> ## Documentation Index
> Fetch the complete documentation index at: https://usefulai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Best AI Podcasts to Listen to in 2026

export const items = [
  {
    "slug": "hard-fork-podcast",
    "name": "Hard Fork",
    "url": "https://podcasts.apple.com/us/podcast/hard-fork/id1528594034",
    "image": "/images/feeds/podcasts/hard-fork-podcast.png",
    "bestFor": "Weekly technology and AI news",
    "metric": "4.4 ★ · 10,000+",
    "facts": [
      "4.4 ★ · 10,000+",
      "49 min episodes",
      "Weekly"
    ],
    "about": "Kevin Roose and Casey Newton report and debate the week's most consequential technology stories, with AI now occupying much of the show.",
    "take": "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.",
    "highlights": [
      {
        "title": "Do Social Media Bans Work? + A Conversation About A.I. Consciousness + Tool Time",
        "url": "https://www.nytimes.com/column/hard-fork",
        "date": "2026-07-10"
      },
      {
        "title": "Fable Ban Reversed + Dr. Dana Suskind on Parenting With A.I. + Prediction Market Drama",
        "url": "https://www.nytimes.com/column/hard-fork",
        "date": "2026-07-03"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/hard-fork/id1528594034"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/44fllCS2FTFr2x2kjP9xeT"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@hardfork"
      }
    ]
  },
  {
    "slug": "ai-daily-brief-podcast",
    "name": "The AI Daily Brief",
    "url": "https://podcasts.apple.com/us/podcast/the-ai-daily-brief-artificial-intelligence-news/id1680633614",
    "image": "/images/feeds/podcasts/ai-daily-brief-podcast.png",
    "bestFor": "Daily AI news and strategy",
    "metric": "4.4 ★ · 3,000+",
    "facts": [
      "4.4 ★ · 3,000+",
      "27 min episodes",
      "About 27.9 episodes/month"
    ],
    "about": "Nathaniel Whittemore publishes concise daily analysis that connects the immediate AI news cycle to larger economic, policy, and industry narratives.",
    "take": "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.",
    "highlights": [
      {
        "title": "ChatGPT Just Became a Work Agent",
        "url": "https://podcasters.spotify.com/pod/show/nlw/episodes/ChatGPT-Just-Became-a-Work-Agent-e3lu1ln",
        "date": "2026-07-10"
      },
      {
        "title": "How the 4 New AI Models Change How You Work",
        "url": "https://podcasters.spotify.com/pod/show/nlw/episodes/How-the-4-New-AI-Models-Change-How-You-Work-e3lsgnh",
        "date": "2026-07-09"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/the-ai-daily-brief-artificial-intelligence-news/id1680633614"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/7gKwwMLFLc6RmjmRpbMtEO"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@AIDailyBrief"
      }
    ]
  },
  {
    "slug": "dwarkesh-patel-podcast",
    "name": "Dwarkesh Podcast",
    "url": "https://podcasts.apple.com/us/podcast/dwarkesh-podcast/id1516093381",
    "image": "/images/feeds/podcasts/dwarkesh-patel-podcast.png",
    "bestFor": "Deep interviews on AI, science, and history",
    "metric": "4.6 ★ · 2,000+",
    "facts": [
      "4.6 ★ · 2,000+",
      "99 min episodes",
      "About 3.6 episodes/month"
    ],
    "about": "Dwarkesh Patel publishes deeply researched, long-form interviews with major researchers, executives, and scholars across AI and adjacent fields.",
    "take": "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.",
    "highlights": [
      {
        "title": "Adam Brown – A deep but accessible introduction to general relativity",
        "url": "https://www.dwarkesh.com/p/adam-brown-gr",
        "date": "2026-07-10"
      },
      {
        "title": "Grant Sanderson – AI and the future of math",
        "url": "https://www.dwarkesh.com/p/grant-sanderson-2",
        "date": "2026-06-30"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/dwarkesh-podcast/id1516093381"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/4JH4tybY1zX6e5hjCwU6gF"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@dwarkeshpatel"
      }
    ]
  },
  {
    "slug": "everyday-ai-podcast",
    "name": "Everyday AI Podcast",
    "url": "https://podcasts.apple.com/us/podcast/everyday-ai-podcast-an-ai-and-chatgpt-podcast/id1683401861",
    "image": "/images/feeds/podcasts/everyday-ai-podcast.png",
    "bestFor": "AI tools for everyday work",
    "metric": "4.5 ★ · 1,000+",
    "facts": [
      "4.5 ★ · 1,000+",
      "38 min episodes",
      "About 20.9 episodes/month"
    ],
    "about": "Jordan Wilson publishes a daily show and livestream aimed at helping general professionals understand current AI tools and use them at work.",
    "take": "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.",
    "highlights": [
      {
        "title": "Ep 816: ChatGPT Work and GPT-5.6 Sol: What's New, 5 Overlooked Features and 1 Hot Take",
        "url": "https://podcasts.apple.com/us/podcast/ep-816-chatgpt-work-and-gpt-5-6-sol-whats-new-5/id1683401861?i=1000776263091",
        "date": "2026-07-10"
      },
      {
        "title": "Ep 815: New ChatGPT Voice Model, Grok 4.5, Meta's AI Comeback, and More",
        "url": "https://podcasts.apple.com/us/podcast/ep-815-new-chatgpt-voice-model-grok-4-5-drops-metas/id1683401861?i=1000776120109",
        "date": "2026-07-09"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/everyday-ai-podcast-an-ai-and-chatgpt-podcast/id1683401861"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/6bSPqenYtlBc7AU6H5sjca"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@EverydayAI_"
      }
    ]
  },
  {
    "slug": "how-i-ai-podcast",
    "name": "How I AI",
    "url": "https://podcasts.apple.com/us/podcast/how-i-ai/id1809663079",
    "image": "/images/feeds/podcasts/how-i-ai-podcast.png",
    "bestFor": "How professionals actually use AI",
    "metric": "4.9 ★ · 1,000+",
    "facts": [
      "4.9 ★ · 1,000+",
      "34 min episodes",
      "About 9.3 episodes/month"
    ],
    "about": "Claire Vo asks practitioners to explain and demonstrate a specific AI workflow that improves the quality or efficiency of their work.",
    "take": "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.",
    "highlights": [
      {
        "title": "GPT-5.6 Sol vs. Claude Fable: Why OpenAI’s new model crushes my benchmark",
        "url": "https://podcasters.spotify.com/pod/show/pen-name/episodes/GPT-5-6-Sol-vs--Claude-Fable-Why-OpenAIs-new-model-crushes-my-benchmark-e3lrcne",
        "date": "2026-07-09"
      },
      {
        "title": "What a harness is and how to build one with Claude Agent SDK",
        "url": "https://podcasters.spotify.com/pod/show/pen-name/episodes/What-a-harness-is-and-how-to-build-one-with-Claude-Agent-SDK-e3lnv0k",
        "date": "2026-07-08"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/how-i-ai/id1809663079"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/4aRP2XSavdtrLG5FZoonOK"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@howiaipodcast"
      }
    ]
  },
  {
    "slug": "google-deepmind-the-podcast",
    "name": "Google DeepMind: The Podcast",
    "url": "https://podcasts.apple.com/us/podcast/google-deepmind-the-podcast/id1476316441",
    "image": "/images/feeds/podcasts/google-deepmind-the-podcast.png",
    "bestFor": "Behind the scenes of DeepMind research",
    "metric": "4.9 ★ · 900+",
    "facts": [
      "4.9 ★ · 900+",
      "45 min episodes",
      "About 0.9 episodes/month"
    ],
    "about": "Mathematician and broadcaster Hannah Fry goes inside Google DeepMind to explain the lab's research, people, and scientific applications.",
    "take": "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.",
    "highlights": [
      {
        "title": "Understanding the inner thoughts of AI",
        "url": "https://deepmind.com/podcast",
        "date": "2026-07-10"
      },
      {
        "title": "When millions of AI agents meet",
        "url": "https://deepmind.com/podcast",
        "date": "2026-06-23"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/google-deepmind-the-podcast/id1476316441"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/39fjU5Q5L5UecTCRMeqjwb"
      }
    ]
  },
  {
    "slug": "the-artificial-intelligence-show-podcast",
    "name": "The Artificial Intelligence Show",
    "url": "https://podcasts.apple.com/us/podcast/the-artificial-intelligence-show/id1548733275",
    "image": "/images/feeds/podcasts/the-artificial-intelligence-show-podcast.png",
    "bestFor": "AI strategy for business leaders",
    "metric": "4.8 ★ · 600+",
    "facts": [
      "4.8 ★ · 600+",
      "83 min episodes",
      "About 5.5 episodes/month"
    ],
    "about": "Paul Roetzer and Mike Kaput analyze the week's AI developments for business, marketing, and leadership audiences.",
    "take": "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.",
    "highlights": [
      {
        "title": "#222:  GPT-5.6, Government Staggers AI Model Releases, Agents Are Transforming Work & Growing Data Center Backlash",
        "url": "https://podcast.smarterx.ai/",
        "date": "2026-06-30"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/the-artificial-intelligence-show/id1548733275"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/6EVaCucTjIPmJosh3jQui0"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@aishowpod"
      }
    ]
  },
  {
    "slug": "twiml-podcast",
    "name": "The TWIML AI Podcast",
    "url": "https://podcasts.apple.com/us/podcast/the-twiml-ai-podcast-formerly-this-week-in-machine/id1116303051",
    "image": "/images/feeds/podcasts/twiml-podcast.png",
    "bestFor": "Research and production machine learning",
    "metric": "4.8 ★ · 600+",
    "facts": [
      "4.8 ★ · 600+",
      "60 min episodes",
      "About 1.8 episodes/month"
    ],
    "about": "Sam Charrington interviews researchers and practitioners about machine-learning advances and the systems required to deploy them.",
    "take": "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.",
    "highlights": [
      {
        "title": "How AI Learns to Smell with Alex Wiltschko - #771",
        "url": "https://twimlai.com/podcast/twimlai/how-ai-learns-smell",
        "date": "2026-07-08"
      },
      {
        "title": "Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770",
        "url": "https://twimlai.com/podcast/twimlai/why-ai-agents-break-genai-security-model",
        "date": "2026-06-16"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/the-twiml-ai-podcast-formerly-this-week-in-machine/id1116303051"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/2sp5EL7s7EqxttxwwoJ3i7"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@twimlai"
      }
    ]
  },
  {
    "slug": "machine-learning-street-talk-podcast",
    "name": "Machine Learning Street Talk",
    "url": "https://podcasts.apple.com/us/podcast/machine-learning-street-talk-mlst/id1510472996",
    "image": "/images/feeds/podcasts/machine-learning-street-talk-podcast.png",
    "bestFor": "Deep debate about machine intelligence",
    "metric": "4.8 ★ · 500+",
    "facts": [
      "4.8 ★ · 500+",
      "82 min episodes",
      "About 2.1 episodes/month"
    ],
    "about": "Machine Learning Street Talk hosts long, technically argumentative conversations with researchers about the foundations and direction of AI.",
    "take": "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.",
    "highlights": [
      {
        "title": "The Benchmark With No Instructions — ARC-AGI-3 (winning team!)",
        "url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/The-Benchmark-With-No-Instructions--ARC-AGI-3-winning-team-e3lh6i9",
        "date": "2026-07-01"
      },
      {
        "title": "The Thermodynamic AI Computing Chip - Thomas Ahle",
        "url": "https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/The-Thermodynamic-AI-Computing-Chip---Thomas-Ahle-e3ld781",
        "date": "2026-06-28"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/machine-learning-street-talk-mlst/id1510472996"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/02e6PZeIOdpmBGT9THuzwR"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@machinelearningstreettalk"
      }
    ]
  },
  {
    "slug": "ai-for-humans-podcast",
    "name": "AI For Humans",
    "url": "https://podcasts.apple.com/us/podcast/ai-for-humans-weekly-ai-news-tools-trends/id1682409647",
    "image": "/images/feeds/podcasts/ai-for-humans-podcast.png",
    "bestFor": "Entertaining weekly AI news",
    "metric": "4.9 ★ · 500+",
    "facts": [
      "4.9 ★ · 500+",
      "26 min episodes",
      "About 8.0 episodes/month"
    ],
    "about": "Kevin Pereira and Gavin Purcell turn the week's major AI news and tools into an accessible, personality-led show with hands-on testing.",
    "take": "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.",
    "highlights": [
      {
        "title": "OpenAI's GPT-5.6 Sol Is Here. And It's Really Freaking Good.",
        "url": "https://www.aiforhumans.show/",
        "date": "2026-07-10"
      },
      {
        "title": "Fable 5 Survives (For Now). And Anthropic Can Read Claude's Mind.",
        "url": "https://www.aiforhumans.show/",
        "date": "2026-07-08"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/ai-for-humans-weekly-ai-news-tools-trends/id1682409647"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/5FId0qPP5SldltQTgVFTxq"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@AIForHumansShow"
      }
    ]
  },
  {
    "slug": "last-week-in-ai-podcast",
    "name": "Last Week in AI",
    "url": "https://podcasts.apple.com/us/podcast/last-week-in-ai/id1502782720",
    "image": "/images/feeds/podcasts/last-week-in-ai-podcast.png",
    "bestFor": "Comprehensive weekly AI news",
    "metric": "4.6 ★ · 400+",
    "facts": [
      "4.6 ★ · 400+",
      "104 min episodes",
      "About 4.0 episodes/month"
    ],
    "about": "Last Week in AI reviews the week's major AI stories in long episodes that span research, products, companies, and policy.",
    "take": "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.",
    "highlights": [
      {
        "title": "#251 - Mythos Back, Sonnet 5, Etched, LongCat",
        "url": "https://podcasts.apple.com/us/podcast/251-mythos-back-sonnet-5-etched-longcat/id1502782720?i=1000776083610",
        "date": "2026-07-09"
      },
      {
        "title": "#250 - Mythos Mess, GPT 5.6-Sol, GLM 5.2",
        "url": "https://podcasts.apple.com/us/podcast/250-mythos-mess-gpt-5-6-sol-glm-5-2/id1502782720?i=1000775770518",
        "date": "2026-07-07"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/last-week-in-ai/id1502782720"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/17HiNdxcoKJLLNibIAyUch"
      }
    ]
  },
  {
    "slug": "practical-ai-podcast",
    "name": "Practical AI",
    "url": "https://podcasts.apple.com/us/podcast/practical-ai/id1406537385",
    "image": "/images/feeds/podcasts/practical-ai-podcast.png",
    "bestFor": "Making AI useful in real systems",
    "metric": "4.5 ★ · 400+",
    "facts": [
      "4.5 ★ · 400+",
      "48 min episodes",
      "About 3.7 episodes/month"
    ],
    "about": "Practical AI brings engineers, business users, and researchers together around accessible implementations and real-world AI tradeoffs.",
    "take": "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.",
    "highlights": [
      {
        "title": "Building Durable AI Agents",
        "url": "https://share.transistor.fm/s/facb92e2",
        "date": "2026-07-09"
      },
      {
        "title": "Image Generation and Visual Intelligence with Black Forest Labs",
        "url": "https://share.transistor.fm/s/6d8dad5f",
        "date": "2026-07-02"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/practical-ai/id1406537385"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/1LaCr5TFAgYPK5qHjP3XDp"
      }
    ]
  },
  {
    "slug": "no-priors-podcast",
    "name": "No Priors",
    "url": "https://podcasts.apple.com/us/podcast/no-priors-artificial-intelligence-technology-startups/id1668002688",
    "image": "/images/feeds/podcasts/no-priors-podcast.png",
    "bestFor": "AI builders and market structure",
    "metric": "4.4 ★ · 300+",
    "facts": [
      "4.4 ★ · 300+",
      "42 min episodes",
      "About 4.3 episodes/month"
    ],
    "about": "Investors Sarah Guo and Elad Gil interview researchers, founders, and executives about the technical and market questions shaping AI.",
    "take": "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.",
    "highlights": [
      {
        "title": "Travel Through the Lens of AI with Booking.com CEO Glenn Fogel",
        "url": "https://podcasts.apple.com/us/podcast/travel-through-the-lens-of-ai-with-with-booking/id1668002688?i=1000776101071",
        "date": "2026-07-09"
      },
      {
        "title": "How Nuclear Will Unlock Energy Abundance with Valar Atomics",
        "url": "https://podcasts.apple.com/us/podcast/how-nuclear-will-unlock-energy-abundance-with-valar/id1668002688?i=1000775189344",
        "date": "2026-07-02"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/no-priors-artificial-intelligence-technology-startups/id1668002688"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/0O65xhqvGVhpgdIrrdlEYk"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@nopriorspodcast"
      }
    ]
  },
  {
    "slug": "latent-space-podcast",
    "name": "Latent Space",
    "url": "https://podcasts.apple.com/us/podcast/latent-space-the-ai-engineer-podcast/id1674008350",
    "image": "/images/feeds/podcasts/latent-space-podcast.png",
    "bestFor": "Frontier AI engineering",
    "metric": "4.7 ★ · 300+",
    "facts": [
      "4.7 ★ · 300+",
      "77 min episodes",
      "About 8.2 episodes/month"
    ],
    "about": "Latent Space publishes technical interviews and analysis for AI engineers, focusing on the people and systems shaping the current developer stack.",
    "take": "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.",
    "highlights": [
      {
        "title": "Why AI Infrastructure must evolve for Agent Experience — Akshat Bubna, Modal CTO",
        "url": "https://www.latent.space/p/modal2026",
        "date": "2026-07-08"
      },
      {
        "title": "🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI",
        "url": "https://www.latent.space/p/the-coolest-diffusion-research-isnt",
        "date": "2026-07-01"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/latent-space-the-ai-engineer-podcast/id1674008350"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/2p7zZVwVF6Yk0Zsb4QmT7t"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@LatentSpacePod"
      }
    ]
  },
  {
    "slug": "leveraging-ai-podcast",
    "name": "Leveraging AI",
    "url": "https://podcasts.apple.com/us/podcast/leveraging-ai/id1676634678",
    "image": "/images/feeds/podcasts/leveraging-ai-podcast.png",
    "bestFor": "Practical AI adoption for business leaders",
    "metric": "4.9 ★ · 200+",
    "facts": [
      "4.9 ★ · 200+",
      "44 min episodes",
      "About 8.6 episodes/month"
    ],
    "about": "Isar Meitis publishes news reviews and expert interviews aimed at business professionals turning AI into repeatable operating practices.",
    "take": "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.",
    "highlights": [
      {
        "title": "The Craziest New Releases Week in AI History",
        "url": "https://podcasts.apple.com/us/podcast/308-the-craziest-new-releases-week-in-ai-history/id1676634678?i=1000776386158",
        "date": "2026-07-11"
      },
      {
        "title": "Stop Starting From Scratch: Build AI Projects That Remember",
        "url": "https://podcasts.apple.com/us/podcast/307-stop-starting-from-scratch-build-ai-projects-that/id1676634678?i=1000775768628",
        "date": "2026-07-07"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/leveraging-ai/id1676634678"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/15sY8i7nuCgig542kOKRKW"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@Multiplai_AI"
      }
    ]
  },
  {
    "slug": "me-myself-and-ai-podcast",
    "name": "Me, Myself, and AI",
    "url": "https://podcasts.apple.com/us/podcast/me-myself-and-ai/id1533115958",
    "image": "/images/feeds/podcasts/me-myself-and-ai-podcast.png",
    "bestFor": "How established organizations succeed with AI",
    "metric": "4.8 ★ · 100+",
    "facts": [
      "4.8 ★ · 100+",
      "34 min episodes",
      "About 1.7 episodes/month"
    ],
    "about": "MIT Sloan Management Review interviews leaders responsible for real AI programs inside large organizations, focusing on the difference between value and hype.",
    "take": "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.",
    "highlights": [
      {
        "title": "AI Upskilling at Scale: Bank of America’s Bernard Hampton",
        "url": "https://sloanreview.mit.edu/audio/ai-upskilling-at-scale-bank-of-americas-bernard-hampton",
        "date": "2026-06-22"
      },
      {
        "title": "AI for Interoperability in Health Care: Philips’s Carla Goulart Peron",
        "url": "https://sloanreview.mit.edu/audio/ai-for-interoperability-in-health-care-philipss-carla-goulart-peron",
        "date": "2026-06-01"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/me-myself-and-ai/id1533115958"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/7ysPBcYtOPVgI6W5an6lup"
      }
    ]
  },
  {
    "slug": "eye-on-ai-podcast",
    "name": "Eye on AI",
    "url": "https://podcasts.apple.com/us/podcast/eye-on-a-i/id1438378439",
    "image": "/images/feeds/podcasts/eye-on-ai-podcast.png",
    "bestFor": "Research translated into industry context",
    "metric": "4.7 ★ · 100+",
    "facts": [
      "4.7 ★ · 100+",
      "52 min episodes",
      "About 9.3 episodes/month"
    ],
    "about": "Former New York Times correspondent Craig S. Smith interviews researchers and practitioners to place incremental AI advances in a broader technical and industry context.",
    "take": "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.",
    "highlights": [
      {
        "title": "What Industrial AI Actually Looks Like | Kriti Sharma, Nexus Black",
        "url": "https://aneyeonai.libsyn.com/what-industrial-ai-actually-looks-like-kriti-sharma-nexus-black",
        "date": "2026-07-10"
      },
      {
        "title": "The Biggest AI Security Problem Isn't the Model. It's This. | Devvret Rishi",
        "url": "https://aneyeonai.libsyn.com/the-biggest-ai-security-problem-isnt-the-model-its-this-devvret-rishi",
        "date": "2026-07-07"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/eye-on-a-i/id1438378439"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/5aFnCGDhpL5bGr2uHy4bB5"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@eyeonai3425"
      }
    ]
  },
  {
    "slug": "cognitive-revolution-podcast",
    "name": "The Cognitive Revolution",
    "url": "https://podcasts.apple.com/us/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431",
    "image": "/images/feeds/podcasts/cognitive-revolution-podcast.png",
    "bestFor": "AI builders and research at the frontier",
    "metric": "4.5 ★ · 90+",
    "facts": [
      "4.5 ★ · 90+",
      "114 min episodes",
      "About 9.3 episodes/month"
    ],
    "about": "Nathan Labenz and Erik Torenberg interview researchers, founders, and engineers working on frontier systems and the industries forming around them.",
    "take": "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.",
    "highlights": [
      {
        "title": "AI:AM Highlights: Exploring the J-Space, AI Superforecasters, SambaNova's Chips, & LTX Video Gen",
        "url": "https://www.cognitiverevolution.ai/ai-am-highlights-exploring-the-j-space-ai-superforecasters-sambanova-s-chips-ltx-video-gen/",
        "date": "2026-07-09"
      },
      {
        "title": "Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models",
        "url": "https://www.cognitiverevolution.ai/intelligence-on-the-edge-liquid-ai-s-ramin-hasani-on-the-search-for-device-native-foundation-models/",
        "date": "2026-07-04"
      }
    ],
    "platforms": [
      {
        "label": "Apple",
        "url": "https://podcasts.apple.com/us/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431"
      },
      {
        "label": "Spotify",
        "url": "https://open.spotify.com/show/4X9hLgE3iSKnAhzN2224AJ"
      },
      {
        "label": "YouTube",
        "url": "https://www.youtube.com/@CognitiveRevolutionPodcast"
      }
    ]
  }
];

export const otherFeeds = [
  {
    "slug": "lex-fridman-podcast",
    "name": "Lex Fridman Podcast",
    "url": "https://podcasts.apple.com/us/podcast/lex-fridman-podcast/id1434243584",
    "image": "/images/feeds/podcasts/lex-fridman-podcast.png",
    "bestFor": "Deep conversations across science and technology"
  },
  {
    "slug": "lennys-podcast",
    "name": "Lenny's Podcast",
    "url": "https://podcasts.apple.com/us/podcast/lennys-podcast-product-career-growth/id1627920305",
    "image": "/images/feeds/podcasts/lennys-podcast.png",
    "bestFor": "Product leadership in the AI era"
  },
  {
    "slug": "the-data-exchange-podcast",
    "name": "The Data Exchange",
    "url": "https://podcasts.apple.com/us/podcast/the-data-exchange-with-ben-lorica/id1487704458",
    "image": "/images/feeds/podcasts/the-data-exchange-podcast.png",
    "bestFor": "Enterprise data and AI systems"
  },
  {
    "slug": "data-skeptic-podcast",
    "name": "Data Skeptic",
    "url": "https://podcasts.apple.com/us/podcast/data-skeptic/id890348705",
    "image": "/images/feeds/podcasts/data-skeptic-podcast.png",
    "bestFor": "Applied data science with skepticism"
  },
  {
    "slug": "super-data-science-podcast",
    "name": "Super Data Science",
    "url": "https://podcasts.apple.com/us/podcast/super-data-science-ml-ai-podcast-with-jon-krohn/id1163599059",
    "image": "/images/feeds/podcasts/super-data-science-podcast.png",
    "bestFor": "Applied AI, data careers, and industry practice"
  },
  {
    "slug": "nvidia-ai-podcast",
    "name": "NVIDIA AI Podcast",
    "url": "https://podcasts.apple.com/us/podcast/nvidia-ai-podcast/id1186480811",
    "image": "/images/feeds/podcasts/nvidia-ai-podcast.png",
    "bestFor": "AI applications across industries"
  },
  {
    "slug": "marketing-against-the-grain-podcast",
    "name": "Marketing Against The Grain",
    "url": "https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934",
    "image": "/images/feeds/podcasts/marketing-against-the-grain-podcast.png",
    "bestFor": "AI-powered marketing operations"
  }
];

export const BestForChip = ({ children }) => (
  <span className="inline-flex min-w-0 max-w-full items-center rounded bg-emerald-50 px-1.5 py-[2px] dark:bg-emerald-500/10">
    <span className="truncate text-xs font-medium leading-4 text-emerald-700 dark:text-emerald-400">{children}</span>
  </span>
);

export const Metric = ({ item }) => item.metric ? (
  <span className="inline-flex items-center gap-1 text-[13px] leading-5 uai-ink-muted">
    <span className="tabular-nums uai-ink-strong">{item.metric}</span>
    <Tooltip tip="Weighted listener rating and rounded-down rating count combined across Apple Podcasts and Spotify when both are available."><span className="inline-flex cursor-help uai-ink-muted"><Icon icon="circle-info" size={11} color="currentColor" /><span className="sr-only">Combined Apple Podcasts and Spotify rating</span></span></Tooltip>
  </span>
) : null;

export const FeedRow = ({ item }) => (
  <a href={item.url} target="_blank" rel="noreferrer" className="group flex items-center gap-3 px-4 py-3 no-underline transition-colors hover:bg-zinc-50/60 dark:hover:bg-white/[0.02]">
    {item.image && <img src={item.image} alt="" noZoom className="h-10 w-10 shrink-0 rounded-lg object-cover" />}
    <span className="min-w-0 flex-1">
      <span className="flex min-w-0 flex-wrap items-baseline gap-x-1.5">
        <span className="truncate text-sm font-semibold leading-5 uai-ink-strong">{item.name}</span>
        {item.metric && <span aria-hidden="true" className="uai-ink-muted">&#8729;</span>}
        <Metric item={item} />
      </span>
      <span className="block truncate text-[13px] leading-5 uai-ink-body">{item.bestFor}</span>
    </span>
    <span className="mr-1 flex shrink-0 items-center uai-ink-muted"><Icon icon="chevron-right" size={12} color="currentColor" /></span>
  </a>
);

export const FeedList = ({ items, visible = 7, toggleId }) => (
  <div className="not-prose mb-8 overflow-hidden rounded-xl border border-zinc-200 bg-white dark:border-white/10 dark:bg-white/[0.03]">
    <div className="divide-y divide-zinc-100 dark:divide-white/5">
      {items.slice(0, visible).map((item) => <FeedRow key={item.slug} item={item} />)}
    </div>
    {items.length > visible && (
      <span>
        <input type="checkbox" id={toggleId} className="fy-more-toggle peer sr-only" />
        <span className="hidden divide-y divide-zinc-100 border-t border-zinc-100 peer-checked:block dark:divide-white/5 dark:border-white/5">
          {items.slice(visible).map((item) => <FeedRow key={item.slug} item={item} />)}
        </span>
        <label htmlFor={toggleId} className="flex w-full cursor-pointer items-center justify-center border-t border-zinc-100 bg-zinc-50/60 px-4 py-2.5 text-[13px] font-medium text-zinc-500 transition-colors hover:text-zinc-800 dark:border-white/5 dark:bg-white/[0.02] dark:text-zinc-400 dark:hover:text-zinc-200">
          <span className="fy-more-open flex items-center gap-1.5">Show {items.length - visible} more podcasts <Icon icon="chevron-down" size={14} /></span>
          <span className="fy-more-close items-center gap-1.5">Show less <Icon icon="chevron-up" size={14} /></span>
        </label>
      </span>
    )}
  </div>
);

export const EntryCard = ({ item }) => (
  <section className="not-prose mb-5 rounded-xl border border-zinc-200 bg-white p-5 shadow-sm dark:border-white/10 dark:bg-white/[0.03]">
    <div className="flex items-center gap-3">
      {item.image && <img src={item.image} alt="" noZoom className="h-12 w-12 shrink-0 rounded-lg object-cover" />}
      <div className="min-w-0 flex-1">
        <div className="flex min-w-0 flex-wrap items-center gap-x-2 gap-y-0.5">
          <h2 className="m-0 max-w-full text-xl font-semibold leading-7 tracking-normal">
            <a href={item.url} target="_blank" rel="noreferrer" className="group inline-flex min-w-0 items-center gap-1.5 no-underline uai-ink-strong">
              <span className="min-w-0 break-words underline-offset-4 group-hover:underline">{item.name}</span>
              <span aria-hidden="true" className="flex shrink-0 text-zinc-400 transition-colors group-hover:text-zinc-900 dark:text-zinc-500 dark:group-hover:text-white"><Icon icon="arrow-up-right" size={12} color="currentColor" /></span>
            </a>
          </h2>
          <BestForChip>{item.bestFor}</BestForChip>
        </div>
        {item.facts.length > 0 && <div className="mt-1 flex flex-wrap items-center gap-x-2 text-[13px] leading-5 uai-ink-muted">
          {item.facts.map((fact, index) => <span key={fact} className="inline-flex items-center gap-x-2">{index > 0 && <span aria-hidden="true">&#8729;</span>}<span>{fact}</span>{index === 0 && <Tooltip tip="Weighted listener rating and rounded-down rating count combined across Apple Podcasts and Spotify when both are available."><span className="ml-1 inline-flex cursor-help uai-ink-muted"><Icon icon="circle-info" size={11} color="currentColor" /><span className="sr-only">Combined Apple Podcasts and Spotify rating</span></span></Tooltip>}</span>)}
        </div>}
        {item.platforms.length > 0 && <div className="mt-1 flex flex-wrap items-center gap-x-2 text-[13px] leading-5 uai-ink-muted"><span>Listen on</span>{item.platforms.map((platform) => <a key={platform.url} href={platform.url} target="_blank" rel="noreferrer" className="font-medium uai-ink-strong underline underline-offset-2">{platform.label}</a>)}</div>}
      </div>
    </div>
    <div className="mt-4 text-sm leading-[22px] uai-ink-body">
      <div>{item.about}</div>
      <div className="mt-3">{item.take}</div>
    </div>
    {item.highlights.length > 0 && <div className="mt-4">
      <div className="text-[13px] font-semibold uai-ink-strong">Recent episodes</div>
      <div className="mt-1 divide-y divide-zinc-100 dark:divide-white/5">
        {item.highlights.map((highlight) => <a key={highlight.url} href={highlight.url} target="_blank" rel="noreferrer" className="group flex items-center gap-3 py-2.5 no-underline">
          <span className="shrink-0" style={{ paddingLeft: "2px" }}><Icon icon="podcast" size={15} color="#7c3aed" /></span>
          <span className="min-w-0 flex-1 truncate text-sm font-medium leading-5 uai-ink-body">{highlight.title}</span>
          {highlight.meta && <span className="hidden shrink-0 text-xs tabular-nums uai-ink-muted sm:inline">{highlight.meta}</span>}
          <span className="shrink-0 uai-ink-muted"><Icon icon="arrow-up-right" size={11} color="currentColor" /></span>
        </a>)}
      </div>
    </div>}
  </section>
);

export const OtherFeedLine = ({ item }) => (
  <li className="flex items-baseline gap-2.5 text-sm leading-[22px] uai-ink-body">
    <span aria-hidden="true" className="relative -top-0.5 inline-block h-1.5 w-1.5 shrink-0 rounded-full bg-zinc-300 dark:bg-zinc-600" />
    <span>
      {item.image && <img src={item.image} alt="" noZoom className="relative -top-px mr-1 inline h-4 w-4 rounded-sm object-cover" />}
      <a href={item.url} target="_blank" rel="noreferrer" className="font-medium uai-ink-strong underline underline-offset-2">{item.name}</a>: {item.bestFor}.
    </span>
  </li>
);

<div className="not-prose -mt-5 mb-8 flex flex-wrap items-center gap-x-2 text-sm text-zinc-800 dark:text-zinc-200" style={{ paddingLeft: "2px" }}>
  <span className="inline-flex items-center gap-1.5"><Icon icon="clock-rotate-left" size={10} color="#27272a" /> Updated <time dateTime="2026-07-12">July 12, 2026</time></span>
</div>

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

<FeedList items={items} visible={7} toggleId="fy-more-1" />

{items.map((item) => <EntryCard key={item.slug} item={item} />)}

***

## 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

<ul className="not-prose m-0 my-4 flex list-none flex-col gap-2 p-0">
  {otherFeeds.map((item) => <OtherFeedLine key={item.slug} item={item} />)}
</ul>