Congressman Jay Obernolte on the Future of U.S. AI Regulation
In this episode, we are joined by Rep. Jay Obernolte, one of Congress’s leading voices on AI policy. We discuss his path from developing video games to serving in Congress (00:49), the work of the bipartisan House Task Force on AI and its final report (9:39), competing approaches to designing AI regulation in Congress (16:38), and prospects for federal preemption of state AI legislation (40:32).
Congressman Obernolte has represented California’s 23rd district since 2021. He co-chaired the bipartisan House Task Force on AI, leading the development of an extensive December 2024 report outlining a congressional agenda for AI. He also serves as vice-chair of the Congressional AI Caucus and is the only current member of Congress with an advanced degree in Artificial Intelligence, which he earned from UCLA in 1997. Rep. Obernolte previously served in the California State Legislature.
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58:34
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58:34
The Impact of AI on Labor with Harry Holzer
In this episode, we are joined by economist Harry Holzer to discuss how AI is set to transform labor. Holzer was Chief Economist at the U.S. Department of Labor during the Clinton administration and is currently a Professor of Public Policy at Georgetown University. We break down the fundamentals of the labor market (4:00) and the current and future impact of AI automation (10:30). Holzer also reacts to Anthropic CEO Dario Amodei's warning that AI could eliminate half of entry-level white-collar jobs (23:32) and explains why we need better data capturing AI's impact on the labor market (52:53).
Harry Holzer recently co-authored a white paper titled "Proactively Developing & Assisting the Workforce in the Age of AI," which is available here.
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1:07:10
What California's SB 53 Means for AI Safety
In this episode, we dive into California's new AI transparency law, SB 53. We explore the bill's history (00:30), contrast it with the more controversial SB 1047 (6:43), break down the specific disclosure requirements for AI labs of different scales (13:38), and discuss how industry stakeholders and policy experts have responded to the legislation (29:47).
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37:22
The Energy Cost of AI with Joseph Majkut
In this episode, we're joined by Joseph Majkut, Director of CSIS' Energy Security and Climate Change Program, to take an in-depth look at energy's role in AI. We explore the current state of the U.S. electrical grid (11:34), bottlenecks in the AI data center buildout (43:45), how U.S. energy efforts compare internationally (1:16:06), and more.
Joseph has co-authored three reports on AI and energy: AI for the Grid: Opportunities, Risks, and Safeguards (September 2025), The Electricity Supply Bottleneck on U.S. AI Dominance (March 2025), and The AI Power Surge: Growth Scenarios for GenAI Datacenters Through 2030 (March 2025).
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1:25:49
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1:25:49
Is China Done with Nvidia’s AI Chips?
In this episode, we discuss how today’s massive AI infrastructure investments compare to the Manhattan Project (00:33), China’s reported ban on Nvidia chips and its implications for export control policy (13:41), Anthropic’s $1.5 billion copyright settlement with authors (33:49), and recent multibillion-dollar AI investments by Nvidia and ASML (44:42).
Join CSIS’s Gregory C. Allen, senior adviser with the Wadhwani AI Centers, on a deep dive into the world of AI policy. Every two weeks, tune in for insightful discussions regarding AI policy regulation, innovation, national security, and geopolitics. The AI Policy Podcast is by the Wadhwani Center for AI and Advanced Technologies at CSIS, a bipartisan think-tank in Washington, D.C.
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