Digital Leadership: Towards a Dynamic Managerial Capability Perspective of Artificial Intelligence-Driven Leader Capabilities

This research tackles the tough problem of adding artificial intelligence (AI) to organizational leadership. Traditional management models often ignore how people and machines work together. Using the Dynamic Managerial Capabilities (DMC) theory as a base, the study looks at how leaders can handle AI‑driven settings. The researchers interviewed 20 industry leaders with semi‑structured questions. The goal was to find the key skills needed to manage AI tools, processes, and ethical issues. The results show that leaders who continuously match their organization’s resources to AI abilities can reduce operational risks and seize competitive chances. From these insights, the paper introduces a new AI‑driven digital leadership capability framework. For M.Tech researchers, the

study offers a clear starting point for building simulation models or evaluation matrices that measure leadership readiness in AI‑integrated companies. One limitation is that the data come only from qualitative interviews, suggesting future work should add quantitative validation and computational modeling of leadership dynamics in simulated corporate environments.

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