Kevin Roose traces the AI industry’s transformation from a loose research scene into a high-stakes race to build general intelligence, where rival labs sell enterprise software while chasing something closer to a machine god. He and Nilay Patel also consider whether the technology’s startling gains can overcome its brittleness, and whether a small circle of true believers can bear the consequences of its ambitions.

Bill Gates argues that AI’s most immediate dangers are cyberattacks, bioterrorism, and labor disruption, not debates over machine consciousness. He calls for enforceable safeguards and new public institutions to steer a turbulent transition toward abundance without surrendering human purpose.

Illinois Gov. J.B. Pritzker argues that governments must become more aggressive in protecting workers, privacy and public resources as AI reshapes the economy. He discusses data centers, surveillance, social media and the need for federal rules that can keep pace with powerful technology companies.

SpaceX’s spectrum purchases signal an ambition to turn Starlink into a full-fledged wireless carrier, pairing satellites with a costly terrestrial network. Walter Piecyk and Nilay Patel weigh whether Elon Musk’s company can unsettle a complacent, high-margin telecom industry.

Musician and researcher Ben Jordan traces the backlash to Flock’s license-plate-reader network, arguing that its real danger lies in private data sharing, weak security, and public officials who skipped meaningful oversight. He makes the case for transparent guardrails that restrain surveillance without mistaking one embattled startup for the entire system.

Ronan Farrow examines Sam Altman’s contested record of candor and the culture of secrecy, hype, and self-interest surrounding OpenAI. As AI companies race toward profit and political influence, the conversation asks whether meaningful oversight can still restrain an industry making existential claims.

Peter Kafka and Nilay Patel assess Skydance’s debt-heavy Warner Bros. takeover, with David Ellison betting on consolidation while offering little visible plan for growth. They trace the collision between Hollywood’s legacy franchises and the AI, social media, and streaming platforms eroding their value.

Meta’s Muse and OpenAI’s Dots are turning AI agents into cute, always-on assistants built to book trips, manage inboxes and take on knowledge work. Their race exposes a thornier question: whether consumers will trade sensitive data and independent recommendations for convenience.

Sen. Adam Schiff argues that voluntary AI safeguards cannot address the technology’s risks to privacy, jobs and national security, calling instead for a powerful federal regulator and clearer rules. The California Democrat also connects tech consolidation, media mergers and concentrated wealth to a broader crisis of public trust.

Nilay Patel separates AI’s immediate cybersecurity risks from the more speculative fears of sentient machines, arguing that powerful systems need transparent rules before they gain more autonomy. The conversation traces the industry’s calls for regulation to competitive distrust, public unease and a Congress ill-equipped to act.

A proposed 40,000-acre AI data center in rural Utah became a political disaster after residents learned too late of plans that promised colossal power demands and few local benefits. The fight over Kevin O’Leary’s Wonder Valley exposes how the AI infrastructure rush is colliding with water fears, public process and local democracy.

Atlassian CEO Mike Cannon-Brookes argues that AI will broaden knowledge workers’ roles rather than erase them, making design, judgment and interconnected software platforms more valuable. He also makes the case for Dia, Atlassian’s browser for organizing work across the sprawling SaaS stack.

Cloudflare CEO Matthew Prince argues that AI agents are upending the web’s advertising-driven economy, pushing publishers and platforms toward paid access for the data that trains and informs models. He also defends the company’s AI-driven layoffs and a flatter management structure, casting both as necessary adaptations to a changing internet.

Nilay Patel dissects Mark Zuckerberg’s claims about Meta glasses, teen safety and AI, pressing on the gaps between Meta’s market rhetoric and its appetite for regulation. The critique follows the company’s ambitions to build the next dominant platform while shifting the social costs onto users and communities.

Bloomberg’s Mark Gurman sizes up John Ternus’s Apple: a newly installed CEO inheriting an iPhone Duo launch, a sweeping executive turnover and an unfinished AI strategy. The conversation traces Apple’s race toward ambient, camera-equipped devices while its privacy-first identity faces a harder test.

Former DOJ antitrust chief Jonathan Kanter argues that AI companies need clear liability rules and safety standards, not an antitrust exemption to coordinate their way out of a costly arms race. He traces the fight over AI regulation through monopoly power, national champions and a rapidly shifting political order.

Microsoft AI chief Mustafa Suleyman argues that alignment alone cannot govern increasingly capable models, calling for containment, independent audits and limits on autonomous behavior. He also warns that treating AI systems as potential moral patients could make them harder to control.

Comedian Adam Conover traces how Hollywood’s retreat from cable programming handed YouTube control of television’s middle, leaving creators to chase algorithms and brand deals. He argues for rebuilding a unionized creative infrastructure before platform economics hollow out entertainment entirely.

Nilay Patel fields listener criticism of Decoder’s AI coverage, from software’s limits and Google’s impact on publishing to surveillance, data centers and political backlash. The mailbag also examines the friction between social platforms’ growth ambitions and the communities that built them.

Sonos CEO Tom Conrad traces the company’s recovery from its app debacle to a broader reinvention around software, connected speakers and an audio operating system. He weighs the promise of AI assistants against the messy reality of smart homes, platform gatekeepers and consumer demand for convenience.