Reporting archive
Evidence on AI and work
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White House’s four-page skills plan eyes one national HR rule
The White House just placed a four-page bet that land-grant-driven upskilling and a single federal AI rulebook can outrun disruption.
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Jensen Huang names the ratio, HR writes policy
A keynote-friendly ratio just hijacked the news—and your org chart—while the guardrails waited outside the room.
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From headcount to agent count at Nvidia’s GTC
Huang recasts AI’s impact from layoffs to throughput, where backlogs surge, agents swarm, and the bottleneck shifts to you.
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Meta weighs 16,000 layoffs to buy compute
Meta’s rumored 20% cut isn’t automation at work—it’s payroll being traded for compute and scarce AI specialists.
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Nvidia’s trillion through 2027 becomes permits, transformers, apprenticeships
Nvidia’s trillion-dollar outlook reads less like hype and more like a labor order for power, cooling, fiber—and the people to install them.
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At SXSW, the org chart beat the LLM
SXSW’s sharpest takeaway wasn’t a model drop but a mandate: bake worker agency, safety, and job quality into AI’s loss function—or watch automation quietly optimize people out.
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Calendar invites, not headlines, are rewriting headcount
Yesterday’s silence on AI and jobs was the tell: the disruption has slipped from headlines into HR portals, budgets, and Monday memos.
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Genesis sets 2026 supercomputer deadline and a hiring clock
DOE just put Genesis on the clock—hands-on AI curricula now and a blueprint supercomputer by 2026—turning a research push into a hiring pipeline.
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Atlassian installs dual CTOs, cuts 1,600 to self‑fund AI
Atlassian just cut 1,600 roles, split the CTO job in two, and redirected hundreds of millions to an AI substrate aimed at enterprise buyers.
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Warner–Rounds puts AI jobs on a 2026–2027 clock
Congress just put a countdown on AI’s labor shock, ordering sector-by-sector forecasts and draft laws on training, UI, and taxes by April 2027.