AI Podcasts 🎙 Audio & Video

Agentic commerce is no longer science fiction — it’s arriving in your browser, your development IDE, and soon, your bank statement. In this episode of The MAD Podcast, Matt Turck sits down with Emily Glassberg Sands, Stripe’s Head of Information, to explore how autonomous “buying bots” and the Model Context Protocol (MCP) are reshaping the very mechanics of online transactions. Emily explains why intent, not clicks, will become the primary interface for shopping and how Stripe’s rails are adapting for tokens, one-time virtual cards, and real-time risk scoring that can tell good bots from bad ones in milliseconds.

Matthias Loskyll, head of virtual control and industrial AI at Siemens Factory Automation, joins the NVIDIA AI Podcast to discuss how AI, simulation and digital twins are making significant impacts in manufacturing. From automating defect detection with Siemens Inspekto to enhancing production efficiency, NVIDIA’s collaboration with Siemens is making advanced automation accessible and secure for manufacturers.

On this episode of AI & I, guest host Mike Taylor sat down with Daigle at Microsoft Build to discuss how GitHub is building infrastructure for an agent-native world: agentic code review, model routers that automatically select the right model for the task, and a philosophy that the most durable advantage in this market is developer choice.

AI is now running at a $175 billion annualized revenue rate, with token demand, compute, and power growth reshaping the economy around it. NLW breaks down new research from Exponential View on why the AI boom may be more revenue-validated than the bubble discourse suggests. In the headlines: Fable relaunch rumors, agent regulation, California’s Claude deal, Amazon-Anthropic pricing, Meta’s distillation worries, GPU price hikes, and “Ramageddon.”

OpenAI just previewed GPT-5.6, but for the first time, the U.S. government is deciding who gets access to a frontier AI model. Paul Roetzer and Mike Kaput break down what they're calling the soft nationalization of artificial intelligence: a staggered, government-approved release, the Dean Ball essay responding to it, and what it means when Washington, not the labs, controls the most powerful models. Plus: OpenAI's new Codex research on agents at work, the looming question of Chinese models, and the data center backlash uniting both parties.

Munjal Shah, CEO of Hippocratic AI, discusses how AI agents can dramatically expand healthcare capacity and access. With 1.8 million patient calls completed and an 8.95/10 satisfaction rating, Hippocratic's safety-focused LLM demonstrates how optimized AI inference can handle routine patient monitoring, post-surgery check-ins, and medication management - freeing human clinicians to focus on complex care requiring physical intervention. Learn about their constellation architecture using 22 models for safety validation and how their healthcare AI agent app store enables clinicians to scale certain aspects of their expertise.

Mike Pritchard, Director of Climate Simulation Research at NVIDIA, discusses how artificial intelligence is enhancing the way we model and predict climate patterns. From developing high-resolution, interactive simulations to accelerating climate forecasts, AI is enabling scientists, policymakers, and businesses to gain a deeper understanding of extreme weather and long-term climate change. Learn more at ai-podcast.nvidia.com.

Danny Wu, Head of AI Products at Canva, explains how AI is transforming visual communication from a tool for professionals into superpowers for everyone. With over 18 billion uses of their AI features, Canva demonstrates how machine learning evolved from content search to generative design tools that let anyone create on-demand visuals. Plus, hear how they're prioritizing user consent and transparency while scaling AI across 230 million users. Learn more at ai-podcast.nvidia.com

Rama Akkiraju, VP of IT for AI and ML at NVIDIA, discusses the transformative power of AI in enterprises. Akkiraju highlights the rapid evolution from perception AI to agentic AI and emphasizes the importance of treating AI as a new layer in the development stack. She also shares insights on the role of AI platform architects and key trends shaping the future of AI infrastructure.