Reporting archive
Evidence on AI and work
Reporting archive

This week’s AI job market updates reveal a stark reality: adapt or risk being left behind as automation reshapes employment landscapes.

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.

Altman just turned ‘assistive’ customer service into a category the models will own, and Monday’s job descriptions won’t look the same.

Arizona just started the clock in Phoenix—Tesla’s monitored robotaxis are rolling, and the quiet squeeze on driving work begins.

This quarter, the only ‘new hires’ many firms made were racks of servers—a bet that productivity shows up before the jobs do.

As AI reshapes the job landscape, industry leaders warn of significant displacement and the urgent need for policy intervention.

A frontier lab took its jobs forecast to Washington—and in doing so, gave policymakers and boardrooms permission to accelerate automation.