All-In with Chamath, Jason, Sacks & Friedberg

Snapshot · All-In with Chamath, Jason, Sacks & Friedberg

More Trillion Dollar IPOs, Anthropic $3T, Zuck's Price War, China Ends Open Source?, Trump Accounts

Explore episode Jul 11, 2026

Where this was said

OpenAI vs Anthropic IPOs

At 5:16 · chapter starts 2:58

Jason brings in real-world evidence: Uber's CTO publicly posted that 99% of Uber engineers use AI tools, over 70% of pull requests are attributed to AI agents, and the company has built 2,500 agentic skills. Uber's answer to the ROI question is forward-deployed engineers embedded in operational departments to identify and build agentic pods. DoorDash's CTO Andy Fang goes further, releasing internal benchmarks showing they've introduced open-weight models into their AI code review workflow without degrading quality — using frontier Fable for hard tasks and Kimi 2.6 for lower-level work. Jason frames this as the 'tip of the spear' behavior that will spread across enterprise. Brad contextualizes it: yes, there's optimization happening, but revenue growth is not slowing down because every new use case being discovered still wants the most powerful frontier model available. His analogy: Snowflake optimized heavily under the hood throughout its growth phase, but revenue never slowed. He caps it with a jaw-dropping claim — if these labs end the year at $100 billion, they could 3–5x again the following year, adding $200 billion of incremental revenue, an amount that has no historical precedent.

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