New development: I chose to let the machine choose—the rise of <i>‘</i> AIcratism <i>’</i>

This article conceptualizes ‘AIcratism’, an emerging phenomenon that occurs when public employees, despite possessing formal decision-making authority, inappropriately defer to AI, thereby transferring agency to algorithms. Whereas existing research has largely emphasized the strategic and policy dimensions of AI adoption in the public sector, this work shifts the focus to the micro-level of daily decision-making, focusing on organizational implications. Drawing on a sociomaterial perspective, it reflects on how discretion is exercised, and potentially undermined, when human actors inappropriately rely on algorithmic suggestions. The conceptualization of AIcratism in this article advances the literature by illuminating how algorithmic systems can subtly reshape discretion and accountability in public organizations. The article offers a framework for analysing quasi-automated bureaucracies and outlines avenues for future research on human–AI collaboration, appropriate reliance, and organizational design in AI-supported public service delivery.

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Publication Details

Journal
Public Money & Management
Published
2025-10-15
DOI
https://doi.org/10.1080/09540962.2025.2570740
Citations
1
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
2.11
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article

New development: I chose to let the machine choose—the rise of ‘ AIcratism ’

Davide Giacomini, Lisa Grandi
1 citations
Public Money & Management
Complex Systems and Decision Making
2.11
article

New development: I chose to let the machine choose—the rise of ‘ AIcratism ’

Davide Giacomini, Lisa Grandi
article en
1 citations

Abstract

This article conceptualizes ‘AIcratism’, an emerging phenomenon that occurs when public employees, despite possessing formal decision-making authority, inappropriately defer to AI, thereby transferring agency to algorithms. Whereas existing research has largely emphasized the strategic and policy dimensions of AI adoption in the public sector, this work shifts the focus to the micro-level of daily decision-making, focusing on organizational implications. Drawing on a sociomaterial perspective, it reflects on how discretion is exercised, and potentially undermined, when human actors inappropriately rely on algorithmic suggestions. The conceptualization of AIcratism in this article advances the literature by illuminating how algorithmic systems can subtly reshape discretion and accountability in public organizations. The article offers a framework for analysing quasi-automated bureaucracies and outlines avenues for future research on human–AI collaboration, appropriate reliance, and organizational design in AI-supported public service delivery.

Public Money & ManagementVol. 46(3)
Brescia University (US), University of Milano-Bicocca (IT), University of Brescia (IT)
Openalex Percentile: Top 10%
Complex Systems and Decision Making
2.11
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