Podcasts let you keep up with AI on a commute or a walk, and interview shows let researchers, engineers and founders explain their work in their own words.
This guide lists 13 AI podcasts, sorted by what you want from them. Every show below posted a new episode in October 2026, so none of them is a dead show. Each description quotes the show's own feed or Apple Podcasts listing. We checked every link as of October 26, 2026.
How to pick an AI podcast
Start with the question you want answered.
- "What happened in AI this week?" Pick a news recap show. These focus on what launched, who raised money and why it matters.
- "How do I build with this?" Pick an engineering show. These talk about models, tools and real projects, and they assume you want to make something.
- "What do the people at the frontier think?" Pick an interview show. Most episodes are one long conversation with a founder, researcher or investor.
- "How does this actually work?" Pick a research show. These go slower and deeper.
One simple approach: pick one show from the news group plus one show from whichever other group matches your job.
News recaps
The AI Daily Brief
The AI Daily Brief, hosted by Nathaniel Whittemore, calls itself "a daily news analysis show on all things artificial intelligence." Its feed says the host looks at AI "from multiple angles," from new creative tools to "the potential disruptions to work and industries" and questions of alignment and x-risk. The show's site is aidailybrief.ai.
Best for: people who want a short daily habit. The most recent episode in its feed is dated October 26, 2026.
Hard Fork
Hard Fork is from The New York Times. Its feed describes it as "a show about the future that's already here," in which "each week, New York Times journalists explore and make sense of the latest in the rapidly changing world of tech."
Best for: general listeners who want AI news alongside the wider tech industry. The most recent episode in its feed is dated October 23, 2026.
Last Week in AI
Last Week in AI, listed on Apple Podcasts under Skynet Today, describes itself in one line as "weekly summaries of the AI news that matters." It also has a site at lastweekin.ai.
Best for: people who would rather catch up once a week than every day. The most recent episode in its feed is dated October 19, 2026.
Building with AI
Latent Space
Latent Space: The AI Engineer Podcast is, in its feed's words, "the main Latent Space podcast: AI engineering, Forward Deployed Engineering, AI for science, and Lightning episodes." The show also runs separate feeds for engineering, science and a "firehose" of all its shows, listed on its podcasts page.
Best for: software engineers building products on top of AI models. The most recent episode in its feed is dated October 26, 2026.
Practical AI
Practical AI, hosted by Daniel Whitenack and Chris Benson, opens its description with "making artificial intelligence practical, productive & accessible to everyone." Its feed says the focus is "on productive implementations and real-world scenarios that are accessible to everyone," and that its audience includes "technology professionals, business people, students, enthusiasts, and expert guests." The show's site is practicalai.show.
Best for: people who want applied AI and real-world use cases, including non-specialists. The most recent episode in its feed is dated October 22, 2026.
The TWIML AI Podcast
The TWIML AI Podcast, formerly This Week in Machine Learning & Artificial Intelligence, is hosted by Sam Charrington. Its feed says it "brings the top minds and ideas from the world of ML and AI" to "ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders." Its site is twimlai.com.
Best for: data scientists and machine learning practitioners. Its feed listed 799 episodes as of October 26, 2026, so it is also a good place to search for a specific topic. The most recent episode in its feed is dated October 21, 2026.
Interviews with builders and investors
Dwarkesh Podcast
Dwarkesh Podcast, hosted by Dwarkesh Patel, describes itself in three words: "Deeply researched interviews." The show's home is dwarkesh.com/podcast.
Best for: listeners who want long, detailed conversations about where AI is going. The most recent episode in its feed is dated October 22, 2026.
No Priors
No Priors is co-hosted by Elad Gil and Sarah Guo. Its feed says they "talk to the world's leading AI engineers, researchers and founders about the biggest questions," including "How far away is AGI?" and "What markets are at risk for disruption?" The feed notes that Sarah Guo is the founder of Conviction, an investment firm.
Best for: founders and people who follow AI startups. The most recent episode in its feed is dated October 23, 2026.
Training Data
Training Data is from Sequoia Capital. Its feed says "Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers." The feed also states that its content "does not constitute investment advice."
Best for: people who want to hear how AI companies are being built, from the investor side. The most recent episode in its feed is dated October 20, 2026.
The Cognitive Revolution
The Cognitive Revolution is hosted by Nathan Labenz and Erik Torenberg. Its feed says the hosts "interview the builders on the edge of AI and explore the dramatic shift it will unlock in the coming years." The feed says it is part of the Turpentine podcast network. Its site is cognitiverevolution.ai.
Best for: listeners who want in-depth builder interviews. The feed shows several episodes in October 2026, the most recent dated October 24.
Eye On A.I.
Eye On A.I. is hosted by Craig S. Smith, whom the feed describes as a "longtime New York Times correspondent." In each episode, the feed says, he talks "to people making a difference in artificial intelligence," and the podcast "aims to put incremental advances into a broader context and consider the global implications of the developing technology." Its site is eye-on.ai.
Best for: listeners who like a journalist's framing of technical work. The most recent episode in its feed is dated October 23, 2026.
Research and ideas
Google DeepMind: The Podcast
Google DeepMind: The Podcast is hosted by mathematician and broadcaster Professor Hannah Fry. Its feed says she "goes behind the scenes of the world-leading research lab to uncover the extraordinary ways AI is transforming our world," and promises "no hype. No spin." The show's page is on the Google DeepMind site.
Best for: curious general listeners who want research explained clearly. It is one lab's view of its own work, so pair it with an independent show. Episodes come out less often than on most shows here; the most recent in its feed is dated October 1, 2026.
Machine Learning Street Talk
Machine Learning Street Talk (MLST) is run by Tim Scarfe, with regular appearances from Keith Duggar, according to its feed. The feed says its flagship show "covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis," and adds: "we touch on all of the main ideas in the field with the hype surgically removed." It also posts on YouTube.
Best for: listeners who enjoy theory, debate and the big open questions. The most recent episode in its feed is dated October 26, 2026.
A simple starting set
If you only add three shows, here is one way to cover the ground:
- For everyone: one news show (The AI Daily Brief if you want daily, Last Week in AI if you want weekly) plus Google DeepMind: The Podcast for research explained simply.
- For developers: Latent Space plus Practical AI, with a weekly news show on top.
- For founders and investors: No Priors or Training Data, plus a news show.
- For deep thinkers: Dwarkesh Podcast and Machine Learning Street Talk.
Every show above is on Apple Podcasts, and each Apple listing points to a public RSS feed, so you can also add them to other podcast apps that accept a feed URL.
If you are using podcasts as part of learning AI from scratch, you can pair them with a structured course. Our guide to the best free AI courses and our AI engineer roadmap are good places to start.
Sources
- The AI Daily Brief on Apple Podcasts
- Hard Fork on Apple Podcasts
- Last Week in AI on Apple Podcasts
- Latent Space on Apple Podcasts and Latent Space podcasts page
- Practical AI on Apple Podcasts
- The TWIML AI Podcast on Apple Podcasts
- Dwarkesh Podcast on Apple Podcasts
- No Priors on Apple Podcasts
- Training Data on Apple Podcasts
- The Cognitive Revolution on Apple Podcasts
- Eye On A.I. on Apple Podcasts
- Google DeepMind: The Podcast
- Machine Learning Street Talk on Apple Podcasts
