Reporting archive
Evidence on AI and work
Reporting archive

AI-driven job cuts aren’t late—they’re queued behind compute, budgets, and a recession trigger.

Two-thirds of firms that credited AI for cuts are rehiring as exceptions became the average case and the “savings” leaked into refunds, churn, and compliance.

Meta just translated thousands of salaries into megawatts and specialist pay—and every boardroom is taking notes.

Musk’s upgrade from UBI to “universal high income” just leapt from tweet to budget math, as fresh AI layoff data and economist pushback force the question: if machines make the goods, does Treasury make the paychecks?

Tufts pegs 207,000 Boston jobs and $25.6B in wages on the line within five years—unless the city stops shipping content and starts commercializing trust.

The next disruption isn’t pink slips—it’s agents setting your tempo, unless we rate‑limit the micromanager in the prompt box.

The New York Fed just put a dollar sign on AI fluency—and showed who’s locked out.

Morgan Stanley argues the first wave of AI won’t cut rows from the org chart—it will rewrite the formulas inside them.

Scale AI’s chief says the ‘AI layoff’ wave is more costume change than collapse, with reliability—not GPUs—deciding what truly gets automated.

Unions just grabbed AI by its infrastructure—permits, power, and robotaxis—and are forcing the surplus to flow through paychecks, not promises.