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Alvin Wang Graylin Part 2 on Ending the US-China AI “Race”

In Part 2 of our conversation with Alvin Wang Graylin — Professor of AI and Tech Policy at the University of Washington and author of Our Next Reality — the discussion turns to AI and the US-China relationship. Alvin argues that the framing of an ‘AI race’ between the two superpowers is both inaccurate and counterproductive, explains why US export controls have backfired, and explores how China’s AI development has taken a distinctly different path — focused more on industrial adoption than the pursuit of AGI. He also discusses regulatory differences, why Chinese citizens are more optimistic about AI than Americans, his assessment of the Xi-Trump summit’s AI safety discussions, and what he would tell policymakers in both countries if given the chance.

Discussion Points:

  • Why the ‘AI race’ framing is inaccurate and unhelpful
  • How US export controls have backfired and accelerated Chinese AI development
  • China’s focus on industrial AI adoption vs. the US pursuit of AGI — implications of the difference
  • How China and the US regulate AI differently
  • Why Chinese people are more optimistic about AI than Americans
  • The Xi-Trump summit and its AI safety discussions — steps forward or insufficient?
  • What Alvin would tell US and Chinese policymakers on AI safety policy today

About the Guest

Alvin Wang Graylin (汪丛青) is a Professor of AI and Tech Policy at the University of Washington and holds fellowships at the Asia Society and the Stanford Institute for Human-Centered Artificial Intelligence. He is the author of Our Next Reality and a prolific writer on AI, US-China relations, and global technology policy. His career has spanned HTC (China President), Intel, IBM, Trend Micro, and four venture-backed startups. He writes on Substack at The Abundanist.

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