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The Hidden Weakness in America's AI Lead (#315)

2026-08-18 · 23 min · episode 315 · 14 entities

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Entities found in this episode

concepts 4

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websites 4

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  • hosted by Lynn Thoman person
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    Feed author/publisher: Lynn Thoman
Episode description as stored
Could America build the world’s best AI and still lose the AI race? What if the biggest threat to America’s lead isn’t China’s technology, but our own fear of using it? Katrina Mulligan is Head of National Security Partnerships at OpenAI and previously served in senior roles at the Department of Defense, National Security Council, and Department of Justice. Few people have seen both Washington and frontier AI development from the inside. She argues that AI is no longer a technology question for the future. It is becoming core infrastructure for economic strength, national security, and the way we work. She discusses: ●  Why America could win the race to AGI but lose on adoption ●  Why trust in AI is dramatically higher in China and the developing world ●  How China and the U.S. are taking fundamentally different approaches to AI ●  Why AI may ultimately transform society as profoundly as electricity ●  The biggest mistake leaders make when trying to adopt AI ●  Why AI transformation cannot simply be delegated to the IT department ●  How she has used AI to become at least 30% more effective at her own job ●  Why using AI like a search engine means dramatically underestimating what it can do America may currently have the advantage in building the most advanced AI. Katrina explains in today's 3 Takeaways™ conversation why that lead is far from guaranteed, how fear could become a strategic disadvantage, and why the countries and organizations that learn to redesign themselves around AI may ultimately have the most to gain.