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8 Best AI Podcasts You Should Listen in 2024

8 must-listen AI podcasts for tech enthusiasts in the USA, each offering unique insights and features that cater to various interests within the field of artificial intelligence

Podcasts have become a vital medium for sharing knowledge and insights across various industries, and the realm of data management and artificial intelligence is no exception. The topic of these podcasts revolves around the intersection of technology, data strategy, and leadership within organizations, particularly focusing on the roles of Chief Data Officers (CDOs) and Chief Information Officers (CIOs). These podcasts aim to explore the benefits of collaboration between CIOs and CDOs, the transformative power of data and AI in business, and the challenges and best practices in implementing these technologies effectively.

Here are 8 must-listen AI podcasts for tech enthusiasts in the USA, each offering unique insights and features that cater to various interests within the field of artificial intelligence:

Best AI Podcast in 2024

  • AI Chat Podcast by Jeden Schafer
  • Artificial Intelligence Podcast by Lex Fridman
  • The AI Podcast by NVIDIA
  • AI in Business Podcast by Daniel Faggella
  • Practical AI Podcast by Daniel Whitenack and Chris Benson
  • Eye on AI Podcast by Craig S. Smith
  • Simulated Reality Podcast by Kashyap Raibagi, AIM Team
  • The TWIML AI Podcast by Sam Charrington
Best AI Podcasts to Listen

AI Chat: ChatGPT & AI News

This podcast dives into the world of ChatGPT, discussing cutting-edge AI news and its impact on daily life. It features in-depth discussions and interviews with leading experts in the field, exploring the latest advancements in language models, machine learning, and more.

  • Host: Jaeden Schafer
  • Frequency: Regular updates
  • Episode Length: Approximately 6 minutes
  • Guests: Features interviews with experts like Chinar Movsisyan, CEO of Manot AI, and Jason Knight, Co-Founder of OctoAI
  • Topics: Focuses on ChatGPT, AI news, and the impact of AI on daily life

Artificial Intelligence with Lex Fridman

Hosted by Lex Fridman, a researcher at MIT, this podcast covers a wide range of topics including science, technology, history, philosophy, and the nature of intelligence and consciousness. It features long-form interviews with a variety of intellectuals and experts, providing deep insights into AI and other complex subjects

  • Host: Lex Fridman
  • Frequency: Multiple episodes per week
  • Episode Length: Varies widely, typically between 1 to 4 hours
  • Guests: High-profile guests like Elon Musk and other experts in AI and technology
  • Topics: Deep dives into AI, consciousness, and various scientific and philosophical topics

The AI Podcast by Nvidia

Produced by NVIDIA, this podcast offers unique stories from individuals pushing the boundaries of AI across various fields. Each episode features an interview with a different expert, providing insights into innovative uses of AI in diverse areas such as wildlife conservation and astrophysics.

  • Host: Produced by NVIDIA
  • Frequency: Regular episodes
  • Episode Length: Typically around 20-30 minutes
  • Guests: Leaders in AI from various sectors
  • Topics: Impact of AI across different fields like healthcare and wildlife conservation

AI in Business

Hosted by Daniel Faggella, this podcast is aimed at nontechnical business leaders interested in integrating AI into their operations. It discusses practical applications of AI in business, featuring interviews with leaders from major companies and insights into AI implementation strategies.

  • Host: Daniel Faggella
  • Frequency: Weekly episodes
  • Episode Length: About 30 minutes
  • Guests: AI executives from Fortune 500 companies and startups
  • Topics: Practical applications of AI in business

Practical AI: Machine Learning, Data Science

This podcast makes AI accessible to a broader audience, breaking down the latest trends in AI and machine learning through discussions with technology professionals and industry experts. It tackles diverse topics in an understandable format, allowing listeners to apply this knowledge to real-world situations.

  • Hosts: Daniel Whitenack and Chris Benson
  • Frequency: Weekly
  • Episode Length: Around 45 minutes
  • Guests: Practitioners and researchers in AI and machine learning
  • Topics: Real-world applications and innovations in AI and machine learning

Eye on AI

Hosted by Craig S. Smith, this podcast explores the latest trends and ethical issues in AI through interviews with researchers and tech business leaders. It provides a comprehensive look at the developments and challenges in the AI landscape.

  • Host: Craig S. Smith
  • Frequency: Weekly episodes
  • Episode Length: Typically about 30 minutes
  • Guests: AI researchers and tech business leaders
  • Topics: Latest trends and ethical issues in AI

Simulated Reality

Hosted by AIM Research, this podcast offers clear explanations of machine learning concepts and discusses the broader impact of AI technologies. It aims to make complex topics in AI understandable and relevant to a general audience with 

  • Hosts: Kashyap Raibagi, AIM Team
  • Frequency: Weekly during the season
  • Episode Length: Usually about 30-60 minutes
  • Guests: Experts in Gen AI and AI
  • Topics: Gen AI innovations and the broader impact of AI technologies

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Hosted by Sam Charrington, this podcast covers a wide range of topics in AI and machine learning, featuring interviews with leading minds in the field.

  • Host: Sam Charrington
  • Frequency: Multiple episodes per week
  • Episode Length: Generally ranges from 30 to 60 minutes
  • Guests: Thought leaders in AI and machine learning
  • Topics: A wide range of topics in AI, machine learning, and deep learning
Picture of Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at
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