Kevin Roose and Casey Newton report and debate the week’s most consequential technology stories, with AI now occupying much of the show.Hard Fork combines professional reporting with an accessible, skeptical conversation format and reaches beyond product announcements. It is a broad technology show, so not every episode or segment is AI-specific.Recent episodesDo Social Media Bans Work? + A Conversation About A.I. Consciousness + Tool TimeFable Ban Reversed + Dr. Dana Suskind on Parenting With A.I. + Prediction Market Drama
Updated July 12, 2026
The best AI podcasts do more than repeat launch news. They add reporting, technical depth, informed disagreement, or practical context that is worth the extra time required by audio.
This list combines Apple Podcasts and Spotify ratings when both are available. The ranking also considers current activity, format, subject depth, and whether each show adds something distinct to an AI listening queue.
Best AI Podcasts
Hard Fork4.4 ★ · 10,000+Weekly technology and AI news
The AI Daily Brief4.4 ★ · 3,000+Daily AI news and strategy
Dwarkesh Podcast4.6 ★ · 2,000+Deep interviews on AI, science, and history
Everyday AI Podcast4.5 ★ · 1,000+AI tools for everyday work
How I AI4.9 ★ · 1,000+How professionals actually use AI
Google DeepMind: The Podcast4.9 ★ · 900+Behind the scenes of DeepMind research
The Artificial Intelligence Show4.8 ★ · 600+AI strategy for business leaders
The TWIML AI Podcast4.8 ★ · 600+Research and production machine learning
Machine Learning Street Talk4.8 ★ · 500+Deep debate about machine intelligence
AI For Humans4.9 ★ · 500+Entertaining weekly AI news
Last Week in AI4.6 ★ · 400+Comprehensive weekly AI news
Practical AI4.5 ★ · 400+Making AI useful in real systems
No Priors4.4 ★ · 300+AI builders and market structure
Latent Space4.7 ★ · 300+Frontier AI engineering
Leveraging AI4.9 ★ · 200+Practical AI adoption for business leaders
Me, Myself, and AI4.8 ★ · 100+How established organizations succeed with AI
Eye on AI4.7 ★ · 100+Research translated into industry context
The Cognitive Revolution4.5 ★ · 90+AI builders and research at the frontierThe AI Daily Brief
Daily AI news and strategyNathaniel Whittemore publishes concise daily analysis that connects the immediate AI news cycle to larger economic, policy, and industry narratives.This is one of the better daily feeds for maintaining context across many announcements rather than hearing isolated headlines. The near-daily schedule inevitably repeats themes, so prioritize consequential episodes over complete consumption.Recent episodesChatGPT Just Became a Work AgentHow the 4 New AI Models Change How You Work
Dwarkesh Podcast
Deep interviews on AI, science, and historyDwarkesh Patel publishes deeply researched, long-form interviews with major researchers, executives, and scholars across AI and adjacent fields.The preparation and willingness to stay with technical arguments make the best episodes exceptional. It is not an efficient news feed, and the broad guest range means not every recent episode is about AI.Recent episodesAdam Brown – A deep but accessible introduction to general relativityGrant Sanderson – AI and the future of math
Everyday AI Podcast
AI tools for everyday workJordan Wilson publishes a daily show and livestream aimed at helping general professionals understand current AI tools and use them at work.The show is accessible and unusually current, with many episodes structured around practical takeaways. Its near-daily schedule produces repetition and favors breadth, so listeners should select by immediate need.Recent episodesEp 816: ChatGPT Work and GPT-5.6 Sol: What’s New, 5 Overlooked Features and 1 Hot TakeEp 815: New ChatGPT Voice Model, Grok 4.5, Meta’s AI Comeback, and More
Claire Vo asks practitioners to explain and demonstrate a specific AI workflow that improves the quality or efficiency of their work.The narrow ‘show the workflow’ premise produces unusually actionable episodes and avoids much of the generic productivity talk in the category. The high cadence is manageable because each episode has a clear use case.Recent episodesGPT-5.6 Sol vs. Claude Fable: Why OpenAI’s new model crushes my benchmarkWhat a harness is and how to build one with Claude Agent SDK
Google DeepMind: The Podcast
Behind the scenes of DeepMind researchMathematician and broadcaster Hannah Fry goes inside Google DeepMind to explain the lab’s research, people, and scientific applications.The production and explanatory quality are excellent, and access to the researchers makes complex work approachable. It is a first-party, seasonal show with a low cadence, not a continuous independent research feed.Recent episodesUnderstanding the inner thoughts of AIWhen millions of AI agents meet
The Artificial Intelligence Show
AI strategy for business leadersPaul Roetzer and Mike Kaput analyze the week’s AI developments for business, marketing, and leadership audiences.The show is useful for translating a complex news cycle into organizational questions and action items. Episodes are long and the business lens is broad, so technical detail and independent model testing are limited.Recent episodes#222: GPT-5.6, Government Staggers AI Model Releases, Agents Are Transforming Work & Growing Data Center Backlash
The TWIML AI Podcast
Research and production machine learningSam Charrington interviews researchers and practitioners about machine-learning advances and the systems required to deploy them.TWIML remains one of the strongest technically grounded interview feeds, with a manageable cadence and broad subject range. Episodes are substantial and most useful when selected by research or engineering problem.Recent episodesHow AI Learns to Smell with Alex Wiltschko - #771Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770
Machine Learning Street Talk
Deep debate about machine intelligenceMachine Learning Street Talk hosts long, technically argumentative conversations with researchers about the foundations and direction of AI.The show is valuable for disagreement, theory, and criticism that polished industry podcasts often avoid. Episodes are long and sometimes meandering, but the intellectual range is distinctive.Recent episodesThe Benchmark With No Instructions — ARC-AGI-3 (winning team!)The Thermodynamic AI Computing Chip - Thomas Ahle
AI For Humans
Entertaining weekly AI newsKevin Pereira and Gavin Purcell turn the week’s major AI news and tools into an accessible, personality-led show with hands-on testing.The show is a good fit for listeners who want entertainment and practical product reactions in the same weekly package. The playful tone is part of the value, but it is not a substitute for technical evaluation.Recent episodesOpenAI’s GPT-5.6 Sol Is Here. And It’s Really Freaking Good.Fable 5 Survives (For Now). And Anthropic Can Read Claude’s Mind.
Last Week in AI
Comprehensive weekly AI newsLast Week in AI reviews the week’s major AI stories in long episodes that span research, products, companies, and policy.The breadth is the main advantage: it catches significant stories outside the mainstream product cycle. Episodes run well over an hour, so chapters and selective listening are important.Recent episodes#251 - Mythos Back, Sonnet 5, Etched, LongCat#250 - Mythos Mess, GPT 5.6-Sol, GLM 5.2
Practical AI
Making AI useful in real systemsPractical AI brings engineers, business users, and researchers together around accessible implementations and real-world AI tradeoffs.The show consistently keeps one foot in production reality and is approachable without becoming purely managerial. It covers a broad technical range, and the best episodes focus on a concrete system or failure mode.Recent episodesBuilding Durable AI AgentsImage Generation and Visual Intelligence with Black Forest Labs
Investors Sarah Guo and Elad Gil interview researchers, founders, and executives about the technical and market questions shaping AI.The guest access and ability to connect technical shifts to company-building make the best episodes valuable. The venture perspective and portfolio incentives should remain visible when interpreting market claims.Recent episodesTravel Through the Lens of AI with Booking.com CEO Glenn FogelHow Nuclear Will Unlock Energy Abundance with Valar Atomics
Latent Space
Frontier AI engineeringLatent Space publishes technical interviews and analysis for AI engineers, focusing on the people and systems shaping the current developer stack.This is one of the strongest practitioner podcasts because guests usually discuss architecture, tradeoffs, and implementation rather than only company narratives. The output is frequent and episodes are long, but the technical density is high.Recent episodesWhy AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO🔬 The Coolest Diffusion Research Isn’t in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI
Leveraging AI
Practical AI adoption for business leadersIsar Meitis publishes news reviews and expert interviews aimed at business professionals turning AI into repeatable operating practices.The show is useful when it connects a technical shift to a specific business process and gives listeners an implementation path. The twice-weekly-plus cadence creates overlap between news and interview episodes.Recent episodesThe Craziest New Releases Week in AI HistoryStop Starting From Scratch: Build AI Projects That Remember
Me, Myself, and AI
How established organizations succeed with AIMIT Sloan Management Review interviews leaders responsible for real AI programs inside large organizations, focusing on the difference between value and hype.The case-study approach and senior operators make this a strong enterprise source, especially for organizational questions. It is slower and less technical than builder podcasts, which is appropriate for its management audience.Recent episodesAI Upskilling at Scale: Bank of America’s Bernard HamptonAI for Interoperability in Health Care: Philips’s Carla Goulart Peron
Former New York Times correspondent Craig S. Smith interviews researchers and practitioners to place incremental AI advances in a broader technical and industry context.The journalistic host and research-heavy guests give the show more context than most product podcasts. Its current RSS cadence is higher than the description’s biweekly label, so frequency should be treated as an observed recent rate.Recent episodesWhat Industrial AI Actually Looks Like | Kriti Sharma, Nexus BlackThe Biggest AI Security Problem Isn’t the Model. It’s This. | Devvret Rishi
The Cognitive Revolution
AI builders and research at the frontierNathan Labenz and Erik Torenberg interview researchers, founders, and engineers working on frontier systems and the industries forming around them.The show is one of the deepest builder-focused AI podcasts, often giving guests enough time to explain a system rather than only its market story. Episodes are exceptionally long and frequent, so topic selection is essential.Recent episodesAI:AM Highlights: Exploring the J-Space, AI Superforecasters, SambaNova’s Chips, & LTX Video GenIntelligence on the Edge: Liquid AI’s Ramin Hasani on the Search for Device-Native Foundation Models
How to choose
Choose by format before popularity. A short daily briefing works for news, a weekly interview show works for context, and a technical long-form podcast works for depth. Most listeners need one or two formats, not every show in the list.Other AI Podcasts to Consider
Lex Fridman Podcast: Deep conversations across science and technology.
Lenny’s Podcast: Product leadership in the AI era.
The Data Exchange: Enterprise data and AI systems.
Data Skeptic: Applied data science with skepticism.
Super Data Science: Applied AI, data careers, and industry practice.
NVIDIA AI Podcast: AI applications across industries.
Marketing Against The Grain: AI-powered marketing operations.