Artificial Intelligence and the Future of Leadership: A Systematic Review of Emerging Theoretical Perspectives
Keywords:
Artificial intelligence, future of leadership, AI-powered leadership, digital leadership, human–AI collaboration, qualitative study, TehranAbstract
This study aimed to systematically explore emerging theoretical perspectives on the future of leadership in AI-enabled organizations through the lived interpretations of experts involved in digital transformation, organizational leadership, and artificial intelligence implementation. The study adopted a qualitative research design based on semi-structured interviews with 22 experts from Tehran, including senior managers, AI project leaders, digital transformation consultants, organizational development specialists, and academic researchers. Participants were selected purposively according to their direct experience with AI-enabled organizational change, leadership development, or strategic technology adoption. Interviews continued until theoretical saturation was achieved, which occurred after the nineteenth interview and was confirmed through three additional interviews. Data were transcribed verbatim and analyzed using thematic analysis in NVivo software. Open coding, axial categorization, constant comparison, memo-writing, and peer review were used to enhance analytical rigor. The analysis generated five main categories: human–AI collaborative decision-making, algorithmic authority and leadership accountability, ethical and relational leadership in AI-mediated organizations, adaptive learning and AI literacy, and distributed leadership through hybrid intelligence systems. Participants emphasized that AI is not merely a managerial tool but a structural force that reshapes decision rights, influence patterns, accountability mechanisms, and the symbolic meaning of leadership. The findings suggest that future leadership will depend less on unilateral human judgment and more on the ability to interpret, govern, humanize, and strategically integrate algorithmic intelligence. The study concludes that AI-driven leadership should be conceptualized as a hybrid sociotechnical capability in which human leaders remain responsible for meaning-making, ethical judgment, trust formation, and strategic direction, while AI systems enhance analytical speed, pattern recognition, prediction, and operational coordination.
References
Avolio, B. J., & Gardner, W. L. (2005). Authentic leadership development: Getting to the root of positive forms of leadership. The Leadership Quarterly, 16(3), 315–338. https://doi.org/10.1016/j.leaqua.2005.03.001
Avolio, B. J., Sosik, J. J., Kahai, S. S., & Baker, B. (2014). E-leadership: Re-examining transformations in leadership source and transmission. The Leadership Quarterly, 25(1), 105–131. https://doi.org/10.1016/j.leaqua.2013.11.003
Aziz, M. F., Rajesh, J. I., Jahan, F., McMurray, A., Ahmed, N., Narendran, R., & Harrison, C. (2025). AI-powered leadership: A systematic literature review. Journal of Managerial Psychology, 40(5), 604–630. https://doi.org/10.1108/JMP-05-2024-0389
Bass, B. M. (1985). Leadership and performance beyond expectations. Free Press.
Bass, B. M., & Riggio, R. E. (2006). Transformational leadership (2nd ed.). Psychology Press.
Benbya, H., Davenport, T. H., & Pachidi, S. (2020). Artificial intelligence in organizations: Current state and future opportunities. MIS Quarterly Executive, 19(4), ix–xxi.
Bevilacqua, S., Masárová, J., Perotti, F. A., & Ferraris, A. (2025). Enhancing top managers’ leadership with artificial intelligence: Insights from a systematic literature review. Review of Managerial Science, 19, 2899–2935. https://doi.org/10.1007/s11846-025-00836-7
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1), 62–70. https://doi.org/10.1016/j.infoandorg.2018.02.005
Greenleaf, R. K. (1977). Servant leadership: A journey into the nature of legitimate power and greatness. Paulist Press.
Hossain, S., Fernando, M., & Akter, S. (2025). The influence of artificial intelligence-driven capabilities on responsible leadership: A future research agenda. Journal of Management & Organization, 31(5). https://doi.org/10.1017/jmo.2025.10010
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human–AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007
Jarrahi, M. H., Newlands, G., Lee, M. K., Wolf, C. T., Kinder, E., & Sutherland, W. (2021). Algorithmic management in a work context. Big Data & Society, 8(2), 1–14. https://doi.org/10.1177/20539517211020332
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366–410. https://doi.org/10.5465/annals.2018.0174
Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022). To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organization Science, 33(1), 126–148. https://doi.org/10.1287/orsc.2021.1549
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Shrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019). Organizational decision-making structures in the age of artificial intelligence. California Management Review, 61(4), 66–83. https://doi.org/10.1177/0008125619862257
Uhl-Bien, M., Marion, R., & McKelvey, B. (2007). Complexity leadership theory: Shifting leadership from the industrial age to the knowledge era. The Leadership Quarterly, 18(4), 298–318. https://doi.org/10.1016/j.leaqua.2007.04.002
Van Quaquebeke, N., & Gerpott, F. H. (2023). The now, new, and next of digital leadership: How artificial intelligence will take over and change leadership as we know it. Journal of Leadership & Organizational Studies, 30(3), 265–275. https://doi.org/10.1177/15480518231181731
