Reporting archive
Evidence on AI and work
Reporting archive

AI is rocketing throughput while deleting the low-stakes reps that build judgment—so leaders must fund new on-ramps or watch their pipeline evaporate.

AWS’s CEO just handed CHROs cover: cutting juniors doesn’t save you—it quietly breaks the learning loop your AI depends on.

Shiller argues the AI jobs scare is writing a downturn before the code does—because expectations are already freezing hiring and spending.

Hiring is still green, but AI has sawed off the first rung—one in three employers now automate entry-level work, forcing schools and companies to rebuild the on-ramp.

Big Tech rivals, blue-chip employers, and governors just backed a $500M experiment to swap pink slips for redeployment, wage insurance, and fast credentials—measured in public and run from statehouses.

At Cannes, Cloudflare’s CEO turned AI from talking point to six‑to‑twelve‑month ultimatum: rewire around agents now or strand your people in a synchronized second wave.

Oracle’s 10‑K says the quiet part: internal AI is cutting 21,000 jobs as billions shift from salaries to substations and server racks.

Brookings just swapped jobs-apocalypse vibes for a four-gear playbook that lets leaders steer, buffer, and tax AI toward augmentation—starting with procurement.

Yesterday’s non-story is the tell: AI’s impact on jobs is being written in attachments, addenda, and RFPs while headlines recycle a poll.

What if AI doesn’t cut jobs—its narrative does?