The Impact of Artificial Intelligence on Leadership Decision-Making: Opportunities and Challenges

Artificial Intelligence (AI) has emerged as a transformative force in leadership decision-making, offering unprecedented opportunities for data-driven strategies, efficiency, and innovation. This review article explores the role of AI in leadership, its advantages, and the challenges it presents. By analyzing recent studies (2014-2025), this paper discusses AI-driven decision-making models, their effectiveness, ethical concerns, and the implications for future leadership paradigms. The findings suggest that while AI enhances decision-making by reducing bias and improving predictive analytics, challenges such as data security, ethical dilemmas, and reliance on technology must be addressed. This paper provides recommendations for integrating AI in leadership while mitigating its potential risks.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2025-03-19
DOI
https://doi.org/10.52783/cana.v32.4359
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23
Controls
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article

The Impact of Artificial Intelligence on Leadership Decision-Making: Opportunities and Challenges

Marthen Medlama
1 citations
Communications on Applied Nonlinear Analysis
Supply Chain Resilience and Risk Management
2.23
article

The Impact of Artificial Intelligence on Leadership Decision-Making: Opportunities and Challenges

Marthen Medlama
article en
1 citations

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in leadership decision-making, offering unprecedented opportunities for data-driven strategies, efficiency, and innovation. This review article explores the role of AI in leadership, its advantages, and the challenges it presents. By analyzing recent studies (2014-2025), this paper discusses AI-driven decision-making models, their effectiveness, ethical concerns, and the implications for future leadership paradigms. The findings suggest that while AI enhances decision-making by reducing bias and improving predictive analytics, challenges such as data security, ethical dilemmas, and reliance on technology must be addressed. This paper provides recommendations for integrating AI in leadership while mitigating its potential risks.

Communications on Applied Nonlinear AnalysisVol. 32(9s)
Openalex Percentile: Top 13%
Supply Chain Resilience and Risk Management
2.23
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