DeepMind's share of top AI hires in Europe plummets as rivals poach
New data from Zeki Data shows DeepMind's share of research and advanced-engineering hires across Europe, the Middle East and Africa fell from 49% in 2022–23 to 18.6% in 2025–26. The lab has lost prominent figures including Jeff Dean and several senior researchers, with departures driven by aggressive poaching from rivals and a shift toward commercializing Gemini. Morale issues and the lure of pre-IPO stock at competitors like OpenAI and Anthropic are also contributing to the exodus.
Zeki Data's analysis tracks a sharp reversal in DeepMind's European talent dominance. Its share of research and advanced-engineering hires across EMEA collapsed from 49% in 2022–23 to 18.6% in 2025–26, the steepest regional decline recorded for any major AI lab. The lab's arrivals-to-departures ratio also deteriorated dramatically, falling from roughly 12 hires per exit in Q2 2023 to about two per exit by Q3 2026. Rivals show stronger retention: Anthropic posted a 22-to-1 ratio, OpenAI 5.7-to-1, and Meta 3-to-1.
The exodus includes high-profile figures: chief scientist Jeff Dean, senior fellow Sanjay Ghemawat, and researchers Oriol Vinyals and Quoc Le departed this month to found startup Discovery Loop. CEO Demis Hassabis is transitioning to chairman and Alphabet chief scientist, handing operational control to CTO Koray Kavukcuoglu. Staff cite aggressive poaching, frustration over Google's AI race position, morale issues, and the appeal of pre-IPO equity at competitors as driving factors.
This talent drain could slow DeepMind's model development and product commercialization, potentially affecting Google's competitive position in AI services that millions use. If elite researchers continue migrating to OpenAI and Anthropic, innovation may concentrate in fewer companies, reducing diversity of approaches and raising questions about market consolidation. The shift toward commercial priorities at DeepMind may also discourage academic-minded researchers, potentially narrowing the pipeline of fundamental AI research. Consumers could see fewer breakthrough products from Google, while investors and employees at rival labs may benefit from accelerated progress and valuations.