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Sutskever's shift to CEO of Safe Superintelligence, following Meta's hiring of his predecessor Daniel Gross, underscores the intense competition in the AI industry and the company’s dedication to fostering ethical superintelligence.
Ilya Sutskever, the co-founder and chief scientist of OpenAI, has announced his assumption of the CEO role at Safe Superintelligence, an artificial intelligence (AI) startup he launched last year. This move comes in the wake of Meta's strategic poaching of Daniel Gross, who had been serving as CEO of Safe Superintelligence.
The leadership change at Safe Superintelligence is a significant development in the highly competitive AI sector. Sutskever’s transition to CEO signals a renewed focus on advancing the company’s mission to develop safe and ethical superintelligent systems. The departure of Gross, a well-known entrepreneur and AI investor, underscores the intense competition for top talent among major tech players like Meta.

In a post on X (formerly Twitter), Sutskever acknowledged that Gross’s time at the company had been “winding down” and noted his last day was June 29. Daniel Levy, another co-founder of Safe Superintelligence, will now serve as president, and the technical team will continue to report to Sutskever.
Meta CEO Mark Zuckerberg has been on a multibillion-dollar AI hiring spree, which includes a $14 billion investment in Scale AI that brought founder Alexandr Wang and a group of lead engineers to Meta. On June 30, Zuckerberg announced the creation of Meta Superintelligence Labs, an organization comprising top AI researchers and engineers. Notably, Gross’s name was not among the new hires mentioned by Zuckerberg.
Ilya Sutskever’s assumption of the CEO role at Safe Superintelligence marks a pivotal moment for the company as it navigates the challenges and opportunities in the AI sector. With a strong technical foundation and a renewed focus on ethical innovation, Safe Superintelligence is poised to make significant contributions to the development of safe superintelligent systems.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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4 July 2025
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