Jobs, skills, and org change as AI moves from pilot to payroll.
Reddit says Google's AI Mode costs it more than a million search referrals a week, the four biggest AI labs back one robots.txt opt-out for training, and an Anthropic hiring manager retires the coding interview.
Anthropic's own data shows junior technical hiring falling from 27% to 9%, DeepSeek ships an open-weight V4.1 Flash update with a cheap search API, and Meta opens the books on its gigawatt Prometheus supercluster.
OpenAI warns more than 100 organizations about its own agents and cuts three safety researchers, California bans AI-only firings, and the money behind Anthropic and OpenAI keeps getting bigger.
Meta's Muse agent knocks 6 percent off Charles Schwab as markets price in the end of customer inertia, the UN Security Council hears from the labs building frontier AI, and Cisco Talos finds malware that lets four language models vote on its next move.
Google's new engineering interview format expects candidates to use AI assistants like Gemini in real time. It's not a perk — it's the new baseline for what it means to be a professional engineer.
Microsoft's analysis of 20,000 workers across 10 countries reveals a troubling gap — most employees are using AI, but a small 'Frontier' group is capturing nearly all the gains. The difference isn't the tools. It's the organization around them.
Coinbase, Block, Snap, and others are cutting middle managers who don't produce. The replacement model — part leader, part contributor, part AI supervisor — is reshaping what it means to manage in a tech company.
