The adoption of artificial intelligence in U.S. workplaces could disrupt labor markets, but millions of workers in non-traditional arrangements—including gig, part-time, and self-employed workers—are …
Federal data on unemployment, wages, and job availability are fragmented, not timely, and difficult to link, and existing surveys on firm-level AI adoption are binary and inconsistent, according to a …
A new working paper by John Newman at the University of Memphis School of Law and Andres Sawicki at the Miami School of Law finds that generative AI firms are unilaterally setting legal frameworks thr…
A new study by John M. Newman of the University of Memphis and Andres Sawicki of the University of Miami, the first empirical examination at scale of generative AI terms and conditions, finds that bro…
AI exposure scores, which estimate how artificial intelligence may interact with jobs, are useful for research but cannot yet provide policymakers with a complete picture of AI's impact on the labor m…
The Washington Center for Equitable Growth launched a searchable database tracking research on artificial intelligence's impact on the U.S. labor market, updated quarterly with filters by sector, stud…
The U.S. Unemployment Insurance system, designed for temporary income support during no-fault job loss, is insufficient to address potential widespread job displacements from AI adoption. Policymakers…
A new report examines the failure of Trade Adjustment Assistance, established over 60 years ago to help workers displaced by globalization, and draws lessons for policymakers preparing for potential j…
The Washington Center for Equitable Growth hosted a webinar on the intersection of AI expansion and the clean energy transition, warning that without deliberate policy choices, the economic benefits o…
A new database from Equitable Growth synthesizes research on AI's impact on work, finding that effects are difficult to measure and will depend on the balance of benefits and harms across tasks, skill…