The most recent rumors on Twitter place OpenAI's annualized revenue at around $70 billion, roughly twice SpaceX's forward revenue at IPO.
Snapshot · All-In with Chamath, Jason, Sacks & Friedberg
The most recent rumors on Twitter place OpenAI's annualized revenue at around $70 billion, roughly twice SpaceX's forward revenue at IPO.
Where this was said
At 10:14 · 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.
Chamath's CTO told him their token costs are doubling every 45 days while productivity gains top out at 5%. This isn't unique to one company — every enterprise will hit this wall within 3–4 years, and those that can IPO before the reckoning arrives should.
Chamath's CTO told him their token costs are doubling every 45 days while downstream productivity gains are only around 5% at most.
SpaceX raised $75 billion at a $1.75 trillion valuation in its IPO, setting a new template for trillion-dollar public offerings with early index inclusion and staged lockup releases.
Brad Gerstner says it's highly likely both Anthropic and OpenAI go public within 6–9 months. SpaceX's IPO at $1.75T proved the playbook works — early index inclusion, staged lockup, $75B raised — and now Anthropic's rumored $100B+ revenue run rate could make it an even bigger listing.
Anthropic is rumored to be trending toward over $100 billion in annualized revenue by end of 2026, compared to SpaceX's ~$35 billion when it IPO'd.
A single post tapping into the AI coding debate drove close to 500,000 impressions, making it the founder's best-performing piece of content.
The founder argues it is 100 times easier to bring your ideas to where attention is already focused than to create attention from scratch.
Most founders building in public never go viral because they never join the bigger conversation already happening in their space.
The speaker built his audience over 3 years of consistent content creation before launching any product.
Tweeting consistently took the speaker only 5 minutes a day, making audience-building accessible to anyone.
Having an existing audience was cited as the primary reason the speaker was able to make significant money from a product launch.
The speaker recommended creating YouTube videos and tweeting as the two core content formats for building an audience.
After SpaceX's third rocket failure, Elon Musk estimated survival odds at only 5–10%, yet stated no failure probability would have caused him to walk away — a textbook example of religious-stage commitment.
Sam built Algrow from zero to $14,000 in monthly revenue within just six months of shipping his first MVP.
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