Reporting archive
Evidence on AI and work
Reporting archive

AI vendors have moved from pitching the future to auditing the past, turning tokens, APIs, and cloud drift into this quarter’s cash register.

Fortune’s new data shows the biggest AI risk at work isn’t model quality—it’s a quiet refusal to click, turning “adoption” into a consent fight and a mounting friction tax.

ProPublica’s one-day blackout turned readers into leverage, forcing a public test of whether AI guardrails belong in policy—or in a contract.

Older professionals are being paid by the click to make AI safer and sharper—while their own careers are recast into unstable, benefit-light piecework.

Goldman’s new estimate says AI is quietly trimming 16,000 U.S. jobs a month, mostly from the first rungs of routine white‑collar work, reshaping who gets hired and how they learn.

A single fraction just turned into a boardroom playbook: cut to capture AI gains now, pilot shorter weeks later, and let politics decide who keeps the paycheck.

AI is quietly rewiring tasks, boosting judgment-heavy bundles and organizational “glue,” while enabling credible one-person companies—so the near-term risk is thinner roles, not fewer jobs.

In March, one in four U.S. layoffs were pinned on AI—a new permission structure that’s shifting dollars from SG&A to cloud bills and turning pink slips into product roadmaps.

The office tsunami never came—instead, the waterline crept up, and MIT just measured how high “good enough” has gotten.

Americans expect AI to cut jobs in general but not their own—fueling a comfort-driven stall in upskilling that employers and policymakers are about to stumble over.