The Impact of Artificial Intelligence on Investment Strategy and Portfolio Management

The given research paper is devoted to the problem of the redefining effect of the artificial intelligence (AI) application to investment strategies and portfolio management in contemporary financial markets. Through the application of superior AI methodologies, including machine learning, deep reinforcement learning, and natural language processing, investment professionals can grow on adding precision to forecasts, asset allocation, and general risk management than through the use of more traditional approaches. This paper represents the analysis of survey responses of industry experts to evaluate the level of AI adoption, its perceived advantages, and the most significant challenges, such as problems with transparency, data quality, and regulatory restrictions. The results indicate that AI has the potential to make decision-making faster, customize investment portfolios, and force the industry to change greatly and complement the importance of human control, which is needed to manage ethical and operational nuances. It is recommended that to get the most out of AI in a responsible way, it would be necessary to create transparent AI models, better data governance, and collaborative regulatory frameworks. The paper will be part of the growing intelligence of the dynamism of AI on investment management and a practical guidance to the stakeholders seeking to exploit the ability of artificial intelligence in a rapidly growing data-driven finance sector.