Reporting archive
Evidence on AI and work
Reporting archive

Powell just legitimized AI-driven hiring freezes, warning job creation is “pretty close to zero” even as capex roars—reshaping incentives, labor metrics, and the path of rates.

A benchmark that pays for deliverables found today’s agents can only bill for a sliver of real work—about 2.5%—resetting the automation narrative.

AI just turned “do more with less” into headcount policy—and the new org architects sit in procurement.

AI is gifting teams 1.5 hours a day—and most companies are squandering it in meetings, handoffs, and Slack.

Amazon just turned AI from a productivity slide into a headcount decision—and every board now has cover.

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.