Reporting archive
Evidence on AI and work
Reporting archive

Washington just turned AI hiring into policy—a 1,000‑role, two‑year federal tour that could reset where ambitious engineers start and what industry values.

As models devour desk work, the safest way to stay indispensable is to hold permission—get a state license and let AI handle everything around the edges.

2025’s tech cuts weren’t austerity—they rewired org charts into pipelines, thinning the middle and pouring budget into GPUs, cloud, and security.

AI’s big week wasn’t a bubble story—it was the moment we optimized away entry‑level work while policy waved it through.

Congress just started the stopwatch on AI-attributed layoffs, demanding company-by-company receipts on who was cut, how, and why by year-end.

Howard Marks’s postscript reframes AI as a credit problem: margins rise, ladders vanish, and the social floor that keeps coupons safe starts to crack.

Wall Street’s biggest banks just moved AI from demos to org charts, tying measured productivity gains to fewer backfills and leaner operations.

The youth hiring slump looks less like an AI cull and more like a classic margin-driven freeze—tariffs, policy whiplash, and CFOs stretching teams—so watch vacancies and quits, not the hype.

Jamie Dimon recasts AI’s job threat as a tempo issue—urging phased rollout, regulation as metronome, and short-run job gains instead of a panic purge.

Microsoft turned 200,000 real Copilot chats into a live map of which tasks AI already does—and how that’s quietly rewiring roles, review gates, and spans of control.