IDEAS home Printed from https://ideas.repec.org/p/zbw/esprep/268826.html
   My bibliography  Save this paper

Economics of ChatGPT: A Labor Market View on the Occupational Impact of Artificial Intelligence

Author

Listed:
  • Zarifhonarvar, Ali

Abstract

This study examines how ChatGPT affects the labor market. I first thoroughly analyzed the prior research that has been done on the subject in order to start understanding how ChatGPT and other AI-related services are influencing the labor market. Using the supply and demand model, I then assess ChatGPT's impact. This paper examines this innovation's short- and long-term effects on the labor market, concentrating on its challenges and opportunities. Furthermore, I employ a text-mining approach to extract various tasks from the International Standard Occupation Classification to present a comprehensive list of occupations most sensitive to ChatGPT.

Suggested Citation

  • Zarifhonarvar, Ali, 2023. "Economics of ChatGPT: A Labor Market View on the Occupational Impact of Artificial Intelligence," EconStor Preprints 268826, ZBW - Leibniz Information Centre for Economics.
  • Handle: RePEc:zbw:esprep:268826
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/268826/1/Main%20Text%20%28Economics%20of%20ChatGPT%29%20SSRN.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2022. "Uneven Growth: Automation's Impact on Income and Wealth Inequality," Econometrica, Econometric Society, vol. 90(6), pages 2645-2683, November.
    2. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020. "AI and Jobs: Evidence from Online Vacancies," NBER Working Papers 28257, National Bureau of Economic Research, Inc.
    3. Jacopo Staccioli & Maria Enrica Virgillito, 2021. "Back to the past: the historical roots of labor-saving automation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 27-57, March.
    4. Ali Zarifhonarvar, 2023. "A Survey on the Impact of Covid-19 on the Labor Market," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 9(1), pages 1-10, 03-2023.
    5. Genz, Sabrina & Gregory, Terry & Janser, Markus & Lehmer, Florian & Matthes, Britta, 2021. "How Do Workers Adjust When Firms Adopt New Technologies?," IZA Discussion Papers 14626, Institute of Labor Economics (IZA).
    6. Sean Cao & Wei Jiang & Junbo L. Wang & Baozhong Yang, 2021. "From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses," NBER Working Papers 28800, National Bureau of Economic Research, Inc.
    7. David Autor, 2022. "The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty," NBER Working Papers 30074, National Bureau of Economic Research, Inc.
    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. Roman Rakowski & Petra Kowaliková, 2024. "The political and social contradictions of the human and online environment in the context of artificial intelligence applications," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    2. Samir Huseynov, 2023. "ChatGPT and the Labor Market: Unraveling the Effect of AI Discussions on Students' Earnings Expectations," Papers 2305.11900, arXiv.org, revised Aug 2023.

    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. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
    2. Jin Liu & Xingchen Xu & Yongjun Li & Yong Tan, 2023. ""Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets," Papers 2308.05201, arXiv.org.
    3. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    4. Genz, Sabrina & Schnabel, Claus, 2023. "Digitalization is not gender-neutral," Economics Letters, Elsevier, vol. 230(C).
    5. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    6. Mark Knell & Simone Vannuccini, 2022. "Tools and concepts for understanding disruptive technological change after Schumpeter," Jena Economics Research Papers 2022-005, Friedrich-Schiller-University Jena.
    7. 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.
    8. Eleni Giouli & Pisinas Yorgos & Anna-Maria Kanzola, 2021. "Human Capital and Production Structure: Evidence from Greece," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 7, January -.
    9. Daron Acemoglu & Gary W. Anderson & David N. Beede & Catherine Buffington & Eric E. Childress & Emin Dinlersoz & Lucia S. Foster & Nathan Goldschlag & John C. Haltiwanger & Zachary Kroff & Pascual Res, 2022. "Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
    10. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    11. Rude, Britta & Giesing, Yvonne, 2022. "Technological Change and Immigration - A Race for Talent or of Displaced Workers," VfS Annual Conference 2022 (Basel): Big Data in Economics 264093, Verein für Socialpolitik / German Economic Association.
    12. Ichiro Muto & Fumitaka Nakamura & Makoto Nirei, 2024. "Digitalization, Entrepreneurship, and Wealth Inequality," IMES Discussion Paper Series 24-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Kennedy, Jack, 2021. "Box C: Wage pressures: a perspective from online job advertisements," National Institute UK Economic Outlook, National Institute of Economic and Social Research, vol. 0(4), pages 17-18.
    14. Philipp Lergetporer & Katharina Wedel & Katharina Werner, 2023. "Automatability of occupations, workers’ labor-market expectations, and willingness to train," Munich Papers in Political Economy 32, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    15. Jaimovich, Nir & Saporta-Eksten, Itay & Siu, Henry & Yedid-Levi, Yaniv, 2021. "The macroeconomics of automation: Data, theory, and policy analysis," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 1-16.
    16. Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021. "May AI revolution be labour-friendly? Some micro evidence from the supply side," GLO Discussion Paper Series 823, Global Labor Organization (GLO).
    17. Mohamed Salem Ahmed Ibrahim Alhosani & Kamarul Bahari Yaakub, 2021. "Investigating the Relationship Between Total Quality Management and Primary School Academic Performance with Innovation as a Mediator Using SEM," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 7, January -.
    18. Benjamin Lerch, 2021. "From Blue to Steel-Collar Jobs: The Decline in Employment Gaps?," IdEP Economic Papers 2102, USI Università della Svizzera italiana.
    19. Itay Goldstein, 2023. "Information in Financial Markets and Its Real Effects," Review of Finance, European Finance Association, vol. 27(1), pages 1-32.
    20. Sarah Maggioli & Liliana Cunha, 2023. "A Systematic Review Discussing the Sustainability of Men and Women’s Work in Industry 4.0: Are Technologies Gender-Neutral?," Sustainability, MDPI, vol. 15(7), pages 1-17, March.

    More about this item

    Keywords

    Large Language Models; Artificial Intelligence; Automation; Labor Saving Technology; ChatGPT; Labor Market; Generative AI; Occupational Classification;
    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
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:esprep:268826. 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/zbwkide.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.