August 07, 2026
The Blind Spot in U.S.-China AI Competition with Paul Haenle and Terah Lyons
Paul Haenle and Terah Lyons of JPMorganChase join Emily and Geoff to talk about their recent report on U.S.-China AI competition and what policymakers miss when they only look at the latest AI model benchmarks. They get into the latest uproar over (yet another) capable Chinese AI model, what U.S. industrial policy for AI should look like, and how capital can be allocated amidst rapid technological change and massive geopolitical uncertainty.
Paul Haenle is Managing Director and Head of Asia Pacific (APAC) Policy and Strategic Competitiveness at JPMorganChase, where he leads strategy and external engagement on policy issues critical to the firm’s global competitiveness, including trade and investment, supply chains, technology, and infrastructure.
Terah Lyons is currently a Managing Director and the Global Head of AI and Data Policy at JPMorganChase, where she bridges the Chief Data and Analytics Office and Global Government Relations as a member of both executive teams, drives the company's global strategy, engagement, and positioning on AI, data, and digital policy issues, and support's the Firm's AI governance and responsible AI strategy.
Disclosure: Separate from this podcast, JPMorganChase is a financial supporter of CNAS. As with all of our supporters, we maintain strict intellectual independence and editorial discretion in our research products, including our podcasts. More information on our intellectual independence policy can be found on our website.
Christopher Miller, Chip War
Dan Wang, Breakneck: China’s Quest to Engineer the Future
Geoffrey Gertz and Emily Kilcrease, Who Will Make Money on AI?, CNAS, May 5, 2026
Michael Cembalest, Patchmageddon: The race to patch software vulnerabilities before zero-day cyber-exploitations proliferate , JPMC, July 2026
JPMorganChase, Beyond the Benchmarks: A Systemic View of U.S.-China AI Competition, May 2026
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