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The American Dynamism 50 is a16z's annual list of companies building for America's future. This year's edition covers the industrial base end to end, from the inputs that come out of the ground to factories that make things and systems that deter conflict. a16z's Erin Price-Wright and Connor Love join Elena Burger to break down this year's list and its theme, Production is Deterrence, built around a simple idea: "You don't have a defense industrial base without an industrial base." 0:50 From mines to factories and systems 3:05 How the internet and nuclear was built 5:05 Drones built DJI into a robotics giant 6:50 Defense dollars pay for new factories 8:30 SpaceX and Tesla lessons on scale 10:15 How Mariana runs a mine on software 12:20 "AI cannot turn a wrench yet" 14:10 Retooling in 20 mins, not 3 months 17:45 Startups build before Pentagon asks 20:35 Why hard tech can be more valuable 24:45 The race for the biggest American flag 28:25 How defense parts unlock US robotics 32:05 The rise of the "manufacturing middle" 37:25 Anduril and SpaceX founder mafias 41:05 Private capital: USA's edge over China 46:30 The buildout must hit Middle America YouTube: https://youtu.be/cRJ7CfaK1Vc @espricewright @ConnorLoveCA @VirtualElena

The 2026 American Dynamism 50 is here: our annual list of 50 companies, from within the a16z portfolio and beyond, building for America's future. This year's theme is Production is Deterrence. "America's ability to prevent conflict depends on what it can build, how fast it can deliver, and how long it can keep going." A new generation of defense companies is moving from prototypes to full-scale production, and the industrial base has to keep pace. This year's list is organized around three pillars: 1. Systems: the drones, ships, missiles, aircraft, and spacecraft that deter conflict. 2. Factories: the plants, tools, and software that build them. 3. Inputs: the materials and power they're made of and run on. Get all three right, and the impact reaches well beyond defense, to skilled jobs, revitalized communities, and the supply chains behind energy, housing, and everyday goods. Meet all 50: https://www.a16z.news/p/ad-50-2026-production-is-deterrence

Mark Cuban scaled Cost Plus Drugs from about 100 generics to roughly 4,000 at a flat 15% markup, forcing incumbents to change prices in ways decades of policy never did. He thinks AI could transform healthcare, but it won't fix opaque prices and broken incentives on its own. Mark sits down with a16z's Julie Yoo and Erik Torenberg to discuss what he's learned building Cost Plus Drugs, why trust is its core product, and how greater transparency could put pressure on healthcare costs. They also explore why drugs designed for your DNA could cost close to nothing, the football field-sized drug plant his team shrank into tractor trailer-sized pods, his plan to make generics in Dallas for less than he pays manufacturers in India, and why every company will either be great at AI or go out of business. 0:50 Cost Plus beat decades of policy 3:15 111 generics to 4,000 drugs 5:00 A drug plant shrunk to 5K sq ft 5:55 $20M drug factories in a trailer 8:10 Hospital deals with zero denials 9:50 Why health plans are rigged 14:05 1,335 pages no human can check 18:35 "Where are they f**king me over?" 22:45 Making drugs cheaper than India 26:50 Why you still need entry-level hires 31:45 Nonprofit hospitals must offer aid 35:55 DNA-matched drugs for near $0 39:30 Why AI will mean more doctors 48:00 Mark's plan: "bye bye insurers" 52:25 Why AI labs' ads are useless 56:35 Get good at AI or go out of business YouTube: https://youtu.be/5UWDUD6qaM4 @mcuban @julesyoo @eriktorenberg

Bloomberg: "A new anxiety is gripping Wall Street as it bankrolls the vast network of data centers and chips behind the artificial intelligence boom: Early signs suggest that the credit market is approaching the limits of how much more debt it can absorb. One after another, yields are soaring into the double digits on bonds and loans funding the AI infrastructure buildout. Bankers are finding it more difficult to offload risk to insurers and other investors." #economy #markets #debt #ai #ArtificialIntelligence #bonds

A lot of ink has been spilled on GPU financing lately. I spent over a decade trading ABS on Wall St, and structured over $2B+ of debt financings as an operator (including at @tryramp). Figured I'd try to make sense of this market, so I went back to a framework I knew well: aircraft ABS and aircraft engine ABS. My take: a GPU neocloud runs on airline economics, and the debt behind it looks a lot like aircraft engine ABS. The parallels: • Perishable inventory. An empty seat after the door closes is gone forever. So is an idle hour on an energized H100 rack. • 85%+ of cost is fixed (servers, 10-year rack leases, 10-14% debt service). One more hour of compute costs pennies of power. • Utilization is everything. Airlines break even around 80% load factor, a levered GPU cluster around 65-75%. The returns live in those last 25 percentage points. • NVIDIA is Boeing and Airbus rolled into one. Powered shells and grid interconnects are the new airport slots. • Wall St copied the aircraft financing playbook: take-or-pay contract plus servers in a bankruptcy-remote SPV, 70-80% LTV. Part 1 of my blog post goes into a lot more detail: http://alexyangsong.com/blog/aluminum-to-silicon/

https://x.com/i/article/2115078093488709632

NEW Ramp data: Opus 5.5 has somewhat reaccelerated demand for Anthropic, but it might not be enough. Spend on Anthropic models remains 1.6% below its July peak, according to Ramp data. Opus 5.5 now accounts for 63% of Anthropic spend, so frontier models do matter. The idea that AI is already "good enough" is probably overrated as a concern IMO. But price cuts / competition at all intelligence levels are still the most significant threats to AI model companies, and continue to form cracks in the AI thesis.