Mustafa Suleiman argues that Microsoft’s evolving partnership with OpenAI has pushed the company toward model self-sufficiency, even as he insists the alliance remains central to its AI strategy. In a wide-ranging conversation, he defends the coming wave of enterprise automation, rejects claims of machine consciousness, and says the technology will have to prove itself by making people healthier, happier, and more capable.

Tony Fadell argues that breakthrough products come from identifying real pain, pairing it with newly viable technology, and shaping the entire customer journey, from interface to marketing story. He warns that AI can accelerate prototyping but cannot replace human judgment, taste, and responsibility without leaving builders with brittle products and long-term debt.

Figma’s CMO argues that great marketing in 2026 is less about channel tactics than about creating coherence across product, growth, brand and community. The conversation traces how that mandate changes in an AI-saturated market, why shared goals matter more than siloed metrics, and how companies keep their taste and humanity as they scale.

A conversation about the so-called SaaS apocalypse argues that AI will not kill software so much as multiply it, pushing more people into building while preserving the value of products that handle maintenance, context and trust. Along the way, the speakers compare homemade agents, email triage, design systems and Figma’s bet that the future belongs to proactive, personalized tools that move fluidly between code and design.

Claire Ho tries to turn herself into an AI-generated on-screen character using Google Flow and Gemini’s video tools, building a glossy podcast hype reel while narrating every glitch, typo, and uncanny surprise. The experiment doubles as a case study in how multimodal AI can act less like a coding assistant than a rough-cut creative producer.

Labor economist Catherine Ann Edwards argues that the real danger is not an AI apocalypse but a government safety net too weak to handle ordinary job loss, recessions and worker disempowerment. As chip workers at Samsung win huge bonuses through union pressure, she makes the case for stronger unemployment insurance, labor power and tax policy instead of waiting for a technological crisis.

Alex Kantrowitz and MG Siegler parse an uneasy moment for Big Tech, from Google’s lagging AI product strategy to Apple’s foldable ambitions and Meta’s muddled subscription push. The conversation argues that agents and chatbots are converging into a new interface for the web, one that could reorder who controls computing itself.

Bryce Ratner-Keefly, a longtime talent leader with no technical background, talks through building and shipping a fitness app with AI tools, from rough prompts in Replit to App Store approval. Along the way, the conversation becomes a case study in beginner’s mindset, improvised workflows, and how quickly software building is slipping beyond the usual technical gatekeepers.

Recording Academy chief Harvey Mason Jr. sketches an industry already saturated with AI, where songwriters use models for everything from chord progressions to demo vocals even as the Grammys try to preserve a meaningful line around human authorship. The conversation also turns to the academy’s move from CBS to Disney, the politics of platform power, and the scramble to keep music culture visible in the age of TikTok.

Benedict Evans argues that AI is a platform shift on the scale of the internet or mobile: transformative, messy, and still too early for anyone to know where the real value or disruption will settle. He pushes back on jobpocalypse panic, sketching a slower, more uneven reshaping of work in which adoption, distribution, and new kinds of services matter more than apocalyptic forecasts.

A brisk, skeptical tour through the latest AI exuberance weighs soaring token bills against meager signs of productivity, while tracing how enterprise spending, circular financing and chip mania are feeding the boom. The conversation also turns to Anthropic’s leap past OpenAI, Robinhood’s plan to let chatbots trade, and the uneasy feeling that useful tools are being inflated by reckless incentives.

As AI’s appetite for computing power fuels a nationwide build-out of data centers, local fights over noise, water, electricity, secrecy and tax revenue are turning obscure industrial projects into a volatile new political issue. The backlash is scrambling familiar partisan lines, with populists on the left and right converging against a technology many communities feel is being imposed on them.

Claire Vo puts Anthropic’s new Opus 4.8 through early coding and strategy tests, finding a model that can nail a one-shot feature build yet falter on bug fixing, edge cases and business analysis. The result is a portrait of impressive raw capability undercut by shaky grounding, uneven ambition and a stubborn inability to finish the last mile.

Rivian’s top software executive sketches the uneasy marriage of startup speed and Volkswagen scale, as the companies build a shared EV operating system meant to underpin everything from the R2 to future Audis and Lamborghinis. The conversation turns just as quickly to Rivian’s in-car assistant, where voice control, safety limits and the long war over CarPlay reveal how much of the modern vehicle now lives in software.

A spirited debate over whether AI agents will erase jobs or reorganize them argues that automation mostly cheapens yesterday’s expertise, making human judgment, taste and direction more valuable. Drawing on life inside an aggressively AI-native company, the conversation pushes back on layoffs-and-doom narratives and treats adaptation, not retreat, as the real dividing line.

Dak Sarada, co-founder of OpenCode, talks about scaling an open-source coding tool to millions of users while resisting the fantasy that AI automatically makes teams faster or products better. The conversation circles the unglamorous work of taste, cleanup, and restraint, along with the economics of inference and the GPU bottlenecks shaping the AI boom.

Former Twitter CEO Dick Costolo sizes up a coming wave of AI and space IPOs, arguing that narrative discipline will matter as much as quarterly numbers when SpaceX, OpenAI, and Anthropic face public-market scrutiny. The conversation also turns to Meta’s internal malaise, Twitter’s stubborn durability, and the social backlash building around data centers and AI wealth.

Claire Vo makes the case for Codex Goals as the missing layer between one-off prompts and true autonomous work, where an AI agent keeps iterating until it can prove a task is done. Her examples range from debugging stubborn software errors to cleaning out thousands of unread emails and triaging an unruly project backlog.

Anthropic’s Boris Cherny argues that AI coding tools are already blurring the boundaries between engineer, manager and designer, even as their labor-market effects remain unsettled. Around that debate, the conversation traces how companies are pushing workers to adopt AI, rewarding token usage unevenly and fumbling toward a broader social response to automation.

Craig Mod joins Paul Ford and Rich Ciotti to talk about building bespoke accounting software for his unusually tangled life as a Japan-based American writer, publisher and membership entrepreneur. What starts with taxes and receipts opens into a wider argument about who gets to make software in the age of AI, and what kinds of human judgment still matter.