Reporting archive
Evidence on AI and work
Reporting archive

Workers welcome AI for tasks but brace for job cuts, reshaping how companies deploy tools and how policymakers sell reskilling.

Jensen Huang’s understated verdict—roles get rewritten, not erased—just handed boards a near-term playbook to capture productivity, redeploy talent, and normalize AI-augmented baselines.

The White House just said the quiet part out loud: AI is pausing entry-level hiring while Washington floors the accelerator on compute.

Sen. Mark Warner just put a 25% unemployment clock on new grads—and a plan to expose AI-driven entry-level erosion before it scars a cohort.

Britain just turned Scunthorpe’s new furnace into a test of whether the state can orchestrate AI-driven reskilling as tightly as it funds steel.

Google’s $40B Texas bet moves AI work from code to kilowatts, swapping swag for hard hats and turning the grid into a hiring engine.

In 2025, AI-tagged layoffs have become the new signal of managerial courage—and the market is rewarding the companies that show it.

Singapore just fused AI governance with a workforce plan, turning compliance into a hiring roadmap for finance.

This holiday, retailers aim for trillion-dollar sales while making the leanest seasonal hires since 2009—because the first wave of temps now lives in software.

Gartner didn’t predict a jobs apocalypse—it issued the renovation plan, with 2028–2029 as the hinge and work design as the budget line.