Cornell University · ILR School · Ithaca, NY

How is generative AI
reshaping work,
organizations, and
the people inside them?

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.

Recent press & lab updates.

News archive

Selected papers & working papers.

2026 · WP

Generative AI and Job Attraction: The Moderating Roles of Unionization and PartnershipWorking Paper

McCarthy, J. E.
Working paper · Cornell ILR
PDF
2026 · WP

Negotiating Identity in the Age of AI: Evaluating Creative Labor on FiverrWorking Paper

Lin, Q., McCarthy, J. E.
Working paper · Cornell ILR
PDF
2026 · WP

Employee Voice, Generative AI, and Job Attraction: An Inter-Industry ComparisonWorking Paper

McCarthy, J. E., Lin, Q., Maffie, M.
Working paper · Cornell ILR
PDF
2026 · WP

Shared Capitalism in the Era of Generative AI: Evidence from a Large-Scale ExperimentWorking Paper

McCarthy, J. E., Maffie, M., Lin, Q.
Working paper · Cornell ILR
PDF
2023

Democracy and Reform in Public Schools: The Case for Collaborative PartnershipsBook

Rubinstein, S. A., Heckscher, C., McCarthy, J. E.
Harvard Education Press
PDF
2022

How managerial openness to voice shapes internal attraction: Evidence from United States school systems

McCarthy, J. E., Keller, J. R.
ILR Review
PDF
2021

Labor-management partnerships' effects on unionists' interaction networks: Evidence from US public schools

McCarthy, J. E.
Industrial Relations · 60(3), 277–306
PDF
2019

Network residues: The enduring impact of intra-organizational dormant ties

McCarthy, J. E., Levin, D. Z.
Journal of Applied Psychology · 104(11), 1434–1445
PDF
2019

Catching fire: Institutional interdependencies in union-facilitated knowledge diffusion

McCarthy, J. E.
British Journal of Industrial Relations · 57(1), 182–201
PDF
2016

Union-management partnerships, teacher collaboration, and student performanceCited · Janus 2018

Rubinstein, S. A., McCarthy, J. E.
ILR Review · 69(5), 1114–1132
PDF
2014

Transient solidarities: Commitment and collective action in post-industrial societies

Heckscher, C., McCarthy, J. E.
British Journal of Industrial Relations · 52(4), 627–657
PDF
2014

Recruiting global travelers: The role of global travel recruitment messages and individual differences in perceived fit, attraction, and job pursuit intentions

Phillips, J. M., Gully, S. M., McCarthy, J. E., Castellano, W. G., Kim, M.
Personnel Psychology · 67(1), 153–201
PDF
All publications & working papers

Tools, data, and teaching materials from the lab.

GenAI@Work Literature Reviews
Reviews

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.

AI & HR Technology Landscape Tool
Tool

An interactive tool for tracking the ever-changing landscape of AI-related HR technology — vendors, capabilities, and use cases, updated as the field moves.

AI & HR Demos
Teaching

Hands-on demos of generative AI tools applied to HR contexts, used in ILR coursework and the eCornell AI & the Future of HR certificate.

AI & HR Case Studies
Teaching

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.

All resources

A small Cornell lab.

JEM

John Edward McCarthy

Principal Investigator · Associate Professor · ILR School, Cornell University

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.

↳ Photos and full bios coming soon — these are the lab's current researchers.

Qixin Lin

PhD Student · Cornell ILR

Kashyap is a rising junior studying Information Science and Government, with a minor in AI. Outside the JEM Lab, he serves as Founder and President of the Cornell Political Strategy Group, Center Director of the Cornell Policy Group's Environment and Technology Center, VP of Pre-Professional Programming for pre-law fraternity Kappa Alpha Pi, and a Research Assistant at the Brooks Tech Policy Institute. Beyond Cornell, Kashyap co-founded and helped scale Encode, the world's first and largest youth nonprofit focused on AI policy, and serves as a Youth Fellow for the Rithm Project, where he researches pro-social technology designed to strengthen human connection.

Kashyap Rajesh

Undergraduate Researcher · Cornell ILR

Mihir is a sophomore studying Industrial and Labor Relations and Computer Science. He is interested in the impact of AI on regulated industries like law, insurance, and compliance. On campus he leads Cornell Data Strategy in tech consulting projects and writes for the Cornell Sun. Outside of school he works on his company Bryfd (bryfd.com) and enjoys biking and jiu-jitsu.

Mihir Steingard

Undergraduate Researcher · Cornell ILR

Leo is a first-year student in the School of Industrial and Labor Relations, with interests in the societal impact of emerging technologies like AI. On campus, he engages in research on the adoption of technology in the workplace under the Rawlings Cornell Presidential Research Scholar Program and is a data analyst for the Cornell Baseball Team.

Leo Lim

Undergraduate Researcher · Cornell ILR

Ben is a junior studying Industrial and Labor Relations with minors in Business and Law & Society. On campus, he is involved in the Kappa Alpha Pi Pre-Law Fraternity, the Cornell Undergraduate Law and Society Review, Cornell Political Strategy Group, and the Student Activities Funding Commission. His AI interests center on AI and the workplace, and AI and intellectual property and copyright law.

Ben Denker

Undergraduate Researcher · Cornell ILR
↳ Alumni & affiliates

Kyonne is a finance analyst at IBM and enterprise technology strategist at Prospect Education Collective, an organization he co-founded in 2023. Over seven years as a school turnaround leader, he led teams of teachers to accelerate student growth and close historic achievement gaps — earning New York State Recognition for Educational Equity for three consecutive years. A Cornell graduate and MBA candidate at the University of Miami, Kyonne's time serving on an equity-focused White House Initiative shaped his vision for AI as a powerful lever for achieving equity and excellence in education.

Kyonne Rowe

Advisor · IBM (Cornell '18)

Amol Deshmukh

Lab Alumni · Morgan Stanley (Cornell '26)

Working on something quietly important?

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.