Reporting archive
Evidence on AI and work
Reporting archive

When advice costs nothing and megawatts don’t, the Fed’s definition of slack—and your next rung up—are both on the line.

If AI makes judgment cheap and robots do the lifting, the real battle isn’t tasks—it’s who owns the pipes that pay you.

When the laptop writes the minutes, the job shifts from keystrokes to judgment, and not everyone gets a soft landing.

The headline payrolls still smile, but finance and information are quietly shedding about 28,000 jobs a month as AI-ready, tightly documented workflows make the cuts show up in the footnotes.

Follow the invoices: firms that spend seriously on generative AI add headcount—especially at the entry level—after a 6-12 month learning curve.

AI is rocketing throughput while deleting the low-stakes reps that build judgment—so leaders must fund new on-ramps or watch their pipeline evaporate.

AWS’s CEO just handed CHROs cover: cutting juniors doesn’t save you—it quietly breaks the learning loop your AI depends on.

Shiller argues the AI jobs scare is writing a downturn before the code does—because expectations are already freezing hiring and spending.

Hiring is still green, but AI has sawed off the first rung—one in three employers now automate entry-level work, forcing schools and companies to rebuild the on-ramp.

Big Tech rivals, blue-chip employers, and governors just backed a $500M experiment to swap pink slips for redeployment, wage insurance, and fast credentials—measured in public and run from statehouses.