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Organisational Leadership and Team Conflict: Hypothesizing Conflict Management Strategies under an AI Automated Leadership Setting
Conference paper

Organisational Leadership and Team Conflict: Hypothesizing Conflict Management Strategies under an AI Automated Leadership Setting

Hakeem Owolabi, Hafiz Alaka, Christian Harrison, Lukman Akanbi and Rasheed Bello
BAM 2025 Conference (Kent Business School, University of Kent, United Kingdom, 01/09/2025–05/09/2025)
04/09/2025

Abstract

This study examines the influence of artificial intelligence (AI) on leadership in organisations and spotlights the emerging notion of automated leadership. Conventionally, leadership has been noted as human-focused, and thrives on human abilities like empathy, emotional intelligence, decision-making, and interpersonal skills. However, with an unprecedented rise in computer processing power and automation, AI is revolutionising leadership roles, with artificially intelligent agents now performing strategic-level functions hitherto conducted by human-leaders. However, despite the promised potentials and benefits, concerns have surfaced regarding the impacts of AI-automated leadership on team outcomes, particularly conflict management. Therefore, using phenomenology and case study design and focusing on UK organisations in the logistics and warehouse sector-where adoption of AI-powered automated leadership systems has surged-we examine the influence of AI-automated leadership agents on conflicts within working teams. After theoretically examining traditional leadership and team conflict models vis-à-vis AI-automated leadership, the study proceeded to hypothesise and operationalise efficient conflict management approaches for this emerging paradigm.
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