The Future of Management: Integrating Artificial Intelligence with Human Leadership

Authors

  • L. Turner School of Management and Information Systems University of Leeds, Leeds, United Kingdom

Keywords:

Artificial Intelligence, Human Leadership, Management Practices, AI Integration, Machine Learning

Abstract

With the rapid advancement of technology, a new paradigm in management techniques is being ushered in by the combination of human leadership and Artificial Intelligence (AI). By combining human qualities like empathy, creativity, and strategic vision with AI, "The Future of Management: Integrating Artificial Intelligence with Human Leadership" investigates how AI can improve leadership skills, expedite decision-making, and propel organisational efficiency. the possible convergence of conventional leadership traits with artificial intelligence (AI) tools like machine learning and predictive analytics; this convergence could improve processes like data-driven decision-making, teamwork, and individual employee growth. The report also discusses the problems and ethical concerns with AI integration, such as the loss of jobs, algorithmic prejudice, and the necessity of human supervision. The study demonstrates how a hybrid strategy, combining the efficiency of AI with the emotional intelligence of human leadership, may produce a balanced and efficient management model by examining case studies of organisations that have effectively integrated AI into their management practices. Based on the results, it seems that AI will be more useful to supplement human leadership with AI in the future. This will help organisations deal with the challenges of a digital-first world, boost performance, and encourage creativity.

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Published

31-12-2024

How to Cite

L. Turner. “The Future of Management: Integrating Artificial Intelligence With Human Leadership”. The Sankalpa: International Journal of Management Decisions, vol. 10, no. 2, Dec. 2024, pp. 43-48, https://www.thesankalpa.org/ijmd/article/view/44.

Issue

Section

Original Articles