Reporting archive
Evidence on AI and work
Reporting archive

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.

Oracle just converted salaries into GPUs and megawatts overnight, rewriting budgets and public risk for the AI buildout.

No pink slips—just a missing first rung, as AI erases true entry-level roles and raises the bar to “2–3 years” while candidates are told to bring their own AI.

The empty headline was the tell: the real action moved into runbooks, budgets, and org charts quietly redefining jobs.

Yesterday’s missing AI-and-jobs blockbuster is the signal: the action has slipped from press releases to reorgs, procurement clauses, and HR dashboards.

No headline won because the real decisions slipped backstage—into cost stacks, procurement math, and institutions quietly rewriting how work gets done.