Reporting archive
Evidence on AI and work
Reporting archive

MIT and Oak Ridge priced the present: an agent-based Iceberg Index shows today’s AI can already cover 11.7% of U.S. wages, and it’s mostly paperwork, not code.

Thirty-five AGs just told Congress to keep hands off state AI laws—putting HR tech on a fast track to state-by-state audits, disclosures, and human-review rights starting in 2025–26.

The UK’s job ladder is losing its first steps, and only a high‑throughput skills machine can keep millions from stalling at the bottom.

HB 1622 flips AI from a managerial rollout to a negotiated choice, forcing audits, training, and accountability onto the table before anything ships.

Amazon is converting thousands of white‑collar roles into silicon and power, redrawing its org chart around data centers instead of desks.

By quietly slipping Salesforce’s Agentforce into counsel, appeals, and the taxpayer advocate with FedRAMP High, the IRS just normalized AI as supervised staff—and gave every other agency cover to copy.

As AI reshapes the job landscape, predictions from tech leaders reveal a stark divide in the future of work, leaving many to wonder who will truly benefit.

Workers welcome AI for tasks but brace for job cuts, reshaping how companies deploy tools and how policymakers sell reskilling.

Jensen Huang’s understated verdict—roles get rewritten, not erased—just handed boards a near-term playbook to capture productivity, redeploy talent, and normalize AI-augmented baselines.

The White House just said the quiet part out loud: AI is pausing entry-level hiring while Washington floors the accelerator on compute.