Advances in Artificial Intelligence are transforming business processes and labor market dynamics.  A large research team coordinated by Christophe Combemale of Carnegie Mellon University will compile new evidence about the impact of AI on the workforce by focusing on four interrelated themes. Adoption: Researchers will analyze how AI adoption alters business processes, job roles, and skill requirements using data on job postings, occupational requirements, and firm-level technology adoption. Transition: Researchers at UCLA will use 20 years of administrative worker and firm-level data from California’s Unemployment Insurance system to study the impact of AI adoption on employment, wages, and policy interventions such as job training and unemployment insurance. Geography: Researchers will develop an “Observatory of US Job Disruption,” a national dataset and online visualization tool providing real-time, county-level unemployment risk data disaggregated by occupation and industry. Talent: By leveraging JEDx, a workforce data platform developed by the Chamber of Commerce Foundation, researchers will evaluate how employer-provided data can improve estimates of AI’s impact on labor markets, identify emerging skill shortages, and enhance workforce development strategies. The project will produce academic papers, policy reports, data tools that include the Observatory of US Job Disruption.  The research is expected to inform workforce training policies and provide empirical evidence to guide AI-related labor policy decisions.