Reporting archive
Evidence on AI and work
Reporting archive

2025 didn’t deliver an AI jobs apocalypse—it quietly erased the first rungs of careers, pushing hiring toward AI‑literate talent and forcing leaders to choose between cost cuts and capability.

Two AI heavyweights quietly reset expectations: agents won’t run unattended—near-term wins are boring, supervised, and built on foundation models.

25,000 engineers (for 1,000 slots) just signaled that the next AI standards may be authored inside agencies, not vendor decks.

“AI” just got its own checkbox in the layoff ledger—about 55,000 planned cuts—and that small box rewrites hiring, training, and how companies explain work.

For $25–$30 an hour, Tesla is turning factory and sales staff into in-car AI operators to widen Robotaxi coverage and convert every ride into training data under human-in-the-loop rules.

This weekend’s “historic labor shock” warning isn’t about inevitability—it’s about whether we can slow AI’s velocity enough to keep the first rungs of white-collar careers from disappearing.

When a central banker starts talking internships, it’s because AI just wiped out the first rung of white‑collar work—and the policy bill is coming due.

UK performers just turned the on‑set scanner into labor’s leverage—and studios will feel it on day one of shooting.

The jobs most exposed to AI just posted bigger paychecks and more headcount—because when tasks get cheaper, we do more of them.

Aurora says the safest truck may be the one without a driver—and is betting Washington will let the empty seat do the math.