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America and China Are Racing to Different AI Futures

Shownote

Is the US really in an AI race with China—or are we racing toward completely different finish lines? In this episode, Tristan Harris sits down with China experts Selina Xu and Matt Sheehan to separate fact from fiction about China's AI development. They explore fundamental questions about how the Chinese government and public approach AI, the most persistent misconceptions in the West, and whether cooperation between rivals is actually possible. From the streets of Shanghai to high-level policy discussions, Xu and Sheehan paint a nuanced portrait of AI in China that defies both hawkish fears and naive optimism. If we're going to avoid a catastrophic AI arms race, we first need to understand what race we're actually in—and whether we're even running toward the same finish line. Note: On December 8, after this recording took place, the Trump administration announced that the Commerce Department would allow American semiconductor companies, including Nvidia, to sell their most powerful chips to China in exchange for a 25 percent cut of the revenue. RECOMMENDED MEDIA “China's Big AI Diffusion Plan is Here. Will it Work? [https://mattsheehan.substack.com/p/chinas-big-ai-diffusion-plan-is-here]” by Matt Sheehan Selina’s blog [https://selinaxu.com/] Further reading on China’s AI+ Plan [https://futurism.com/china-ai-powered-economy] Further reading on the Gaither Report and the missile gap [https://www.jfklibrary.org/events-and-awards/kennedy-library-forums/past-forums/transcripts/50th-anniversary-of-the-missile-gap-controversy] Further Reading on involution in China [https://www.nytimes.com/2025/09/23/opinion/china-economy-deflation-neijuan.html] The consensus from the international dialogues on AI safety in Shanghai [https://idais.ai/dialogue/idais-shanghai/] RECOMMENDED YUA EPISODES The Narrow Path: Sam Hammond on AI, Institutions, and the Fragile Future [https://www.humanetech.com/podcast/the-narrow-path-sam-hammond-on-ai-institutions-and-the-fragile-future] AI Is Moving Fast. We Need Laws that Will Too. [https://www.humanetech.com/podcast/ai-is-moving-fast-we-need-laws-that-will-too] The AI ‘Race’: China vs. the US with Jeffrey Ding and Karen Hao [https://www.humanetech.com/podcast/the-ai-race-china-vs-the-us-with-jeffrey-ding-and-karen-hao] Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com [https://pcm.adswizz.com] for information about our collection and use of personal data for advertising.

Highlights

In this episode, Tristan Harris hosts China experts Selina Xu and Matt Sheehan to dissect the common narratives surrounding the US-China AI race. They challenge the idea of a simple, head-to-head competition, revealing a more complex reality where the two nations are pursuing fundamentally different goals with AI technology.
02:53
Xi Jinping does not personally dictate all AI policies
05:53
China's AI focus is on practical applications and integration into traditional sectors
14:20
China's AI strategy is not a centralized Manhattan Project
43:21
Involution means excessive competition with slim profits.
53:46
China is willing to learn from the US

Chapters

Is Xi Jinping Really the Mastermind Behind China's AI?
00:00
The Great Divide: Racing for AGI vs. Building Practical AI Tools
05:53
Not a Manhattan Project: How China's AI Strategy is a Decentralized Rollout
14:20
The Demographic Driver: Why an Aging Population is Pushing China Toward Robots
35:17
Can Rivals Cooperate? Finding a Middle Path for AI Safety Between the US and China
48:37

Transcript

Tristan Harris: Hey everyone, welcome to Your Undivided Attention. I'm Tristan Harris. In 1957, two events turned up the heat on the Cold War between the United States and the Soviet Union. In a major way. The first was the launch of Sputnik, which showed ...