IDEAS home Printed from https://ideas.repec.org/a/sgh/gosnar/y2025i3p1-5.html

GNPJE Special Issue on Economic Impacts of Generative AI

Author

Listed:
  • Jakub Growiec

Abstract

This Special Issue of GNPJE features three empirical studies examining the economic impacts of contemporary generative artificial intelligence (GenAI) tools, such as chatbots and copilots, from a global perspective. Gmyrek et al. [2025] quantify the potential effects of GenAI on global employment. Venturini [2025] estimates the impact of GenAI innovation on economic growth across a panel of countries. Parteka [2025] investigates automation technologies complementary to GenAI through the lens of international trade.

Suggested Citation

  • Jakub Growiec, 2025. "GNPJE Special Issue on Economic Impacts of Generative AI," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 1-5.
    • Handle: RePEc:sgh:gosnar:y:2025:i:3:p:1-5
    as

    Download full text from publisher

    File URL: https://gnpje.sgh.waw.pl/pdf-210445-129332
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Growiec, Jakub, 2022. "Automation, Partial And Full," Macroeconomic Dynamics, Cambridge University Press, vol. 26(7), pages 1731-1755, October.
    2. Growiec, Jakub & Prettner, Klaus, 2025. "The Economics of p(doom) : Scenarios of Existential Risk and Economic Growth in the Age of Transformative AI," Department of Economics Working Paper Series 378, WU Vienna University of Economics and Business.
    3. Aleksandra Parteka, 2025. "Trade Specialisation in Products Embedding Automation Technologies: Cross-Country Evidence and the Case of Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 47-67.
    4. Daron Acemoglu, 2025. "The simple macroeconomics of AI," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 13-58.
    5. Francesco Venturini, 2025. "Generative AI and Income Growth: Early Evidence on Global Data," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 31-46.
    6. Pawel Gmyrek & Janine Berg & David Bescond, 2025. "Generative AI and Jobs: An Analysis of Potential Effects on Global Employment," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 6-30.
    7. Charles I. Jones, 2024. "The AI Dilemma: Growth versus Existential Risk," American Economic Review: Insights, American Economic Association, vol. 6(4), pages 575-590, December.
    8. Francesco Filippucci & Peter Gal & Matthias Schief, 2024. "Miracle or Myth? Assessing the macroeconomic productivity gains from Artificial Intelligence," OECD Artificial Intelligence Papers 29, OECD Publishing.
    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. 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.
    2. Bloom, David E. & Prettner, Klaus & Saadaoui, Jamel & Veruete, Mario, 2025. "Artificial intelligence and the skill premium," Finance Research Letters, Elsevier, vol. 81(C).
    3. Growiec, Jakub & Prettner, Klaus, 2025. "The Economics of p(doom) : Scenarios of Existential Risk and Economic Growth in the Age of Transformative AI," Department of Economics Working Paper Series 378, WU Vienna University of Economics and Business.
    4. Yongheng Hu, 2025. "Analysis Theory of Data Economy: Dataization, Technological Progress and Dynamic General Equilibrium," Papers 2507.13274, arXiv.org, revised Jul 2025.
    5. Yongheng Hu, 2025. "Heterogeneous Agents in the Data Economy," Papers 2509.09656, arXiv.org.
    6. Charles I. Jones, 2025. "How Much Should We Spend to Reduce AI's Existential Risk?," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.
    7. Florian Mudekereza, 2025. "Robust Social Planning," Papers 2504.07401, arXiv.org, revised Jun 2025.
    8. Riccardo Zanardelli, 2025. "Navigating the safe harbor paradox in human-machine systems," Papers 2509.14057, arXiv.org, revised Jan 2026.
    9. Jakub Growiec & Klaus Prettner, 2025. "The Paradox of Doom: Acknowledging Extinction Risk Reduces the Incentive to Prevent It," Papers 2509.04855, arXiv.org.
    10. Nida Çakır Melek, 2025. "Marshall B. Reinsdorf and Louise Sheiner (editors): The Measure of Economies: Measuring Productivity in an Age of Technological Change," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 60(3), pages 175-178, July.
    11. Zhen-Er Jiang & Fu Huang & Qiang Wu, 2025. "The Impact of AI on Corporate Green Transformation: Empirical Evidence from China," Sustainability, MDPI, vol. 17(17), pages 1-20, August.
    12. Aleksandra Parteka, 2025. "Trade Specialisation in Products Embedding Automation Technologies: Cross-Country Evidence and the Case of Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 47-67.
    13. Guerrazzi, Marco, 2025. "A complete characterization of equilibrium paths in a labour-less two-sector model of optimal growth," MPRA Paper 124225, University Library of Munich, Germany.
    14. Li, Chao & Lao, Wenyu & Li, Xiang & Zhang, Yuhan, 2024. "Automated workforce, financial precarities and family consumption: The importance of demand-side policies under the background of automation applications," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1287-1308.
    15. Naudé, Wim, 2024. "What They Don't Teach You about Artificial Intelligence at Business School: Stagnation, Oil, and War," IZA Discussion Papers 17306, Institute of Labor Economics (IZA).
    16. James Bono & Alec Xu, 2024. "Randomized Controlled Trials for Security Copilot for IT Administrators," Papers 2411.01067, arXiv.org, revised Nov 2024.
    17. Jonathan J Adams & Min Fang & Zheng Liu & Yajie Wang, 2024. "The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance," Working Papers 001015, University of Florida, Department of Economics.
    18. Stefania Albanesi & António Dias da Silva & Juan F Jimeno & Ana Lamo & Alena Wabitsch, 2025. "New technologies and jobs in Europe," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 71-139.
    19. Simone Vannuccini, 2025. "Move fast and integrate things: The making of a European Industrial Policy for Artificial Intelligence," MIOIR Working Paper Series 2025-02, The Manchester Institute of Innovation Research (MIoIR), The University of Manchester.
    20. Minniti, Antonio & Prettner, Klaus & Venturini, Francesco, 2025. "AI innovation and the labor share in European regions," European Economic Review, Elsevier, vol. 177(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:sgh:gosnar:y:2025:i:3:p:1-5. 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: Grzegorz Konat (email available below). General contact details of provider: https://edirc.repec.org/data/sgwawpl.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.