Reporting archive
Evidence on AI and work
Reporting archive

Jensen Huang says the real AI jobs number is written in cranes, substations, and shift schedules—not slide decks—and the next hiring boom may run on megawatts.

Bloomberg’s board says holster the robot tax and fund the landing—accelerate AI while cushioning workers with wage insurance, portable benefits, and rapid credentials.

A Denver judge iced Colorado’s audit-first AI hiring law—and added a 14‑day grace shield—while xAI and the DOJ push the fight toward transparency over mandates.

OpenAI just swapped vibes for a working pressure map of the labor market—putting the next move on management, not destiny.

CEOs have learned that saying ‘AI’ turns layoffs into discipline—and a contagious playbook is spreading from earnings calls to org charts.

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.