10 Best AI Podcasts for 2025
In Brief
Whether you’re a seasoned AI expert or just starting to explore the field, check out the 10 best AI podcasts for 2025 to learn more about AI.
Artificial Intelligence is developing faster than ever, and leading podcasts are combining technical insights with stories from industry leaders, ethical discussions, and global impacts. Whether you are new to AI or a seasoned expert, these updated shows are ideal for keeping you educated and motivated in 2025.
1. The Data Exchange (Gradient Flow)
Ben Lorica hosts this podcast, and it’s an essential listen for anyone looking to know more about AI, machine learning, and data engineering. It strikes a good balance between technical detail and accessibility, with discussions involving researchers, business leaders, and practitioners. Topics include LLM development, AI infrastructure, and how to assess machine learning models. The tone is practical yet future-focused and provides a good listen for those looking for informed perspectives that aren’t hype but aren’t pessimistic either!
Features:
• Weekly expert interviews
• Strong industry-academic blend
• Companion newsletter & YouTube
2. Using AI at Work
This podcast is structured for users who wouldn’t consider themselves technical, and aims to help people understand how to use generative AI for their real-world jobs. Chris Daigle, the host, speaks with founders, consultants, and executives who are using AI to help solve productivity, personalization, and collaboration problems. Each episode provides tangible takeaways for professionals who want to utilize AI tools in their work, even if they cannot code.
Features:
• Business-focused use cases
• High ratings from general users
• Weekly episodes under 30 mins
3. AI at Work (Tech Talks Daily)
This podcast dives into how AI is changing the world of work—especially HR, automation, and team management. Host Dan Turchin talks with AI entrepreneurs, researchers, and DEI advocates about how to build ethical, inclusive systems. It’s ideal for decision-makers seeking real ROI stories and cautionary tales.
Features:
• Emphasis on AI ethics & governance
• Real case studies in hiring, automation
• Practical advice for workplace leaders
4. AI and the Future of Work
Also hosted by Dan Turchin, this podcast focuses on how AI is reshaping employment and business leadership. The episodes blend macro trends with human-centered stories about job transformation, burnout, and innovation. It’s not just about tools—it’s about values and adaptation in the face of automation.
Features:
• Broader employment-focused discussions
• Regular academic & startup guests
• Explores emotional and ethical impact
5. Me, Myself, and AI
Co-produced by MIT Sloan and BCG, this podcast has executives from Fortune 500s talk about their successful AI transformations. Hosted by Sam Ransbotham and Shervin Khodabandeh, it’s easily consumable, straightforward, and full of first-hand insight. Episodes discuss challenges around scaling AI across departments, thinking about risk, and the impact of the company’s culture.
Features:
• Focus on leadership & implementation
• Concise 20–30 min format
• High-profile executive guests
6. The Gradient: Perspectives on AI
This technical podcast from TheGradient.pub goes deep into AI developments, from open-weight models and robotics to policy and scaling debates. Host Daniel Bashir interviews researchers, engineers, and thought leaders in longform format. Ideal for AI practitioners and anyone who enjoys thoughtful technical conversations with nuance.
Features:
• Bi-weekly, longform discussions
• Companion blog with transcripts
• Critical takes on AI progress
7. In Machines We Trust
Produced by MIT Technology Review, this award-winning podcast explores how AI affects our lives, institutions, and decisions. It covers everything from hiring bias to surveillance and synthetic media. Hosted by Jennifer Strong (formerly Karen Hao), the show uses documentary storytelling to unpack the human cost of automation.
Features:
• High production value & narrative style
• Investigative journalism approach
• Focus on social impact of AI
8. Eye on AI
Hosted by Craig S. Smith (former NYT journalist), Eye on AI features deep conversations with AI leaders from OpenAI, Anthropic, Google DeepMind, and beyond. Known for journalistic depth, the podcast explores foundational model innovation, scaling laws, and geopolitics. It’s essential for anyone tracking how AI shapes policy and global competition.
Features:
• Weekly interviews with top experts
• Covers both research and geopolitics
• High-profile industry guests
9. Tech Tonic (AI episodes)
From the Financial Times, Tech Tonic examines tech trends through economic and geopolitical factors. Its AI episodes provide a perspective on business adoption, labor disruption, and policy risks. Tech Tonic has some of the best narration available, strong reporting, and the best approach for business leaders or public policy experts who want an overview of AI’s macro impact.
Features:
• FT-level editorial rigor
• Global AI policy & business lens
• Short series format per topic
10. Better Offline
Hosted by Ed Zitron, this podcast critiques Silicon Valley culture, including AI hype cycles, worker surveillance, and ethical backsliding. It’s a refreshing counterweight for listeners tired of breathless optimism. Topics are sharp, political, and often personal—ideal for skeptics who still care deeply about the future of tech.
Features:
• Strong editorial voice
• Critique of AI & startup excess
• Focus on labor, privacy & ethics
FAQs
Which podcast is best for AI beginners?
Try Using AI at Work and Me, Myself, and AI for practical, accessible insights without technical jargon.
Which hosts technical deep-dives?
Go for The Data Exchange, The Gradient, and Eye on AI—these feature experts discussing LLM internals, model scaling, and AI hardware.
Do these podcasts cover AI ethics?
Yes: In Machines We Trust, Tech Tonic, and Better Offline regularly explore fairness, bias, privacy, and regulatory issues.
Do any feature transcripts or show notes?
Most use platforms provide episode transcripts or detailed notes; Gradient Flow and MIT TR are especially detailed.
How long are episodes?
Ranges vary from 20-30 minutes (Using AI at Work, Me Myself & AI) to 60-90 minutes (Eye on AI, The Gradient).
Bottom Line
These ten AI podcasts combine technical sophistication, workplace use cases, ethical considerations, and critical perspectives. The field needs both optimism and skepticism in 2025 — no matter if you want to dig into the internals of LLMs, discover enterprise AI, or interrogate AI’s impact on society, there is a show for you here. Listen in, engage with disparate perspectives, and keep your perspective fresh as the AI story continues.
Disclaimer
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About The Author
Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
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Victoria is a writer on a variety of technology topics including Web3.0, AI and cryptocurrencies. Her extensive experience allows her to write insightful articles for the wider audience.
