Reporting archive
Evidence on AI and work
Reporting archive

The Supreme Court’s landmark ruling greenlights AI-driven federal layoffs, reshaping public service and raising urgent questions about governance, expertise, and accountability.

Federal workforce cuts at the VA and HHS reveal AI’s subtle yet profound role in redefining essential public sector expertise and services.

Mass layoffs of probationary health researchers at federal agencies threaten to hollow out the human expertise critical for effective AI-driven public health advancements.

New York City’s groundbreaking Local Law 144 mandates independent bias audits for AI hiring tools, setting a global precedent for AI accountability in recruitment.

AI is not just reshaping jobs but igniting a $300 million talent war, forcing a radical rethink of work and skills in 2025.

A hidden clause in a federal bill threatens to freeze state AI regulations for ten years, igniting a fierce debate over innovation, control, and worker protections.

Microsoft’s massive $80 billion AI investment forces a leaner workforce, revealing AI’s hidden cost beyond automation: the price of enabling the future.

California’s new AI hiring law mandates external bias audits, transparency reports, and candidate notifications, redefining accountability in automated employment decisions.

Vinod Khosla predicts a seismic shift in the job market, with AI set to replace 80% of roles by 2030, leaving Fortune 500 companies in jeopardy.

Upwork’s latest study reveals AI’s nuanced impact: replacing repetitive tasks but boosting skilled freelancers’ earnings by 25%, reshaping job demands rather than erasing them.