AI and the Party: The Three Faces of Party Organization and Artificial Intelligence

  • Sebnem Yardimci-Geyikci
  • , Patricia Correa
  • , Giulia Sandri
  • , Philipp Darius
  • , Jasmin Fitzpatrick
  • , Fabio Lupato
  • , Anne Goldmann
  • , Erdem Yörük
  • , Kristina Weissenbach

Research output: Preprint or Working paperWorking paper

Abstract

This article explores the emerging intersection of artificial intelligence (AI) and party politics by applying Katz and Mair’s “three faces” framework to analyze the role of AI in reshaping party organization. While AI is not yet uniformly transforming parties, its growing use in campaigning, policymaking, membership engagement, and internal management introduces new dynamics of centralization, personalization, and automation. The article highlights both the opportunities AI offers for efficiency and responsiveness, and the risks it poses to transparency, accountability, and democratic representation. It argues that the incorporation of AI into party life is uneven, contested, and mediated by broader political and institutional configurations, and require closer empirical and conceptual scrutiny. In doing so, the paper outlines a new research agenda for understanding how technological change intersects with party transformation in contemporary democracies.
Original languageEnglish
Number of pages16
DOIs
Publication statusPublished - 14 Jan 2026

Funding

This paper was developed within the CAIS Working Group “Rethinking Party Politics: AI and Political Parties,” funded by the Center for Advanced Internet Studies (CAIS), Bochum.

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