In this episode, we start by discussing Greg's trip to India and the upcoming India AI Impact Summit in February 2026 (00:29). We then unpack the Trump Administration’s draft executive order to preempt state AI laws (07:46) and break down the European Commission’s new “digital omnibus” package, including proposed adjustments to the AI Act and broader regulatory simplification efforts (17:51). Finally, we discuss Anthropic’s report on a China-backed “highly sophisticated cyber espionage campaign" using Claude and the mixed reactions from cybersecurity and AI policy experts (37:37).

In this episode, Georgia Adamson and Saif Khan from the Institute for Progress join Greg to unpack their October 25 paper, "Should the US Sell Blackwell Chips to China?" They discuss the geopolitical context of the paper (3:26), how the rumored B30A would compare to other advanced AI chips (11:37), and the potential consequences if the US were to permit B30A exports to China (32:00).

Their paper is available here.

One of the most common questions we get from listeners is how to build a successful career in AI policy—so we dedicated an entire episode to answering it. We cover the most formative experiences from Greg's career journey (3:30), general principles for professional success (45:09), and actionable tips specific to breaking into the AI policy space (1:11:52).

In this episode, we cover OpenAI’s latest video-generation model Sora 2 (1:02), concrete harms and potential risks from deepfakes (5:18), the underlying technology and its history (27:03), and how policy can mitigate harms (36:31).

 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.

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.

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).

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).

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).

In this episode, we discuss China's focus on AI adoption (00:58), the underlying factors driving investor enthusiasm (14:51), and the national security implications of China's booming AI industry (31:47).