Top AI Podcasts in 2025
Artificial podcasts have become a vital resource for anyone eager to keep pace with rapid advances in AI. Just AI News has gathered 20 standout shows that cover everything from hands-on technical guides to big-picture discussions on AI’s impact. Whether you’re a developer hunting code-level tips or a manager seeking practical use cases, these podcasts offer expert voices, real-world insights, and inspiring stories to fuel your understanding—and your next project.
1. The TWIML AI Podcast
Hosted by Sam Charrington, this weekly show digs into machine learning and AI research with academics, startup founders, and engineers. What sets it apart is Sam’s knack for turning complex papers into clear takeaways. Episodes swing from deep-learning breakthroughs to case studies in industry, making it ideal for listeners who want a thorough, yet accessible, look at what’s happening in AI today.
Listen to: “Waymo’s Foundation Model for Autonomous Driving,” featuring Drago Anguelov on scaling neural networks in self-driving cars.
2. Google DeepMind: the Podcast
Mathematician and broadcaster Hannah Fry guides you through DeepMind’s work, from early wins like AlphaGo to protein-folding breakthroughs with AlphaFold. Each season shifts focus—basics and milestones, practical applications, then the ethics and future of AGI. Thanks to high production values and expert guests, it’s a compelling way to see how one of the world’s most ambitious AI labs tackles problems.
Listen to: “Unreasonably Effective AI with Demis Hassabis,” on Gemini’s multimodal capabilities and the road toward general intelligence.
3. AI in Business
Daniel Faggella of Emerj AI Research cuts through hype to show how companies actually use AI for profit. Weekly interviews with executives and researchers highlight real deployments—fraud detection in banking, supply-chain optimization, and more. If your focus is ROI and strategy, this podcast offers concrete advice on linking AI initiatives to business goals.
Listen to: “How Responsible AI is Shaping the Future of Banking and Finance,” with Shubhojit Agarwal from U.S. Bank.
4. The AI X-risk Research Podcast (AXRP)
Daniel Filan spotlights the long-term risks of advanced AI. Each episode examines a latest paper or project on safety, alignment, and existential concerns. While the tone is academic, it never feels distant—guests explain technical ideas in a way that keeps the conversation grounded in why it matters for society.
Listen to: “Anthony Aguirre on the Future of Life Institute,” exploring policy and research efforts to steer AI toward human-friendly outcomes.
5. No Priors
Venture capitalist Sarah Guo and entrepreneur Elad Gil invite engineers, researchers, and founders for candid chats on AI’s next frontiers. Their investor perspective makes for lively discussions about market trends, potential breakthroughs, and societal shifts. Expect a relaxed pace, plenty of curiosity, and occasional debates on where AI could head next.
Listen to: “Can Small Models Outperform? Emad Mostaque of Stability AI,” on open-source AI and the future of generative models.
6. AI & I
Dan Shipper brings a human touch to AI by focusing on personal stories. Guests—from authors to creators—share how they weave AI into their workflows. Rather than jargon-heavy talks, this podcast explores how tools like language models shape creativity, productivity, and daily life. It’s a friendly entry point for those curious about AI’s practical and creative uses.
Listen to: “How to Predict the Future Like Kevin Kelly,” on foresight methods that anyone can apply.
7. Latent.Space
Co-hosts Alessio Fanelli and Swyx go deep on engineering challenges and business strategies driving AI projects. Recorded mostly in person, episodes feel spontaneous and genuine. You’ll hear first-hand accounts of building real systems—whether it’s scaling a startup or navigating research hurdles. This show is perfect for engineers and product managers who want an insider’s view.
Listen to: “The Rise of the AI Engineer,” on the evolving role of AI professionals across industries.
8. The Gradient Podcast
An offshoot of an online magazine, this series features rotating hosts who interview researchers about new papers, algorithms, and ethical questions. Even when topics get technical—think panpsychism or HCI—the hosts make sure explanations stay clear. If you enjoy university-style discussions without the formal lecture feel, this podcast offers thoughtful, well-paced conversations.
Listen to: “2024 in AI, with Nathan Benaich,” reviewing the year’s most significant advances.
9. Lex Fridman Podcast
MIT researcher Lex Fridman invites luminaries from AI, neuroscience, and philosophy for marathon interviews. Conversations can run two to three hours, giving guests room to explore ideas fully. While not every episode is strictly AI-focused, many feature pioneers like Demis Hassabis or Sam Altman. Lex’s calm, curious style makes these lengthy talks surprisingly engaging.
Listen to: “Sam Altman: OpenAI CEO on GPT-4 and the Future of AI.”
10. Machine Learning Street Talk (MLST)
Dr. Tim Scarfe and co-hosts challenge hype with rigorous, paper-by-paper analyses. Episodes often exceed two hours and may include panel debates. If you’re comfortable with equations and enjoy probing the philosophical side of AI, MLST offers a deep dive into alignment, causality, and the theory behind modern models.
Listen to: “Yoshua Bengio – Designing Out Agency for Safe AI,” on risks of goal-seeking systems.
11. NVIDIA’s AI Podcast
Journalist Noah Kravitz highlights real AI applications—from restaurant recommendations to climate science—often featuring GPU-driven projects. Each 20- to 30-minute episode focuses on one story, told in straightforward language. Even when backed by a major tech company, the interviews remain honest and informative.
Listen to: “Isomorphic Labs: AI-Driven Drug Discovery,” on treating biology as data and using AlphaFold in pharmaceuticals.
12. Data Skeptic
Kyle Polich takes a methodical look at AI and statistics, dedicating whole seasons to themes like interpretability or fake-news detection. His questioning style and mini-explanations make complex methods easier to follow. If you value measured, critical insight over hype, this podcast offers a balanced exploration of what AI can—and can’t—achieve.
Listen to: “Interpretability – Interview with Christoph Molnar,” on techniques for making black-box models more transparent.
13. Practical AI
Chris Benson and Daniel Whitenack focus on plug-and-play AI: which libraries to choose, how to set up pipelines, and what to watch for in deployment. The tone is upbeat, with a dash of light banter before the technical deep dive. It’s a solid resource for developers and data scientists who want no-nonsense, code-ready guidance.
Listen to: “AI Is More Than GenAI,” on the foundations of AI systems beyond generative models.
14. Eye on AI
Veteran correspondent Craig S. Smith interviews researchers and policymakers to place AI advances in context—political, social, and ethical. His journalistic instincts ensure that each episode answers “why it matters” in clear terms. If you want to see AI developments against the backdrop of global events, this show delivers.
Listen to: “Pedro Domingos on the Five Tribes of AI,” mapping out the main approaches to achieving general intelligence.
15. The AI Daily Brief
Nathaniel “NLW” Whittemore’s short, daily updates cover the latest headlines and trends. In just 10–20 minutes, you’ll get summaries of new model releases, policy moves, and community debates—plus NLW’s take on what to watch next. It’s like having a smart friend deliver the AI news over coffee.
Listen to: “Is Open Source AI Falling Behind?” on Meta’s LlamaCon and the state of open vs. proprietary models.
16. Brain Inspired
Neuroscientist Paul Middlebrooks bridges brain science and AI, exploring how each field can learn from the other. Conversations tackle topics like time perception in the brain or the neural basis of creativity. Expect in-depth interviews that move at a steady pace—ideal for anyone curious about intelligence in both living and artificial systems.
Listen to: “Consciousness, Time, and Organotypic Dynamics,” with Dean Buonomano on neural mechanisms of time.
17. Cognitive Revolution
Nathan Labenz and Erik Torenberg mix paper summaries with interviews of AI builders. One week they dissect GPT-4’s technical report, the next they speak with a robotics startup CEO. If you like an analytical approach balanced with industry insight, this podcast offers a thoughtful take on where AI is headed.
Listen to: “The Adversarial Mind: Defeating AI Defenses,” with Nicholas Carlini on securing machine-learning models.
18. Me, Myself, and AI
Produced by MIT Sloan Management Review and BCG, this show zeroes in on enterprise success stories. Hosts Sam Ransbotham and Shervin Khodabandeh ask leaders how they got buy-in, built teams, and measured ROI. With guests from PayPal, IKEA, and beyond, it’s a master class in scaling AI in established organizations.
Listen to: “Investing in the Last Mile: PayPal’s Khatereh Khodavirdi,” on crafting seamless AI experiences for customers.
19. The New Quantum Era
Sebastian Hassinger and Kevin Rowney guide non-physicists through quantum computing’s twists and turns. From qubits to quantum networks, episodes balance technical detail with clear analogies. As AI and quantum tech intersect more, understanding these basics can give you an edge.
Listen to: “Quantum Memories with Steve Girvin,” on why stable memory is key to future quantum machines.
20. The Robot Brains Podcast
AI pioneer Pieter Abbeel speaks with researchers building adaptable robots. Interviews cover everything from warehouse automation to philosophical questions about machine cognition. Pieter’s insider status means you’ll hear cutting-through-the-noise discussions on embodied intelligence.
Listen to: “Equipping AI with Higher-Level Cognition and Creativity,” featuring Yoshua Bengio on infusing robots with more human-like thinking.
Whether you’re coding a new model, guiding an AI rollout, or simply curious about tomorrow’s technology, this collection has something for you. Plug in your headphones and discover the voices steering today’s AI discussions—and those imagining what comes next.
Author and Reference
This new was written by Genaro Palma, originally inspired in Best AI Podcasts, published at JustAINews.com