Sources: Meta hired AI researchers Mark Lee, from Apple's Foundation Models team, and Tom Gunter, who left Apple in June, for its superintelligence lab
Meta Platforms Inc. hired a pair of key artificial intelligence researchers who worked at Apple Inc., shortly after poaching their former boss from the iPhone maker.
Context & Ripple Effects
Meta’s superintelligence recruiting push was already drawing from rival frontier-model teams, including the earlier hire of DeepMind researcher Jack Rae. These Apple hires extend that campaign into Apple’s Foundation Models organization.
The move also fits Meta’s longer-running hands-on approach to AI recruitment, previously described as direct outreach by Mark Zuckerberg to researchers. Subsequent coverage of additional Apple departures suggests this was part of a sustained talent contest rather than an isolated hire.
First-order effects
- Meta adds Mark Lee and Tom Gunter to its superintelligence lab, deepening the team’s research bench immediately.
- Apple loses two researchers associated with its Foundation Models team, reducing continuity within a strategically important internal AI group.
Second-order effects
- The hires raise retention pressure on Apple’s remaining AI staff and sharpen competition among major labs for researchers with production model-development experience.
- Meta’s ability to recruit from both Apple and DeepMind gives its new lab a broader mix of research backgrounds, while competitors face pressure to make their own roles and research environments more compelling.
Third-order effects
- If such moves persist, frontier AI capability will be shaped not only by compute and product distribution but by a small, mobile pool of experienced researchers able to move between platform companies.
- The later report that some Superintelligence Labs recruits returned to OpenAI within weeks indicates that recruiting alone does not secure a durable talent advantage; lab organization and researcher fit will matter as much as headline hires.
The trend: Big Tech’s AI race is increasingly becoming a contest to assemble and retain concentrated frontier-research teams across established platform companies and specialist labs.