Top 7 AI Podcasts You Need to Follow in 2025
“Stay ahead of the curve with top voices in AI tools, trends, and techniques.”
Artificial Intelligence (AI) is evolving at breakneck speed, and staying updated is no longer optional. Whether you’re a digital strategist, product manager, founder, or just AI-curious, the right podcast can keep you informed, inspired, and innovative.
In 2025, podcasts aren’t just for entertainment—they’re practical tools for continuous learning in a field that doesn’t sit still. As LLMs and reasoning models continue to shape how businesses scale and innovate, keeping pace is essential.
However, not everyone has time to read whitepapers or attend conferences. That’s where podcasts come in.
Why Focus on AI Podcasts?
Because they:
Offer diverse perspectives on AI safety, strategy, and scale.
Bridge the knowledge gap between research and practical applications.
Fit into your life, allowing learning during commutes, workouts, or downtime.
To help you cut through the noise, here are 7 must-follow AI podcasts for 2025:
1. High Agency
Host: Raza Habib (CEO, Humanloop)
High Agency is tailored for AI builders aiming to create reliable AI applications using large language models (LLMs) and generative AI. Hosted by Raza Habib, CEO of Humanloop, the podcast delves into the practical aspects of AI product development, featuring insights from industry leaders and pioneers.
Key Features:
- Expert Interviews: Each episode features discussions with AI professionals, sharing their experiences and strategies in building AI products.
- Real-World Applications: Focuses on the deployment of AI in production environments, addressing challenges and solutions.
- Hands-On Insights: Offers actionable advice on integrating AI tools into existing systems.
Tools and Techniques:
- LLM Deployment: Strategies for deploying large language models effectively.
- Generative AI: Techniques for leveraging generative AI in product development.
- AI Product Management: Insights into managing AI projects from conception to execution.
Accessibility:
The podcast is available on major podcast platforms, including Apple Podcasts, Spotify, and the Humanloop website.
2. Latent Space
Hosts: Alessio Fanelli (CTO, Decibel) & Swyx
Latent Space delves deep into AI engineering, focusing on the era of code generated by AI. The podcast explores the latest research, tools, and infrastructure shaping the future of AI development.
Key Features:
- Technical Deep Dives: In-depth discussions on AI models, infrastructure, and engineering practices.
- Guest Experts: Interviews with leading figures in AI research and development.
- Emerging Trends: Exploration of new methodologies and technologies in AI engineering.
Tools and Techniques:
- AI Infrastructure: Insights into building and scaling AI infrastructure.
- Model Optimization: Techniques for optimizing AI models for performance and efficiency.
- Open Source Tools: Discussions on the role of open-source tools in AI development.
Accessibility:
The podcast is available on Substack and major podcast platforms. It also offers a newsletter for subscribers, providing summaries and additional content.
3. No Priors
Hosts: Elad Gil & Sarah Guo
No Priors offers a strategic perspective on the AI revolution, featuring conversations with top AI researchers and founders. The podcast tackles big-picture questions about AI’s impact on various industries and society.
Key Features:
- Industry Leaders: Interviews with influential figures in AI and technology.
- Market Insights: Analysis of how AI is reshaping different sectors.
- Future Predictions: Discussions on the future of AI and its potential developments.
Tools and Techniques:
- AI Strategy: Insights into developing and implementing AI strategies in businesses.
- Market Analysis: Techniques for assessing the impact of AI on various markets.
- Product Development: Approaches to creating AI-driven products and services.
Accessibility:
Available on Apple Podcasts, Spotify, and other major podcast platforms. The podcast’s website provides additional resources and episode summaries.
4. The Cognitive Revolution
Hosts: Nathan Labenz & Erik Torenberg
The Cognitive Revolution explores AI’s transformative potential, featuring in-depth interviews with builders, researchers, and investors at the AI frontier. The podcast examines how AI is reshaping business, policy, and society.
Key Features:
- Expert Interviews: Conversations with leading figures in AI research and development.
- Policy Discussions: Exploration of AI’s impact on policy and governance.
- Business Implications: Analysis of how AI is transforming industries and business models.
Tools and Techniques:
- AI Policy: Insights into the development of AI policies and regulations.
- Business Strategy: Techniques for integrating AI into business strategies.
- Ethical Considerations: Discussions on the ethical implications of AI technologies.
Accessibility: The AI podcast is available on Apple Podcasts, Spotify, and the Turpentine podcast network. It also offers a website with episode summaries and additional content.
5. The AI Podcast
Host: Noah Kravitz (NVIDIA)
The AI Podcast by NVIDIA explores AI’s real-world impact across various industries. Hosted by Noah Kravitz, the podcast features guests from diverse fields discussing how AI is driving innovation and solving complex problems.
Key Features:
- Diverse Guests: Interviews with professionals from fields like wildlife biology, astrophysics, and retail.
- Real-World Applications: Exploration of how AI is being applied to solve practical challenges.
- Innovative Solutions: Discussions on innovative uses of AI in different sectors.
Tools and Techniques:
- AI Applications: Insights into the application of AI in various industries.
- Technological Innovations: Exploration of new AI technologies and their potential uses.
- Problem-Solving: Techniques for using AI to address complex problems in different fields.
Accessibility:
Available on NVIDIA’s official website and major podcast platforms. The website provides episode transcripts and additional resources for listeners.
6. Prompt Engineering Podcast
Host: Greg Schwartz
The Prompt Engineering Podcast is a generative AI that becomes ubiquitous. This podcast offers practical, hands-on strategies for crafting effective prompts to optimize outputs for tasks like content creation, coding, and image generation.
Key Features:
- Specialized Focus: Solely dedicated to prompt engineering, a critical skill in 2025.
- Expert Tips: Guests share frameworks for prompt design and testing.
- Practical Examples: Episodes demonstrate prompts and their outputs across industries.
- Rapid Insights: Short, focused episodes (20–30 minutes) deliver quick takeaways.
Tools and Techniques
- Prompt Frameworks: Chain-of-thought, few-shot, and role-based prompting.
- Tools: ChatGPT, Claude, and DALL·E for text and image generation.
- Optimization: A/B testing prompts and iterative refinement.
- Applications: Prompts for coding (e.g., GitHub Copilot) or creative writing. An episode on “prompt chaining” showed how to break complex tasks into sequential prompts for better results.
Accessibility:
Free on Spotify, Apple Podcasts, and promptengineeringpodcast.com, with transcripts for all skill levels.
7. TWIML AI Podcast
Host: Sam Charrington
This Week in Machine Learning & AI (TWIML) is a cornerstone podcast that covers the latest developments in AI and ML research and applications. With a focus on both technical depth and business implications, it features researchers, engineers, and executives discussing topics like LLMs, deep learning, and AI ethics.
Key Features:
- Broad Scope: Covers research (e.g., AGI pathways) and practical applications (e.g., image recognition).
- Expert Guests: Includes leaders from Meta AI, Google Research, and startups.
- Balanced Perspective: Combines technical details with strategic insights for businesses.
- Community Engagement: Active on X, with detailed show notes linking to resources.
Tools and Techniques:
- Deep Learning: TensorFlow and PyTorch for model training.
- LLMs: Techniques for scaling and deploying models like LLaMA.
- AI Ethics: Tools for bias detection and fairness in ML pipelines.
- Industry Use Cases: Deep learning for fraud detection or healthcare diagnostics. A recent episode on AGI discussed hybrid architectures combining LLMs with symbolic reasoning, a hot topic for 2025.
Accessibility:
Free on Apple Podcasts, Spotify, and twimlai.com, with transcripts for technical and business audiences.
Conclusion: Start Building Your AI Learning Routine
AI Podcasts are a great gateway to understanding AI, but real progress comes when you build. Pair what you hear with hands-on tools like Hugging Face, OpenAI, or Replicate.
Watch for These 2025 Trends:
- Real-time AI output validation tools
- Multilingual support in large models
- Smart use of synthetic (fake) data for training
Start small: pick 2–3 shows you connect with, block time weekly, and explore the tools discussed. This listen-and-do combo is your best bet to stay sharp and ahead of the AI curve.
Now hit play—and build something AI-smart.
Footnotes:
Additional Reading
- Mistral OCR 2503: A Game-Changer in Unstructured Data Extraction
- Logistic Regression for Machine Learning
- Cost Function in Logistic Regression
- Maximum Likelihood Estimation (MLE) for Machine Learning
- ETL vs ELT: Choosing the Right Data Integration
- What is ELT & How Does It Work?
- What is ETL & How Does It Work?
- Data Integration for Businesses: Tools, Platform, and Technique
- What is Master Data Management?
- Check DeepSeek-R1 AI reasoning Papaer
OK, that’s it, we are done now. If you have any questions or suggestions, please feel free to comment. I’ll come up with more topics on Machine Learning and Data Engineering soon. Please also comment and subscribe if you like my work, any suggestions are welcome and appreciated.
