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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53498

The Impact of Artificial Intelligence on Leadership Styles

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53498

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM53498

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MA

Mrs.R.K Archana1

MR

Ms.M. Ratna2

MB

Mr.Gandhamala Babu3

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Abstract

Artificial Intelligence (AI) is reshaping organizations, decision-making processes, and managerial roles. This paper synthesizes recent literature and builds a conceptual framework describing how AI adoption transforms leadership styles—particularly transformational, transactional, servant, distributed, and ethical leadership. It argues that AI augments leaders’ capabilities (data-driven decision-making, predictive insights) while introducing new demands (AI governance, ethical accountability, human–AI teaming competencies). Drawing on recent industry reports and peer-reviewed studies, the paper proposes a mixed-method empirical design to test how AI maturity moderates the relationship between leadership style and organizational outcomes (innovation, employee engagement, ethical compliance). Practical recommendations for leaders and HR are provided, along with research avenues and limitations. Key implications include the need for leaders to develop AI literacy, ethical stewardship, and new sociotechnical competencies to remain effective in AI-pervasive workplaces. (McKinsey & Company)

KEYWORDS

artificial intelligence leadership styles transformational leadership ethical leadership AI governance organizational change AI literacy

Cite This Article

Mrs.R.K Archana1, Ms.M. Ratna2, Mr.Gandhamala Babu3, "The Impact of Artificial Intelligence on Leadership Styles," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025. https://doi.org/10.55041/IJSREM53498

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6/10/2025

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Double-Blind Peer Review

Review Rounds: 2

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