Reporting archive
Evidence on AI and work
Reporting archive

Amazon is recoding HR into a platform, signaling AI-driven cuts of up to 15% in PXT and a shift from people doing tasks to systems running them.

Labor just rewired workplace AI by dragging decisions into design and procurement, putting workers’ hands on the override and vendors on the hook.

Goldman used an earnings beat to roll out an AI-first operating plan that trims transaction roles, rewires workflows, and hires in deployment waves with risk and governance baked in.

Salesforce isn’t automating San Francisco; it’s trying to make the city the operating system for agents—and the jobs that run them.

India’s AI roadmap swaps layoff angst for agency, aiming to convert routine IT/CX roles into system-level AI work by pairing a national talent mission with an open compute commons.

If Gartner’s right, the next big AI constraint isn’t compute—it’s proving a qualified human actually took the risk.

When Google tells boards that AI widens service before it trims staff, the budget math—and the layoff timeline—shifts.

The entry-level isn’t being fired—it’s being outbid by software, with training debt and downtime risk quietly stacking up.

Acrisure didn’t just automate 400 accounting jobs—it packaged the work and plans to sell it.

Kashkari flips the AI layoff script: the data-center capex boom is fattening the term premium and freezing hiring even as the Fed nudges rates down.