10 Best AI Podcasts

10 Podcasts for Machine Learning Enthusiasts That Are Actually Worth Your Time

If you're into machine learning and want to stay sharp without sifting through endless technical papers or blog posts, podcasts are the perfect solution. Whether you're listening during your commute, a workout, or while zoning out at your desk (we've all been there), the right podcast can inspire new ideas, simplify complex concepts, or keep you up-to-date with AI trends.

Here are 10 handpicked podcasts that strike the balance between accessible and insightful—and they won’t waste your time:

1. Practical AI
This one focuses on how AI and machine learning are applied in the real world. Hosts Chris Benson and Daniel Whitenack dive into actual use cases, emerging tools, and trends without overloading you with theory. It’s conversational and practical—a solid choice for ML enthusiasts who care about results.

2. The AI Alignment Podcast
If you’re curious about the ethical side of AI or want to explore how humans and machines will coexist, this podcast hits the mark. Expect in-depth conversations on AI safety, alignment problems, and the philosophical questions we can’t ignore.

3. Lex Fridman Podcast
Lex Fridman’s long-form interviews with AI researchers, engineers, and tech leaders feel like sitting in on a masterclass. Yes, the episodes are long—sometimes over two hours—but if you’re looking for thoughtful discussions on machine learning, robotics, and everything in between, it’s worth the time.

4. The TWIML AI Podcast
Hosted by Sam Charrington, this is one of the most respected machine learning podcasts out there. It covers everything from cutting-edge research to practical applications across industries. If you’re building a career in AI, TWIML (This Week in Machine Learning) is essential listening.

5. AI in Business
Not everyone cares about the theory—sometimes, you just want to know how AI is making an impact. AI in Business (hosted by Daniel Faggella) explores case studies, ROI-driven strategies, and practical insights for applying machine learning in real-world companies.

6. The Gradient Podcast
This one digs deep into the minds of AI researchers and practitioners. The Gradient stands out because it feels more raw and honest—less about hyping AI and more about the nuances of the field, the challenges, and where we’re headed.

7. The Robot Brains Podcast
Hosted by AI professor Pieter Abbeel, this podcast explores breakthroughs in AI and robotics from both an academic and practical perspective. It’s perfect if you’re fascinated by the future of automation and intelligent systems.

8. Machine Learning Street Talk
Don’t let the name fool you—this podcast is heavy on the technical side. ML Street Talk brings together researchers to unpack complex topics like transformers, reinforcement learning, and the latest in deep learning. If you’re up for the challenge, you’ll get a lot out of it.

9. Data Skeptic
Kyle Polich does a great job making machine learning and data science approachable. The podcast mixes interviews, technical deep dives, and explanations of foundational concepts. It’s ideal if you’re looking for something lighter without losing the substance.

10. Brain Inspired
Machine learning draws a lot of inspiration from neuroscience, and this podcast bridges the two fields. Paul Middlebrooks interviews researchers about topics like neural networks, brain simulation, and AI-inspired cognitive science.

Final Thoughts

Machine learning is evolving fast, and it’s easy to get overwhelmed. Podcasts like these help you stay informed without burning out. Whether you’re brand new to AI or you’ve been coding models for years, this list offers a mix of technical insights, real-world applications, and big-picture thinking. Give one a shot—you might just pick up your next big idea.