Source: Meta AI researcher Andrew Tulloch, who came over from Thinking Machine Lab as one of the highest paid employees last year, is leaving the company
Meta AI researcher Andrew Tulloch, who gained attention for being one of the highest paid employees in tech industry, is leaving the company …
Context & Ripple Effects
The report follows Meta’s 2025 recruitment of Tulloch from Thinking Machines Lab and the subsequent arrival of two more Thinking Machines founding-team members at Meta. Meta’s AI hiring push has also shown retention strain: several Superintelligence Labs recruits left within weeks, while OpenAI recruited Meta researcher Ruoming Pang in February 2026.
First-order effects
- If confirmed, Tulloch’s departure removes a researcher Meta recruited from Thinking Machines Lab, forcing the team to redistribute his research responsibilities or recruit a replacement.
- The report puts renewed attention on Meta’s ability to retain highly compensated AI hires after attracting them from rival labs.
Second-order effects
- Thinking Machines Lab and other frontier-AI employers gain evidence that recruiting alone does not secure talent, raising the importance of research roles and team stability alongside pay packages.
- Meta’s AI leadership must contend with a hiring market in which researchers can move quickly between competitors, as reflected in the earlier departures and OpenAI’s Pang hire.
Third-order effects
- If this pattern persists, the contest among frontier-AI labs shifts from one-off compensation offers toward retaining cohesive research teams, making organizational continuity a competitive asset.
- Repeated movement among senior researchers may also make talent mobility—not just model releases—a visible measure of whether an AI lab can sustain its research strategy.
The trend: Frontier-AI competition is becoming a retention contest as researchers and founding-team members move among well-funded labs despite exceptional pay.