The Ezra Klein Show
Hosted by Ezra Klein · 6 decoded episodes · newest Oct 7, 2026
Ezra Klein invites you into a conversation on something that matters. How do we address climate change if the political system fails to act? Has the logic of markets infiltrated too many aspects of our lives? What is the future of the Republican Party? What do psychedelics teach us about consciousness? What does sci-fi understand about our present that we miss? Can our food system be just to humans and animals alike? Subscribe today at nytimes.com/podcasts or on Apple Podcasts, Spotify and Amazon Music. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher.
Episodes 6
- Oct 7, 2026 · 1h 11mOpenAI insider warns frontier AI is outrunning human controlThe episode examines whether an industry racing toward more capable models can build safeguards strong enough to govern systems it increasingly struggles to understand.
- Oct 2, 2026 · 1h 8mBeauty becomes a political fight over power and belongingThe conversation asks whether design and beauty can offer a shared civic vision beyond market-driven sameness and attention-seeking spectacle.
- Sep 29, 2026 · 1h 18mGates urges safeguards before AI’s promised abundanceThe conversation weighs AI’s potential to expand health, education, and living standards against near-term risks that governments may be failing to manage.
- Sep 25, 2026 · 1h 38mAbdul El-Sayed links personal history to universal healthcareThe conversation connects identity, institutional failure, healthcare reform, and Middle East policy to competing ideas about what government owes its people.
- Sep 23, 2026 · 1h 52mNvidia CEO challenges AI alarmism with an engineering-first visionThe conversation tests whether AI risks require new blanket regulation or disciplined company-led evaluation, containment, and liability.
- Sep 20, 2026 · 32 minAI’s control problem survives even a slower raceThe episode argues that the central AI risk is not speed alone but whether increasingly autonomous systems remain understandable and governable.