Reporting archive
Evidence on AI and work
Reporting archive

Yale and Brookings just put the AI-jobs panic under a microscope and found ordinary churn, not a quake.

O’Leary’s tidy “AI reallocates” line only works if leaders pay for the bridge—upskilling at home and visas that don’t price out the talent to make it real.

California’s SB 53 forces frontier AI to ship with a paper trail, turning safety ops, incident reporting, and human-in-the-loop design into the new launch checklist.

The Guardian just moved the UK’s AI debate from hype to a worker mandate: no distribution, consent, and compensation—no deal.

Walmart just made “every job” a work order—keeping 2.1M workers while rewiring roles with AI and a 2026 national certification that could reset retail’s job spec.

Europe’s AI edge will come from converting public euros into cross‑border, mid‑career reskilling at scale before the calendar quietly turns into a layoff machine.

Cisco quietly routed 1.5 million ‘easy’ tickets to AI—now day-one jobs start where the scripts fail.

The IMF just recast AI as a balance-sheet risk and an infrastructure mandate—from the socket to the skills pipeline—warning that U.S.-centric capital could turn a productivity bet into a correlated shock.

Indeed’s new GenAI Skill Transformation Index is less a layoff forecast than a wiring diagram for your workflows—showing which skills flip to hybrid, which stay human, and where the bottlenecks move next.

UN’s new map shows AI isn’t killing most jobs—it’s carving out the high-value bits and leaving women with the leftovers unless we redesign the work.