CEIP study: 87 of the top 100 Chinese AI researchers who were working in the US in 2019 are still doing research at US universities or companies in 2025
Although some Silicon Valley executives paint China as the enemy, Chinese brains continue to play a major role in U.S. research.
Context & Ripple Effects
Earlier coverage established that China was producing a large share of leading AI researchers, while Chinese scholars had long been a major source of AI research output. This result shows that researcher origin and the location where advanced work is conducted remain meaningfully separate.
It also sharpens concerns that restrictive immigration or security policy could cost U.S. employers access to Chinese AI specialists, a risk raised in earlier warnings about policy-driven talent losses.
First-order effects
- U.S. universities and companies retain a substantial cohort of elite Chinese AI researchers, preserving research capacity and institutional know-how in the near term.
- The finding challenges a simple framing in which U.S.-China AI competition maps cleanly onto researchers’ nationality rather than the institutions where they work.
Second-order effects
- AI labs and universities gain a stronger incentive to protect recruiting, visa support, and research environments, because China’s large pipeline of top AI researchers can still feed U.S.-based work.
- Policymakers face a sharper trade-off: tighter controls intended to address strategic risk may also make it harder for domestic organizations to retain the talent supporting their AI efforts.
Third-order effects
- If retention becomes less reliable, AI advantage will depend increasingly on whether countries can convert global researcher mobility into durable local research ecosystems—not simply on where talent is educated.
- The broader competition may split between national-security restrictions and the openness needed to sustain talent clusters, with the balance shaped by immigration and institutional policy.
The trend: AI competition is increasingly a contest to retain globally trained researchers within domestic labs, universities, and innovation ecosystems.