IDEAS home Printed from https://ideas.repec.org/a/vrs/intere/v59y2024i1p22-27n9.html
   My bibliography  Save this article

The Impact of Artificial Intelligence on Productivity and Employment – How Can We Assess It and What Can We Observe?

Author

Listed:
  • Saam Marianne

    (ZBW – Leibniz Information Centre for Economics, Hamburg; and University of Hamburg, Germany.)

Abstract

No abstract is available for this item.

Suggested Citation

  • Saam Marianne, 2024. "The Impact of Artificial Intelligence on Productivity and Employment – How Can We Assess It and What Can We Observe?," Intereconomics: Review of European Economic Policy, Sciendo, vol. 59(1), pages 22-27, February.
  • Handle: RePEc:vrs:intere:v:59:y:2024:i:1:p:22-27:n:9
    DOI: 10.2478/ie-2024-0006
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ie-2024-0006
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ie-2024-0006?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
    ---><---

    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.
    2. Jakub Growiec, 2022. "Hardware and Software," Frontiers in Economic History, in: Accelerating Economic Growth, chapter 0, pages 45-62, Springer.
    3. 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.
    4. Aghion, Philippe & Antonin, Céline & Bunel, Simon & Jaravel, Xavier, 2022. "The Effects of Automation on Labor Demand: A Survey of the Recent Literature," CEPR Discussion Papers 16868, C.E.P.R. Discussion Papers.
    5. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
    6. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2021. "Artificial intelligence and productivity: an intangible assets approach," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 435-458.
    7. Andre Jungmittag & Annarosa Pesole, 2019. "The impact of robots on labour productivity: A panel data approach covering 9 industries and 12 countries," JRC Working Papers on Labour, Education and Technology 2019-08, Joint Research Centre.
    8. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    9. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    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. Saam Marianne, 2024. "Macroeconomic Productivity Effects of Artificial Intelligence," The Economists' Voice, De Gruyter, vol. 21(2), pages 327-333.

    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. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).
    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. Antonio Minniti & Klaus Prettner & Francesco Venturini, 2024. "Unslicing the pie: AI innovation and the labor share in European regions," Department of Economics Working Papers wuwp369, Vienna University of Economics and Business, Department of Economics.
    4. Manuel Hoffmann & Sam Boysel & Frank Nagle & Sida Peng & Kevin Xu, 2024. "Generative AI and the Nature of Work," CESifo Working Paper Series 11479, CESifo.
    5. Gathmann, Christina & Kagerl, Christian & Pohlan, Laura & Roth, Duncan, 2024. "The pandemic push: Digital technologies and workforce adjustments," Labour Economics, Elsevier, vol. 89(C).
    6. Luca Grilli & Sergio Mariotti & Riccardo Marzano, 2024. "Artificial intelligence and shapeshifting capitalism," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 303-318, April.
    7. Albanesi, Stefania & Dias da Silva, Antonio & Jimeno, Juan Francisco & Lamo, Ana & Wabitsch, Alena, 2023. "New Technologies and Jobs in Europe," CEPR Discussion Papers 18220, C.E.P.R. Discussion Papers.
    8. Gabriel Demombynes & Jorg Gero Langbein & Michael Weber, 2025. "The Exposure of Workers to Artificial Intelligence in Low- and Middle-Income Countries," Policy Research Working Paper Series 11057, The World Bank.
    9. 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.
    10. Raluca-Florentina Cretu & Daniela Tutui & Viorel-Costin Banta & Elena Claudia Serban & Laura - Eugenia - Lavinia Barna & Romeo-Catalin Cretu, 2024. "Effects of Artificial Intelligence-Based Technologies Implementation s on the Skills Needed in the Automotive Industry A Bibliometric Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 801-801, August.
    11. David Marguerit, 2025. "Augmenting or Automating Labor? The Effect of AI Development on New Work, Employment, and Wages," Papers 2503.19159, arXiv.org.
    12. 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.
    13. Samuel Muehlemann, 2024. "AI Adoption and Workplace Training," Economics of Education Working Paper Series 0232, University of Zurich, Department of Business Administration (IBW).
    14. 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).
    15. 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.
    16. 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.
    17. Jiahe Liu & Yingzhu Fang & Yongxing Xia & Wenjie Zou & Ka-Leong Chan & Johnny F. I. Lam & Huangxin Chen, 2024. "Can the Digital Economy Promote Sustainable Improvement in the Quality of Employment for Chinese Residents?—Moderated Mediation Effect Test Based on Innovation Environments," Sustainability, MDPI, vol. 16(14), pages 1-20, July.
    18. Wang, Heting & Wang, Huijuan & Guan, Rong, 2024. "Digitalization of industries and labor mobility in China," China Economic Review, Elsevier, vol. 87(C).
    19. Liang, Peng & Liang, Lin & Tang, Xinhui, 2024. "The impact of digital-oriented mergers and acquisitions on enterprise labor demand," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    20. Cebreros Alfonso & Heffner-Rodríguez Aldo & Livas René & Puggioni Daniela, 2020. "Automation Technologies and Employment at Risk: The Case of Mexico," Working Papers 2020-04, Banco de México.

    More about this item

    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
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

    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:vrs:intere:v:59:y:2024:i:1:p:22-27:n:9. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.