The JEM Lab for Generative AI at Work, led by John E. McCarthy at Cornell's ILR School, studies the human side of generative AI in the workplace — how new tools change tasks and skills, who captures the gains, and how organizations can deploy AI in ways that empower rather than displace workers.
A growing series of brief, current literature reviews on what we know about generative AI across labor markets, organizational adoption, labor policy, unions, and HR — easy-to-digest syntheses for researchers, practitioners, and policymakers.
An interactive tool for tracking the ever-changing landscape of AI-related HR technology — vendors, capabilities, and use cases, updated as the field moves.
Hands-on demos of generative AI tools applied to HR contexts, used in ILR coursework and the eCornell AI & the Future of HR certificate.
A growing collection of teaching cases on generative AI in HR and labor relations, used in ILR coursework and the eCornell AI & the Future of HR certificate.
John is an associate professor in the Department of Global Labor and Work at Cornell University's ILR School. His research examines collaborative organizations, employee participation, and the transformative effects of generative AI on the future of work. He joined Cornell in 2015 after a postdoctoral fellowship at MIT Sloan and visiting doctoral work at Wharton. He earned his PhD from Rutgers in 2014 and received the John T. Dunlop Outstanding Scholar Award in 2020. His work has appeared in ILR Review, Industrial Relations, British Journal of Industrial Relations, Journal of Applied Psychology, Personnel Psychology, and Harvard Education Press.
We collaborate with firms, unions, public-sector employers, and other researchers who want to study generative AI in real workplaces — carefully, and over time. We also advise PhD and Master's students at Cornell ILR. If your work overlaps with ours, we'd love to hear from you.