Stanford, Asia Society Policy Institute Expand U.S.-China AI Policy Initiatives
Leading experts Alvin Wang Graylin and Grace Shao drive new academic and strategic analysis into Chinese tech governance and artificial intelligence business models.
SAN FRANCISCO — Institutional research into artificial intelligence policy and Chinese technology competition is accelerating across major American universities and think tanks, reflecting heightened scrutiny over global tech strategy and governance.
Alvin Wang Graylin, co-author of Our Next Reality, is heading research efforts on artificial intelligence policy across several prominent institutions. Graylin serves as a digital fellow at Stanford HAI—the university’s Institute for Human-Centered Artificial Intelligence—and holds a senior fellowship at the Asia Society Policy Institute’s Center for China Analysis.
In addition to his think-tank roles, Graylin serves as a professor of AI and tech policy at the University of Washington, where research centers on hardware regulation, algorithmic governance, and cross-border commercial strategy.
The policy research expansion coincides with heightened private-sector demand for specialized strategic analysis regarding Chinese technology firms. Media and research platform AI Proem, founded by Grace Shao, has deepened focus on the sector through its industry newsletter and podcast, delivering detailed analysis on the business model and strategy of AI and tech companies operating in China.
The dual focus on academic policy frameworks and commercial business models underscores growing efforts by researchers and industry analysts to evaluate how Chinese technology companies adapt to trade restrictions, compute limitations, and domestic economic shifts.
