:56] topic but it's important to kind of [6:57] restate which is when you build the [6:59] first of a kind of anything it's quite [7:01] expensive like when you are building a [7:03] bespoke you know whether it's a military [7:05] system or a consumer product [7:06] >> zero to 100 it's going to cost a lot [7:08] >> it's going to cost a lot and and to some [7:10] extent like you you know we'll get into [7:12] this a bit a bit later I bet but you [7:13] know we talked about vertically [7:14] integrating or using the supply you know [7:16] chain base that you have. Um the [7:18] beautiful thing about what's happening [7:20] right now is we have a federal [7:21] government and a department of war is [7:23] saying, you know, number one, we're [7:24] going to we're going to try to actively [7:26] rebuild some of this this industrial [7:28] base. And by doing that, they're [7:29] actually changing that unit economic [7:31] decision from the start for these [7:33] companies. So, you know, again, it's [7:35] instead of building a 100 things, you [7:36] can say, okay, maybe build a hundred, [7:39] but we're willing to pay a cost that the [7:41] consumer or the commercial market [7:42] wouldn't pay. And all of a sudden then [7:44] you know that means more machines you [7:45] can put in your factory more capex that [7:47] you know the government is helping you [7:48] pay at the start and then that leads to [7:50] things that are physic you know both [7:52] like financially viable but also like [7:54] you know at a scale that actually can [7:55] touch the consumer. So I just it's [7:57] important to to to identify that and [7:58] that is definitely happening right now. [8:00] >> Yeah. Like like if you're building a new [8:01] PCB fab in the United States like that's [8:03] a pretty expensive operation. Those are [8:05] pretty expensive machinery pieces of [8:07] machinery. Um, and if you have a defense [8:10] buyer as the first buyer to help you [8:12] kind of pay for or subsidize a lot of [8:14] that capex investment, that's great [8:16] because you know what else has PCB [8:18] boards? Robots. You know what else has [8:19] PCB boards? [8:21] >> Hearing aids. Um, and so the ability to [8:23] to kind of pass on some of that capex to [8:26] the defense industrial base, I think is [8:28] uh will be really powerful as we as we [8:30] uh rebuild kind of industrial capacity [8:31] in the United States. So what [8:33] specifically are you seeing startups do [8:35] to drive down costs and move faster? [8:38] >> Yeah. Um I mean I I think uh like many [8:41] things we can look to uh Elon for a lot [8:43] of answers here. I mean it's not a crazy [8:45] statement to say really the few [8:47] modern-day companies that have built [8:49] anything at scale are probably SpaceX [8:51] and Tesla. Um and if you look at how [8:53] Elon and and his team have built those [8:55] businesses, it's been one very [8:57] vertically integrated. Uh and and look [8:59] like I I take the the ideology that you [9:01] shouldn't vertically integrate [9:02] everything. I mean again if you're [9:03] building a super exquisite system like a [9:06] missile that is you know doing something [9:07] very unique you kind of have to because [9:09] you have to you know control the [9:10] exquisitness you have to control the [9:12] cost. [9:13] >> Well well I mean SpaceX and Tesla were [9:14] doing first of their kind like there was [9:16] there didn't exist an industrial base in [9:18] the US to support them and so they had [9:19] to build it themselves. I think where [9:21] there are high quality suppliers like [9:23] you should use for sure suppliers. [9:25] >> Yeah. Yeah. I mean again I I I I think [9:27] the the the learning though is number [9:30] one if you don't have an industrial base [9:32] that you can rely on you know quickly [9:34] reliably you know etc then you have to [9:36] do it yourself and inherently that is a [9:38] hard journey like that that's really [9:39] hard to do this concept of saying okay [9:41] I'm going to focus on the end system I'm [9:43] going to focus on you know building the [9:45] most you know cost effective you know [9:48] effective system that I can and oh by [9:49] the way I got to go figure out the ball [9:51] bearing I got to go figure out the [9:52] solenoid valve I got like that that's a [9:54] lot to do and in case of you know Tesla [9:56] and SpaceX I would argue the the auto [9:58] industry was a little bit different [10:00] because there was a but there wasn't [10:01] there wasn't a battery supply chain they [10:03] had to you know Elon had to recreate [10:04] that [10:05] >> well the whole the whole power [10:06] electronics the the whole drivetrain you [10:08] know they had to really build completely [10:10] from scratch [10:11] >> uh based off papers that were published [10:12] in the 70s that you know had been [10:14] collecting dust for for 40 years. Um in [10:17] terms of uh companies that we talk about [10:20] in the 80 portfolio, there's Mariana [10:23] Minerals which bought a copper mine and [10:26] is kind of reinventing things end to [10:28] end. Would they be a good example to to [10:30] talk about here? I think that they they [10:33] recognized that um the you know the the [10:36] existing players in the mining industry [10:39] just were not going to pick pick up [10:40] technology fast enough uh for it to [10:43] really make a difference and really move [10:44] the needle that and they also recognized [10:46] that they wanted to actually own the [10:48] entire value chain to be able to really [10:50] put their money where their mouth was um [10:52] and capture the end value of the new [10:54] technology they were bringing. So yeah, [10:56] they do everything from you know [10:58] acquiring the asset, developing the [11:00] asset, mining the asset, operating the [11:02] asset and refining the material [11:04] themselves across multiple different uh [11:06] multiple different minerals and then [11:08] they sell a final commodity product in [11:09] the market. Um and have really leaned in [11:11] that's another trend I would point to is [11:13] how much founders and entrepreneurs [11:16] building in these spaces are leaning [11:17] into AI and software as a huge huge [11:20] component um of their build. Um [11:22] >> yeah I mean I I I think when you look at [11:24] the physical world applying software and [11:26] AI will look different than what has [11:28] happened in say legal or customer [11:30] service or or any other category where [11:32] you see AI taking off in a in a crazy [11:34] way today. But but to Erin's point like [11:37] many times what you have to do is you [11:39] have to own the asset in order really to [11:42] change that asset. Not every time, but a [11:44] lot of times, you know, kind of showing [11:45] is believing in the physical world. [11:47] Whereas, you know, when you when you're [11:48] purely a digital AI product, you can [11:50] kind of just see it and it's very easily [11:52] transferable and kind of understanding. [11:54] >> You know, what Marion is doing with this [11:55] copper mine is is really impressive in a [11:57] lot of ways. It's not just saying, "Hey, [11:59] we're going to be better at extracting [12:01] copper." It's it's rethinking [12:02] everything. It's [12:03] >> entire process of how you [12:05] >> plan, operate, mine, and refine [12:08] materials. And you know what's cool is [12:11] once you once you own that process end [12:13] to end and are using software at every [12:16] stage of that journey, you actually [12:17] capture that data and then it feeds [12:19] back. Um, [12:20] >> and this is this is an important point. [12:22] I mean this is not just Mariana, but if [12:23] you look at another business like Hrien, [12:25] I mean this is a perfect example of how [12:27] one you can utilize software, you know, [12:29] but but more importantly, um, it's not [12:32] one silver bullet that all of a sudden [12:34] makes a factory or a mine perfect. It's [12:37] actually 15 or 20 different things. And [12:39] when you look at what Chris has done at [12:40] Hrien, you know, yes, it's kind of [12:42] upfront what it takes to like quote and [12:44] even take an order of a part. It's, you [12:46] know, it is the actual physical, you [12:48] know, making of the part. It's how you, [12:50] you know, inspect it and transfer it and [12:51] and, you know, there's there's all these [12:53] different intram steps that exist within [12:55] a factory. And the beautiful thing when [12:57] you kind of either start from a you know [12:59] a fresh slate like Chris has in building [13:01] his factories or in Mariana's case when [13:03] you kind of own the thing and take it [13:05] over you can look at every single node [13:08] from a first principles p perspective [13:10] and say hey was this process that's been [13:12] done the last 100 years the right [13:14] process and that's what's happening [13:15] across every layer of the physical world [13:17] right now. It's not just mines it's not [13:19] just factories. I mean again it exists [13:21] in many different permutations and and [13:23] you know my personal belief and we see [13:25] this in a lot of our portfolio companies [13:27] is look AI will be a phenomenal tool [13:29] that can be used in the physical world. [13:32] The reality is AI cannot turn a wrench [13:34] yet. It will at some point but we're [13:36] we're far off that you know again we can [13:38] maybe have a discussion about the you [13:40] know robotic models and autonomy that [13:41] that that we see in the physical world. [13:43] We're getting we're getting closer. I [13:44] just think the the nuance here and and [13:46] the portfolio companies many that are on [13:48] this list or or many many non-portfolio [13:50] companies on this list that they [13:52] understand that um look the the physical [13:54] world is not about just putting a silver [13:56] bullet forward like I said that some you [13:58] know shiny AI product it's it's it's [14:00] deep understanding of what a process [14:03] looks like you know physically how to [14:05] like you know manipulate the the process [14:07] or how to you know you know change [14:09] something that's happening in the world [14:10] is just going to look different based [14:11] off [14:12] >> well maybe like a specific [14:14] example or to talk through is like um [14:19] like low mix high volume versus high mix [14:21] low volume and how how AI can kind of [14:24] change change the game there. So, you [14:26] know, historically like if you're [14:27] spending a lot and setting up a line [14:29] with a lot of automation, [14:31] >> you really need to produce be producing [14:33] like a lot of one single thing. Mhm. [14:35] >> Um and that's how you get the cost down [14:37] and that's how you justify the cost of [14:39] invest investing in you know a pretty [14:41] bespoke manufacturing line. Um in the US [14:44] we do a lot of lowmix high volume [14:46] manufacturing which is very hard to [14:48] automate because it's very expensive [14:49] when you have to change the line all the [14:51] time. U but what we're seeing across our [14:53] portfolio is that uh manufacturing [14:56] technicians themselves [14:58] are have this have the intuition and now [15:00] have the software tools to be able to to [15:02] to change the economics of what it looks [15:04] like to produce low volume high mix on [15:06] the line. So you can have you know a [15:08] manufacturing technician. This is not [15:10] someone with a college degree. This is [15:11] not someone maybe they are but like not [15:13] necessarily who's like studied software [15:15] engineering is now able to use these [15:18] tools to reprogram and reconfigure their [15:20] manufacturing lines on the fly using the [15:22] fact that they understand the [15:23] manufacturing process and they know how [15:25] to do what they're doing in the physical [15:26] world. they now suddenly have all these [15:28] tools. So they can, you know, you can [15:30] retool a line instead of having to call [15:32] a system system integrator, you know, [15:34] and it takes three months and hundreds [15:36] of thousands of dollars to kind of [15:37] reconfigure a line for a new setup. You [15:39] can have a manufacturing engineer use [15:40] claude and do that in, you know, 20 [15:42] minutes. Um, and so that's been a real [15:44] gamecher across lots of companies that [15:47] we've seen seen in this space. And and [15:49] why that's important is you know when [15:51] you look back at at how we've [15:52] articulated AD50 this year uh you know [15:55] it's it's you know kind of three [15:56] categories and a lot of times what we [15:58] focus on at least you know I have and [16:00] and many people in the in in the sector [16:02] are focused on is just the systems [16:03] companies and look there's a lot of [16:05] really interesting systems companies I [16:07] mean Andrew Sran Castillian I mean you [16:09] know the list goes on and on of who's [16:10] building really good end systems but the [16:13] problem is is if you can't you know uh [16:15] iterate on that on the design and [16:18] iterate on that prototype, you don't not [16:20] only not get to an end system that is [16:22] like, you know, different, better, but [16:24] you also just move at a slower pace. So [16:26] then what happens is by the time you [16:28] finally fix a production level, you [16:30] know, missile or plane or kind of [16:31] whatever, then all of a sudden then you [16:33] got to, you know, go back and rejigger [16:34] and build up all these kind of, you [16:36] know, subsystems in order to meet the [16:37] scale. But if you have, you know, a more [16:39] transferable line, a more adjustable [16:41] line, number one, you can also build the [16:43] prototype faster, but then two, you can [16:45] then, you know, set up each one of these [16:46] different components in a way where it [16:48] actually can get to rate production [16:50] quicker. [16:50] >> Yeah. You're you're designing for you're [16:52] designing for manufacturer from the [16:53] outset. [16:54] >> Exactly. Exactly. And that that is again [16:56] I I keep going back to learnings from, [16:58] you know, Tesla and SpaceX. In a lot of [17:00] ways, they they they had to make those [17:02] choice because they didn't have any [17:03] other opportunity. But in the end it's [17:05] actually just that mantra of design for [17:06] manufacturing that now exists within all [17:08] these systems companies. Um and to some [17:11] extent like we are now in the age of now [17:13] seeing them produce. I mean again like [17:15] go look at what Andrew's built in you [17:17] know in Ohio and uh and now on the east [17:20] coast in in Baltimore you know go look [17:22] at what uh you know Seronica's built [17:24] with the ship. I mean these are massive [17:26] huge facilities that are at some point [17:29] you know in a very soon soon timeline [17:31] going to be producing thousands tens of [17:33] thousands hopefully hundreds of [17:34] thousands of systems. We haven't done [17:36] that America in a long time. [17:38] >> Yeah this is no longer an on paper [17:40] theoretical exercise. Uh this is [17:42] happening in in in the real world and [17:44] and real stuff is coming off the lines. [17:46] something that I think is uh like [17:48] special about AD Founders is they make [17:51] any problem an Elonsized problem. Um and [17:56] and I'd love to I'd love to hear sort of [17:59] that applied to the different industries [18:01] that we're talking about here. Yeah, I [18:04] mean I think when you look at defense [18:06] specifically, uh this has actually been [18:08] one of the most historically hard, you [18:10] know, uh sectors to just build the thing [18:13] that you think the government needs [18:15] because unfortunately and again, you [18:16] know, I I I experienced this in my past, [18:19] you know, when I served in the army, you [18:20] know, the buyer is not the user and the [18:24] b and the appropriator of the dollars [18:25] for the buyer is completely removed. So [18:27] you have all these like disjointed [18:29] decision makers or groups that matter. [18:31] And so what happens is, you know, [18:33] companies, you know, back then we didn't [18:34] really have neopimes or ad companies to [18:36] serve, but what you had is you had [18:38] primes would just sit there and listen, [18:39] like tell me what you want. I'll develop [18:41] the thing after you give me the money. [18:42] And you know, the the age-old problem is [18:44] you get a system that's like actually [18:46] not, you know, technology forward. You [18:48] get a system that was developed for 10 [18:49] years ago and then, you know, the end [18:51] soldier gets something that actually is [18:52] not super valuable to them. What's [18:54] different now back to the like you know [18:56] you can think through an Elon problem [18:58] now is you can say okay what does the [19:01] military actually need and and the [19:02] beautiful thing is you know venture [19:04] capital and what we do at American [19:05] Dynamism but also you know the the rest [19:07] of the capital markets is saying we will [19:09] actually fund that in advance and you [19:11] can build in advance of the government [19:12] saying here's the thing for you to build [19:15] and and and the outcome of that is the [19:17] soldier gets a better product gets [19:19] something that actually fundamentally [19:20] changes the battlefield and you know [19:21] helps with deterrence or security or [19:23] safety [19:23] uh and then more importantly you get a [19:26] time frame of a of a type of system that [19:28] is actually built you know it you know [19:31] aligned with the requirement of the [19:32] market and what technology can do today. [19:35] So it's just it's it's a fundamentally [19:36] different way of like instead of sitting [19:38] and waiting for the government to tell [19:39] you what they want you you the [19:41] government signals and you see it and [19:43] you build an advance by using private [19:45] capital and that just has not happened [19:47] in the history of defense. So you can [19:49] build, you know, like Castellian [19:50] building a a hypersonic missile that [19:52] does a, you know, a not a super [19:55] exquisite thing, but it's really hard to [19:57] build a missile that goes that fast and [19:59] is reliable. And, you know, the [20:01] government, you know, now has given them [20:02] contracts and kind of, you know, showed [20:03] up and and and bought missiles. But if [20:05] you go look at the last three years of [20:07] that business, I mean, it was private [20:08] venture capital. It was, you know, [20:10] entrepreneurs like taking the risk and [20:12] building the thing in advance. I think [20:13] if you see that again and again in [20:15] defense, you're just going to get better [20:16] products and fundamentally like, you [20:18] know, you'll have the neopimes and the [20:20] new companies start to take a lot of [20:22] that market share. But it's not just the [20:23] defense thing. I mean, Aaron sees it on [20:25] energy as well. I mean, we're rewriting [20:28] our entire energy grid right now. And [20:30] we're again like Aaron would know better [20:31] than I would, but like we are in on the [20:33] one yard line. We are just starting [20:37] that process. I I think you know another [20:39] part of it is [clears throat] [20:41] is a little a little more intangible but [20:43] like these are really hard companies to [20:46] build. These are really really hard [20:48] problems to solve. Um you know when I [20:50] talk to Turner who's the CEO of Mariana [20:54] Minerals and you know he's flying all [20:56] he's flying to the middle of nowhere [20:58] places all over the world to build his [21:00] company. he's like out where there's no [21:02] cell phone signal, where there's no [21:03] electricity, you know, touching dirt, [21:06] you know, spending like weeks and months [21:09] away from his family. Um, like it has to [21:13] be worth it. You're building a physical [21:15] thing. You're not sitting at a desk on [21:17] your computer. You're out in the world. [21:20] It sounds kind of sexy and romantic, but [21:22] when you're actually doing it, like, [21:24] it's rough. The travel is really hard. [21:26] the people you're engaging with, you [21:28] know, you're not talking to, you're [21:30] calling up your suppliers. These are not [21:32] like other startups who operate in the [21:34] same kind of time scale and culture as [21:36] you. These are like really tough people [21:39] to negotiate with and work with who, you [21:41] know, have a very different culture. [21:43] >> And if you're going to be putting [21:45] yourself through that, like it better be [21:47] damn worth it. Um, and so I think people [21:52] people really gravitate towards these [21:53] problems that feel huge and enormous [21:56] because they're, you know, these are [21:58] real missionary founders that we see [21:59] building in this space even as even as [22:02] it's kind of heated up and there's more [22:03] capital and it's gotten cool. [22:05] >> Um, it's still brutal. I I I think the [22:08] biggest thing that has changed in [22:10] American dynamism land in the last few [22:12] years is we always knew that the [22:14] companies being built in this category [22:16] were really important to the fabric of [22:18] America. I mean again like when we talk [22:19] about defense systems, when we talk [22:21] about energy, I mean when we talk about [22:23] building, you know, manufacturing [22:24] widgets that go into everything in the [22:26] like that stuff's really important. Like [22:27] it affects our safety, it affects how we [22:29] live our life. But the biggest change is [22:32] those companies weren't just the most [22:33] important thing to us. Now they can be [22:35] the most valuable companies and that's [22:37] like a big distinction that that has [22:39] happened which is you know it's not just [22:41] like you know solving a problem for [22:43] safety or security it's solving a [22:45] problem for safety and security and oh [22:46] by the way those can be some of the [22:48] largest companies that exist in the [22:49] world and and that's what technology has [22:51] changed in these industries I mean [22:53] mining has always been a big big [22:55] industry defense has always been energy [22:57] >> it hasn't been economically worth it for [22:59] a young smart person you know who has a [23:02] lot of ambition to go after these [23:03] categories but I think [23:04] >> companiesactly like Palunteer, Anderl, [23:07] SpaceX have proved that you can build a [23:09] really big business operating in in [23:12] these categories. And if you I mean if [23:13] you look at the you know the top 10 most [23:15] valuable companies in the world like [23:17] that right now like the majority of them [23:18] are hardware companies. They're building [23:20] a physical product. um you know we've [23:22] kind of come full circle and so [23:24] >> you get the most ambitious founders of [23:26] our generation who you know who want to [23:28] run towards that hard problem and know [23:30] it's going to be worth it [23:31] >> and and and the beautiful thing about [23:32] many of these industries like mining or [23:34] you know Riotinto has been around for a [23:35] long time I mean Boeing's been around [23:37] for like I mean you know good companies [23:38] that are building good products but I [23:40] think when you take this you know first [23:42] of all like a first principles [23:43] technology approach about like what the [23:45] audacious thing that needs to be built [23:46] is and then two you get entrepreneurs [23:49] like these these folks that that are on [23:50] this 8050 [23:51] >> like yeah I'm going to rebuild the [23:53] American energy grid that sounds that [23:55] sounds fun [23:56] >> and you just that that that didn't exist [23:58] 50 years ago that didn't exist 5 years [24:00] ago I mean it is something that is [24:01] fundamentally you know our America's you [24:03] know best and brightest are building [24:05] towards this category for the first time [24:07] and then importantly like Erin said like [24:09] the opportunity is there you see these [24:11] examples of these companies that have [24:13] redefined space launch that have [24:14] redefined you know kind of military [24:16] systems have redefined you know all all [24:17] these these categories of American [24:19] dynamism that we care out. Um, and yeah, [24:21] I think it's exciting. I mean, uh, you [24:23] know, as as again, as someone who served [24:25] in the military, you always think of, [24:27] you know, like what you do as something [24:28] greater than yourself. I mean, look, [24:30] like the capital markets exists to, you [24:32] know, make money. Like it's we're we're [24:33] not a charity. This is a capitalist [24:35] society, but in the end, a lot of the [24:37] companies on this 8050 list are doing [24:39] something that is both going to be large [24:41] and valuable, but also going to be [24:42] really inherently important to the [24:44] fabric of America. And that's uh that's [24:46] pretty exciting. What's it what's it [24:48] like to to visit one of these sites like [24:50] a manufacturing site or a mining site or [24:53] you know drone manufacturers those kinds [24:56] of sites like [24:57] >> I mean Connor and I have the best job of [24:59] all time. I did have to I I did I do own [25:01] steeltoed boots now because the number [25:03] of the number of site visits I've been [25:04] to with portfolio companies where you [25:06] where they're like yeah you got to show [25:07] up in steel [laughter] toaded boots. [25:10] >> Um yeah [25:11] >> I mean uh uh it's not all sexy to be [25:14] honest. [25:15] These are these are locations that are, [25:16] you know, a lot of times hard to get to [25:18] in the middle of nowhere. And in the [25:21] end, like we're talking about physical [25:24] things that require, you know, earth [25:26] moving. Like I used to have uh in my [25:28] time in the military, I used to have [25:29] this this kind of senior officer who [25:31] would always tell me like the physical [25:33] world doesn't care about you. So just be [25:35] careful in the physical world. like, you [25:37] know, these are, you know, moving, you [25:38] know, tons of dirt and, you know, [25:40] massive, you know, these factories being [25:42] built out, you know, Hrien or or or what [25:44] AMA will do. Um, I mean, these things [25:46] are huge. Um, and and it's impressive. [25:49] You know, my one of my favorite things [25:50] is maybe you don't see this at the [25:52] remote sites. Maybe you do, but uh uh [25:54] it's this uh kind of running uh [25:57] competition between these companies who [25:59] can have the bigger American flag at [26:00] their site. I actually don't know who [26:02] currently holds that today. Uh, I mean, [26:04] Hadrien's was pretty big last time I [26:05] saw. [26:06] >> I think Valor is pretty big. [26:07] >> Valor's big, too. Okay, good. Yeah. [26:09] Yeah. Yeah. And like again, I mean, um, [26:12] that's that's awesome. Like the fact [26:14] that you have that type of like one [26:16] passion for for something greater than [26:18] just the the product or the the economic [26:20] opportunity that you're building. I [26:21] mean, again, it it drives purpose behind [26:24] a lot of these teams. when you show up [26:25] at, you know, Mariana, when you show up [26:27] at Hrien, when you show up at [26:29] Castellian, like you you literally get [26:30] people who are so passionate about what [26:32] they're doing and and you know, that [26:34] produces really good results. When you [26:36] have to do something really hard in the [26:37] physical world, if you have people that [26:39] are willing to run through walls, [26:40] sometimes literally to solve that [26:42] problem, you're just, you know, you get [26:44] really audacious, great outcomes. One of [26:46] my favorite things to do, you know, is [26:48] uh visit the same company sort of [26:50] multiple times within a 12-month period, [26:53] whether they're in the portfolio or not, [26:54] because you learn a lot by how fast [26:57] >> a factory buildout happens. [26:59] >> And so, you know, that that's one thing [27:01] we do is like we, you know, you don't [27:03] just go once, you go once, and then you [27:04] go three months later, you go three [27:05] months later, you go three months later. [27:07] And like I'm not I'm not a manufacturing [27:08] expert. I spent enough time on the [27:10] factory floor on a factory floor between [27:11] my time at Palunteer and now doing this [27:13] job. Um, you know, I like sort of know [27:16] what some of the machines are and kind [27:17] of like how a line roughly works, but [27:19] like there's just something about seeing [27:21] stuff accumulate in a factory and it [27:24] goes from the process of watching [27:25] something go from like empty warehouse [27:27] with epoxy floors and the big American [27:30] flag and maybe like a couple of pallets [27:31] and the founders just really excited to [27:33] show you their forklift that they [27:34] rented. [laughter] Um, and they're kind [27:36] of like, you know, they're they have the [27:38] basketball hoop set up or like the gym [27:39] set up in the corner to like, you know, [27:41] fast forward six months and it's just, [27:43] you know, they're freaking out about how [27:44] to expand. They're like, "Oh, we need to [27:46] get, you know, the the city out to to [27:48] give us more power because we have too [27:50] many machines plugged in. It's like kind [27:51] of chaos. There's technicians and [27:53] operators everywhere, people building [27:55] stuff." That's really satisfying and and [27:57] and really fun and something I think we [27:59] we're lucky to get to see that journey [28:01] and and and how quickly that can happen. [28:03] >> Yeah. Has anyone ever done like a time [28:05] lapse of uh [28:06] >> Oh, there's a lot. It's a whole That's a [28:08] whole like category of film making and [28:10] everyone kind of compares theirs and [28:12] it's like a, you know, a bit of a [28:14] >> I do I do like the gym thing. I remember [28:16] when I when I first visited many years [28:18] ago, Isaiah and the Gundo, uh he made me [28:21] do a rep on his uh on his [28:23] >> Yeah, they they all they all have like [28:25] they all they all have their bench press [28:26] set up, [28:27] >> which is cool. Is is there a like a [28:30] contagion effect to things being made in [28:32] America where it's like oh because the [28:34] actuator is made here now we can make [28:37] this and now we can make that and sort [28:40] of when you're able to compress one [28:42] timeline you can compress multiple [28:44] timelines. [28:45] >> I don't even think it's just timeline. I [28:46] also think it's cost and quality. I mean [28:49] it's interesting because when we look at [28:51] defense autonomous systems in particular [28:53] like looks making a lot of boats. [28:55] Covenant's making a lot of missiles. [28:57] Castillian's making a lot of missiles, [28:58] you know, Andre's making a lot of [29:00] things. Like when you build many [29:02] systems, you also require many [29:04] subsystems below that. And you know, [29:05] again, like there are really interesting [29:07] military systems being built today. The [29:09] the the correlary though, back to the [29:11] comment we had earlier, is like, you [29:13] know, by building towards defense, you [29:15] also build for a different industry. We [29:17] actually don't have a lot of humanoids [29:19] or robotics that exist in the world [29:20] today. I mean there are thousands maybe [29:23] I don't know the exact number but when [29:24] you think about the the subsystems that [29:26] go into some of our military systems [29:28] it's the exact same subsystems that are [29:30] going to go into the future robotic [29:31] systems it's the actuators like it's the [29:33] motors it's the you know you know valves [29:35] and switches and those type of things [29:37] and I think when you can build those to [29:38] quality and to cost then all of a sudden [29:41] you make other markets that maybe [29:43] weren't viable or real all of a sudden [29:46] makes sense and again I think that's [29:47] going to happen in the robotics world [29:49] which is you know We're going to spend [29:51] all this time on development of all [29:53] those subcomponents. We're going to [29:54] build for a lot of these military [29:56] systems, which is good. We need it for [29:57] security and safety and deterrence, but [29:59] then all of a sudden you're going to [30:00] have this, you know, kind of robotic [30:01] wave that will come in America. I said [30:03] it, you know, AI can't turn a wrench [30:05] yet. They can. They will eventually. Um, [30:07] and that will be enabled by all that, [30:10] you know, actuators and switches and [30:11] subsystems that we built. It's going to [30:13] serve a different market and and it's [30:15] going to make it, you know, financially [30:16] viable and we're not going to have to [30:18] rely on factories in China. And and [30:19] again I think that is that is net good [30:21] because you know as you build an [30:23] industrial base an industrial base can [30:25] be used for many things and you know [30:27] down to the component level you know I I [30:29] just think we don't have enough of it in [30:31] America and it it's a it's a decision [30:33] like you talk to a robotics company [30:34] today that wants to build you know some [30:36] robotic deployment there's a 99% chance [30:39] that majority of what they are buying is [30:41] coming from China and some [30:43] >> they for many reasons not just [30:45] geopolitical want to onshore that [30:49] purchasing for quality, cost, speed of [30:51] iteration um yeah and geopolitical [30:54] reasons. I think like one thing it you [30:57] know it's really over the last three [30:59] years even just it's remarkable how much [31:03] of a supplier ecosystem has developed [31:06] like [31:08] >> one of the companies in our portfolio um [31:10] you three years ago would order two [31:13] times the number of PCB boards PCBs that [31:16] they needed because they assumed that [31:18] they would have to throw 50% of the them [31:20] away for quality issues. They would get [31:22] the batch from their supplier. they [31:24] would do the testing and 50% of them [31:26] wouldn't pass a quality test. Um, you [31:28] know, then startups have emerged in this [31:30] category and are like, we're going to [31:31] fix this problem. We're going to use, [31:33] you know, software and modern technology [31:34] to, you know, redo the way PCBs are [31:37] manufactured in the US. We're going to [31:38] do it faster. We're going to do it [31:39] cheaper. And guess what? We're going to [31:41] do it better. Uh, and you know that now [31:43] that same company um buys you know PCBs [31:46] from new suppliers and you know they're [31:48] keeping 70 80 90% uh passing quality [31:51] test. So it's I think like we [31:54] underestimate how much the you know [31:57] close collocation and co-development of [32:00] some of this technology with um the end [32:02] customer and their suppliers really [32:03] matters to to drive quality higher. [32:05] >> So something really interesting is [32:07] happening. I I believe in the industrial [32:08] base. Uh like we talked about earlier, [32:10] you get this top town demand signal from [32:13] these new systems companies like we're [32:14] building new military systems but oh by [32:16] the way like you know Joby and Archer [32:19] we're building new planes too like we're [32:20] building new end systems that that is a [32:22] fact like cars are are being built [32:24] different planes are being built [32:25] military systems are being built [32:26] different when you build these new [32:28] systems inherently the inputs of those [32:30] systems need to change as well and when [32:32] you look at the industrial base in [32:34] America today like historically if you [32:36] go look at how Boeing makes a 737 you [32:38] know Boeing's a a company important to [32:40] the fabric of America, but they just [32:41] pick up the phone and they call [32:42] Honeywell and Honeywell helps them kind [32:44] of build all the different subcomponents [32:46] and it's not Honeywell's fault. But what [32:47] Honeywell does is they say, "I don't [32:49] want to build a new landing gear again. [32:51] We have this landing gear that meets the [32:52] spec and does the thing. So, let's just [32:54] keep going and doing that same thing [32:55] again and again and again." It's [32:57] rational. Like, you know, they're going [32:58] to build more 737s. They're going to get [33:00] paid the same way if it's a for 50-y old [33:02] landing gear or if it's a new landing [33:04] gear. The problem though is when you [33:06] keep iterating on these new requirements [33:08] for end systems, at some point the [33:11] 50-year-old subsystem just doesn't work. [33:14] And maybe it it it physically works in [33:16] in terms of meets the requirements, but [33:18] it's been designed and it's been [33:19] developed in a way that inherently uh [33:22] you know, we haven't innovated on it. [33:25] And and and why does that matter? It's [33:27] because you know, we've developed new [33:29] materials. like yes physics hasn't [33:31] changed but but the inputs to the [33:32] physics and the inputs to that design [33:34] has changed. So I think what's happening [33:36] or what with the opportunity for a lot [33:38] of these manufacturing companies is to [33:40] do what I call co-engineering and you [33:43] know we talked about you know the long [33:45] tale of these like subtier uh you know [33:47] uh suppliers they they they've been in [33:50] receive mode for the last 40 years. [33:52] Honeywell's picked up the phone and [33:53] they've said hey I need another landing [33:54] gear. Go make that landing gear. and [33:56] they've executed on the specs with that [33:58] IP and building it. When you want a new [34:00] requirement, uh that middle layer [34:03] cannot, you know, think on behalf of [34:05] Honeywell and change the requirement [34:08] because again they're not in the [34:09] position to do it. But I think what's [34:11] going to happen in the future is you're [34:13] going to have this middle layer of [34:14] supply companies that you know will [34:17] effectively be co-engineers with the N [34:20] OEM of rethinking not just what the end [34:23] system can do by way of speed or kind of [34:26] you know weight or mass but the [34:29] individual subcomponents will be [34:31] rethought will be re-engineered and will [34:33] be rebuilt and so you know the end [34:35] system will change from a top level the [34:37] the the the individual parts and [34:39] components will and and I think that [34:41] just hasn't happened in the last 40 or [34:43] 50 years. So, you're going to see a [34:45] completely new wave of what I believe [34:47] like will be called like the [34:49] manufacturing middle. Uh that will be, [34:51] you know, co-engineering and pushing uh [34:54] design and development upward in the [34:56] supply chain as opposed to just being in [34:58] receive mode and saying, "Okay, I can [35:00] build the same thing I built 40 years [35:02] from now." And I just I I think that's [35:04] an opportunity. I mean, I defined it, [35:06] you know, previously as like we're [35:07] creating the American manufacturing [35:09] asset class right now. I mean, it, you [35:11] know, private equity has been playing in [35:13] this ecosystem for a long time and [35:14] looking at an asset and buying it and [35:16] improving the cost and, you know, [35:18] selling it off. Again, that's not [35:19] fundamentally changing the things that [35:21] we build. Right now, companies will [35:23] change the the the different things that [35:25] we'll build. [35:26] >> A good example of this is kind of the um [35:28] on the on the grid. And when you think [35:30] about sort of like the electronic stack, [35:32] >> um, and we're about to go through a huge [35:35] step change in how we manage and [35:37] transfer power on the grid, moving from [35:39] a system of sort of static and [35:41] mechanical systems that were deployed in [35:44] large scale across the US in like the [35:45] 70s and 80s to now sort of modern power [35:48] electronics, battery storage [35:50] architectures which are much more [35:51] software native and flexible and you [35:55] know that is is just when you have a [35:56] such a complete step change in [35:59] technology where the technology that's [36:01] replacing the previous thing is just [36:03] completely different. you have this [36:05] opportunity to rethink the entire supply [36:07] chain behind that and the way all of [36:09] that design and engineering work happens [36:11] >> and and in the energy world is the same [36:12] thing that's happening in the defense or [36:14] the the commercial systems world which [36:15] is you have this massive amount of [36:17] demand for you know data centers and you [36:19] know new factories and new build when [36:21] you get this top down level you have the [36:23] ability to innovate like Aaron's talking [36:25] about and rethink the entire [36:26] architecture and look like [36:28] >> because it's a completely new [36:29] architecture so you know you can't rely [36:31] on these components that worked in the [36:33] previous worldly to just reconfigure [36:36] like you actually have the opportunity [36:37] to rethink that from the ground up. [36:39] >> And another important point here is like [36:41] you know you could be pessimistic and [36:42] you can say okay Connor all these new [36:45] military or end systems like not all of [36:47] them are going to be adopted so like [36:48] that that top down demand or or or or [36:51] Aaron like we're not actually going to [36:53] increase energy by four times like [36:55] there's not going to be that much [36:56] demand. I actually don't think it [36:58] matters because I think once you start [36:59] the snowball of the demand cycle moving [37:02] in one way even if you deliver half of [37:04] that you know uh requirement [37:06] >> you're not going back [37:06] >> you're not going back and it doesn't [37:08] make financial sense and again it's it's [37:10] like when you rethink something first [37:11] principles and you make the like new [37:14] design new engineering decision and a [37:16] lot of times that comes with better cost [37:17] better efficiency you're just going to [37:19] buy that thing now going [37:20] >> better serviceability easier to [37:22] manufacture [37:23] >> yeah yeah you're never going back [37:26] >> I'm curious Curious kind of what you're [37:27] seeing in terms of founders being second [37:31] generation Anderole or second generation [37:33] Palunteer or something like that and [37:36] maybe they they see some of these [37:37] learnings and they see the opportunity [37:39] to be the middle layer supplier in some [37:44] something that has never been touched [37:46] since you know decades ago and and kind [37:49] of like what what are you seeing in [37:51] terms of you know those opportunities [37:54] and those kinds of founders? Yeah, for [37:56] sure. I mean, if you you get a great way [37:58] to light a fire under an entrepreneur is [38:00] for them to be banging their head [38:02] against the wall on a sort of [38:04] engineering or supply chain problem [38:05] where they are and then they're, you [38:07] know, they're like, "Well, okay, I [38:08] really care about this. This is a a pain [38:10] in my ass. I know it's I know it's [38:12] bothering other people. I know it's a [38:13] problem that I don't just have here at [38:15] Ander or SpaceX or Tesla. It's a problem [38:17] more broadly. I'm going to go solve that [38:19] more generally." um and the kind of [38:21] lineage of founders that have sort of [38:22] lived and breathed this on the [38:24] manufacturing floor and not just [38:25] founders but even engineering teams who [38:27] are like I saw this problem I solved [38:28] this you know within Andre or Seronic or [38:31] whatever and I'm going to actually like [38:33] go out and build this as a company and [38:34] then I'm going to you know I know [38:36] everyone in the ecosystem so I'm I I [38:38] have you know automatic access to a [38:41] customer base that's captive um you know [38:44] we certainly see that trend happening [38:46] and you know this is how ecosystems get [38:48] built like people make fun of YC see for [38:50] all YC companies kind of selling to each [38:52] other. But like that's how it works [38:54] because you have, you know, it's it's [38:56] your friends. They're tolerant. They're [38:58] understanding. They're willing to like [39:00] work with you and help you and and you [39:01] know, put up with something breaking [39:03] because they're working on their own [39:05] really really hard problem. And if you [39:06] know the thing you're doing is not the [39:08] most existential thing to them, they're [39:09] like very willing to outsource it to [39:11] you. That's beautiful. That's how [39:12] Silicon Valley was built. And what's [39:14] really like what makes me really [39:16] optimistic is the extent to which we're [39:18] starting to see that in these kind of [39:19] physical world ecosystems and supply [39:21] chains. [39:21] >> Yeah. I I I think that the few companies [39:23] you mentioned, you know, the SpaceX's, [39:24] the Palunteers, um look, they weren't [39:27] overnight successes. Like those [39:28] companies took a long time to get to [39:31] both the product scale and just the the [39:33] size and success of the company that [39:34] they're at. [39:35] >> Overnight successes that took 20 years. [39:37] >> Exactly. I mean, and I think the the [39:39] learning point and you know, we invest [39:40] and a lot of the entrepreneurs on this [39:42] list like come come from those [39:43] ecosystems is you just learn this like [39:46] relentless focus to do the one thing as [39:49] well as you can, you know, down a path [39:52] until you've succeeded. And like, you [39:53] know, I've I've seen this with with the [39:55] Castellian guys, for example. It's like [39:57] they focused for two and a half, three [39:58] years on the first hypersonic missile [40:00] that was really hard to build. And, you [40:02] know, other people showed up, oh, be [40:03] multi-product, go build this small drone [40:05] here. and they're like, "No, we need to [40:06] do this one thing really well." And I [40:09] think, you know, that comes from the [40:10] fabric of SpaceX. Like at SpaceX, the [40:12] concept of being a responsible engineer [40:13] and like if this thing doesn't work, [40:16] like it's my ass. I'm going to make sure [40:18] like [laughter] I'm going to obsess over [40:19] this thing and again and again. Like [40:20] that's what it takes to build really [40:22] hard things. And again, like, you know, [40:24] there will be different, you know, [40:25] derivations of of success. Not everyone [40:27] will think just like the SpaceX mindset, [40:29] but if you look at a lot of these [40:30] businesses like that, you know, in the [40:32] physical world, you kind of need to do [40:33] that to build something really hard. [40:35] >> And but what what you do in doing that [40:37] is you learn, you know, you learn that [40:39] process knowledge. You learn how to do [40:41] it. And so think two, thing three, think [40:43] four [40:44] >> are a lot easier. You've developed a [40:46] supply chain. You have your [40:47] relationships. You've developed [40:48] manufacturing for design for [40:50] manufacturer processes. You know, you've [40:52] learned how to build a factory to a high [40:54] quality, high spec. you've learned how [40:55] to build that trust with customers and [40:57] so if you can do that one thing really [40:58] well [40:59] >> that sets you up to do other things [41:02] really well but it doesn't work unless [41:03] you deliver on that on that one core [41:06] thing [41:06] >> uh so we talk a lot about competition [41:09] China what does the United States do [41:12] uniquely when it comes to our capital [41:13] markets that that really enables these [41:16] startups [41:16] >> well I I I think this may arguably is [41:18] one of I mean Brian Shimp was talking [41:20] about it the founder of Android you know [41:22] a couple days ago which is this concept [41:23] that you know we of literally trillions [41:25] of dollars of private capital in our [41:27] capital markets that inherently follow [41:30] you know success follow both technology [41:32] success and and you know to some extent [41:34] like production success as well and I [41:36] think if you look at the United States [41:38] um number one like we do not have a top- [41:41] down directed you know uh industrial [41:43] policy that says the state will put this [41:45] amount of money in in this and I think [41:47] to some extent that's a good thing [41:48] because the money will follow the [41:50] entrepreneur the money will follow the [41:52] success I think that the the distin [41:54] distinction though we've kind of always [41:55] had a good capital markets in the United [41:57] States. I think the distinction is the [41:59] capital markets all of a sudden have [42:00] said you know what the category of ad is [42:02] really interesting and and you know [42:04] Aaron and I you know have been living [42:05] and breathing this for a long time but [42:07] if you go look you know not just up and [42:09] down you know Silicon Valley and San [42:10] Hill Road but if you go to you know the [42:12] major banks I mean JP Morgan has has [42:14] committed you know trillions of dollars [42:16] towards you know both investing in the [42:17] physical world not just defense but [42:19] factories and and other things in the [42:20] physical world and you see that again [42:22] and again and again across not just our [42:24] our venture capital firms but you know [42:26] private private equity now is is is is [42:28] starting to play in this category in a [42:29] big [42:30] >> big credit firms [42:31] >> big credit firms and and and that's so [42:33] important because you know the the the [42:35] reality is many of these companies in in [42:37] the AD world they require a lot of [42:39] capital when you build physical systems [42:41] when you build a Falcon 9 rocket or when [42:43] you build a CCA and you build a Blackird [42:46] missile um those are expensive [42:48] inherently to build up those lines and [42:49] build that physical system. So I I think [42:51] part of this is you know the capital [42:53] markets you know speak with you know [42:55] where the success happens and the [42:57] reality is is it's the capital markets [42:59] are not top down driven by our [43:01] government unlike China's and and what [43:03] that allows is that allows us to be far [43:05] more flexible uh you know again to [43:07] follow success like I said and then more [43:08] importantly um to fund things in advance [43:11] of it being obvious and and we talked [43:13] about that earlier the concept of [43:15] building in advance of the requirement [43:17] the need you know maybe we're a little [43:20] bit late on the energy side maybe a [43:21] little bit late on on some of the [43:22] defense systems. But look, the capital [43:24] markets have woken up and we're we're [43:26] putting hundreds of billions of dollars [43:27] if not trillions of dollars, you know, [43:28] you know, towards this category for the [43:30] next, you know, 10 plus years. [43:31] >> Yeah. I mean, if you look at just the [43:32] first half of 2026, more uh more risk [43:36] dollars went into the defense ecosystem [43:39] than all of last year combined, which [43:41] was many times what went into the [43:43] defense ecosystem in all of the previous [43:45] year combined. And I think historically [43:48] there's, you know, in defense [43:49] specifically, for example, there's been, [43:50] you know, a narrative around the valley [43:52] of death and like how do you get the [43:55] government contract to like propel you [43:57] through this period um of needing to [44:00] build out capex and and what's really [44:02] exciting is that almost that that that's [44:05] starting to disappear with the support [44:07] of of capital markets and and and of [44:09] risk and of risk capital. And that's [44:11] certainly extending even beyond the [44:13] defense ecosystem to energy and robotics [44:15] and critical minerals and some of these [44:17] other sectors that are really important [44:19] which is super super exciting to see. Um [44:22] yeah, [44:23] >> I had one question. And I'm not sure if [44:24] it's too much of a tangent though. Just [44:27] um there's that very famous chart of [44:29] like US power production versus like [44:33] China new new power new energy [44:35] production like America's line is like [44:38] basically flat and China's is you know [44:40] up and to the right like like I I guess [44:43] some question uh around like like what [44:46] would it take to close that gap or how [44:49] how fast can we build new power? Yeah, I [44:52] I don't think that is I don't think that [44:54] that is a um technology problem. I think [44:58] that that's a we need to do some [45:00] soularching about our will as an [45:02] American people and do we want [45:04] conforming projects to be built? Do we [45:06] want to grow? Um and if we do, I think [45:09] the the the technology and the capital [45:11] will follow. [45:12] >> Yeah. And it it's funny because you know [45:15] this is not just an energy problem. It's [45:17] you know it's it's an everything [45:18] problem. [45:18] >> It's an everything problem. and and and [45:20] look I you know we're we're optimists [45:23] inherently I do think that snowball has [45:25] started to roll. I think the question is [45:27] you know back to our discussion on [45:28] capital markets earlier uh will will [45:31] there be emergent winners in these [45:33] categories that then fuels more capital [45:35] to flow into the ecosystem and you know [45:37] it's this kind of self-fulfilling [45:38] prophecy that happens like you know yeah [45:40] if you build it you know that you know [45:42] they will come but at some point there [45:43] needs to be a pot at the end of the [45:44] rainbow and if there is for a few [45:46] companies I think you know one capital [45:48] will fall like I mentioned but but I [45:50] think the last thing I'll say just real [45:52] briefly is uh anything in the physical [45:55] world takes time. Um, you know, we we, [45:57] you know, to set up a factory, you know, [45:59] at a scale where really you either [46:01] affect our our power generation or you [46:03] affect our military systems or or you [46:05] name it. You can't take a couple of [46:08] engineers, you know, throw them in front [46:09] of a a couple servers and computer [46:11] screens and come up with an answer. I [46:12] mean, it's it's moving dirt. It is [46:14] physically understanding a supply chain. [46:16] Like, these things take years. And so, [46:18] you know, there's a little bit of [46:19] patience that we need to have in the [46:21] capital market side, but again, I I [46:23] think I'm optimi optimistic. I think [46:24] it's happening and you know to some [46:26] extent like it's ours to lose like it's [46:28] ours as a government and a nation to to [46:30] mess up and to get in the way of this [46:32] and that's a risk don't get me wrong but [46:34] >> I do think it's I do think it's another [46:36] uh long will be another long-term [46:38] benefit of capital markets even if it's [46:40] short-term painful just people need to [46:42] feel I mean you mentioned that these are [46:45] physical things they take time they're [46:47] also physical things in that they have a [46:48] physical manifestation to the people and [46:50] communities that live around them and [46:52] the most important thing is that you [46:55] know American society at large feels [46:57] like they're participating in the [46:58] economic growth that's coming as a [47:00] result of this development. Software you [47:03] know was sort of like had this ability [47:06] to be sort of siloed because it really [47:07] existed in just a few cities. It was [47:09] kind of this virtual thing. you sort of [47:11] experienced it in the way that your your [47:14] interaction with digital services got [47:16] better a lot better over the last 20 [47:18] years but it you know it it was a little [47:19] bit more it was a little bit more [47:21] abstract physical world like someone's [47:22] building a data center a power plant a [47:25] mine in your backyard um and you need a [47:29] you know you you have a say and you have [47:31] a stake in that you phys you physically [47:34] see it it affects your life and if you [47:35] don't feel like you have participation [47:37] in that economic upside it's hard I do [47:40] think that this is one thing that the [47:41] capital markets longterm will solve [47:42] really well because companies will [47:43] figure out how to bring communities [47:45] along for the journey and make it [47:46] financially and economically worth it [47:48] for them. [47:48] >> And I think there are some good examples [47:49] of that. A few companies on the AD50 [47:51] list who like, you know, build real [47:52] things in their communities and show up [47:54] the right way. There are also bad [47:55] examples that have existed in the last, [47:57] you know, few years. I mean, if you look [47:58] at what AMA does, like they show up to [48:00] these these really small machine shops [48:03] that exist. They partner with them, you [48:05] know, they don't they don't uh, you [48:06] know, cut the management and fire [48:08] people. They say, "How can we build new [48:10] products?" and grow the kind of you know [48:12] business that you have today. And it's [48:14] that type of uh you know concept of [48:17] working with communities as opposed to [48:18] working against them that I think we [48:20] still need to you know wrestle with a [48:21] little bit uh in in the tech world and [48:23] understand that just because we sit in [48:25] Silicon Valley I mean we we we don't [48:27] understand everything that's happening [48:28] in the world and you know fundamentally [48:30] I think a lot of these 80 companies will [48:33] build stuff that that touches middle [48:34] America. I mean it will physically exist [48:36] in middle America and you know I I I [48:39] think that's net good. I think that [48:40] means more jobs, more prosperity. I [48:42] think that means more energy and [48:43] abundance world where you know we have a [48:46] safer America and [48:47] >> less concentration of wealth in these [48:49] pockets in these elite pockets on the [48:51] coast. It's a good thing. [48:52] >> Yeah. [48:52] >> But it will take time. [48:54] >> Yeah. Well, Erin Connor, thank you so [48:56] much for joining. Uh and everyone can [48:58] check out the 8050 list today. [49:00] >> Awesome. Thanks. [49:01] >> Awesome. Thanks so much.