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Daniel Gross & Nat Friedman Acquired by Meta; OpenAI's SBC Bombshell
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Daniel Gross & Nat Friedman Acquired by Meta; OpenAI's SBC Bombshell

Summary

  • Meta’s hire of Daniel Gross and Nat Friedman may outweigh even a spectacular venture franchise. Jason and Rory’s rough math starts with a $1.1 billion fund, roughly half deployed and marked 4x: about $1.5 billion of paper gains and roughly $300 million of carry, plus perhaps $800 million-$1 billion of forgone future economics. Rory believed Meta would buy an aggregate 49% of the fund, allowing LPs to sell some or all of their interests; an LP could get roughly “jilted with a 2X” while retaining unsold exposure, but Harry argues they still lose prized stewardship.
  • The talent-accumulation strategy probably works as recruiting, but that does not settle Meta’s return on it. Jason calls it a “mega-mecca for talent”: prominence attracts the best, who attract more of the best. Rory agrees the AI “inner circle” can build the product, yet asks whether being the fourth or fifth broadly capable LLM is compelling; once Meta decides AI is existential, however, it should do what it has to do to win.
  • The panel’s sharpest 2026 B2B AI risk is labor scarcity, not model access. Cursor-level compensation—$800,000-plus, RSUs and guarantees—forces even a nearly $200 million ARR company to contemplate 0.5%-1% equity per AI engineer, economics that cannot scale to 50 hires. Rory’s nuance is that application companies need not employ frontier-model builders, but Jason insists average teams sharing the same models disappear into “the sea of sameness.”
  • OpenAI’s reported stock compensation is alarming, but GAAP expense is not the same thing as dilution. Jason cited $4.4 billion of SBC, equal to 119% of GAAP revenue versus a projected fall to 45%; Rory wants shares issued considered against valuation, noting that $10 billion at $300 billion is 3%, while freely tradable stock is more cash-like. His conclusion is blunt: 20%-30% extra dilution can hurt, but “not getting it is the fatal error.”
  • CoreWeave is using appreciated equity to exchange fixed obligations for de-risking. The $9 billion Core Scientific purchase, after $1 billion for Weights & Biases, can replace lease, rent and debt exposure with dilution; Rory frames it as moving from 100% to 80% leveraged to endless data-center demand. Circle should also exploit rich equity, the panel says, but as a profitable business with $156 million of net income, its likely target is distribution rather than cost structure.
  • Olo’s $2 billion take-private shows a functioning exit market, not a broad SaaS rescue. At roughly $320 million ARR, 20%-21% growth, GAAP profitability and 6x-6.5x revenue, Thoma Bravo gets a “meat and potatoes deal” it can compound through bolt-ons and greater restaurant-wallet share. It demonstrates that defensible vertical SaaS can transact, but Rory says it will not save 500-700 unicorns.
  • Venture has become a flight to consensus in which a small set of AI leaders absorbs money, talent and attention. Cursor illustrates the loop—“attention begets more attention”—while “nearly as good” attracts little; meanwhile, Carta showed deal count at an eight-year low. Even triple-triple-double-double growth can be passed over unless it is cheaper, durably differentiated and financeable through later rounds, though Harry argues firms with weaker AI-halo brands should exploit that abandoned lane.
  • AI is raising the minimum technical fluency of both sellers and incumbent employees. Microsoft’s 9,000 layoffs were framed as replacing generalist relationship sellers with solution engineers, with Jason estimating AI may remove 30%-40% of one- or two-call sales roles; Canva’s discovery week for all 5,000 employees made adoption expectations explicit. Harry would fire persistent resisters, while Rory sees method as secondary: in two to four years, nobody will credibly say, “I’m too busy to use AI.”
  • The later capital-market signals are mixed. Vanguard’s partnership with Blackstone may add private-market capital, but target-date liquidity and private marks complicate retail access; university funding pressure should reduce venture-LP activity even as Jason says the QSBS exclusion rose to $15 million. In the quick-fire discussion, Sean Maguire’s Kalshi odds were quoted as Yes 34.8% and No 11.5%; Jason argued he might leave Sequoia, while Rory argued No.

Deep dive

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