Artificial Intelligence (AI) has rapidly evolved from a theoretical concept into a transformative force shaping modern organizational decision-making and leadership paradigms. In today’s dynamic business ecosystem, marked by uncertainty, globalization, and complex data environments, AI serves as a cornerstone for strategic and operational excellence. The fusion of human intuition and algorithmic intelligence enables organizations to navigate complexities, predict trends, and respond proactively to volatile market scenarios. The role of AI in decision-making is particularly crucial as enterprises transition from intuition-based leadership to data-driven strategic management. The objective of this study is to examine how AI-powered analytics, predictive modeling, and cognitive systems augment leadership capabilities and enhance organizational decision processes. This exploration delves into the convergence of AI technologies—machine learning, natural language processing, neural networks, and expert systems—and their impact on leadership efficiency, adaptability, and ethical considerations. The research further evaluates how AI enables evidence-based leadership, minimizes cognitive bias, enhances real-time decision support, and fosters innovation-driven cultures across industries