IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v19y2025i1p3331-3346n1028.html
   My bibliography  Save this article

Artificial Intelligence, Inequality, and Economic Performance: An Empirical Investigation across Europe, USA, and China

Author

Listed:
  • Mawla Bouchra Al

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

In today’s fast-changing digital world, Artificial Intelligence (AI) is playing a key role in driving economic growth, boosting innovation, and reshaping global competitiveness. This paper analyzes the influence of Artificial Intelligence readiness on economic performance, proxied by GDP, for 36 countries: 34 European nations, the United States, and China. In this study, we explore through a regression model and correlation analysis how government preparation, technological infrastructure, data availability, and unemployment rates impact economic outcomes regarding AI deployment in 2024. The findings indicate that technological readiness has a favorable impact on GDP, however data and infrastructure present obstacles that could impede economic progress. The study examines the relationship between AI and income inequality, indicating a possibility for AI to mitigate inequality, however its effect on employment is ambiguous. The results highlight the significance of strategic investments in AI and technical infrastructure to promote inclusive economic growth and enhance economic performance.

Suggested Citation

  • Mawla Bouchra Al, 2025. "Artificial Intelligence, Inequality, and Economic Performance: An Empirical Investigation across Europe, USA, and China," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 3331-3346.
    • Handle: RePEc:vrs:poicbe:v:19:y:2025:i:1:p:3331-3346:n:1028
    DOI: 10.2478/picbe-2025-0254
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2025-0254
    Download Restriction: no
    File URL: https://libkey.io/10.2478/picbe-2025-0254?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:poicbe:v:19:y:2025:i:1:p:3331-3346:n:1028. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.