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  1. Two CEOs have set $1t revenue targets on their businesses while cloud growth accelerates at $30b to $50b quarterly scale.

  2. Beyond Automation at OpenAI

    Arvind KC, Chief People Officer at OpenAI & former CIO at Palantir, joins Office Hours to discuss the future of the people function.

  3. Coding & customer support were the first two AI markets.

  4. Analyze Anthropic's S-1 IPO metrics : $4.6B revenue growing 11.9-fold, a derived 40% gross margin, $974M of operating profit in Q2, & $637B of compute commitments.

  5. How Large is the AI Circle?

    Every major build-out has two phases per Carlota Perez: infrastructure, then the applications that pay for it.

  6. Bardia Shahali, VP of Sales at Granola, joins Office Hours to explain how AI-era sales teams run smaller because revenue per rep multiplies, why comp plans moved from annual to quarterly, & why the sales pod splits by layer between infrastructure & applic…

  7. The GPU Revenue Ladder

    SpaceX's third-quarter report & DeepSeek's inference disclosure together price one GPU card-hour four ways, from DeepSeek's theoretical $38 maximum to SpaceX's realized $2.44.

  8. What if They're All Clouds?

    Anthropic is considered an AI company, but it should be valued as a cloud.

  9. Price War in the Chip Aisle

    Five frontier models now sit within five points of each other in terms of intelligence, but their cost per unit differs by 3.8x.

  10. A Change in AI Strategy

    AI models have reached commodity status as prices fall 41% while token usage surges 50%.

  11. How to Automate Inbound

    Jeanne DeWitt Grosser, COO of Vercel, walks through the construction of the company's inbound sales agent: one GTM engineer at 20% time, a prompt written by the top SDR, six weeks of human-in-the-loop QA, & the eventual migration from a 1,000-line prompt…

  12. AI inference is set to surpass the database market to become the most important market in software, reaching ~$350b by 2027.

  13. Explores the contrast between organic 'growing' of software via vibe-coding and deterministic 'designing' via state machines and formal verification.

  14. Tokenized real-world assets are the fastest-growing market in tech, compounding at 53% a month versus 25% for Anthropic.

  15. Anthropic & OpenAI both re-rated their run rates in 2026 by segmenting : a mandatory enterprise repricing against an 80% price cut on the cheapest tier.

  16. GPU rental prices doubled in six months while inference prices kept falling.

  17. AI has removed the typing from software engineering & left the system design.

  18. AI prices are collapsing, but the competition is not at the frontier.

  19. Machine-native models replace human-facing text generation with zero-token typed execution, cutting inference costs by orders of magnitude for basic programming primitives.

  20. A UC Berkeley study finds the harness sets the price of an answer : GPT-5.6 Sol costs 71% less on Pi than on Claude Code, the same model returning the same result, & none of the 42 harness comparisons shows a statistically significant quality difference.

  21. When Inbound Sells Itself

    Jeanne DeWitt Grosser, COO of Vercel, reports 90% automation of inbound sales development, a support agent handling 93% of cases, a 32x ROI on the sales development agent, & a total annual infrastructure bill in the single-digit thousands.

  22. What Does Pacing Mean?

    Amodei asked the industry to pace itself, but nobody defined the word.

  23. OpenAI disclosed that its researchers now supervise 3.14 agent-workdays for every 8-hour human workday.

  24. AI token consumption expands in three waves : chat, a single agent, & a meta-harness orchestrating many agents.