I believe the best way to learn about the latest in artificial intelligence is to get your hands dirty. Sign up for those latest AI tools, AI models, and AI agents. Know what they can do now, and what they can do in the future.
But, to access these latest AI tools, AI models, and AI agents – you must know about their releases.
That’s what I use podcasts dedicated to covering AI landscape for – to update myself about latest in AI.
You can be just a beginner in AI. Or you might understand research papers in AI. I have listed 5 best AI podcasts for all and best episodes I enjoyed.
You can simply tune into the episodes while commuting, making food, or other short breaks. It’s the best use of your time, even if you’re just a generative AI enthusiast (like me!).
Make the most of AI as it evolves – and learn about them first in these AI podcasts.
- 5 best AI podcasts for beginners and advanced AI professionals
- Entry and best episodes for each podcast
- Key insights I got from these AI podcasts!
Here’s a quick snapshot to get started with AI podcasts recommendations:
| AI Podcast Name | Best for | Platforms | AI Skill level | Podcast Link |
| EY AI | Know the industrial impact of Generative AI | Ernst and Young Website, Spotify, Amazon Music, Sound Cloud, and YouTube | Beginners, non-technical professionals, management level professionals | EY AI Podcast |
| Two Minute Papers | Simplified and jargon-free way to understand latest in AI research | YouTube | Beginner to Medium | YouTube |
| Dwarkesh Podcast | To gain multi-disciplinary insights from experts on AI landscape. | Apple, Spotify, Substack, and YouTube | Beginner, management level professionals | Substack |
| The Cognitive Revolution | Insights from entrepreneurs and researchers about building AI products. | Apple, Spotify, and YouTube | Medium to Advanced | Website |
| Eye on AI | Expert insights on use of AI for solving complex problems across industrial use cases. | Apple, Spotify, and YouTube | Medium to Advanced | Website |
EY.ai podcast series – best AI podcast by consultants

I think the best way to understand new technology is by knowing its broader level impact on industries. Who is better to cover such topics other than consultancies adopting Generative AI?
Ernst and Young is a reputed firm which is specifically covering Generative AI’s impact on various industries. You get informed insights from professional consultants. They are daily navigating Generative AI solutions for their clients in digital landscape, finance, HR, and taxation. So they are can create a larger picture for higher management and AI enthusiasts to feed onto.
Learn more: EY.ai Podcast Series
Platforms supported: Spotify | YouTube | Amazon Music | SoundCloud
AI skill level: The EY.ai podcast is designed to be accessible for beginners. It still offers rich, technical insights, and strategic perspectives for seasoned professionals like non-technical management for industry level insights.
3 things you will learn from the EY AI podcast
- Creative techniques for generating unique outputs.
- How to implement latest Generative AI concepts at industrial scale.
- Latest news covering new Generative AI technologies.
Why listen to the EY.ai podcast?
- Short episodes: The episodes are concise. They share statements about what EY think about the topic. No technical jargon or filler words are used. Great for professionals short on time and like no-nonsense approach to content consumption.
- Trusted Expertise: Brought to you by EY—a global leader in professional services. The podcast features interviews with top experts and thought leaders. They share real-world applications, emerging trends, and strategic insights.
- Industry Impact: Whether you’re interested in finance, healthcare, or manufacturing, the podcast shares practical insights. It also covers any sector undergoing digital transformation. The podcast reveals how generative AI is reshaping business operations and also discusses competitive strategies.
- Actionable Insights: Beyond theory, each episode offers practical takeaways. These insights will help you improve your understanding of AI. You can apply these concepts to drive innovation in your organization.
My top 3 recommended EY AI podcast episodes
- Episode 1, 2 and 3 for AI’s impact on taxes: Get insights into how AI is changing the legal workflows. This change impacts the taxation landscape for businesses. Listen on: Episode Link
- Episode 9 – Balancing risks and governance with Generative AI: explains how to manage the limitations of Generative AI. Governance frameworks are essential for this when implementing it across business workflows. Listen on: Episode link
- Episode 1: From automation to augmentation: the role of Generative AI in shaping the workforce of the future: Understand new job roles that could shape and the ones in threat. Discover limitations of Generative AI for DEI initiatives. Listen on: Episode Link
What topics in AI does EY AI podcast cover?
- Generative Techniques: Learn about advanced methods for generating text, images, and creative outputs using state-of-the-art AI models.
- Industry Applications: Understand how generative AI is being integrated in sectors such as finance, healthcare, manufacturing, and more.
- Strategic Transformation: Explore how AI is driving digital transformation, reshaping business processes, and offering competitive advantages.
- Ethics & Governance: Delve into discussions about responsible AI, data governance, and how to build trust in automated systems.
- Future Trends: Stay updated on emerging trends and predictions on how generative AI will continue to evolve and impact society.
Who should listen to EY AI podcast?
- Business Leaders & Executives: Gain strategic insights to drive digital transformation and integrate AI into core business processes.
- AI Enthusiasts & Tech Professionals: Deepen your understanding of generative AI technologies, techniques, and best practices.
- Industry Practitioners: Whether you work in finance, healthcare, marketing, or operations, the podcast offers sector-specific applications and real-world case studies.
- Students & Researchers: Enhance your foundational and advanced knowledge in AI through expert discussions that are accessible yet in-depth.
2. Two Minute Papers – for understanding AI research

Not exactly a podcast, this YouTube channel breaks down the latest in artificial intelligence space in concise and engaging videos. Most videos are less than 10 minutes overall. They covers any new updates happening in the world of AI across industries. Created by Károly Zsolnai-Fehér, it distills complex research papers in artificial intelligence, deep learning, computer graphics, and related fields. It is an excellent choice for anyone looking for inspiration or a quick educational boost during a busy day.
Learn more: Two Minute Papers
Platforms supported: YouTube
AI skill level: The content is crafted to be accessible even to beginners. A basic understanding of AI concepts can enhance the listening experience. But, Károly’s explanations are clear and jargon-free. Listeners with only an introductory knowledge of AI can still enjoy and learn from the episodes. Meanwhile, enthusiasts with more advanced knowledge will appreciate the insights into cutting-edge research in short format.
3 things you will learn from the Two Minute Papers YouTube channel
- Updates on the latest research papers in AI, deep learning, AI models, and more.
- Links to the papers to explore further.
- An archive of 950+ videos with playlists.
Why Listen to Two Minute Papers?
- Quick and digestible: Each episode offers a rapid yet insightful summary of cutting-edge research. It is ideal for busy professionals. It is also perfect for anyone curious about the latest developments.
- Engaging presentation: Károly’s enthusiasm and knack for simplifying complex topics ensure engagement. Even dense research becomes entertaining. It is easy to grasp, although he does have an accent.
- Stay updated: The podcast keeps you updated with breakthroughs directly from top-tier academic conferences and research labs.
My top 3 recommended Two Minute Paper episodes
- DeepMind explained series: If you are a chess enthusiast, then knowing DeepMind’s latest research helps. Maybe you will compete with AI in future? This playlist is good way to judge how intelligent AI is getting day by day. Includes coverage on AlphaGo, AlphaZero, AlphaGo Zero and more. Listen on: Playlist link
- AI Model coverage: Check out tricks and best practices with ChatGPT, Stable Diffusion, and more. Listen on: Playlist link
- Everything NVIDIA: A dedicated playlist of 90+ videos covering the latest by NVIDIA. Listen on: Playlist link
What topics in AI does Two Minute Papers podcast cover?
- Deep Learning & Neural Networks: The backbone of modern AI research.
- Generative Models: Including GANs and diffusion models for art, design, and data synthesis.
- Reinforcement Learning: Methods by which AI learns through trial and error, applicable to robotics and game AI.
- Neural Rendering & 3D Reconstruction: Innovative approaches that merge AI with computer graphics to create immersive visual experiences.
Who should listen to Two Minute Papers podcast?
- Students & Educators: A fantastic supplement to formal studies, providing real-world examples of academic research.
- Tech Professionals & Enthusiasts: Perfect for those who want to stay informed on the latest scientific breakthroughs. They avoid getting bogged down in heavy technical details.
- Curious Minds: Anyone with an interest in AI and technology will find the content accessible. It is inspiring, regardless of their technical background.
3. Dwarkesh Podcast – best for multi-disciplinary insights on AI

The Dwarkesh Podcast is all about ‘deeply researched interviews with obscure intellectuals.’
The show is hosted by Dwarkesh Patel. It delves into complex topics, ranging from the evolution of artificial intelligence to historical shifts in geopolitics. It explores the nuts and bolts of AI and technology. Additionally, it places them within broader historical and societal narratives. This is achieved through long-form, carefully prepared conversations. With over 27,000 subscribers on Substack, the podcast has built a reputation for intellectual rigor. It is known for curiosity and the ability to get to the heart of challenging ideas, including AGI. Hence,
Know more: Dwarkesh Podcast
Platforms supported: YouTube, Substack, Spotify, Apple Podcast
AI skill level: The podcast is designed for listeners with at least a basic understanding of AI concepts. The conversations are intellectually rich. They occasionally delve into technical details. Dwarkesh often provides enough context so that even those newer to the topic can follow along. However, if you’re completely new to AI, consider brushing up on some foundational concepts. This will help you fully appreciate the depth of the discussions.
3 things you will learn from the Dwarkesh podcast
- Essays and podcasts that cover thought leadership topics in the space of AI.
- Good conversations on his essay and podcast Substack comments section. Dwarkesh is building a community, and after consuming his content, I enjoy reading comments to ruminate on perspectives gained.
- Although AI is a core focus, the discussions frequently weave in aspects of history. They also cover geopolitics, economics, and philosophy. This combination makes for rich, cross-disciplinary insights.
Why listen to Dwarkesh podcast?
- Intellectual depth: Each episode is the result of thorough preparation. Dwarkesh dives deep into his guests’ work, ensuring that even the most nuanced topics are explored in detail.
- Diverse guest list: The podcast hosts industry giants like Jeff Dean and Noam Shazeer. It also includes thought leaders such as Tyler Cowen. A wide range of voices from tech, academia, and beyond come together.
- Practical insights for AI enthusiasts: If you’re interested in understanding how modern AI is built, you will find this podcast insightful. It reveals how AI is scaled and aligned. The podcast gives you access to the minds shaping those ideas. You can also learn how AI might shape our future.
My top 3 recommended Dwarkesh podcast episodes
- Jeff Dean & Noam Shazeer – 25 years at Google: from PageRank to AGI: This is a very latest episode! It is a masterclass in understanding the evolution of AI technology at one of the world’s leading tech companies. It covers seminal innovations—from MapReduce and BigTable to the Transformer architecture. These have laid the foundation for modern AI and AGI discussions – Listen on: Episode link
- Tyler Cowen – The #1 Bottleneck to AI Progress is Humans: Tyler Cowen and Dwarkesh explore how human limitations and institutional factors can impede or accelerate AI development. It’s a thought-provoking look at the interplay between human cognition and the rapid progress of AI technologies – Listen on: Episode link
- Francois Chollet, Mike Knoop – LLMs won’t lead to AGI: This is an interesting episode. Francois Chollet and Mike Knoop argue that large language models excel at memorization. However, they lack the on-the-fly adaptability required for true AGI. They discuss the ARC benchmark. It is a novel ‘IQ test’ for machines. They unveil a $1M prize to spur breakthroughs in achieving genuine machine intelligence – Listen on: Episode link
What topics in AI does Dwarkesh podcast cover?
- AI evolution and scale: Discussions often center on how innovations like the Transformer model, MoEs (Mixture of Experts), and large-scale architectures have revolutionized AI.
- AGI and future projections: Episodes with guests like Jeff Dean, Noam Shazeer, and others delve into the path from current AI systems toward artificial general intelligence.
- Technical and philosophical aspects: Beyond the mechanics, the podcast explores AI alignment, safety, and governance. It also discusses the broader societal implications of these technologies.
- AI in business and society: Some episodes examine how AI is reshaping industries, influencing corporate strategy, and altering the dynamics of competitive markets.
Who should listen to Dwarkesh podcast?
- AI Professionals & Researchers: If you work in or study artificial intelligence, you will find these interviews valuable. They provide essential context and cutting-edge insights with historical perspectives on how the field has evolved.
- Tech enthusiasts & futurists: Listeners fascinated by the future of technology will find the discussions engaging. These discussions delve into societal and economic implications. The multidisciplinary nature makes them especially engaging.
- Curious minds: You don’t need to be a technical expert. The podcast is accessible enough for anyone. It welcomes those willing to engage with challenging ideas. The in-depth discussions offer a window into how top thinkers approach complex subjects.
4. The Cognitive Revolution – best for building business in AI industry

The Cognitive Revolution Podcast is a weekly show hosted by Nathan Labenz that dives deep into the world of artificial intelligence. The podcast has a clear mission to scout AI “from every angle.” It features in‐depth expert interviews and exclusive ‘AI Scouting Reports’. These explore how transformative AI is in shaping our future. Whether you’re curious about the latest breakthroughs, ethical dilemmas, or industry applications, this podcast offers insights into it.
Know more: The Cognitive Revolution Podcast
Platforms supported: YouTube, Spotify, Apple Podcast
AI skill level: Requires knowledge about AI tools and Saas product landscape. The discussions are more product centric – focusing on new releases and practical applications.
3 things you will learn from The Cognitive Revolution podcast
- If you are building products in AI landscape, you get insights from existing AI entrepreneurs about their product building journey.
- Beyond the episodes, the website offers resources like a job board to apply for jobs in AI industry.
- AI ‘Ask me Anything’ sessions with Nathan Labenz as podcast episodes.
Why listen to The Cognitive Revolution podcast?
- Expert insights: Gain firsthand perspectives from AI innovators, entrepreneurs, and researchers who are at the forefront of the AI revolution.
- Timely and comprehensive: Stay updated on emerging trends, technical challenges, and future predictions that impact both business and society.
- Actionable knowledge: Learn how AI is transforming industries from legal practices to app development.
My top 3 recommended The Cognitive Revolution podcast episodes
- An Application-Free Future? Speaking Directly to Data with illumex CEO Inna Tokarev Sela: Learn how to interact with data using AI featuring insights from illumex’s CEO. Episode gives insights into use of AI in data analytics, data mapping, and data management. Listen on: Episode link
- Gene Hunting with o1-pro: Reasoning about Rare Diseases with ChatGPT Pro Grantee Dr. Brownstein: I have personal interest in biotechnology, hence listing this one! Explore how advanced AI models are transforming the diagnosis of rare diseases. The conversation delves into innovative gene-hunting techniques. It explores the rapid application of AI in medical research. These insights show how technology is accelerating patient care. Listen on: Episode link
- Software Supernova: Lovable’s “Superhuman Full Stack Engineer” to Transform Idea to App in Seconds: Lovable is all in limelight with how fast and easy it makes building apps! Nathan speaks with the makers to understand how lovable functions and changes in app development space due to AI. Listen on: Episode link
What topics in AI does The Cognitive Revolution podcast cover?
- Trends and future predictions: Get ahead of the curve with forecasts and analyses on where AI is headed.
- Applications and industries: Understand how AI is disrupting sectors like law, digital innovation, and enterprise data management.
- Research and development: Dive into technical discussions that explore the latest scientific breakthroughs and engineering challenges in AI.
- Business, policy and ethics: Examine the economic, regulatory, and ethical dimensions that accompany rapid AI adoption.
- Security and technical challenges: Learn about the obstacles and risks that come with deploying AI in various environments.
Who should listen to The Cognitive Revolution podcast?
- Entrepreneurs and product makers: Explore multifaceted application of AI and learn from those already doing it.
- Industry Professionals & Decision-Makers: Gain strategic insights that can influence business models and policy decisions.
- Researchers & Technologists: Enjoy in-depth technical discussions that illuminate the cutting edge of AI research and development.
5. Eye on AI – best to understand use of AI for regulated industries

Eye on AI Podcast is covered by Craig Smith, who is an an award-winning correspondent for The New York Times. Tim LeeMaster, who is a journalist and the executive editor, also helps cover the finance topics for the podcast. The key focus is on AI’s impact on industries and research papers on deep learning. This includes military strategy and logistics to business innovation and ethical debates.
Learn more: Eye on AI
Platforms supported: YouTube, Spotify, Apple Podcast, and official website
AI skill level: The podcast requires foundational knowledge of AI. Some episodes dive into technical details, like the nuances of model fine-tuning. They also cover autonomous systems, policy making, and use of AI within regulated industries like governance and biology.
3 things you will learn from Eye on AI podcast
- How experts think about use of AI and its impact across regulated industries.
- Thought leadership on impact of AI interesting topics like dreams, privacy, climate crisis, and more.
- Transcripts of every episode for easy consumption.
Why listen to Eye on AI podcast?
- Expert perspectives: Hosted by Craig Smith, the podcast regularly features deep-dive discussions with top voices in AI. This includes CEOs and technical innovators. For example, one episode highlights Tyler Xuan Saltsman, the CEO of Edgerunner. He explains how generative AI is revolutionizing military logistics and defense strategies.
- Diverse topics: Each episode covers diverse topics. They range from the nuances of generative AI and autonomous drones to ethical considerations and business impacts. Each episode brings a fresh look at how AI is applied in real-world scenarios.
- Practical takeaways: By listening, you stay up-to-date with cutting-edge developments. You also gain a clearer understanding of AI’s potential to solve complex problems. These range from optimizing supply chains to transforming national security.
My top 3 recommended Eye on AI podcast episodes
- Episode 36 – Vittorio Sebastiano: Recommending this episode again due to my interests in use of AI in biology. Here, Stanford’s Assistant Professor Vittorio Sebastiano explains how gene expression techniques can rejuvenate old or damaged cells. This opens the door to potential treatments for a range of diseases. He calls for machine learning collaborators to deepen the research. Listen on: Episode link
- Episode 38 – Jose-Marie Griffiths: Here, Jose-Marie Griffiths from the National Security Commission on Artificial Intelligence discusses recommendations to Congress for boosting the federal AI workforce. He emphasizes the need to improve government-wide AI literacy and reform hiring practices to attract and keep top talent. There are many episodes in this series that focuses on use of AI for government. Listen on: Episode link
- Episode 235 Tyler Xuan Saltsman: The episode discusses how cutting-edge, domain-specific AI is transforming military operations. This includes enhancing logistics and mission planning to powering autonomous drones and real-time battlefield intelligence—while keeping humans firmly in control. Listen on: Episode link
What topics in AI does Eye on AI podcast cover?
- Military and defense: In-depth analysis of how AI is transforming military strategy, logistics, and the development of autonomous systems.
- Generative AI: Exploration of specialized language models, fine-tuning techniques (like LoRa adapters), and their real-world applications.
- Autonomous systems and drones: Insight into how AI is enabling smarter, context-aware drones and other autonomous devices.
- Ethics and business impact: Discussions on the ethical implications, data transparency, and how AI is reshaping industries and business models.
- Cutting-edge innovations: Regular updates on emerging AI technologies and how they are poised to solve complex, real-world problems.
Who should listen to Eye on AI podcast?
- AI Enthusiasts & Newcomers: The content is designed to be accessible, with clear explanations that help demystify complex AI concepts.
- Industry Professionals: Whether you’re in tech, defense, logistics, or business strategy, the podcast offers insights that can inform your work and decision-making.
- Policy Makers & Thought Leaders: For those interested in the broader implications of AI on society and national security, the discussions provide both technical and ethical viewpoints.
- Students & Researchers: The podcast serves as a valuable resource for anyone looking to stay informed about the latest AI trends and applications.
List of best AI podcasts to explore
These were the top five according to me – but I also came across good lists to explore further.
AI podcasts list on Reddit:
Recommendations by The New York Times
I found this good listicle which includes AI podcasts that I had not come across before. I have listened to a few episodes, but haven’t included in my list as I will need more review time.
You can review the list by yourself in mean time: 6 AI podcasts by NYT
Do you have a recommendation? – Let me know and I would list it here after review!
I will keep adding new AI podcasts on this list as I find good ones. If you have any recommendations, I would love to review and add it.

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Learn more about AI concepts:
- Learn about Stanford’s $50 trained S1 AI model – read
- What is OpenAI o3-mini? – read
- Best AI Meeting Assistant for project managers – read
- Best AI Meeting Assistants for sales – read
- Check out Prompt Engineering communities worth joining
- Explore ChatGPT alternatives for improved usability and productivity.
- Understand DeepSeek’s innovative changes that started the race to cost-effective AI engineering – read
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