IDEAS home Printed from https://ideas.repec.org/a/bla/jecsur/v39y2025i5p2194-2214.html

Artificial Intelligence in Economics Research: What Have We Learned? What Do We Need to Learn?

Author

Listed:
  • Salman Bahoo
  • John W. Goodell
  • Rachid Rhattat
  • Subhan Shahid

Abstract

Motivated by the recent boom in artificial intelligence (AI) playing a significant role in the economics of individuals, firms, and government bodies, we investigate the role of AI in economics by reviewing the literature (2231 articles) during the last 34 years (1990 to November 2024). We identify five research streams: (1) AI and economic modeling, (2) AI and macroeconomics (eight sub‐streams), (3) AI and equity and debt market, (4) AI and prediction modeling (three sub‐streams), and (5) AI and economics of innovation. Further, we offer suggestions for future research (20 questions). Additionally, we outline a framework to consider changes in economics before and after AI adoption. Further, the critical AI‐based methods are identified and discussed.

Suggested Citation

  • Salman Bahoo & John W. Goodell & Rachid Rhattat & Subhan Shahid, 2025. "Artificial Intelligence in Economics Research: What Have We Learned? What Do We Need to Learn?," Journal of Economic Surveys, Wiley Blackwell, vol. 39(5), pages 2194-2214, December.
    • Handle: RePEc:bla:jecsur:v:39:y:2025:i:5:p:2194-2214
    DOI: 10.1111/joes.12694
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/joes.12694
    Download Restriction: no
    File URL: https://libkey.io/10.1111/joes.12694?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fu, Yu & Chen, Yijun & Zhang, Yulin & Wang, Menghan & Yu, Yuanchun, 2026. "Corporate productivity transformation under the innovation paradigm: The role and impact of artificial intelligence," Technology in Society, Elsevier, vol. 84(C).

    More about this item

    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:bla:jecsur:v:39:y:2025:i:5:p:2194-2214. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0950-0804 .

    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.