The Dark Side of AI-Augmented Leadership: Authoritarian Leadership as A Boundary Condition

Zeineb Essid
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Zeineb Essid: Department of Management, Higher Institute of Management of Sousse

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 14, 3042-3053

Abstract: Purpose This study aims to investigate the influence of AI-augmented leadership on employee well-being in the Middle East and North Africa (MENA). It examine the moderating effect of authoritarian leadership styles. Design/methodology/approach A quantitative study was conducted using data collected from a survey of 104 professionals in Tunisia, Egypt, and Saudi Arabia. This research applied the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique to test the proposed conceptual framework. Findings The results indicate that AI-augmented leadership significantly improves employee well-being. However, moderation analysis reveals that authoritarian leadership weakens this positive relationship. Specifically, when authoritarian leadership dominates, the stress-reducing benefits of using AI are considerably diminished. This highlights the impact of cultural leadership norms on the effectiveness of AI-based management approaches.

Date: 2025
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