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.

Ezra Klein and Republican strategist Liam Donovan argue over whether Donald Trump is sacrificing winnable races to tighten his grip on the GOP. Their conversation ranges from Ken Paxton and Susan Collins to Tucker Carlson and J.D. Vance, tracing a party whose future may depend less on policy than on loyalty, attention and grievance.

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.

Caroline Wanga traces a career built less on certainty than on curiosity, describing how a series of self-made maps helped her test roles, recognize her strengths and know when it was time to move on. The conversation widens into a candid philosophy of work, urging people to trade personal branding for personal purpose and to treat failure and doubt as material for growth.

Shake Shack’s digital transformation shows how a hospitality-first brand can add kiosks, mobile ordering, and personalization without turning the customer experience into a machine. The conversation traces how the fast-casual chain scaled by learning from competitors, using data carefully, and treating technology as a support for human judgment rather than a substitute for it.

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.

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.

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.

Nilay Patel presses Sundar Pichai on Google’s AI reorganization, the rapid spread of Gemini and agents across search and software, and what those shifts mean for publishers, creators and the fragile idea of a common web. Pichai argues that Google is building toward more capable systems while insisting the open web remains essential, even as search grows more opinionated, personalized and self-contained.

A Friday roundtable weighs whether OpenAI and Anthropic are racing to public markets before their growth stories cool, while parsing the accounting, infrastructure bets and investor narratives beneath the AI boom. The conversation also skewers SpaceX’s far-fetched pitch for orbital data centers and treats commencement-season boos as a warning that the public is souring on Silicon Valley’s vision of automation.

A veteran enterprise sales leader argues that AI has changed the tempo of software selling more than its fundamentals. The conversation traces why enterprise customers still want hands-on change management, why AI-native buyers compress decisions into days, and why great go-to-market teams raise the floor with process without crushing the ceiling for human judgment.

A veteran software sales leader argues that AI has changed the tempo of selling far more than its fundamentals. Enterprise buyers still need opinionated partners, hands-on rollout help and trust built through real relationships, even as AI-native customers compress cycles into days and expect constant, asynchronous collaboration.

Nilay Patel and Liz Lopatto sort through the spectacle and legal debris of Musk v. Altman, a trial nominally about OpenAI’s nonprofit origins but really driven by Elon Musk’s bid to punish Sam Altman. Their conversation sketches a courthouse circus, a statute-of-limitations defeat, and an AI industry where dishonesty feels less disqualifying than fully priced in.

A conversation about how middle managers can move big ideas upward by framing problems in strategic terms, building coalitions, and anticipating resistance before they enter the room. Sue Ashford and Ellen Bailey break down the politics, emotional discipline, and practical persuasion required to turn insight from the middle into organizational change.

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.

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.

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.

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.