IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v241y2024ics0165176524002982.html

The gen AI gender gap

Author

Listed:
  • Aldasoro, Iñaki
  • Armantier, Olivier
  • Doerr, Sebastian
  • Gambacorta, Leonardo
  • Oliviero, Tommaso

Abstract

Data from the Survey of Consumer Expectations shows that 50% of men use generative AI tools, compared to 37% of women. Privacy concerns and perceived opportunities and risks explain a quarter of the gender gap. Respondents’ self-assessed knowledge emerges as the most important factor.

Suggested Citation

  • Aldasoro, Iñaki & Armantier, Olivier & Doerr, Sebastian & Gambacorta, Leonardo & Oliviero, Tommaso, 2024. "The gen AI gender gap," Economics Letters, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:ecolet:v:241:y:2024:i:c:s0165176524002982
    DOI: 10.1016/j.econlet.2024.111814
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176524002982
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2024.111814?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Jonah B. Gelbach, 2016. "When Do Covariates Matter? And Which Ones, and How Much?," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 509-543.
    3. Aldasoro, Inaki & Doerr, Sebastian & Gambacorta, Leonardo & Rees, Daniel, 2024. "The impact of artificial intelligence on output and inflation," CEPR Discussion Papers 19604, Centre for Economic Policy Research.
    4. Lythreatis, Sophie & Singh, Sanjay Kumar & El-Kassar, Abdul-Nasser, 2022. "The digital divide: A review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Doerr, Sebastian & Gambacorta, Leonardo & Guiso, Luigi & Sanchez del Villar, Marina, 2023. "Privacy regulation and fintech lending," CEPR Discussion Papers 18216, Centre for Economic Policy Research.
    6. Chen, S. & Doerr, S. & Frost, J. & Gambacorta, L. & Shin, H.S., 2023. "The fintech gender gap," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    7. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    8. Jeffrey T. Prince & Scott Wallsten, 2022. "How much is privacy worth around the world and across platforms?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 841-861, November.
    9. Mauro Cazzaniga & Ms. Florence Jaumotte & Longji Li & Mr. Giovanni Melina & Augustus J Panton & Carlo Pizzinelli & Emma J Rockall & Ms. Marina Mendes Tavares, 2024. "Gen-AI: Artificial Intelligence and the Future of Work," IMF Staff Discussion Notes 2024/001, International Monetary Fund.
    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. Raphael Auer & David Köpfer & Josef Sveda, 2024. "The rise of generative AI: modelling exposure, substitution and inequality effects on the US labour market," BIS Working Papers 1207, Bank for International Settlements.
    2. Wei, Tian & Wu, Han & Dowling, Michael & Mahdavi Ardekani, Aref, 2025. "Financial perceptions and AI infringement risks," International Review of Economics & Finance, Elsevier, vol. 101(C).
    3. Fabian Stephany & Jedrzej Duszynski, 2026. "Women Worry, Men Adopt: How Gendered Perceptions Shape the Use of Generative AI," Papers 2601.03880, arXiv.org.
    4. David Loschiavo & Mirko Moscatelli, 2025. "Adoption and expected impact of Generative AI: evidence from Italian households," Questioni di Economia e Finanza (Occasional Papers) 929, Bank of Italy, Economic Research and International Relations Area.
    5. Melanie Arntz & Myriam Baum & Eduard Brüll & Ralf Dorau & Matthias Hartwig & Britta Matthes & Sophie-Charlotte Meyer & Oliver Schlenker & Anita Tisch & Sascha Wischniewski, 2025. "Low Barriers, High Stakes: Formal and Informal Diffusion of AI in the Workplace," ifo Working Paper Series 422, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Breisinger, Clemens & Karachiwalla, Naureen & Keenan, Michael & Kim, MinAh & Koo, Jawoo & Mwangi, Christine, 2024. "Man vs. machine: Experimental evidence on the quality and perceptions of AI-generated research content," IFPRI discussion papers 2321, International Food Policy Research Institute (IFPRI).
    7. Madathil, Johnson Clement, 2025. "Generative AI advertisements and Human–AI collaboration: The role of humans as gatekeepers of humanity," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).

    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. Olivier Armantier & Sebastian Doerr & Jon Frost & Andreas Fuster & Kelly Shue, 2024. "Nothing to hide? Gender and age differences in willingness to share data," Swiss Finance Institute Research Paper Series 24-99, Swiss Finance Institute.
    2. Agur, Itai & Ari, Anil & Dell’Ariccia, Giovanni, 2025. "Bank competition and household privacy in a digital payment monopoly," Journal of Financial Economics, Elsevier, vol. 166(C).
    3. Bughin, Jacques, 2025. "Corporate AI play and short term skill-biased AI change," Technology in Society, Elsevier, vol. 82(C).
    4. Yusuke Aoki & Joon Suk Park & Yuya Takada & Koji Takahashi, 2025. "Expecting Job Replacement by GenAI: Effects on Workers' Economic Outlook and Behavior," IMES Discussion Paper Series 25-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    5. Doerr, Sebastian & Frost, Jon & Gambacorta, Leonardo & Shreeti, Vatsala, 2023. "Big techs in finance," CEPR Discussion Papers 18665, Centre for Economic Policy Research.
    6. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Macroeconomic and Labor Market Drivers of AI Adoption in Europe: A Machine Learning and Panel Data Approach," Economies, MDPI, vol. 13(8), pages 1-62, August.
    7. Leonardo Gambacorta & Enisse Kharroubi & Aaron Mehrotra & Livia Pancotto, 2026. "Economic impact of AI in emerging market economies," BIS Bulletins 121, Bank for International Settlements.
    8. Chen, S. & Doerr, S. & Frost, J. & Gambacorta, L. & Shin, H.S., 2023. "The fintech gender gap," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    9. 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.
    10. Carlo Drago & Alberto Costantiello & Marco Savorgnan & Angelo Leogrande, 2025. "Driving AI Adoption in the EU: A Quantitative Analysis of Macroeconomic Influences," Working Papers hal-05102974, HAL.
    11. 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.
    12. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2025. "Big data and firm-level productivity – A cross-country comparison," Information Economics and Policy, Elsevier, vol. 71(C).
    13. Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, 2025. "Predictive AI and productivity growth dynamics: Evidence from French firms," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
    14. Aldasoro, Iñaki & Gambacorta, Leonardo & Pal, Rozalia & Revoltella, Debora & Weiss, Christoph & Wolski, Marcin, 2026. "AI adoption, productivity and employment: Evidence from European firms," EIB Working Papers 2026/02, European Investment Bank (EIB).
    15. Nickel, Christiane & Kilponen, Juha & Moral-Benito, Enrique & Koester, Gerrit & Ciccarelli, Matteo & Enders, Almira & Holton, Sarah & Landau, Bettina & Venditti, Fabrizio & Bobeica, Elena & Brand, Cla, 2025. "A strategic view on the economic and inflation environment in the euro area," Occasional Paper Series 371, European Central Bank.
    16. Gmyrek, Pawel, & Viollaz, Mariana, & Winkler, Hernan,, 2026. "Disruption without dividend? how the digital divide and task differences split GenAI’s global impact," ILO Working Papers 995694369002676, International Labour Organization.
    17. Georgios A. Tritsaris, 2025. "Occupational Tasks, Automation, and Economic Growth: A Modeling and Simulation Approach," Papers 2512.16261, arXiv.org, revised Dec 2025.
    18. Wu, Qinqin & Zhuang, Qinqin & Liu, Yitong & Han, Longyan, 2024. "Technology shock of ChatGPT, social attention and firm value: Evidence from China," Technology in Society, Elsevier, vol. 79(C).
    19. Leonardo Gambacorta & Enisse Kharroubi & Aaron Mehrotra & Tommaso Oliviero, 2025. "Artificial intelligence and growth in advanced and emerging economies: short-run impact," BIS Working Papers 1321, Bank for International Settlements.
    20. Babina, Tania & Bahaj, Saleem & Buchak, Greg & De Marco, Filippo & Foulis, Angus & Gornall, Will & Mazzola, Francesco & Yu, Tong, 2025. "Customer data access and fintech entry: Early evidence from open banking," Journal of Financial Economics, Elsevier, vol. 169(C).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    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:241:y:2024:i:c:s0165176524002982. 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.