Reporting archive
Evidence on AI and work
Reporting archive

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.

As AI reshapes the job landscape, it’s not just about tech jobs disappearing—it’s about the rise of skilled trades in the AI revolution.

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.

Congress let an LLM score which tasks are on the chopping block, christened it “artificial labor,” and paired the estimate with a 32-hour week and profit-sharing to capture the gains before they trickle away.

John Chambers just moved AI anxiety upstairs: companies that can’t collapse decision latency and replatform around software will disappear—and so will many of their leaders.