Tag Archives: AdaptiveLeadership

13. Digital Leadership: Dynamic Managerial Capability Perspective

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Part 13 of 17 of a research-based series exploring AI’s impact on leadership This post summarises the article Digital Leadership: Towards a Dynamic Managerial Capability Perspective of Artificial Intelligence-Driven Leader Capabilities by Hossain et al. (2025)

Are traditional managerial capabilities obsolete, or are they simply being amplified and redefined by AI? This research, viewing AI-driven capabilities through the Dynamic Managerial Capabilities (DMC) lens, finds that digital leaders require technical, adaptive, and transformational capabilities to succeed in AI environments. The key finding is that AI-driven capability enhances human intelligence by stimulating reasoning and enabling collaborative human-machine behavior, thereby overcoming cognitive limitations. Specifically, transformational leaders are well-positioned to operationalize these capabilities, fostering creativity, adaptability, and managing employee fears about job security.

The necessary adaptive capability demands heightened human critical thinking, particularly the sense-making capability. Leaders must critically use this sense-making capacity to process complex AI insights, retaining the human capacity for judgment while informed by data-driven rationality. The critical goal is to “grasp the near and distant future objectives of AI initiatives” and communicate these insights effectively to keep employees confident, assuring them that advanced automation will not automatically jeopardize their jobs, ensuring a strategic and responsible organizational trajectory.

The authors, Sahadat Hossain, Mario Fernando, and Shahriar Akter, suggest that AI-driven capabilities and transformational leadership attributes are compatible and increasingly essential for successful digital leadership. What specific training interventions best cultivate the critical adaptive capacity needed to translate AI-based information into strategic organizational action? Let’s share ideas.

Reference: Hossain, S., Fernando, M., & Akter, S. (2025). Digital Leadership: Towards a Dynamic Managerial Capability Perspective of Artificial Intelligence-Driven Leader Capabilities. Journal of Leadership & Organizational Studies, 32(2). https://doi.org/10.1177/15480518251319624

7. Influence of Leadership on Human–AI Collaboration

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Part 7 of 17 of a research-based series exploring AI’s impact on leadership This post summarises the article Influence of Leadership on Human–Artificial Intelligence Collaboration by Zárate-Torres et al. (2025)

In the newly emerging hybrid workforce, what defines the essential boundary between the cold logic of an algorithm and indispensable human judgment? This research proposes a conceptual model where leadership acts as an ethical and strategic mediator in the Human Intelligence (HI)–Artificial Intelligence (AI) relationship, defining a crucial hybrid space of cooperation. The core finding establishes that while AI provides algorithmic efficiency based on data processing, HI remains necessary for interpretation, experience, and contextual judgment. Leadership modulates this relationship, shifting from mere supervision toward an essential role in co-creation. The model posits that effective leadership must integrate ethical governance mechanisms and establish a balancing mechanism to algorithmic efficiency through cognitive adaptability.

The introduction of this HI-AI hybrid space fundamentally reinforces and redefines human critical thinking as the ultimate strategic and ethical function. Critical thinking is embodied in the leader’s role of translating automated decisions into comprehensible language for teams, ensuring algorithmic transparency, and contextualizing decisions ethically. The essential need for human critical thought is derived from the fact that it is the only mechanism capable of putting automated decisions “in real context through human judgment and reasoning”, thereby guaranteeing organizational resilience beyond technical capability.

The authors, R. Zárate-Torres, C. F. Rey-Sarmiento, J. C. Acosta-Prado, N. A. Gómez-Cruz, D. Y. Rodríguez Castro, and J. Camargo, suggest that leadership acts as the axis that brings together human and technological systems, creating highly flexible, efficient, and ethically overseen interaction. As your organization integrates AI, how are you explicitly training leaders to be effective translators of algorithmic logic into human-centric direction? Share your strategies.

Reference: Zárate-Torres, R., Rey-Sarmiento, C. F., Acosta-Prado, J. C., Gómez-Cruz, N. A., Rodríguez Castro, D. Y., & Camargo, J. (2025). Influence of Leadership on Human–Artificial Intelligence Collaboration. Behavioral Sciences, 15(7), 873. https://doi.org/10.3390/bs15070873