Anthropic · OpenAI · Google · Meta · Microsoft · Fortune Technology
Google DeepMind is losing its grip on elite AI talent, new data indicates
Compiled by KHAO Editorial — aggregated from 1 source + 4 references discovered via search. See llms.txt for citation guidance.
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Over the last few years, the AI talent market has looked more like a professional sports draft than a conventional hiring cycle.
Key facts
- David Silver, the reinforcement-learning pioneer behind AlphaGo, AlphaZero and AlphaStar, left after nearly 13 years at DeepMind to launch Ineffable Intelligence earlier this year, a London startup
- Comparatively, Meta’s ratio in 2025 was 3 to 1, OpenAI’s was 5.7 to 1, and Anthropic’s was 22 to 1, per the report
- OpenAI’s research and engineering headcount has grown at roughly 97% annually and Anthropic’s at 152%, compared with 27% for Google DeepMind
- Zeki’s analysis tracks 20,900 people in research and advanced-engineering roles at 10 companies, using publicly available information compiled in August 2026
Summary
Google DeepMind, which was once the leading destination for many of those researchers—especially in Europe—is now finding itself on the losing side of that contest, according to a new overview of the flow of engineering talent exclusively shared with Fortune. Interviews with several current and former staff suggest DeepMind’s changing identity has weakened part of its historic appeal. Three current and two former DeepMind staffers told Fortune the recent string of departures come down to a mix of factors: rival labs like Meta and Microsoft aggressively poaching talent with cash-heavy offers, mounting frustration inside Google over where it stands in the AI race, sinking morale, and the pull of pre-IPO stock at competitors such as OpenAI and Anthropic.