Clare Vale tours Google I/O’s AI blitz, from Gemini 3.5 and agentic coding tools to new image and video generators aimed at consumers and creators. The takeaway is a mix of genuine speed and multimodal promise, plus the familiar frustration of confusing product names and half-working launches.

A Google executive and longtime labor economist argues that AI is more likely to reshape work than erase it, even as new forecasting data suggests a small but meaningful chance of far more severe disruption. The conversation pits Silicon Valley’s job-loss rhetoric against a slower, messier reality in which tasks automate faster than occupations, and policy failures may matter more than the technology itself.

Product leadership coach Petra Wille argues that strong leaders are still essential in an AI-scrambled workplace, even as tools tempt companies to flatten roles and mistake speed for judgment. She lays out the thinking behind her new product leadership wheel, a framework meant to help leaders assess how they spend their time, sharpen role clarity and build healthier, more intentional organizations.

Oncologist and former Cancer Moonshot adviser Dr. Komal Megharajani talks through how AI is actually entering healthcare: not as a miracle cure, but as documentation help, clinical decision support and a new layer on top of physicians’ judgment. The conversation keeps one foot in policy and another in the clinic, tracing how evidence, training, regulation and lived experience shape what these tools can and cannot do.

Molly Graham talks with Instacart co-founder Max Mullen about the gap between AI hype and actual utility, tracing her own skepticism to the moment a chatbot became a credible writing collaborator. Their conversation lands on a practical case for experimentation: the tools are improving fast, best used on mundane tasks, and still bounded by the need for human judgment.

Fiona Feng argues that AI has shifted software engineering’s bottlenecks away from writing code and toward verification, review and cross-functional coordination. Drawing on the rapid evolution of Anthropic’s Claude Code team, she makes the case for flatter orgs, lighter planning and a willingness to kill processes that quietly outlive their purpose.

Two longtime co-hosts finally record in person and use the occasion to take stock of work, ambition and the strange freedom of building together. Their conversation turns on optionality in the AI era, the difference between bootstrapping and playing someone else’s game, and the culture they are trying to design one week at a time.

A conversation about replacing unread Markdown specs with HTML artifacts that people actually engage with, turning plans, mockups, and even one-off interfaces into collaborative tools for working alongside AI. As agents get cheaper and more capable, the real managerial work shifts toward allocating compute, shaping context, and staying close enough to the process to judge what is worth building.

As BuzzFeed sells a controlling stake to Byron Allen, outgoing CEO Jonah Peretti argues that digital media’s platform era collapsed into a deals business and bets AI can rebuild both the company and the products people use directly. The conversation turns over old wounds from Facebook’s broken promises to creator economics, then lands on an ambitious, still-fuzzy vision of BuzzFeed as an AI-powered media and social platform.

Hardware veteran Caitlin Kalinowski argues that AI’s next great expansion will happen not on screens but in factories, robots and supply chains, where safety, manufacturing know-how and geopolitical risk matter as much as software. Drawing on stints at Apple, Meta and OpenAI, she sketches a future shaped by AR, drones and reindustrialization, while warning that war may change faster than consumer tech.

A lively Friday roundtable uses newly surfaced court documents to probe Satya Nadella’s unease with Microsoft’s OpenAI deal, then widens into a brisk survey of Google, Anthropic, Apple and the strange market logic of the AI race. The hosts also delight in a prank that passed off a real Monet as machine-made, using the backlash to ask what happens when taste, authorship and authenticity all get harder to pin down.

Figma’s CFO traces a rise from early-career finance hire to public-company executive, crediting luck, first-principles thinking and a willingness to grab the work no one else owned. The conversation widens into how finance leaders build trust, make bets in the AI era and prepare companies for the scrutiny of public markets long before an IPO.

Brendan Ballou argues that forced arbitration has become a private justice system, built by courts and terms of service that strip consumers and workers of meaningful recourse. The conversation links that quiet legal machinery to a broader crisis of corporate power, public corruption and the feeling that ordinary people are locked out of real accountability.

Riyaz Factory’s founders describe a biologically driven alternative to plastic recycling, using enzymes and AI to break polymers back into their original monomers instead of degrading them with heat. Their conversation traces the science, the limits of traditional recycling, and a startup effort to build a low-energy circular process that could plug into existing industrial supply chains.

Neuroscientist and physician Mithu Storoni argues that in an AI-saturated workplace, human efficiency should be measured by the quality of ideas rather than the quantity of output. She explains how attention, creativity, learning, and even boredom follow distinct brain states that managers can better support through flexible schedules, protected focus time, and work designed around natural cognitive rhythms.

Anders Hejlsberg traces the accidents, lawsuits, and internal battles that shaped Turbo Pascal, C#, and TypeScript, from Java’s legal fallout to Microsoft’s uneasy embrace of open source. The conversation doubles as a philosophy of language design: tooling matters as much as syntax, AI still needs deterministic systems beneath it, and great developer platforms are built on decade-long bets.

Joanna Stern joins Big Technology to talk through her year of using AI for nearly everything, from parenting and health questions to work, wearables, and even a flirtation with an AI boyfriend. The conversation treats AI less as a futuristic gimmick than as an intimate, sometimes unsettling layer in ordinary life, where convenience, companionship, and bad habits start to blur.

Noah Breyer describes an unusually practical AI stack: an Obsidian vault synced to a home server, cloud coding agents that search and summarize his notes, and a phone-based workflow that turns dead time into deep work. The conversation broadens into a larger argument about probabilistic software, bureaucratic organizations, and why AI is often more useful as a reader and thinking partner than as a writer.

Casey Newton and Ella Marciano open a new Platformer series with survey data showing AI adoption is highest among managers and top earners, while junior workers and administrative staff remain more skeptical of its benefits. A later conversation with Box CEO Aaron Levie argues that enterprise software will be remade by agents, but that most jobs will shift rather than disappear as human work moves to the harder, higher-value last mile.

A new report from CircleCI suggests AI coding tools are widening the gap between elite software teams and everyone else: the fastest shops are shipping dramatically more code, while the middle muddles through bugs, stalled projects, and cleanup. Paul Ford and Rich Ziatti argue that the payoff comes less from the tools themselves than from disciplined process, strong technical judgment, and organizations willing to confront AI’s confident mistakes.