Ilya Sutskever rejected Meta’s bid for his $32B startup, so Zuckerberg is hiring his CEO instead

Meta Platforms, after failing to acquire Ilya Sutskever's $32 billion AI startup Safe Superintelligence (SSI), has hired SSI co-founder and CEO Daniel Gross, along with former GitHub CEO Nat Friedman, to bolster its AI talent pool. Gross and Friedman will report to Scale AI founder Alexandr Wang, following Meta's $14.3 billion deal for a 49% stake in Scale, and Meta will also reportedly acquire a stake in Gross and Friedman's AI fund, NFDG. This aggressive talent acquisition underscores Meta's strategic focus on securing top-tier AI expertise amidst the escalating race for artificial general intelligence.

Analysis

Meta Platforms is aggressively intensifying its pursuit of leadership in artificial general intelligence (AGI) following a rebuffed attempt to acquire the $32 billion AI startup, Safe Superintelligence (SSI). Unable to secure SSI, which was co-founded by former OpenAI chief scientist Ilya Sutskever and raised $2 billion at a $32 billion valuation in April despite having no public product, Meta has pivoted to acquiring key personnel. This includes hiring SSI's co-founder and CEO Daniel Gross, and former GitHub CEO Nat Friedman, who will report to Scale AI founder Alexandr Wang. This talent acquisition follows Meta's recent $14.3 billion investment for a 49% stake in Scale AI and a reported plan to acquire a stake in Gross and Friedman's venture fund, NFDG. These strategic maneuvers underscore the critical importance CEO Mark Zuckerberg places on superintelligence for Meta's future and the fierce competition for elite AI talent. SSI's decision to remain independent, despite Meta's bid, highlights a preference for autonomy in developing AGI, contrasting with OpenAI's commercial path and backed by significant investors like Google and Nvidia. The high valuation of SSI, with only around two dozen employees and no market-ready product, reflects the speculative fervor and substantial capital flowing into the AGI sector.

Key Decisions for Investors

• Investors should closely monitor Meta's ability to integrate its newly acquired AI talent and investments, particularly the Scale AI stake, to develop tangible AGI capabilities and translate them into product innovation and financial returns.
• The intense competition for AI talent and assets, exemplified by Meta's aggressive hiring and investment strategy after a failed acquisition, suggests sustained high valuations and potential M&A activity in the AI sector, warranting careful due diligence on AI-focused companies.
• Consider the strategic implications of key AI startups like Safe Superintelligence opting for independence over acquisition by major tech players, as this could foster a more fragmented but potentially innovative AI development landscape, impacting the competitive positioning of established firms.
• Evaluate the capital expenditure and R&D spending trends for major tech companies like Meta, as the pursuit of AGI will likely require substantial ongoing investment, impacting profitability in the short to medium term but potentially offering significant long-term growth.