Artificial Intelligence (AI) has emerged as an important technological force in modern asset and portfolio management. The growing availability of financial data, improvement in computational capabilities, and development of machine learning, deep learning, natural language processing, and reinforcement learning have created new opportunities for investment analysis and portfolio decision-making. AI-based systems can process large volumes of structured and unstructured information, identify complex relationships among financial variables, forecast market movements, evaluate investment risks, and dynamically adjust asset allocations. Recent research indicates that AI is influencing not only portfolio optimization but also market forecasting, risk assessment, robo-advisory services, investment research, compliance, and strategic decision-making. .