
What happened
AI researcher Andrew Tulloch is leaving Meta. He was reportedly recruited personally by Mark Zuckberg, who offered him a $1.5 billion pay package over six years.
Why it matters
That number has been disputed, but even a close figure would have made Tulloch the highest paid employee in tech industry history. Top AI researchers now move between labs like Anthropic, OpenAI, Google, SpaceXAI and Meta.
What to watch
Tulloch could take a high salary at another lab or raise billions for his own startup, as OpenAI's Ilya Sutskever and Google's Jeff Dean did. The open question is how long the high-priced talent churn lasts before supply adjusts.
WHO IT HITSThis lands on recruiters and compensation teams at leading AI labs, who must now price and retain top researchers against offers reportedly reaching $1.5 billion over six years. It also matters to venture investors, since departing researchers like Tulloch could raise billions for their own startups.
Summaries like this, every morning.
The reported offer to Tulloch sits at the extreme end of what AI labs have been willing to pay. Even setting aside the disputed $1.5 billion figure, the article notes that a package anywhere near that size would have made him the highest paid employee in the history of the tech industry, which shows how far compensation has stretched at the top of the field.
What makes the move notable is that it runs against the recruiting effort described in the article. Tulloch was reportedly recruited personally by Mark Zuckberg, and talented researchers now dart between leading labs including Anthropic, OpenAI, Google, SpaceXAI and Meta. His departure is a reminder that even a personal pitch from a chief executive is not necessarily enough to keep a top researcher in place.
The next step for Tulloch is left open. He could take a high salary at another lab, or raise billions from venture capitalists for a startup of his own, following the path the article attributes to OpenAI's Ilya Sutskever and Google's Jeff Dean. The larger test, as the article frames it, is whether the high-priced revolving door at AI companies continues until the talent field adjusts and creates more supply.
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