Reporting archive
Evidence on AI and work
Reporting archive

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.

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.
The AI bottleneck just moved from code to copper—and the winners wear hardhats.

With the official jobs report dark, a clearer signal emerged: AI-fueled productivity is letting firms boost output while quietly freezing headcount.

With the BLS offline, a single private report made AI a present-tense hiring constraint—and the first casualties are the bottom rungs of the career ladder.