A profile of Song-Chun Zhu, an AI scientist and NSF and Pentagon grantee, who left the US after 28 years to lead China's state-backed AI institute BIGAI in 2020
www.theguardian.com/news/ng- inte... Mastodon: Julian Oliver / @JulianOliver@mastodon.social : Interesting piece on Song-Chun Zhu, an influential ‘AI’ scientist who left the US after nearly 30yrs for their birth country of China to pursue their goal of achieving ‘AGI’ using methods completely contrary to that of US ‘AI’ firms … Chris / @chris@mstdn.games : An interesting read. Humanity won't reach AGI just by throwing more and more chips and money at it. Progress in science still needs brilliant minds and ideas. That's why shutting off funding, bullying Harvard, and detaining, deporting, or suspending non-white, non-American scientists and students is terribly dumb. … Will Vincent / @wsvincent@fosstodon.org : A lot to think about in this article on why a leading AI researcher left the U.S. for China. — It's long but probably the best AI-related article I've read all year. And I've read a lot. — https://www.theguardian.com/ ... Forums: r/China : ‘I have to do it’: Why one of the world's most brilliant AI scientists left the US for China. In 2020, after spending half his life in the US, Song-Chun Zhu took a one-way ticket to China. … r/artificial : ‘I have to do it’: Why one of the world's most brilliant AI scientists left the US for China. In 2020, after spending half his life in the US, Song-Chun Zhu took a one-way ticket to China. … r/longform : ‘I have to do it’: Why one of the world's most brilliant AI scientists left the US for China r/China_irl : UCLA计算机视觉主任离开美国回中国 r/ADVChina : ‘I have to do it’: Why one of the world's most brilliant AI scientists left the US for China r/technology : ‘I have to do it’: Why one of the world's most brilliant AI scientists left the US for China r/tech : ‘I have to do it’: Why one of the world's most brilliant AI scientists left the US for China
Context & Ripple Effects
Zhu’s 2020 move from a long U.S. career into leadership of the state-backed BIGAI links individual research mobility to China’s institution-building strategy. That strategy was later visible in industrial-policy support for young AI companies, rather than relying solely on private-sector labs.
The profile also sits within a broader record of cross-border constraints: China had reportedly told senior AI leaders to limit U.S. travel amid detention and confidentiality concerns, while later coverage documented a return wave of AI researchers from the U.S. to China.
First-order effects
- BIGAI gained a senior AI scientist with prior NSF and Pentagon grant experience, while Zhu shifted his research leadership from U.S. institutions to a China-backed institute.
- The move gave China’s AI ecosystem a high-profile research leader whose work and institutional role are aligned with a domestic AI organization.
Second-order effects
- For U.S. universities and funders, cases like Zhu’s make retention of internationally mobile senior researchers a more consequential part of AI research capacity.
- State-backed institutes can use prominent returnees to strengthen recruitment and research legitimacy, complementing China’s broader support for AI firms and labs.
Third-order effects
- If such moves persist, AI competition will be shaped not only by model builders and compute, but by which national systems can retain researchers and turn them into durable institutions.
- More restrictive travel and immigration conditions could further segment AI research networks, with state-supported labs becoming more central to national AI strategies.
The trend: AI talent mobility is becoming an instrument of national AI capacity as states pair research institutions with industrial policy and tighter cross-border controls.