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New Horizons in Hierarchy Research: The Unforeseen Challenges of AI in Organizational Hierarchies
Abstract   Open access

New Horizons in Hierarchy Research: The Unforeseen Challenges of AI in Organizational Hierarchies

Nayong Quan, Hyun Jung Yoon, Shane Schweitzer, David De Cremer, Yiduo Shao, Yanran Fang, Yixuan Li, Junqi Shi, Lauren A. Rivera, Babatunde Gabriel Oladosu, …
Academy of Management Annual Meeting Proceedings, Vol.2025(1)
07/2025
DOI: 10.5465/AMPROC.2025.12234symposium
url
https://doi.org/10.5465/AMPROC.2025.12234symposiumView
Published (Version of record) Open Access

Abstract

Abstract only AI technology has advanced rapidly, evolving from an assistive tool to assuming roles traditionally held by human managers and supervisors (Leavitt, Barnes, & Shapiro, 2024; Schweitzer & De Cremer, 2024; Vats, 2024). While previous research has largely examined how beneficial AI can be in boosting performances (Doshi & Hauser, 2024; Mikalef & Gupta, 2021), individuals are also facing unforeseen challenges, such as reduced performance under AI monitoring compared to human monitoring (Schlund & Zitek, 2024) and widened skill disparities (Jia, Luo, Fang, & Liao, 2024). These unforeseen challenges serve notice that AI is not deployed in isolation at work – it interacts with the complex dynamics of organizations, where perceptions, behaviors, and relationships are deeply shaped by organizational hierarchies. Bringing together qualitative and quantitative studies that examine AI’s integration into organizations – the impact of AI becoming part of the hierarchy as supervisors and how its adoption can influence existing hierarchies – this symposium aims to advance our understanding of the interplay between AI and organizational hierarchies to illuminates new directions in this timely and critical area of research.

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