Cornell University · ILR School

John E.
McCarthy

Associate Professor · Department of Global Labor and Work
Cornell University · ILR School · Ithaca, NY

I study collaborative organizations, employee participation, and the effects of generative AI on the future of work — who captures the gains, how tasks and skills shift, and how organizations can deploy new tools in ways that empower rather than displace workers. I lead the JEM Lab for Generative AI at Work at Cornell ILR.

Email → CV ILR Profile LinkedIn Google Scholar

Teaching

Undergraduate · Cornell ILR

Generative AI and the Future of Work

Cornell ILR · Undergraduate

Materials
Labor Relations

Cornell ILR · Undergraduate

Materials
Human Resources

Cornell ILR · Undergraduate

Materials

Graduate · Cornell ILR

Advanced Statistics and Machine Learning

Cornell ILR · Graduate

Materials
Research Methods for Public Policy

Cornell ILR · Graduate

Materials
Labor Relations

Cornell ILR · Graduate

Materials

Executive Education

AI and the Future of HR

eCornell · with JR Keller

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AI-Enhanced Performance Reviews

eCornell · with JR Keller

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Engineering Better Job Descriptions

eCornell · with JR Keller

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AI-Powered Interview Excellence

eCornell · with JR Keller

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Cornell CHRO Leadership Program — AI Strategy for HR

XED Institute · Private cohort

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ILR EMHRM Residential — Generative AI at Work

Cornell ILR · CAHRS · Executive Master's cohort

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Publications

2026WP

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

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

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

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

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

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

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
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2023

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

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

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

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

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

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

Catching fire: Institutional interdependencies in union-facilitated knowledge diffusion

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

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

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

Reviews

GenAI@Work Literature 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.

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Interactive Tool

AI & HR Landscape Tool

An interactive tracker of AI-related HR technology — vendors, capabilities, and use cases, updated as the field evolves.

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Teaching

AI & HR Demos

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

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Teaching

AI & HR Case Studies

A growing collection of teaching cases on generative AI in HR and labor relations, used in ILR and eCornell coursework.

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John E.
McCarthy

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