The Rise of AI in Management: Should Technology Take the Lead Over Human Insight?

Authors

  • Doniyor Xudoykulov “Silk Road” International University of Tourism and Cultural Heritage, Samarkand, Uzbekistan
  • Nilufar Khalimova “Silk Road” International University of Tourism and Cultural Heritage, Samarkand, Uzbekistan

DOI:

https://doi.org/10.63208/210113-730

Keywords:

Artificial Intelligence, Human Insight, Management, Managerial Decision-Making, Human–AI Collaboration

Abstract

Artificial intelligence (AI) is increasingly transforming the world of management by enhancing data processing, automation, forecasting, and decision-making support. However, the growing adoption of AI raises questions about whether this technology should take the lead in managerial decision-making or remain a supporting tool for human managers. This study examines the role of AI in management, focusing on its benefits, limitations, ethical risks, and the importance of human-AI collaboration. The study employs a literature review, analyzing selected academic sources on AI, management, human-machine collaboration, ethical considerations, accountability, automation, and augmentation. The findings indicate that AI can enhance managerial efficiency, information processing, organizational agility, and the automation of routine tasks. Nevertheless, AI still has limitations in contextual understanding, moral judgment, responsibility, and the evaluation of complex consequences. Therefore, AI should not replace human managerial authority. Instead, organizations must integrate AI capabilities with human insights through appropriate human oversight, accountability, and ethical evaluation. Effective AI-based management ultimately depends on a balance between technological capabilities and human judgment.

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Published

2026-06-30

How to Cite

Xudoykulov, D., & Khalimova, N. . (2026). The Rise of AI in Management: Should Technology Take the Lead Over Human Insight?. Entrepreneurship and Innovation Review, 4(1), 155-166. https://doi.org/10.63208/210113-730

About this article

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Submitted: Dec 27, 2025
Final Revised: May 28, 2026
Accepted: Jun 12, 2026
Published: Jun 30, 2026
Volumes:
Vol. 4 No. 1 (2026) Pages 155-166
DOI:
10.63208/210113-730
Abstract view: 14
Download: 3

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