Why a top AI pioneer left the U.S. for China—and what it means for the global race to build AGI

After nearly three decades in the U.S., renowned AI researcher Song‑Chun Zhu relocated to Beijing in 2020, trading a tenured post at UCLA for a well-funded mandate to pursue a rival path to artificial general intelligence. Backed by Chinese institutions, Zhu is building “small data, big task” systems aimed at human-like reasoning and commonsense—an explicit rebuke to Silicon Valley’s scale-first deep learning orthodoxy. His move comes amid worsening U.S.–China tensions, tightened research scrutiny, and shifting funding priorities in Washington, even as both countries roll out sweeping blueprints to dominate AI. Zhu’s institute is courting robotics partners and showcasing child-like virtual agents as China centralizes resources for strategic tech. The stakes are geopolitical as much as scientific: talent flows, chip controls, and academic politics are reshaping where—and how—the next breakthroughs will be made.

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