The Impact of Artificial Intelligence on the Leader's Role: From Traditional Authority to Adaptive Leadership

The Impact of Artificial Intelligence on the Leader's Role: From Traditional Authority to Adaptive Leadership

Authors

  • Mayara Rodrigues Gomes UNIABEU - Santa Clara University Author

DOI:

https://doi.org/10.51473/rcmos.v1i1.2025.2149

Keywords:

Artificial Intelligence; Adaptive Leadership; Algorithmic Authority; Organizational Culture; Digital Governance.

Abstract

This article analyzes the metamorphosis of organizational leadership structures under the influence of Artificial Intelligence (AI). It argues that the shift from hierarchical authority to algorithm-mediated decision-making requires a new form of leadership legitimacy grounded in strategic curation, ethical judgment, and cultural intelligence. The study introduces the concept of strategic curation of algorithmic authority, in which leaders move from being primary decision-holders to mediators between algorithmic outputs and human, cultural, and organizational contexts. The research challenges the universality of transformational leadership models by proposing an integrative framework that connects adaptive leadership, algorithmic governance, and multicultural sensitivity within human-machine collaboration. 

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Author Biography

  • Mayara Rodrigues Gomes, UNIABEU - Santa Clara University

    Doutoranda em Liderança (PhD Candidate) pela Beulah Heights University - Mestra em Administração de Empresas (MBA) pela Beulah Heights University - Bacharel em Administração pela UNIABEU Centro Universitário - Certificada pela Santa Clara University em Quick Start Entrepreneurship. 

References

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Published

2025-07-16

How to Cite

GOMES, Mayara Rodrigues. The Impact of Artificial Intelligence on the Leader’s Role: From Traditional Authority to Adaptive Leadership: The Impact of Artificial Intelligence on the Leader’s Role: From Traditional Authority to Adaptive Leadership. Multidisciplinary Scientific Journal The Knowledge, Brasil, v. 1, n. 1, 2025. DOI: 10.51473/rcmos.v1i1.2025.2149. Disponível em: https://submissoesrevistarcmos.com.br/rcmos/article/view/2149. Acesso em: 2 apr. 2026.