IDEAS home Printed from https://ideas.repec.org/a/eee/moneco/v157y2026ics0304393225001497.html

Is it AI or data that drives firm market power?

Author

Listed:
  • Mihet, Roxana
  • Rishabh, Kumar
  • Gomes, Orlando

Abstract

The technology revolution is transforming firm and industry dynamics, yet the roots of firm dominance in the modern economy remain unclear. Is industry dynamism driven by compute capabilities (AI), access to data, or the interaction between them? We develop a dynamic model in which firms gain knowledge from raw data using AI, but face “informational entropy”: without sufficient AI, more raw data leads to information overload and has negative returns. The model has two key predictions: (1) improvements in AI (compute) disproportionately benefit data-rich firms; and (2) access to processed data substitutes for compute, increasing industry dynamism and reducing market concentration. We confirm these predictions using novel data from 2000–2023 and two exogenous shocks: the 2006 launch of Amazon Web Services (AWS) and the 2017 introduction of transformer-based architectures. Our findings suggest that regulating data usability, not just AI models, is essential to preserving competition in the modern economy.

Suggested Citation

  • Mihet, Roxana & Rishabh, Kumar & Gomes, Orlando, 2026. "Is it AI or data that drives firm market power?," Journal of Monetary Economics, Elsevier, vol. 157(C).
  • Handle: RePEc:eee:moneco:v:157:y:2026:i:c:s0304393225001497
    DOI: 10.1016/j.jmoneco.2025.103878
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304393225001497
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jmoneco.2025.103878?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    Citations

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


    Cited by:

    1. Jon Frost & Kumar Rishabh & Vatsala Shreeti, 2026. "Global giants in the AI supply chain," BIS Bulletins 122, Bank for International Settlements.

    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:eee:moneco:v:157:y:2026:i:c:s0304393225001497. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505566 .

    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.