IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v244y2024ics0165176524004336.html
   My bibliography  Save this article

The role of human-capital in artificial intelligence adoption

Author

Listed:
  • Brey, Björn
  • van der Marel, Erik

Abstract

We study the role of human-capital on the early adoption and diffusion of Artificial Intelligence (AI) technologies. We do this using recently released EUROSTAT data on AI-adoption across European countries and industries in 2021. We find that pre-existing differences in human-capital are a key driver of differences in AI-adoption. Our estimates suggest that one-third-to half of AI-adoption is linked to differences in available human-capital across country-industry cells. This relationship holds even when we account for country and industry specific factors. Moreover, higher clustering of university educated workers in firms appears crucial for AI-adoption. This effect is particularly strong for the following AI technologies: (i) those assisting the automation of processes and (ii) those that enable physical movements of machinery. Within firms, human-capital fosters the use of AI in processes associated with production, management and logistics. Despite documenting the automative nature of the AI technologies adopted, we find no evidence for them leading to employment declines (at least by 2021).

Suggested Citation

  • Brey, Björn & van der Marel, Erik, 2024. "The role of human-capital in artificial intelligence adoption," Economics Letters, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:ecolet:v:244:y:2024:i:c:s0165176524004336
    DOI: 10.1016/j.econlet.2024.111949
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176524004336
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2024.111949?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alexandra de Pleijt & Alessandro Nuvolari & Jacob Weisdorf, 2020. "Human Capital Formation During the First Industrial Revolution: Evidence from the use of Steam Engines," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 829-889.
    2. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    3. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    4. Antonio Ciccone & Elias Papaioannou, 2023. "Estimating Cross-Industry Cross-Country Interaction Models Using Benchmark Industry Characteristics," The Economic Journal, Royal Economic Society, vol. 133(649), pages 130-158.
    5. Francesca Borgonovi & Flavio Calvino & Chiara Criscuolo & Lea Samek & Helke Seitz & Julia Nania & Julia Nitschke & Layla O’Kane, 2023. "Emerging trends in AI skill demand across 14 OECD countries," OECD Artificial Intelligence Papers 2, OECD Publishing.
    6. Flavio Calvino & Luca Fontanelli, 2023. "A portrait of AI adopters across countries: Firm characteristics, assets’ complementarities and productivity," OECD Science, Technology and Industry Working Papers 2023/02, OECD Publishing.
    7. Xiang Hui & Oren Reshef & Luofeng Zhou, 2023. "The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market," CESifo Working Paper Series 10601, CESifo.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fontanelli, Luca & Calvino, Flavio & Criscuolo, Chiara & Nesta, Lionel & Verdolini, Elena, 2024. "The role of human capital for AI adoption: evidence from French firms," LSE Research Online Documents on Economics 126787, London School of Economics and Political Science, LSE Library.

    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 & Chiara Criscuolo & Luca Fontanelli & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," CEP Discussion Papers dp2055, Centre for Economic Performance, LSE.
    2. Bonney, Kathryn & Breaux, Cory & Buffington, Catherine & Dinlersoz, Emin & Foster, Lucia & Goldschlag, Nathan & Haltiwanger, John & Kroff, Zachary & Savage, Keith, 2024. "The impact of AI on the workforce: Tasks versus jobs?," Economics Letters, Elsevier, vol. 244(C).
    3. Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
    4. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    5. Björn Brey, 2021. "The Long-run Gains from the Early Adoption of Electricity," Working Papers ECARES 2021-23, ULB -- Universite Libre de Bruxelles.
    6. Zainab Asif & Radhika Lahiri, 2021. "Dimensions of human capital and technological diffusion," Empirical Economics, Springer, vol. 60(2), pages 941-967, February.
    7. Draca, Mirko & Nathan, Max & Nguyen-Tien, Viet & Oliveira-Cunha, Juliana & Rosso, Anna & Valero, Anna, 2024. "The New Wave? The Role of Human Capital and STEM Skills in Technology Adoption in the UK," The Warwick Economics Research Paper Series (TWERPS) 1521, University of Warwick, Department of Economics.
    8. Damien Girollet, 2024. "Digital divides among microenterprises: Evidence from sub‐Saharan Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(2), pages 1350-1380, March.
    9. Hausmann, Ricardo & Neffke, Frank M.H., 2019. "The workforce of pioneer plants," Research Policy, Elsevier, vol. 48(3), pages 628-648.
    10. Dohse, Dirk & Lim, Cheng Yee, 2016. "Macro-geographic location and internet adoption in poor countries: What is behind the persistent digital gap?," Kiel Working Papers 2067, Kiel Institute for the World Economy (IfW Kiel).
    11. Atanu Ghoshray & Issam Malki & Javier Ordóñez, 2022. "On the long-run dynamics of income and wealth inequality," Empirical Economics, Springer, vol. 62(2), pages 375-408, February.
    12. Koehler, Maximilian & Sauermann, Henry, 2024. "Algorithmic management in scientific research," Research Policy, Elsevier, vol. 53(4).
    13. Solmaria Halleck Vega & Antoine Mandel, 2017. "A network-based approach to technology transfers in the context of climate policy," Documents de travail du Centre d'Economie de la Sorbonne 17009, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    14. David de la Croix & Eric B. Schneider & Jacob Weisdorf, 2019. "Childlessness, celibacy and net fertility in pre-industrial England: the middle-class evolutionary advantage," Journal of Economic Growth, Springer, vol. 24(3), pages 223-256, September.
    15. Hanna Halaburda & Jeffrey Prince & D. Daniel Sokol & Feng Zhu, 2024. "The business revolution: Economy‐wide impacts of artificial intelligence and digital platforms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 269-275, March.
    16. Joshua D. Hall, 2019. "Measuring the Diffusion of Technologies Through International Trade," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(4), pages 445-459, November.
    17. Lijia Ma & Xingchen Xu & Yong Tan, 2024. "Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines," Papers 2402.19421, arXiv.org.
    18. Claude Diebolt & Charlotte Le Chapelain & Audrey Rose Menard, 2021. "Neither the elite, nor the mass. The rise of intermediate human capital during the French industrialization process," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 15(1), pages 167-202, January.
    19. Nelson Lind & Natalia Ramondo, 2023. "Global Innovation and Knowledge Diffusion," American Economic Review: Insights, American Economic Association, vol. 5(4), pages 494-510, December.
    20. Billington, Stephen D. & Lane, Joe, 2023. ""Clause and effect": Invention and state intervention during the French Revolutionary and Napoleonic Wars," QUCEH Working Paper Series 23-05, Queen's University Belfast, Queen's University Centre for Economic History.

    More about this item

    Keywords

    Artificial intelligence; Human-capital; Technological change;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:eee:ecolet:v:244:y:2024:i:c:s0165176524004336. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.