AI-DRIVEN DECISION MAKING AND ITS IMPACT ON MANAGERIAL ROLES

In the era of rapid technological advancement, Artificial Intelligence (AI) has emerged as a transformative force across various sectors, particularly in organizational decision-making processes. AI-driven decision making refers to the integration of machine learning algorithms, data analytics, and predictive modeling to assist or automate choices traditionally made by human managers. This paradigm shift is reshaping managerial roles, prompting a reevaluation of leadership, strategy formulation, and operational oversight. The core thesis of this research posits that while AI enhances efficiency and accuracy in decision making, it simultaneously challenges traditional managerial hierarchies by redistributing authority, necessitating new skill sets, and potentially leading to role obsolescence in certain contexts.