IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/1565.html
   My bibliography  Save this paper

New technologies and employment: the state of the art

Author

Listed:
  • Vivarelli, Marco
  • Arenas Díaz, Guillermo

Abstract

The relationship between technology and employment has long been a topic of debate. This issue is even more pertinent today as the global economy undergoes a technological revolution driven by automation and the widespread adoption of Artificial Intelligence. The primary objective of this paper is to provide insights into the relationship between innovation and employment by proposing a conceptual framework and by discussing the state of the art of the debates and analyses surrounding this topic.

Suggested Citation

  • Vivarelli, Marco & Arenas Díaz, Guillermo, 2025. "New technologies and employment: the state of the art," GLO Discussion Paper Series 1565, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1565
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/310927/1/GLO-DP-1565.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    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. Andrei Ternikov, 2023. "Skill preferences in job postings," Economics Bulletin, AccessEcon, vol. 43(4), pages 1928-1943.
    2. Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," Finance Research Letters, Elsevier, vol. 62(PB).
    3. Alexander Bick & Adam Blandin & David Deming, 2023. "The Rapid Adoption of Generative AI," On the Economy 98843, Federal Reserve Bank of St. Louis.
    4. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Ratio Working Papers 370, The Ratio Institute.
    5. Marydas, Sneha & Mathew, Nanditha & De Marzo, Giordano & Pietrobelli, Carlo, 2025. "Digital Technologies, Hiring, Training, and Firm Outcomes," MERIT Working Papers 2025-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    6. Samuel Muehlemann, 2024. "AI Adoption and Workplace Training," Economics of Education Working Paper Series 0232, University of Zurich, Department of Business Administration (IBW).
    7. 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.
    8. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    9. 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.
    10. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2024. "The political economy of complex evolving systems: the case of declining unionization and rising inequalities," LEM Papers Series 2024/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Maha Kalai & Hamdi Becha & Kamel Helali, 2024. "Effect of artificial intelligence on economic growth in European countries: a symmetric and asymmetric cointegration based on linear and non-linear ARDL approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-37, December.
    12. Lan Chen & Yufei Ji & Xichen Yao & Hengshu Zhu, 2024. "Occupation Life Cycle," Papers 2406.15373, arXiv.org.
    13. Hunt, Jennifer & Cockburn, Iain & Bessen, James, 2024. "Is distance from innovation a barrier to the adoption of artificial intelligence," LSE Research Online Documents on Economics 126840, London School of Economics and Political Science, LSE Library.
    14. Bloom, Nicholas & Davis, Steven J. & Hansen, Stephen & Lambert, Peter John & Sadun, Raffaella & Taska, Bledi, 2023. "Remote work across jobs, companies and space," LSE Research Online Documents on Economics 121302, London School of Economics and Political Science, LSE Library.
    15. Ana Abeliansky & Klaus Prettner & Ernesto Rodríguez Crespo, 2024. "Climate change and automation: the emission effects of robot adoption," Department of Economics Working Papers wuwp370, Vienna University of Economics and Business, Department of Economics.
    16. Huang, Ruting & Yao, Xin, 2023. "The role of power transmission infrastructure in income inequality: Fresh evidence from China," Energy Policy, Elsevier, vol. 177(C).
    17. Gust, Sarah & Hanushek, Eric A. & Woessmann, Ludger, 2024. "Global universal basic skills: Current deficits and implications for world development," Journal of Development Economics, Elsevier, vol. 166(C).
    18. Andreas D. Landmark & Johan E. Ravn & Hans Y. Torvatn & Lisbeth Øyum, 2024. "Digital Transformations Through the Lens of the Collaborative, Co-Generative and Domesticative," Systemic Practice and Action Research, Springer, vol. 37(5), pages 537-548, October.
    19. Wang, Heting & Wang, Huijuan & Guan, Rong, 2024. "Digitalization of industries and labor mobility in China," China Economic Review, Elsevier, vol. 87(C).
    20. Ludger Woessmann, 2024. "Skills and Earnings: A Multidimensional Perspective on Human Capital," CESifo Working Paper Series 11428, CESifo.

    More about this item

    Keywords

    Technology; employment; compensation theory; AI; robot;
    All these 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

    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:1565. 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.