IEEE, Senior Member, Budd Lake, NJ, USA.
International Journal of Science and Research Archive, 2025, 15(03), 1737-1747
Article DOI: 10.30574/ijsra.2025.15.3.1875
Received on 10 May 2025; revised on 21 June 2025; accepted on 24 June 2025
The advent of Artificial Intelligence (AI) has catalyzed a significant transformation in organizational leadership paradigms. Traditional leadership theories, although foundational, must evolve to address the challenges and opportunities presented by AI integration. This paper critically examines how leadership roles and competencies are reshaped by AI, emphasizing four key dimensions: ethical leadership, adaptive agility, human-AI collaboration, and data-driven decision-making. Ethical leadership underscores the imperative for fairness, transparency, and accountability amidst algorithmic decision-making. Adaptive agility highlights the necessity for leaders to foster continuous learning and organizational flexibility, exemplified by successful digital transformations. The exploration of human-AI collaboration discusses managing hybrid teams, redefining roles, and building trust between human and artificial team members. Additionally, the integration of AI into decision-making processes accentuates the importance of balancing data-driven insights with strategic vision and human judgment. This synthesis indicates a paradigm shift towards augmented leadership, wherein leaders effectively merge technological prowess with enduring human values. The paper concludes with actionable recommendations for practitioners, educators, and policymakers and identifies areas for future research, thereby guiding leaders to harness AI responsibly and innovatively for organizational and societal benefit.
AI-Driven Leadership; Ethical Artificial Intelligence; Adaptive Leadership; Human-AI Collaboration; Data-Driven Decision-Making; Digital Transformation Strategy
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Varun Pandey. Leadership in the AI Era: Navigating and shaping the future of organizational guidance. International Journal of Science and Research Archive, 2025, 15(03), 1737-1747. Article DOI: https://doi.org/10.30574/ijsra.2025.15.3.1875.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







