IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/1821.html

The Labor Market Effects of AI Automation and Augmentation

Author

Listed:
  • Oleš, Tomáš
  • Roncone, Francesco

Abstract

Does artificial intelligence automate work or augment workers' productive capabilities? Our results show that it can do both, through distinct channels that conventional exposure measures obscure. We distinguish these channels by linking U.S. patents to occupations' tasks and tools, with patent-task matches capturing automation and patent-tool matches capturing augmentation. Using the origins and diffusion of historical AI breakthroughs to predict contemporary local exposure, we find large but opposing labor-market effects. A one-standarddeviation increase in AI automation reduces occupational employment by 21 percent, with little effect on wages; AI augmentation instead raises wages by 8 percent, alongside some employment growth. We also find that a larger AI share within each channel strengthens labor displacement through automation while shifting augmentation's effects from employment growth toward wage gains. The labor-market consequences of AI therefore depend critically on the balance between automation and augmentation rather than overall exposure alone.

Suggested Citation

  • Oleš, Tomáš & Roncone, Francesco, 2026. "The Labor Market Effects of AI Automation and Augmentation," GLO Discussion Paper Series 1821, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1821
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/344028/1/GLO-DP-1821.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
    2. Ruitao Li & Chuanxian Li & Shijun Guo, 2024. "The Impact of Artificial Intelligence on Labor Market: Evidence from China," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 867-867, August.
    3. Yueling Huang, 2024. "The Labor Market Impact of Artificial Intelligence: Evidence from US Regions," IMF Working Papers 2024/199, International Monetary Fund.
    4. Christina Gathmann & Felix Grimm & Erwin Winkler, 2024. "AI, Task Changes in Jobs, and Worker Reallocation," CESifo Working Paper Series 11585, CESifo.
    5. 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.
    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. Flavio Calvino & Luca Fontanelli, 2026. "Decoding AI: an early look at how French firms use AI," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 16(1), pages 51-93, March.
    2. Jakubik, Adam & Rotunno, Lorenzo & Saini, Alisha, 2025. "Foresee the unseen: Evaluating the impact of artificial intelligence on international trade," Journal of Policy Modeling, Elsevier, vol. 47(4), pages 842-861.
    3. Liu, Yan & Wang, He & Yu, Shu, 2025. "Labor Demand in the Age of Generative AI : Early Evidence from the U.S. Job Posting Data," Policy Research Working Paper Series 11263, The World Bank.
    4. Etheridge, Ben & Bharier, David & Morais, Paulo, 2026. "AI adoption and workforce change in SMEs," ISER Working Paper Series 2026-01, Institute for Social and Economic Research.
    5. Ilse Lindenlaub & Ryungha Oh & Mar’a Alejandra Rodr’guez Vega & Laura Veldkamp, 2026. "Beyond Exposure: Predicting AI Adoption Based On Comparative Advantage," Cowles Foundation Discussion Papers 2532, Cowles Foundation for Research in Economics, Yale University.
    6. Milena Nikolova & Anthony Lepinteur & Femke Cnossen, 2025. "Just another cog in the machine? A worker‐level view of robotization and tasks," Economica, London School of Economics and Political Science, vol. 92(368), pages 1101-1148, October.
    7. Lin Li & Meng Li, 2026. "Artificial intelligence orientation and decarbonization spillovers: evidence from Chinese listed firms," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-10, December.
    8. Zara Contractor & Germ'an Reyes, 2025. "Generative AI in Higher Education: Evidence from an Elite College," Papers 2508.00717, arXiv.org, revised Apr 2026.
    9. Christos Makridis, 2025. "The Labor Market Effect of Generative Artificial Intelligence on Artists," CESifo Working Paper Series 12368, CESifo.
    10. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    11. Federico Riccio & Jacopo Staccioli & Maria Enrica Virgillito, 2025. "European regional employment and exposure to labour-saving technical change: results from a direct text similarity measure," LEM Papers Series 2025/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    12. Enrico Maria Fenoaltea & Dario Mazzilli & Aurelio Patelli & Angelica Sbardella & Andrea Tacchella & Andrea Zaccaria & Marco Trombetti & Luciano Pietronero, 2024. "Follow the money: a startup-based measure of AI exposure across occupations, industries and regions," Papers 2412.04924, arXiv.org, revised Dec 2024.
    13. Benedetta Montanaro & Annalisa Croce & Elisa Ughetto, 2024. "Venture capital investments in artificial intelligence," Journal of Evolutionary Economics, Springer, vol. 34(1), pages 1-28, January.
    14. Cameron D. Miller & Richard D. Wang, 2024. "Product digitization and differentiation strategy change: Evidence from the book publishing industry," Strategic Management Journal, Wiley Blackwell, vol. 45(7), pages 1241-1272, July.
    15. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    16. Yusuke Aoki & Joon Suk Park & Yuya Takada & Koji Takahashi, 2025. "Expecting job replacement by GenAI: effects on workers' economic outlook and behavior," BIS Working Papers 1269, Bank for International Settlements.
    17. Kaibalyapati Mishra, 2026. "The Privilege of Exposure: Caste and Generative AI in India's Graduate Labour Market," Papers 2606.13314, arXiv.org, revised Jun 2026.
    18. Milan Miric & Nan Jia & Kenneth G. Huang, 2023. "Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 491-519, February.
    19. Miaozhe Han & Hongchuan Shen & Jing Wu & Xiaoquan (Michael) Zhang, 2025. "Artificial Intelligence and Firm Resilience: Empirical Evidence from Natural Disaster Shocks," Information Systems Research, INFORMS, vol. 36(4), pages 2116-2133, December.
    20. John Gilbert & Onur A. Koska & Reza Oladi, 2026. "Tariffs, taxes and wages in the age of artificial intelligence," Economic Inquiry, Western Economic Association International, vol. 64(2), pages 395-408, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:zbw:glodps:1821. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.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.