Reporting archive
Evidence on AI and work
Reporting archive

A weekend soundbite became the scaffold for policy, proving that in the AI-and-jobs fight, language moves money faster than models do.

Salesforce is automating support while hiring thousands of AEs, betting AI will flood the funnel but leave trust-heavy closing to humans.

AI’s first labor shock isn’t layoffs—it’s a bidding war for people who can make the models matter.

AI’s jobs story just moved from spreadsheets to switchyards as OpenAI, Oracle, and Vantage drop a near‑gigawatt “Lighthouse” campus on Lake Michigan, hiring by the thousands.

Amazon just put dates and dollars on a plan to scale logistics by skipping hundreds of thousands of hires—precision automation as a headcount strategy.

Citi’s $25M is a push to preinstall apprenticeship—training low-income young adults on AI-era workflows—and a challenge to employers to rebuild the first rung of work.

Gartner just put a date on the end of unassisted IT work—and it rewires your hiring plan from the help desk up.

An op-ed from Google’s chief economist and Diane Coyle reframes AI as a task editor—and dares Washington to fund paid, portable, verifiable learning to make the edits stick.

Dylan Field just flipped AI from a cost cutter to a demand engine—and says that means more hires, not fewer.

Newsom’s veto didn’t kill bossware—it killed the speed limit, ushering in a year of fast, opaque AI in HR.