IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v49y2025i8s0308596125001272.html
   My bibliography  Save this article

An old familiar song? Assessing the artificial intelligence divide among the regions of the European Union and its connections with digital divides

Author

Listed:
  • Vicente, María Rosalía
  • Álvarez-Rodríguez, Carla
  • Suárez-Álvarez, Ana

Abstract

This paper explores the use of artificial intelligence (AI) tools by firms across the regions of the European Union. Using the multivariate technique of factor analysis on a set of AI variables, we assess regional levels of AI use and identify both leading and lagging regions. Within countries territorial disparities are also measured. In addition, we explore the extent to which AI use is linked to regional levels of digitalization. Using spatial econometric models, our findings suggest that regional levels of AI use by firms are explained by past usage of digital tools in a region, i.e., by factors related to the second level of the digital divide. No significant relationship is found either for access or outcomes. Furthermore, what neighboring regions do also play a role. Results indicate the existence of complementary effects in AI use between a region and neighbors; meanwhile the relationship would be negative between a region's use of AI and neighbors' digital use.

Suggested Citation

  • Vicente, María Rosalía & Álvarez-Rodríguez, Carla & Suárez-Álvarez, Ana, 2025. "An old familiar song? Assessing the artificial intelligence divide among the regions of the European Union and its connections with digital divides," Telecommunications Policy, Elsevier, vol. 49(8).
  • Handle: RePEc:eee:telpol:v:49:y:2025:i:8:s0308596125001272
    DOI: 10.1016/j.telpol.2025.103030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596125001272
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.telpol.2025.103030?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.

    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:telpol:v:49:y:2025:i:8:s0308596125001272. 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/wps/find/journaldescription.cws_home/30471/description#description .

    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.