10 Best AI Podcasts in the US for Tech Professionals

Artificial intelligence in 2026 is not just a buzzword, it’s a driving force behind business innovation, scientific discovery, and daily life. Tech professionals face a constant challenge: keeping up with astonishing breakthroughs, evolving ethical debates, enterprise adoption, and the creative use cases emerging every week. That’s why industry-leading podcasts have become must-have sources of deep learning, practical application, and real conversations with the world’s best minds in AI. These podcasts go beyond surface-level news, offering proven strategies, expert interviews, and up-to-the-minute research that change the way professionals think and work. Whether locking in knowledge during your commute or looking for career inspiration, these 10 US-based AI podcasts stand out for their real value and engaging delivery.

I’m Riten, founder of Fueler, a platform that empowers freelancers and professionals to land opportunities by showcasing authentic proof of work. Engaging with top AI podcasts not only sharpens your technical knowledge but also helps expand your professional network and credibility, which you can effectively highlight through a strong portfolio on Fueler.

1. Lex Fridman Podcast

The Lex Fridman Podcast delves deeply into AI’s technical innovations as well as its philosophical and societal ramifications. Lex’s conversations with leading experts offer a unique blend of technical detail, ethical exploration, and career guidance, presented in thoughtful, long-form discussions. Listeners gain a rich understanding of machine learning, robotics, and AI’s future impact.

• Features top AI researchers, entrepreneurs, philosophers, and ethicists
• Explores topics from neural networks and automation to consciousness and AI safety
• Known for deep, reflective, and often philosophical interviews
• Provides practical insights into career development and innovation mindset
• Appeals to learners seeking both scientific and humanistic perspectives

Why it matters: This podcast provides a holistic understanding of AI, helping professionals navigate the complex technical landscape while considering ethical and societal implications that influence future AI deployment.

2. TWIML AI Podcast (This Week in Machine Learning & AI)

Hosted by Sam Charrington, TWIML AI Podcast is designed for practitioners and decision-makers interested in cutting-edge AI research and real-world applications. The show offers structured interviews with a wide range of AI experts who share insights on trends, techniques, and deployment strategies in machine learning.

• Weekly episodes feature prominent engineers, researchers, and corporate AI leaders
• Breaks down complicated research papers and product launches into actionable knowledge
• Covers specialized domains like MLOps, NLP, generative AI, and data engineering
• Combines theory, experimentation, and practical business impact
• Offers listener Q&A and mini-series focused on key AI topics

Why it matters: TWIML is essential listening for professionals who want detailed, applicable knowledge and to stay up-to-date on rapidly evolving AI techniques and commercial use cases.

3. The AI Podcast by NVIDIA

The AI Podcast by NVIDIA showcases the companies, people, and products accelerating artificial intelligence innovation. The show is known for its clear explanations of AI technologies, particularly where AI intersects with powerful GPU computing and practical enterprise deployments.

• Conversations with AI developers, startup founders, and corporate innovators
• Highlights AI in gaming, autonomous vehicles, healthcare, and creative industries
• Explains NVIDIA’s hardware/software AI ecosystem and breakthroughs
• Focuses on translating research into real-world impacts and business value
• Includes inspiring stories about AI’s role in transforming sectors

Why it matters: NVIDIA’s podcast offers tech professionals a unique window into how hardware and AI algorithms converge to accelerate innovation across key industries in 2026.

4. Data Skeptic

Data Skeptic takes a critical yet accessible approach to AI and data science. It dissects the technical foundations of machine learning algorithms, data quality issues, and ethical concerns through interviews, mini-episodes, and analytical commentary.

• Focuses on model interpretability, data reliability, and AI fairness
• Interviews with academic researchers, industry practitioners, and policy makers
• Covers topics like statistics, Bayesian inference, and responsible AI
• Breaks down complex concepts into clear, bite-sized episodes
• Examines AI applications through a skeptical, research-focused lens

Why it matters: For professionals who want to balance enthusiasm with skepticism, this podcast nurtures critical thinking about models, ethics, and real-world viability of AI projects.

5. Artificial Intelligence Podcast (AI Alignment Forum)

This podcast is a venue for technical discussions focusing on building safe, aligned AI systems. It features leading researchers working on reducing risks while advancing machine learning capabilities.

• Technical interviews on AI safety, reinforcement learning, and transparency
• Explores topics like interpretability, reward modeling, and AI governance
• Covers foundational research into trustworthy and controllable AI
• Suitable for researchers, engineers, and policy professionals
• Engages with forward-looking challenges and solutions for AI alignment

Why it matters: It offers invaluable insights into the cutting edge of safe AI development, which is critical as artificial intelligence systems grow more powerful and ubiquitous.

6. Eye On AI

Eye On AI concentrates on the intersection of AI innovation and business impact. It provides candid conversations with AI founders, investors, and researchers driving commercial and social change.

• Covers breakthrough research and its translation into products and services
• Features US-based startups and industry leaders pushing AI boundaries
• Discusses ethical and regulatory issues alongside market trends
• Examines specific AI verticals like NLP, computer vision, and autonomous systems
• Connects listeners with the real-world impact of AI innovation

Why it matters: This podcast helps professionals understand which AI innovations will gain traction commercially and disrupt markets, offering practical angles for technology adoption and investment.

7. Gradient Dissent

Produced by Weights & Biases, Gradient Dissent is dedicated to taking an insider’s view on machine learning projects. It digs into the details of building and deploying models, with a focus on reproducibility and practical challenges.

• Interviews with ML engineers and researchers sharing project lessons
• Covers debugging, model interpretability, and ML lifecycle management
• Presents strategies to overcome common development hurdles
• Focus on open source and collaborative machine learning culture
• Appeals to industry practitioners working on production ML systems

Why it matters: Gradient Dissent is practical for ML engineers and developers who want real-world advice on creating robust, scalable AI solutions amidst complexity.

8. The TWIML AI Podcast (Extended Deep Dives)

A special series within TWIML that offers deep explorations of power topics such as generative AI, reinforcement learning, and AI ethics. These series help listeners decode complex themes step-by-step.

• Multi-episode deep dives on specific AI research areas or tools
• Detailed discussions on challenges in model training and deployment
• Episodes featuring expert panels and use case reviews
• Supplements core podcast with focused, advanced content
• Ideal for intermediate to advanced listeners seeking specialization

Why it matters: Extended series provide AI professionals with the depth necessary to master new AI specialties and incorporate cutting-edge research into their work.

9. Practical AI

Practical AI focuses on making artificial intelligence accessible to developers and business leaders. The podcast emphasizes how to integrate machine learning into existing workflows and products.

• Actionable tips and workflows for deploying AI systems
• Interviews with engineers and product managers on AI adoption
• Explains AI concepts without heavy math for decision-makers
• Covers both technology and business strategy perspectives
• Useful to bridge the gap between AI theory and applied solutions

Why it matters: This podcast equips professionals who want to leverage AI without needing a PhD, empowering broader AI inclusion in business and development.

10. AI in Business

AI in Business explores real-world AI cases across industries such as finance, retail, and healthcare. It interviews executives and practitioners about how AI is reshaping business processes.

• Focuses on AI ROI, implementation challenges, and leadership
• Highlights practical AI-driven innovations in enterprise settings
• Offers evidence-based insights from AI adoption stories
• Discusses strategic approaches to AI investment and risk
• Facilitates learning on scaling AI from pilot to production

Why it matters: This podcast helps decision-makers and tech leaders understand AI’s tangible benefits and pitfalls, enabling smarter business integration strategies.

Final Thoughts

Artificial intelligence is evolving rapidly, and staying informed is crucial for tech professionals. These 10 podcasts deliver expert insights, practical advice, and thought-provoking discussions that help you keep pace with the AI revolution. Regularly tuning into these shows will boost your knowledge, inspire innovation, and enhance your career readiness. Pair podcast learning with hands-on experience and a strong portfolio to rise above the competition in 2026’s AI-driven world.

Frequently Asked Questions

1. Which podcast is best for beginners in AI?

The TWIML AI Podcast and Practical AI provide excellent foundational content that explains ML and AI concepts in a clear, approachable way, making them perfect for beginners looking to build practical knowledge.

2. Are these podcasts suitable for professionals outside technical roles?

Yes. Many podcasts like AI in Business and The AI Podcast by NVIDIA offer strategic insights and real-world applications that business leaders, product managers, and marketers can leverage.

3. How often should I listen to keep up with AI developments?

Aim to listen to at least 1-2 episodes per week to stay informed about the fast-moving AI landscape and maintain continual learning without overwhelming your schedule.

4. Can podcasts replace formal AI education?

Podcasts complement formal education by offering ongoing updates, real-world perspectives, and expert interviews but should ideally be combined with courses and hands-on projects for comprehensive mastery.

5. How do I apply insights gained from AI podcasts at work?

Take notes during episodes, try applying concepts in your current projects, participate in AI community discussions, and showcase your learnings and projects on platforms like Fueler to demonstrate tangible skills.

What is Fueler Portfolio?

Fueler is a career portfolio platform that helps companies find the best talent for their organization based on their proof of work. You can create your portfolio on Fueler, thousands of freelancers around the world use Fueler to create their professional-looking portfolios and become financially independent. Discover inspiration for your portfolio

Sign up for free on Fueler or get in touch to learn more.