Navigating the AI Frontier: The Transformative Impact of Intelligent Systems on Modern Management

Abstract

This dissertation deeply explores the multifaceted impact of Artificial Intelligence (AI) and intelligent agents on modern management. It begins by defining the evolution of AI, distinguishing various types of intelligent agents, and introducing emerging paradigms like
Cognitive AI and Multi-Agent Systems. The analysis elaborates on AIs transformative influence across strategic decision-making, operational
efficiency, human resource management, customer experience, and innovation. By applying theoretical lenses such as Dynamic Capabilities
Theory, the Resource-Based View, Transaction Cost Economics, Agency Theory, and Organizational Learning, the paper elucidates AIs effects on organizational structure and processes. It carefully examines challenges in AI management, including data quality, bias, explainability,
accountability, workforce transformation, over-reliance on AI, and the necessity of ethical leadership. Finally, the paper offers implications for
managers navigating human-AI collaborative ecosystems and outlines future research directions, including the potential impact of Artificial
General Intelligence (AGI) and superintelligence. The successful integration of AI, it argues, hinges on human-AI synergy, sound governance,
and a commitment to human dignity for responsible innovation.