IDEAS home Printed from https://ideas.repec.org/p/crm/wpaper/26063.html

Why Artificial Intelligence is not a Salient Issue: Politicizing AI Reduces Mobilization Potential

Author

Listed:
  • Giacomo Battiston
  • Federico Boffa
  • Eugenio Levi
  • Alberto Parmigiani
  • Steven Stillman

Abstract

Technological disruptions often generates political conflict. Artificial intelligence (AI) is widely expected to transform labor markets and economic systems, yet it has not become a strongly polarizing political issue in advanced democracies. This paper investigates why, by fielding a preregistered survey experiment with 11,418 respondents in the United States, Germany and Italy. We examine factual knowledge on AI and automation, beliefs over its economic effects, demand for policy intervention and signatures of online petitions on Change.org. We document limited knowledge, widespread pessimism on their labor-market impact, substantial demand for government intervention and considerable potential for political mobilization, pointing to an unmet demand for policy responses. We then test the mobilization power of competing political narratives on the economic effects of AI and automation. Overall, across countries and institutional contexts, politicizing AI shifts policy preferences in the expected directions but reduces engagement in political mobilization. In addition, it decreases support for the extreme petitions, thereby reducing polarization. These findings suggest that emerging technologies characterized by high uncertainty and large distributive effects may not follow the historical pattern of polarization associated with past economic shocks. Our results rationalize politicians' hesitation towards increasing the salience of AI and automation.

Suggested Citation

  • Giacomo Battiston & Federico Boffa & Eugenio Levi & Alberto Parmigiani & Steven Stillman, 2026. "Why Artificial Intelligence is not a Salient Issue: Politicizing AI Reduces Mobilization Potential," RFBerlin Discussion Paper Series 26063, ROCKWOOL Foundation Berlin (RFBerlin).
  • Handle: RePEc:crm:wpaper:26063
    as

    Download full text from publisher

    File URL: https://www.rfberlin.com/wp-content/uploads/2026/03/26063.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

    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:crm:wpaper:26063. 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: Moritz Lubczyk or Matthew Nibloe (email available below). General contact details of provider: https://edirc.repec.org/data/cmucluk.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.