The best AI podcasts of 2026 on our AI podcast leaderboard are led by the Lex Fridman Podcast, #1 with a strong-tier ToolRank of 72. For healthcare listeners, NEJM AI Grand Rounds is right behind it at 70.
We cover the top 25 of the 178 entries ranked this year. A few come with catches. One top-three show hasn't posted a new episode since January 2025 (Apple Podcasts), and two shows are listed twice, so the 25 listings hold 23 different shows. The full ranking is in the leaderboard below, and a guide to picking shows by role and schedule comes near the end.
Best AI podcasts 2026: quick picks by listener
| If you want | Listen to | Why this one |
|---|---|---|
| Best overall | Lex Fridman Podcast | It's #1 on the 2026 board with a ToolRank of 72 (strong), and its in-depth interviews range well past AI. |
| Best for ML engineers and researchers | TWIML AI Podcast | Sam Charrington's show is the most technical pick of the six, built around interviews with leading AI researchers and practitioners. |
| Best for business and strategy leaders | Me, Myself, and AI | It's weekly, and its 30 to 60 minute episodes are about getting business value from AI. |
| Best for healthcare and clinical AI | NEJM AI Grand Rounds | It's #2 in 2026 with a score of 70, and it's built around AI in medicine. |
| Best if you're tired of interview shows | MIT Technology Review Narrated | Professional voice actors read one of the magazine's stories each week. |
| Best for AI policy and geopolitics | CSIS's AI Policy Podcast | It's #13 on the 2026 board with a 61, still strong tier. |
With room for only one show, pick Lex Fridman for its range. People who write training code or ship models for a living should add TWIML as a second show. It's the more technical of the two, and its back catalog is deep enough that you won't run out of episodes.
What changed for AI podcasts in 2026
More people listen, and YouTube leads
58% of Americans aged 12 and up listen to podcasts every month, up from 55% in 2025. That's about 167 million people. Weekly listening sits at 45% (roughly 130 million), and YouTube carries 39% of it, about twice Spotify's 20%. Apple Podcasts is at 11% (Radio Ink).
That YouTube share matters on a commute. When you find a show there, play ten minutes with your screen off before you queue up a long interview. Shows that don't hold up as audio are easier to follow as text, and AI newsletters and news aggregators that pair well with podcasts cover the same news.
Podcast ad revenue kept climbing
US podcast ad revenue reached $2.862 billion in FY2025, up 17.6% from the year before (Radio Ink).
Several shows on the board are company-made
Weights & Biases makes Gradient Dissent: Conversations on AI. Andreessen Horowitz runs AI + a16z, and Jotform makes the AI Agents Podcast by Jotform.
Plenty of these are good listening. This next part is editorial caution on our part, with no data behind it: check who makes a show before you trust its product takes, and treat product talk on a company-made show the way you'd treat a sponsor read.
The #1 show recorded a State of AI in 2026 episode
The Lex Fridman Podcast released episode #490, "State of AI in 2026," with Nathan Lambert and Sebastian Raschka. Its topics run from scaling laws and agents to China (Lex Fridman Podcast). For one Lex episode about the state of AI this year, start there.
The top five on the 2026 board, reviewed
All five score between 66 and 72 on ToolRank, and all five are strong tier, well above the board average of 51.6. Across the top 25 in the leaderboard above, 13 entries are strong tier and 12 are solid, and you can browse every AI podcast in our directory for the full category.
Lex Fridman Podcast: best for in-depth conversations
Lex Fridman's show tops the 2026 board. It's free with no paid tier, and donations and sponsor reads pay for it (Lex Fridman Podcast). For AI listeners, episode #490 is the natural starting point.
Episode #500, released in 2026, was with Khabib Nurmagomedov (Lex Fridman Podcast). Plenty of episodes aren't about AI at all, so choose by guest instead of working through the whole feed.
NEJM AI Grand Rounds: best for clinicians and health-AI researchers
NEJM Group makes this one. Arjun 'Raj' Manrai and Andrew Beam, who both teach at Harvard Medical School, have hosted it since its 2022 trailer (NEJM AI Grand Rounds). It sits at #2.
The conversations are informal and stay where machine learning meets medicine. Clinicians and people building models for hospitals are its core audience. Outside healthcare, few episodes will apply to your work, and TWIML is a better fit.
Rajeev Kanth's Podcast: a paused archive for aspiring data professionals
Rajeev Kanth's Podcast ranks #3 in 2026 with a ToolRank of 68. Its 127 episodes are career mentorship for people trying to get into data and ML jobs, mostly interview prep and career-path advice (Apple Podcasts).
Treat the paused feed as a back catalog, since its comments on hiring and in-demand skills are more than 18 months old. For anything current, turn to the DataTalks.Club Podcast.
Me, Myself, and AI: best for executives who need business cases
MIT Sloan Management Review and Boston Consulting Group make this #4 show (ToolRank 66) together, with Sam Ransbotham and Shervin Khodabandeh as hosts. For examples to bring to a budget meeting, try the 2026 episode where Stanford economist Erik Brynjolfsson talks about creating shared prosperity with AI (MIT Sloan Management Review).
Its focus is business value. Look elsewhere to hear how models work. The #11 listing is this same show.
Gradient Dissent: best for teams putting models into production
Weights & Biases co-founder Lukas Biewald hosts the #5 show, which scores 66. Guests in 2026 include GitHub CEO Thomas Dohmke and Fireworks AI's Lin Qiao (Weights & Biases). For a team moving models from notebooks into production, it's the one to pick from the top five.
The #15 Gradient Dissent listing is the same show.
Ranks 6 to 13, reviewed
Six listings in a row score 65, so pick by topic in this range.
| Rank | Show | ToolRank | Tier |
|---|---|---|---|
| #6 | AI Loves Data Podcast | 65 | Strong |
| #7 | TWIML AI Podcast | 65 | Strong |
| #8 | MIT Technology Review Narrated | 65 | Strong |
| #9 | ACM ByteCast | 65 | Strong |
| #10 | Earley AI Podcast | 65 | Strong |
| #11 | Me, Myself, and AI Podcast (same show as #4) | 65 | Strong |
| #12 | Google DeepMind: The Podcast | 63 | Strong |
| #13 | The AI Policy Podcast (CSIS) | 61 | Strong |
AI Loves Data Podcast: best for enterprise data and AI leaders
Q McCallum and Anna Anisin host the AI Loves Data Podcast, the renamed Data Science Salon Podcast, and it's tied to the Data Science Salon and AI Loves Data conference series (AI Loves Data). Guests come from data science and machine learning. The talk leans toward big-company work such as cloud modernization and scaling LLM-powered systems.
Most episodes will apply to your job when you run a data team inside a large company.
TWIML AI Podcast: best weekly show for ML practitioners
Pick TWIML for the most technical listen in this group. Sam Charrington hosts the free weekly show, which had passed 770 episodes in 2026 (TWIML). Guests are leading AI researchers and practitioners.
That archive size is also its hurdle. Don't start at episode one. Search it for whatever you're working on this quarter and play the most recent few episodes on that topic.
MIT Technology Review Narrated: best for narrated tech journalism
Each week, professional voice actors read an MIT Technology Review story. The feed has 197 episodes since 2020, including "What's next for AI in 2026" (Apple Podcasts). Start with that one.
Each episode is a single reported story with no guests. The feed also covers the magazine's whole beat, so AI is one subject among several. It's the pick here when you'd rather hear reporting than a chat.
ACM ByteCast: best for computing research and career stories
ACM ByteCast is ACM's official interview show, with a rotating group of five hosts that includes Scott Hanselman. Episode 89, released in 2026, had Scale AI co-founder Lucy Guo as the guest (ACM ByteCast). Guests talk through their experiences and lessons learned, which helps when you're early in research or engineering work.
Its episode numbers are still in the 80s, a small archive next to TWIML's. It also covers all of computing, so AI shares the feed with cybersecurity and other fields.
Earley AI Podcast: best for information architecture and data governance
Seth Earley, founder of Earley Information Science, hosts the Earley AI Podcast. Episode 99 was "Data Governance in the AI Era" with Zoher Karu, and the show has no paid tier (Earley Information Science). For an AI project that's stuck because nobody trusts the data underneath it, we'd start here before any other show in this group.
The official page gives no release schedule, so don't count on a weekly episode.
Google DeepMind: The Podcast: an accessible intro from inside a frontier lab
Professor Hannah Fry hosts Google DeepMind: The Podcast, and episodes run 30 to 60 minutes on subjects such as generative AI and healthcare. The show came back for a second season (Google DeepMind). In our view it's the easiest one here to send a colleague who's new to AI.
The AI Policy Podcast (CSIS): best for regulation and geopolitics
Aalok Mehta hosts this CSIS show every two weeks, covering AI regulation and what AI means for national security (CSIS). Start here when your work involves compliance or government contracts.
Expect little engineering detail.
The rest of the top 25: where the solid tier is worth your time
Every show from #14 to #25 is solid tier, with ToolRank scores from 59 down to 53, and the table at the end of this section lists each one. #15 is the Gradient Dissent duplicate. The rest split into two groups: shows for people who build and shows for people who plan or market.
For builders and MLOps teams
The Robot Brains Podcast has Pieter Abbeel interviewing researchers and entrepreneurs working on AI and robotics. Pick it when your work goes beyond software.
The DataTalks.Club Podcast runs from putting GenAI into production to MLOps, with a career angle for data people moving into AI engineering. Talking Machines mixes expert conversations with listener questions. Katherine Gorman and Neil Lawrence host it.
Anyone running models in production should pick the MLOps.community Podcast first. Demetrios hosts it weekly, and the conversations stay close to what practitioners hit when they deploy agents and LLMs.
For business and news listeners
For weekly tech news, go with Hard Fork from The New York Times. Kevin Roose and Casey Newton go through the week's tech stories, and it's the easiest way in this range to keep up in one episode.
Azeem Azhar's Exponential View looks at how fast-moving technology changes business and society. Applied AI Pod talks with founders and practitioners about AI in real deployments.
The HumAIn Podcast is David Yakobovitch's fireside-chat show with AI leaders. Marketers get Unprompted: AI, Marketing and You, an Unbounce show hosted by Pete Housley.
Two company-made shows sit near the top of this range: AI + a16z and Jotform's AI Agents Podcast, which Demetri Panici hosts.
| Show | Rank | ToolRank | Good for |
|---|---|---|---|
| The Robot Brains Podcast | #14 | 59 | Robotics and AI research |
| Gradient Dissent | #15 | 59 | Same show as #5 |
| AI + a16z | #16 | 58 | Andreessen Horowitz's take on AI |
| AI Agents Podcast by Jotform | #17 | 58 | AI agents and automation |
| Azeem Azhar's Exponential View | #18 | 57 | Business strategy |
| DataTalks.Club Podcast | #19 | 57 | Production ML and data careers |
| Unprompted: AI, Marketing and You | #20 | 56 | Marketing |
| Applied AI Pod | #21 | 56 | Real-world deployments |
| Hard Fork | #22 | 55 | Weekly tech news |
| HumAIn Podcast | #23 | 54 | Interviews with AI leaders |
| Talking Machines Podcast | #24 | 53 | ML conversations and listener questions |
| MLOps.community Podcast | #25 | 53 | Production ML |
Ranks 26 to 40 worth sampling
None of these made the top 25, and some are still worth a spot in your queue. These six stand out by topic.
- No Priors (#33) has Elad Gil and Sarah Guo interviewing AI researchers and founders.
- Super Data Science (#32) is hosted by Jon Krohn and mixes machine learning topics with data career advice.
- DataFramed (#31) is DataCamp's weekly show about how AI and data are changing the world.
- Data Skeptic (#35) covers AI news, from research results to what industry leaders are doing.
- The AI Safety Newsletter Podcast (#38) reads the Center for AI Safety's newsletter aloud every day.
- Tech Talks Daily (#26) is a daily interview show with tech and business leaders, hosted by Neil C. Hughes.
Add Super Data Science first for career-minded listening. The AI Safety Newsletter Podcast makes the better daily habit when safety is your beat.
For a shorter list with only the top names, see our top 15 AI podcasts list.
How to choose an AI podcast for your role and schedule
Pick by the work you do and how many minutes you've got. Use the rank to break ties.
Start with your role, then check the rank
A one-point gap in ToolRank tells you far less than whether a show covers the problems you deal with at work. Find your role in the table below and start there.
| If you are | Start with | Add as a second show |
|---|---|---|
| An ML or platform engineer | TWIML AI Podcast (#7) | Gradient Dissent (#5) or MLOps.community Podcast (#25) |
| An executive or strategy lead | Me, Myself, and AI (#4) | Azeem Azhar's Exponential View (#18) |
| A clinician or health-AI researcher | NEJM AI Grand Rounds (#2) | Google DeepMind: The Podcast (#12) |
| Working in policy or government affairs | The AI Policy Podcast (CSIS) (#13) | Hard Fork (#22) for the weekly news |
| Moving into a data career | DataTalks.Club Podcast (#19) | Rajeev Kanth's Podcast (#3), as optional back-catalog listening |
Career changers get current topics from DataTalks.Club and can dip into Rajeev Kanth's archive for extra interview prep.
Match the format to your schedule
Me, Myself, and AI and Google DeepMind: The Podcast both run 30 to 60 minutes an episode, so one fills a long drive or a pair of short ones. MIT Technology Review Narrated gives you one self-contained story a week. Tech Talks Daily and the AI Safety Newsletter Podcast publish every day, while the CSIS show comes out every two weeks.
About ToolRank
ToolRank is ToolPotion's independent ranking, and we keep every board up to date through the year. No show can pay for its placement. You can see where every show ranks or browse all ToolRank leaderboards.
Frequently asked questions
What is the best AI podcast in 2026?
The Lex Fridman Podcast is #1 on the 2026 board with a ToolRank score of 72, the highest score in the top 25. It's a general interview show, so for AI start with its State of AI in 2026 episode (#490) with Nathan Lambert and Sebastian Raschka.
Are the best AI podcasts free to listen to?
The ones with published pricing are. The Lex Fridman Podcast has no paid tier and runs on donations and sponsor reads. TWIML describes itself as a free weekly show, and the Earley AI Podcast lists no paid tier on its official page. For other shows on the board, check the show's own page.
Which AI podcast is best for machine learning engineers?
Start with the TWIML AI Podcast (#7), Sam Charrington's weekly interview show with leading AI researchers and practitioners. Add Gradient Dissent: Conversations on AI (#5) as your second show for conversations about getting models into production. When deployment is most of your job, the MLOps.community Podcast (#25) covers that ground every week.
What's a good AI podcast for business leaders without a technical background?
Pick Me, Myself, and AI, #4 on the 2026 board with a ToolRank score of 66. MIT Sloan Management Review and Boston Consulting Group make it together, and it comes out weekly. For data governance questions, add the Earley AI Podcast (#10).
Which AI podcasts fit a regular commute?
Me, Myself, and AI (#4) is our pick, with weekly episodes of 30 to 60 minutes. Google DeepMind: The Podcast (#12) runs the same length. For a new episode every day, try Tech Talks Daily (#26).
Are Me, Myself, and AI and Gradient Dissent listed twice because they're different shows?
No, each pair is one show with two entries. Me, Myself, and AI (#4) and Me, Myself, and AI Podcast (#11) are the same MIT Sloan Management Review and BCG series. Gradient Dissent: Conversations on AI (#5) and Gradient Dissent (#15) share one Apple Podcasts ID, 1504567418, and the same host, Lukas Biewald. Subscribe to each show once and you'll get every episode.
































