AI is evolving fast, with real-world applications across various industries—from retail and logistics to agriculture and healthcare. Whether you're an ML engineer, researcher, product builder, or just curious about the future of artificial intelligence, keeping up with the latest developments helps you stay ahead.
That doesn’t mean you have to read arXiv papers every night. You can follow blogs or YouTube channels—or sometimes, it’s as simple as pressing play on your phone.
Podcasts are a fantastic way to stay informed. They’re free, semi-structured, and packed with insights you can absorb while commuting, walking, or even doing the dishes. The best part? AI podcasts aren’t just about the technical side—they also cover ethics, AGI, deployment, tools, and real business use cases.
But with so many out there, it can be hard to know where to start. That’s why we curated and categorized 11 of the best AI podcasts for you—so you can pick what fits your goals and interests.
Podcasts
1. No Priors
- Host(s): Elad Gil, Sarah Guo
- Frequency: Weekly
- Rating on Apple Podcasts: 4.4
- Topics: Big questions about AI & Future of AI
- One-sentence summary: Leading AI engineers, researchers, and founders discuss big questions around AI.
Hosted by Sarah Guo and Elad Gil, No Priors focuses on the transformative impact of AI, particularly around foundation models and generative technologies. It’s a forward-looking show that invites influential builders, researchers, and investors to unpack the philosophical, technical, and societal implications of AI. Topics range from what AGI could look like to how startups are shaping new markets using AI. The tone is serious but accessible, making it a strong fit for those thinking beyond just code and into systems, culture, and disruption.
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2. AI & I
- Host(s): Dan Shipper
- Frequency: Weekly
- Rating on Apple Podcasts: 4.8
- Topics: Human-centered AI, ethics, inclusive design
- One-sentence summary: Smartest people show how they are using AI in their professional and personal lives.
Dan Shipper interviews knowledge workers, creators, founders, and tech leaders to explore how AI is practically integrated into their workflows. More than just a discussion, Dan often experiments with tools live—prompting chatbots, trying automations, and reflecting on AI’s limitations. It’s a mix of commentary, screencast, and tech exploration that makes AI feel personal and tangible. Perfect for people who want to get better at using AI in real life, not just building it.
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3. Latent Space: The AI Engineer Podcast
- Host(s): Swyx (Shawn Wang), Alessio Fanelli
- Frequency: Weekly
- Rating on Apple Podcasts: 4.7
- Topics: AI engineering, open-source tools, developer workflows, infrastructure
- One-sentence summary: AI engineers share insights on AI engineering for AI engineers.
This is the podcast for people building the backbone of AI systems—engineers, MLOps folks, and open-source contributors. Hosts Swyx and Alessio explore the AI stack through interviews with developers and startup founders who are creating tooling for LLMs, vector search, inference optimization, and everything in between. You’ll find episodes dissecting the evolution of the AI engineer as a role, debates about model fine-tuning vs. RAG, and deep dives into infrastructure decisions. A must-listen for engineers shaping the next generation of AI tools.
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4. The Gradient Podcast
- Host(s): Daniel Bashir
- Frequency: Biweekly
- Rating on Apple Podcasts: 4.7
- Topics: AI research, interviews with ML scientists, academic and industry insights
- One-sentence summary: A podcast part of a non-profit organization working to make AI more accessible to the general public.
Part of The Gradient publication, this podcast is a window into the minds of cutting-edge AI researchers. Host Daniel Bashir speaks with authors of significant papers and academic leaders about what’s driving innovation in areas like reinforcement learning, multimodal learning, model interpretability, and more. Unlike surface-level interviews, these conversations take time to unpack the “why” behind recent research and often connect technical insights to societal implications. This is a great listen for both early-stage researchers and industry professionals looking to stay grounded in theory.
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5. The TWIML AI Podcast
- Host(s): Sam Charrington
- Frequency: Weekly
- Rating on Apple Podcasts: 4.7
- Topics: Machine learning, enterprise AI, applied research, MLOps
- One-sentence summary: The host and guests discuss various aspects of AI.
Sam Charrington’s podcast has earned a reputation as one of the most well-rounded in the space. Each episode features a conversation with a guest who’s building, researching, or scaling AI—from Google researchers to founders at applied AI startups. Sam covers both technical and strategic ground: everything from how to optimize training pipelines to how teams deploy AI responsibly in healthcare or robotics. It’s insightful, detailed, and structured to serve engineers, data scientists, and decision-makers alike.
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6. Practical AI
- Host(s): Chris Benson, Daniel Whitenack
- Frequency: Weekly
- Rating on Apple Podcasts: 4.3
- Topics: Real-world ML applications, open-source tools, deployment strategies
- One-sentence summary: Engineers discuss how to apply AI to solve problems.
Hosted by Daniel Whitenack and Chris Benson, this show is all about applied AI—what it takes to get models into production, use open-source tools efficiently, and solve problems without unnecessary hype. Topics include real-time inference, model evaluation, auto-labeling, and more. Unlike academic-heavy podcasts, Practical AI thrives on clarity and usefulness. It also highlights voices from outside big tech, including independent developers and smaller teams who’ve solved niche ML problems at scale.
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7. The Cognitive Revolution
7. The Cognitive Revolution
- Host(s): Nathan Labenz, Erik Torenberg
- Frequency: Weekly
- Rating on Apple Podcasts: 5.0
- Topics: AGI, societal impact of AI, deep interviews with founders and researchers
- One-sentence summary: Hosts analyze big questions on AI revolution.
Nathan Labenz (and co-host Erik Torenberg) take listeners behind the scenes of AI’s most ambitious efforts—from AGI startups to large-scale infrastructure shifts. The show’s tone is sharp and exploratory, often focusing on strategic questions like what’s coming next, what might break, and who’s shaping the landscape. Guests include leaders from Anthropic, OpenAI, and emerging labs, and the conversations cover not only technical capabilities but also economic and existential impact. If you want to think a few steps ahead, this is the podcast.
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8. Eye on AI
- Host(s): Craig S. Smith
- Frequency: Weekly
- Rating on Apple Podcasts: 4.8
- Topics: Global AI trends, policy, research, U.S.–China AI race
- One-sentence summary: An experienced journalist discusses AI in light of politics, economics, and society.
Hosted by Craig S. Smith, a former New York Times correspondent, Eye on AI blends journalistic depth with expert interviews. The show often explores the international landscape of AI, with episodes on U.S.–China tech dynamics, AI policy, and ethics. What sets it apart is its attention to context—Craig makes sure guests not only talk about what they’re building but also what it means. Expect a broader lens, especially if you're interested in how AI intersects with politics, economics, and international strategy.
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9. Me, Myself and AI
- Host(s): Sam Ransbotham, Shervin Khodabandeh (MIT Sloan + BCG)
- Frequency: Biweekly
- Rating on Apple Podcasts: 4.8
- Topics: Business applications of AI, case studies, digital transformation
- One-sentence summary: A professor and consultant discuss successful and unsuccessful AI business cases.
Produced by MIT Sloan and BCG, this show is aimed at executives and decision-makers. Each episode features a conversation with a business leader who has successfully implemented AI—whether in operations, customer service, or product innovation. The focus is always on what worked, what didn’t, and how to scale. Sam Ransbotham and Shervin Khodabandeh guide the discussion toward lessons that others can apply. If you’re not building models yourself but are responsible for leveraging AI in your organization, this podcast is for you.
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10. The AI Podcast by NVIDIA
- Host(s): Noah Kravitz
- Frequency: Biweekly
- Rating on Apple Podcasts: 4.6
- Topics: AI in the real world, deep learning in healthcare, robotics, science
- One-sentence summary: The podcast shows how AI is being used creatively in places that you thought impossible.
NVIDIA’s official podcast, hosted by Noah Kravitz, delivers focused 20–30 minute episodes spotlighting unique AI applications—from detecting wildfires to decoding ancient languages. While the episodes don’t dive deep into code or architecture, they offer an inspiring look at what AI can do when applied creatively. It’s a great way to understand the scope of AI beyond tech—especially in science, education, environment, and design. Short, clean, and always engaging.
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11. DeepMind: The Podcast
- Host(s): Hannah Fry
- Frequency: Seasonal (2 seasons available)
- Rating on Apple Podcasts: 4.8
- Topics: AI research, neuroscience, ethics, DeepMind breakthroughs
- One-sentence summary: An award-winning documentary covers the bases of AI.
Hosted by mathematician and broadcaster Hannah Fry, this podcast gives listeners rare access to the inner workings of DeepMind. It’s narrative in style—more like a mini-series than a casual chat—and covers topics like reinforcement learning, neuroscience, AI safety, and AGI. Scientists and engineers at DeepMind share their processes and challenges, often speaking publicly for the first time. It’s not just educational—it’s poetic and philosophical at times. Perfect for anyone who wants to understand AI at its most profound level.
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Conclusion
AI is the power that is transforming society and the course of humanity, no doubt. In this period, podcasts are exceptional resources for staying up to date with various aspects of AI development: technical, cultural, political, and scientific.
There are a lot of podcasts; we did our best to curate and categorize them so that you can choose one that you need. Whether you are a business leader, researcher, AI engineer, or an ordinary person interested in the future of AI, these podcasts are here for you.
Explore More
Check out these posts for more resources on AI, ML, and Computer Vision:
References
- Fadeke Adegbuyi. (Mar, 2024). 12 AI Podcasts That Will Boost Your Understanding of Artificial Intelligence. Digital Ocean: https://www.digitalocean.com/resources/articles/ai-podcasts
