AI-DRIVEN DECISION MAKING IN MANAGEMENT

The accelerating digital transformation of global markets has positioned Artificial Intelligence (AI) as a pivotal tool in reshaping managerial decision-making. As organizations navigate increasingly complex and volatile environments, AI technologies such as machine learning, predictive analytics, and cognitive computing enable managers to process vast data streams, forecast outcomes, and optimize strategic choices with unprecedented accuracy. This research explores how AI-driven systems enhance decision quality, speed, and adaptability across strategic, tactical, and operational levels of management. Drawing on the theories of bounded rationality, dynamic capabilities, and the resource-based view (RBV), the study develops an integrated conceptual framework linking AI capabilities to decision-making effectiveness and organizational performance. Furthermore, it examines critical challenges such as algorithmic transparency, ethical responsibility, and the balance between automation and human judgment. The findings aim to contribute to both academic understanding and managerial practice by offering actionable insights into how AI can augment human intelligence and foster sustainable competitive advantage in the era of digital transformation.