Best AI Podcasts to Actually Learn AI

There is no shortage of AI content right now, but most of it feels either too academic or way too hype-driven. Podcasts are different. When they are done well, they sit right in the middle – practical, opinionated, sometimes messy, and usually more honest than polished blog posts.

This article is a list of the best AI podcasts worth your time if you actually want to understand how AI is being built, used, and argued about in the real world. Just solid conversations and ideas you can think about on a walk, during a commute, or while working. If you are trying to become more AI-native instead of just AI-aware, this list is a good place to start.

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List of Best AI Podcasts

Podcasts about AI that will help you understand it better. No fluff, just good listening.

1. TWIML AI Podcast

The TWIML AI Podcast takes a deep, steady look at how machine learning and AI are actually being developed and researched. They focus less on trends and more on how things work under the hood, with conversations that often feel closer to a technical briefing than a casual chat. The show regularly brings in researchers, engineers, and practitioners who spend their days building or studying these systems, so the discussions stay grounded in real work rather than theory alone.

They also tend to slow things down. Episodes are detailed and sometimes demanding, but that is part of the point. Instead of simplifying everything for mass appeal, the TWIML AI Podcast gives listeners space to sit with complex ideas like model training, inference, and system design. It works well for people who do not mind pausing an episode, thinking, and coming back to it later.

Key Highlights:

• Long-form conversations with researchers and engineers
• Strong focus on machine learning fundamentals
• Covers both academic and applied perspectives
• Consistent episode format and depth

Who it’s best for:

• Machine learning engineers
• Data scientists
• Technical founders and architects
• Listeners comfortable with technical detail

Contact Information:

• Website: twimlai.com/podcast
• Listen on Spotify: open.spotify.com/show/2sp5EL7s7EqxttxwwoJ3i7
• Listen on Apple Podcasts: podcasts.apple.com/us/podcast/the-twiml-ai-podcast-formerly-this-week-in-machine/id1116303051
• Watch on YouTube: youtube.com/twimlai
• Facebook: facebook.com/twimlai
• Twitter: x.com/twimlai
• LinkedIn: linkedin.com/company/twimlai
• Instagram: instagram.com/twimlai

2. High Agency

High Agency is centered on people who are actively building AI products and figuring things out as they go. The conversations usually focus on decisions made in real companies, what worked, what broke, and what had to be rebuilt. Instead of abstract discussions, they spend time on deployment, evaluation, and how teams ship AI features into production.

They frame AI as something still very much in motion. There is an open acknowledgment that nobody has everything figured out yet, which makes the tone practical rather than authoritative. Episodes often feel like shared notes from the field, especially for teams working with large language models, internal tooling, and early-stage AI products.

Key Highlights:

• Focus on real-world AI product development
• Guests from companies shipping AI in production
• Discussions around LLMs, evals, and infrastructure
• Emphasis on learning through building

Who it’s best for:

• AI product builders
• Startup teams working with LLMs
• Engineers moving from prototypes to production

Contact Information:

• Website: humanloop.com/podcast
• Listen on Spotify: open.spotify.com/show/5Gl6eoYBldXNveJh0DZKrY
• Listen on Apple Podcasts: podcasts.apple.com/us/podcast/high-agency-the-podcast-for-ai-builders/id1747605459
• Watch on YouTube: youtube.com/@builtwithhumanloop
• Twitter:  x.com/humanloop
• LinkedIn: linkedin.com/company/humanloop

3. How I AI

How I AI is very down to earth. Each episode zooms in on one real way someone uses AI in their day-to-day work or personal projects. Nothing vague or theoretical. You usually get clear examples, simple workflows, and a sense of how things actually play out once the tool is open and in use. The episodes are short enough that you can finish one without feeling mentally drained or buried in jargon.

What makes it work is that they show their process instead of just talking about it. With live screen sharing and step-by-step walkthroughs, it feels less like a podcast and more like sitting next to someone while they explain what they are doing. There is no long debate about the future of AI here. It sticks to a very practical question: how are people using these tools right now, and what parts of that can you realistically reuse yourself?

Key Highlights:

• Short, focused episodes
• Clear workflows and real examples
• Practical use of everyday AI tools
• Easy to follow even without a technical background

Who it’s best for:

• Non-technical professionals
• People new to using AI at work
• Anyone looking for practical, repeatable workflows

Contact Information:

• Listen on Spotify: open.spotify.com/show/4aRP2XSavdtrLG5FZoonOK
• Listen on Apple Podcasts: podcasts.apple.com/us/podcast/how-i-ai/id1809663079
• Watch on YouTube: youtube.com/@howiaipodcast

4. NVIDIA AI Podcast

The NVIDIA AI Podcast discusses the use of AI in actual projects, industries, and public areas. The podcast team speaks with people who build or use AI in businesses, governments, labs, or schools. Instead of focusing on theory, they usually begin with a real-world case and then discuss the role of AI.

The podcast uses a practical tone. Even when discussing technical subjects, the discussion will explain the reasons why something matters and its practical results. The NVIDIA AI Podcast often links AI to broader concepts like infrastructure, sustainability, and daily systems, making it feel more linked to the real world.

Key Highlights:

• Conversations with practitioners across industries
• Focus on real-world AI applications
• Mix of technical insight and broader context
• Regular episodes covering different domains

Who it’s best for:

• Engineers and technical professionals
• Business and IT leaders exploring AI use cases
• Listeners interested in applied AI rather than theory

Contact Information:

• Website: ai-podcast.nvidia.com
• Listen on Spotify: open.spotify.com/show/4TB4pnynaiZ6YHoKmyVN0L
• Listen on Apple Podcasts: podcasts.apple.com/au/podcast/nvidia-ai-podcast/id1186480811
• Facebook: facebook.com/NVIDIA
• Twitter: x.com/nvidia
• LinkedIn: linkedin.com/company/nvidia
• Instagram: instagram.com/nvidia

5. The AI Daily Brief

The AI Daily Brief takes a very different approach. Instead of long interviews, they focus on short, frequent episodes that break down what is happening in AI right now. They look at new tools, research updates, business moves, and policy discussions, often tying them together so listeners can see the bigger picture.

The show feels more like a daily check-in than a deep dive. It is opinionated without being dramatic, and analytical without getting lost in jargon. Because the episodes are short and regular, it works well as a way to stay oriented in a fast-moving space without needing to read dozens of articles every day.

Key Highlights:

• Short, frequent episodes
• Coverage of news, tools, and industry shifts
• Clear framing of why developments matter

Who it’s best for:

• People who want to stay up to date on AI
• Founders and operators tracking AI trends
• Listeners who prefer concise formats

Contact Information:

• Website: aidailybrief.ai
• Listen on Spotify: open.spotify.com/show/7gKwwMLFLc6RmjmRpbMtEO
• Listen on Apple Podcasts: podcasts.apple.com/us/podcast/the-ai-daily-brief-formerly-the-ai-breakdown/id1680633614
• Watch on YouTube: youtube.com/@AIDailyBrief

6. Latent Space

Latent Space is very much for people who already live and breathe AI work. They get into the weeds pretty quickly, talking about things like foundation models, infrastructure, agents, and the tools behind them. A lot of the guests are the same people who actually built the stuff being discussed, so the conversations assume you have some technical context and are okay skipping the basics.

What really defines the show is how up to date it feels. They spend a lot of time on what engineers are dealing with right now, not last year, and what tools or ideas are likely to matter next. Yes, some episodes can feel heavy, and you might need to pause or rewind once or twice. But if this is your world, that level of detail is exactly why it is worth listening to.

Key Highlights:

• Deep technical discussions
• Guests directly involved in AI development
• Focus on models, infrastructure, and engineering decisions
• Long-form episodes with detailed context

Who it’s best for:

• AI engineers and researchers
• Developers working with foundation models
• Listeners comfortable with technical depth

Contact Information:

• Website: latent.space/podcast
• Listen on Spotify: open.spotify.com/show/2p7zZVwVF6Yk0Zsb4QmT7t
• Listen on Apple Podcasts: podcasts.apple.com/gb/podcast/latent-space-the-ai-engineer-podcast/id1674008350
• Watch on YouTube: youtube.com/playlist?list=PLWEAb1SXhjlfkEF_PxzYHonU_v5LPMI8L
• Twitter: x.com/latentspacepod

7. Last Week in AI

Last Week in AI has a simple goal: to help people stay informed about AI without being overwhelmed. Each week, they review the important events of the past few days, explaining them in an accessible and knowledgeable way. The team’s research and engineering experience is obvious in their thoughtful approach to each subject.

Instead of quickly reporting headlines or chasing trends, they take their time to explain why a development is important, how it fits into the larger context, and what questions remain. Reading it feels like listening to a conversation with well-informed people.

Key Highlights:

• Weekly summaries of AI news
• Clear explanations without heavy jargon
• Written and hosted by people with AI research experience
• Covers research, policy, and industry shifts

Who it’s best for:

• Readers and listeners who want context, not just headlines
• People following AI research and policy
• Anyone who prefers weekly updates over daily noise

Contact Information:

• Website: lastweekin.ai/s/podcast
• Listen on Spotify: open.spotify.com/show/17HiNdxcoKJLLNibIAyUch
• Listen on Apple Podcasts: podcasts.apple.com/us/podcast/last-week-in-ai/id1725552677
• Watch on YouTube: youtube.com/channel/UCKARTq-t5SPMzwtft8FWwnA

8. Cognitive Revolution

The Cognitive Revolution podcast focuses on in-depth talks about the future of AI and its importance. It mainly features conversations with developers, researchers, and those on the front lines of AI. The tone is inquisitive and analytical, often focusing on open questions instead of simple answers.

The podcast embraces uncertainty. Episodes often cover subjects like safety, alignment, and the future impact of AI, but without becoming pure science fiction. The Cognitive Revolution is best for those who like patient listening and hearing people think critically and question their own ideas.

Key Highlights:

• In-depth interviews with AI builders and researchers
• Focus on long-term impact and open questions
• Calm, reflective discussion style

Who it’s best for:

• Listeners interested in AI safety and governance
• People who enjoy long-form conversations

Contact Information:

• Website: cognitiverevolution.ai
• Listen on Spotify: open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk
• Listen on Apple Podcasts: podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431
• Watch on YouTube: youtube.com/@CognitiveRevolutionPodcast

9. No Priors

No Priors talks about AI as something that is already reshaping work, companies, and decision making, not as a distant concept or a sci-fi endpoint. When they discuss AI, the focus is usually on how models are actually being built, where the research is moving, and what starts to break once these systems leave the lab and hit real use cases. 

They also keep coming back to the tradeoffs. AI is discussed in terms of leverage, speed, and scale, but also in terms of risk, uncertainty, and unintended consequences. One moment they are unpacking the state of model research or infrastructure, and the next they are talking about how AI shifts markets, changes how companies are structured, or creates pressure on existing workflows. 

Key Highlights:

• Conversations with AI founders and researchers
• Mix of technical and market perspectives
• Focus on real-world implications of AI systems
• Thoughtful but straightforward tone

Who it’s best for: 

• Founders and operators in tech
• People interested in AI from a business angle
• Listeners who like practical big-picture discussions

Contact Information:

• Listen on Spotify: open.spotify.com/show/0O65xhqvGVhpgdIrrdlEYk
• Listen on Apple Podcasts: podcasts.apple.com/us/podcast/no-priors-artificial-intelligence-technology-startups/id1668002688
• Watch on YouTube: youtube.com/@NoPriorsPodcast

10. Eye on A.I.

The Eye on A.I. looks at artificial intelligence through a journalist’s lens. They focus on what is actually changing in AI research and why those changes matter beyond the lab. Hosted by Craig S. Smith, the podcast often steps back from the noise of daily announcements and tries to place new developments into a wider social, political, and economic context. The conversations feel measured and thoughtful rather than rushed.

When Eye on A.I. talks about AI, they tend to frame it as a slow but powerful shift. Episodes often explore incremental advances, how researchers think about progress, and what those advances could mean for governments, companies, and everyday life. Instead of chasing hype, the show leans into explanation and perspective, which makes it easier to understand where AI fits into the bigger picture.

Key Highlights:

• Biweekly episodes with a steady pace
• Conversations with people actively working in AI
• Focus on context, not just technical updates

Who it’s best for:

• Listeners interested in AI research and policy
• People who prefer analysis over breaking news
• Anyone looking for a broader view of how AI affects society

Contact Information:

• Website: eye-on.ai/podcast-archive
• Listen on Spotify: open.spotify.com/show/5aFnCGDhpL5bGr2uHy4bB5
• Listen on Apple Podcasts: podcasts.apple.com/us/podcast/eye-on-a-i/id1438378439
• Watch on YouTube: youtube.com/channel/UC-o9u9QL4zXzBwjvT1gmzNg
• Facebook: facebook.com/EyeOnAINews
• LinkedIn: linkedin.com/company/eyeon-ai
• Instagram: instagram.com/craigspencer

Conclusion 

AI can feel overwhelming if you only follow it through headlines or social media clips. Podcasts slow things down. They give space for people to explain what they are building, what they are unsure about, and what actually matters right now. That is what makes them such a useful way to learn about AI, especially when the field moves as fast as it does.

The podcasts in this list all take different angles. Some focus on research and long term questions, others stay close to product work, news, or real world use. None of them give you the full picture on their own, but together they help fill in the gaps. If you listen with curiosity instead of looking for quick answers, you will start to notice patterns, tradeoffs, and ideas that are easy to miss elsewhere. That, more than staying up to date, is where the real value tends to be.