IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_12579.html

AI, Output, and Employment

Author

Listed:
  • Andrew Johnston
  • Christos A. Makridis

Abstract

Does artificial intelligence (AI) increase productivity - and does it displace workers? We examine aggregate effects using administrative data covering essentially all U.S. employers in a difference-in-differences design exploiting occupational AI exposure across industries and states. A one standard deviation increase in exposure raises output by 7%, with effects emerging in 2021 when enterprise AI tools entered the market. Employment effects follow the same timing but diverge by exposure type: where AI likely requires human collaboration, employment rises 4%; where AI can perform tasks independently, we find no significant employment effect. Results are robust to state-by-year and industry-by-year fixed effects and suggest AI has caused a decrease in the labor share of income.

Suggested Citation

  • Andrew Johnston & Christos A. Makridis, 2026. "AI, Output, and Employment," CESifo Working Paper Series 12579, CESifo.
  • Handle: RePEc:ces:ceswps:_12579
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/cesifo1_wp12579.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    2. Gallipoli, Giovanni & Makridis, Christos A., 2018. "Structural transformation and the rise of information technology," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.
    3. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    4. Kirill Borusyak & Peter Hull & Xavier Jaravel, 2025. "A Practical Guide to Shift-Share Instruments," Journal of Economic Perspectives, American Economic Association, vol. 39(1), pages 181-204, Winter.
    5. Menaka Hampole & Dimitris Papanikolaou & Lawrence D.W. Schmidt & Bryan Seegmiller, 2025. "Artificial Intelligence and the Labor Market," NBER Working Papers 33509, National Bureau of Economic Research, Inc.
    6. Charles I. Jones, 2026. "A.I. and Our Economic Future," NBER Working Papers 34779, National Bureau of Economic Research, Inc.
    7. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    8. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    9. Alexander Bick & Adam Blandin & David Deming, 2023. "The Rapid Adoption of Generative AI," On the Economy 98843, Federal Reserve Bank of St. Louis.
    10. Anders Humlum & Emilie Vestergaard, 2025. "Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI," NBER Working Papers 33777, National Bureau of Economic Research, Inc.
    11. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    12. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Makridis, Christos A. & Han, Joo Hun, 2021. "Future of work and employee empowerment and satisfaction: Evidence from a decade of technological change," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Jacob Dominski & Yong Suk Lee, 2025. "Advancing AI Capabilities and Evolving Labor Outcomes," Papers 2507.08244, arXiv.org.
    3. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    4. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
    5. Kiran Tomlinson & Sonia Jaffe & Will Wang & Scott Counts & Siddharth Suri, 2025. "Working with AI: Measuring the Applicability of Generative AI to Occupations," Papers 2507.07935, arXiv.org, revised Dec 2025.
    6. Junhui Jeff Cai & Xian Gu & Liugang Sheng & Mengjia Xia & Linda Zhao & Wu Zhu, 2025. "AI as "Co-founder": GenAI for Entrepreneurship," Papers 2512.06506, arXiv.org.
    7. Piyush Gulati & Arianna Marchetti & Phanish Puranam & Victoria Sevcenko, 2025. "Generative AI Adoption and Higher Order Skills," Papers 2503.09212, arXiv.org, revised Jun 2025.
    8. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    9. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence," IZA Discussion Papers 16740, IZA Network @ LISER.
    10. Christophe Combemale & Kate S Whitefoot & Laurence Ales & Erica R H Fuchs, 2021. "Not all technological change is equal: how the separability of tasks mediates the effect of technology change on skill demand [Patterns of industrial innovation]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1361-1387.
    11. Cho, Jaehan & DeStefano, Timothy & Kim, Hanhin & Kim, Inchul & Paik, Jin Hyun, 2023. "What's driving the diffusion of next-generation digital technologies?," Technovation, Elsevier, vol. 119(C).
    12. Oikonomou, Myrto & Pierri, Nicola & Timmer, Yannick, 2023. "IT shields: Technology adoption and economic resilience during the COVID-19 pandemic," Labour Economics, Elsevier, vol. 81(C).
    13. DeStefano, Timothy & Timmis, Jonathan, 2024. "Robots and export quality," Journal of Development Economics, Elsevier, vol. 168(C).
    14. Raphael Auer & David Köpfer & Josef Švéda & Raphael A. Auer, 2024. "The Rise of Generative AI: Modelling Exposure, Substitution, and Inequality Effects on the US Labour Market," CESifo Working Paper Series 11410, CESifo.
    15. Chen, Xiaoxiao & Yang, Jiayi & Wu, Bo, 2025. "How is artificial intelligence shaping the labor demand of firms? ——evidence from text-mining analysis of listed companies," Telecommunications Policy, Elsevier, vol. 49(10).
    16. Kambayashi, Ryo & Ohyama, Atsushi, 2025. "Work from Home, Management, and Technology," IZA Discussion Papers 17668, IZA Network @ LISER.
    17. Erdem Dogukan Yilmaz & Christian Peukert, 2024. "Who Benefits from AI? Project-Level Evidence on Labor Demand, Operations and Profitability," CESifo Working Paper Series 11321, CESifo.
    18. Ruyu Chen & Natarajan Balasubramanian & Chris Forman, 2024. "How does worker mobility affect business adoption of a new technology? The case of machine learning," Strategic Management Journal, Wiley Blackwell, vol. 45(8), pages 1510-1538, August.
    19. Tiare Rivera, 2019. "Efectos de la automatización en el empleo en Chile," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(1), pages 3-49, April.
    20. Lu Fang & Zhe Yuan & Kaifu Zhang & Dante Donati & Miklos Sarvary, 2025. "Generative AI and Firm Productivity: Field Experiments in Online Retail," Papers 2510.12049, arXiv.org, revised Feb 2026.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_12579. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.