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All-In with Chamath, Jason, Sacks & Friedberg

CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer

94 min episode · 3 min read
·

Episode

94 min

Read time

3 min

Topics

Investing, Startups, Fundraising & VC

AI-Generated Summary

Key Takeaways

  • ✓CoreWeave Debt Structure: CoreWeave's "box" financing model isolates each GPU deployment contract — pairing a customer commitment (e.g., Microsoft) with asset-backed debt — so corporate-level bankruptcy is structurally unlikely. However, the company still needs to raise an additional $35B to finance remaining contracted capacity, and rising risk-free rates are pushing borrowing costs from 8.5% toward 15%, compressing margins to within roughly $5B of debt covenant violations.
  • ✓Payback Period as North Star Metric: For neo-cloud infrastructure businesses, payback period is the single most predictive risk metric. CoreWeave's current payback is 2.5 years on 5-year contracts; SpaceX's xAI cluster achieves roughly 1 year by selling at spot pricing (~$50B per gigawatt vs. CoreWeave's ~$20B). Investors should monitor payback period elongation as the earliest warning signal of deteriorating unit economics before revenue or EBITDA metrics reflect the problem.
  • ✓Spot vs. Fixed Contract Arbitrage: CoreWeave locked in fixed-price, long-term GPU contracts while spot GPU pricing has surged dramatically due to scarcity. This creates an estimated $20–30B revenue gap between contracted rates and current spot market value. Chamath argues CoreWeave should pay contract termination penalties now, convert available capacity to spot pricing, and capture that spread — potentially adding billions directly to the bottom line and reducing covenant breach risk.
  • ✓Anthropic IPO Sizing Strategy: Anthropic is targeting a $2T IPO valuation to raise roughly $80B. Chamath argues this is structurally insufficient: the company needs $200–250B in capital to self-finance 5–10 gigawatts of compute through a potential 2–3 year market correction, avoiding dependence on expensive spot pricing (which runs ~$50B per gigawatt vs. ~$20B via structured financing). Raising less at a higher valuation trades short-term optics for existential financing risk.
  • ✓AI Bespoke Software Expansion (Jevons Paradox): Coding assistants are not eliminating software developer demand — they are expanding the total addressable market for software itself. Enterprises previously unable to justify custom software development are now building bespoke tools, vertical agents, and internal applications. Demand for developers who can manage AI-generated code is rising even as 95% of code is AI-written. The net effect is deflationary on per-unit software pricing but expansive on total software volume and developer employment.

What It Covers

Chamath, Sacks, Jason, and guest Ben Horowitz analyze CoreWeave's bond market stress — with yields spiking to 15% and credit default swaps implying a 55% five-year default probability — alongside Anthropic's IPO signals, AI sector deflation risks, Anthropic's regulatory fear campaigns against open-source models, and Bill Gates's AI doomerism motivations.

Key Questions Answered

  • •CoreWeave Debt Structure: CoreWeave's "box" financing model isolates each GPU deployment contract — pairing a customer commitment (e.g., Microsoft) with asset-backed debt — so corporate-level bankruptcy is structurally unlikely. However, the company still needs to raise an additional $35B to finance remaining contracted capacity, and rising risk-free rates are pushing borrowing costs from 8.5% toward 15%, compressing margins to within roughly $5B of debt covenant violations.
  • •Payback Period as North Star Metric: For neo-cloud infrastructure businesses, payback period is the single most predictive risk metric. CoreWeave's current payback is 2.5 years on 5-year contracts; SpaceX's xAI cluster achieves roughly 1 year by selling at spot pricing (~$50B per gigawatt vs. CoreWeave's ~$20B). Investors should monitor payback period elongation as the earliest warning signal of deteriorating unit economics before revenue or EBITDA metrics reflect the problem.
  • •Spot vs. Fixed Contract Arbitrage: CoreWeave locked in fixed-price, long-term GPU contracts while spot GPU pricing has surged dramatically due to scarcity. This creates an estimated $20–30B revenue gap between contracted rates and current spot market value. Chamath argues CoreWeave should pay contract termination penalties now, convert available capacity to spot pricing, and capture that spread — potentially adding billions directly to the bottom line and reducing covenant breach risk.
  • •Anthropic IPO Sizing Strategy: Anthropic is targeting a $2T IPO valuation to raise roughly $80B. Chamath argues this is structurally insufficient: the company needs $200–250B in capital to self-finance 5–10 gigawatts of compute through a potential 2–3 year market correction, avoiding dependence on expensive spot pricing (which runs ~$50B per gigawatt vs. ~$20B via structured financing). Raising less at a higher valuation trades short-term optics for existential financing risk.
  • •AI Bespoke Software Expansion (Jevons Paradox): Coding assistants are not eliminating software developer demand — they are expanding the total addressable market for software itself. Enterprises previously unable to justify custom software development are now building bespoke tools, vertical agents, and internal applications. Demand for developers who can manage AI-generated code is rising even as 95% of code is AI-written. The net effect is deflationary on per-unit software pricing but expansive on total software volume and developer employment.
  • •Anthropic's Open-Source Fear Campaign Pattern: Anthropic has run two coordinated regulatory pressure campaigns in 2025: first claiming Chinese model distillation constituted IP theft requiring government intervention, then publishing research suggesting small AI models could self-replicate across IoT devices. In both cases, Anthropic's own technical fixes (KYC-based distillation detection, eliminating 90–99% of distillation) proved the government intervention unnecessary. Investors and policymakers should treat Anthropic safety blog posts timed near competitive or regulatory inflection points with skepticism.
  • •Energy as the Defining AI Moat: The binding constraint on AI infrastructure through 2028 and beyond is not GPUs, capital, or talent — it is power. Amazon's Andy Jassy confirmed compute availability is sold out past 2028. The US faces a 1.4 terawatt-hour electricity deficit by 2050 even assuming all planned generation comes online on schedule. Startups and enterprises that secure land, power contracts, and physical data center shells now will hold a structural competitive advantage that capital alone cannot replicate later.

Notable Moment

Ben Horowitz revealed that when Andreessen Horowitz tested Anthropic's Claude Opus 4.5 for cybersecurity vulnerabilities — setting up a simulated pet store website and then tasking an agent to exploit it — the model immediately executed a successful SQL injection attack and extracted all customer data. When they reported this to Anthropic, the company's response was that the firm had prompted it incorrectly.

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Episode Transcript

Alright, everybody. Welcome back to the number one podcast in the world. Actually, you you manifested. We actually were number one. How good was that? Literally number one last week. Only took a only took a little bit of time to get there. Five years. It only took five. Yeah. Five years went by so quickly. With us today, David Sachs is back. How are you doing, brother? Good. You good? Yeah. Good being number one. Yeah. It's good to be number one. I agree. Yeah. I agree. I've done an excellent job. You've done a Alright. Very good job. Now Yeah. Now we'll see who takes the most credit for the Ascension of the All In podcast. Over to you, Shammoth Palihapitiya. How's your week been? It's great being the position. Yeah. It's great being the best. I mean, you know, we would have... I feel like Saxon and I would have gotten here at least eighteen months sooner had we not had to drag you on our back. Oh, okay. The point guard who actually actually put put all all those those dives dives and and positioned positioned the ball everywhere you guys wanted it. Yes. You would've... You certainly would've gotten there, eventually if you guys actually knew how to set up. We be without your constant interruptions? Absolutely. We would have been number one sooner. You would you would be where every other tech podcast is in the four hundreds. And joining us this week in replacement of UltraStar one. Also number one. The number one venture capital firm in assets under management, I believe, certainly. None other. Yes, sir. Then Ben Horowitz is here. Hey, Ben. How are you? I am doing swell. Thank you for having me on the show. It's great to be with the number one team. Yes. The number one podcast in world. How does it feel to be on the number one podcast in the world? Have you... Has it... You know, like, have you soaked it in yet, Ben? It's just It it feels great. Yes. Yeah. It is awesome. I feel bigger already. It is kind of amazing that a tech podcast could be the number one podcast on That is bizarre. Apple Podcast last weekend. Big docket this week. Good to have you here, Ben. And Freiberg is busy saving the world from famines and he'll be back next week for all of you. He retired. You're right. He retired at number one. Yeah. He just... He just walked off the court. That's hilarious. Yeah. Well, we've had an eventful week. We may have actually had the AI bubble, if there is one, pop or deflate a little bit. The Neo Clouds got crushed this week after Core Weave's bonds started to sell off. Could be the canary in the coal mine? We'll find out. Core Weave, Iren, Nebius, these are all the biggest Neo Clouds. They're all down about 20% as publicly traded companies. Here's your …

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