The impact of artificial intelligence on the financial sector

Abstract

This thesis examines the profound influence of artificial intelligence (AI) on the financial sector, analyzing its many effects on operations, risk management, and client experiences. By examining the incorporation of machine learning algorithms, natural language processing, and robotic process automation, the substantial improvements in efficiency and reductions in costs that artificial intelligence (AI) provides to financial institutions was revealed. Moreover, the study explores the consequences of artificial intelligence (AI) in improving fraud detection procedures and reducing operational risks, thereby strengthening the sector's ability to withstand challenges. Nevertheless, the study also acknowledges the risks related to data privacy, ethical considerations, and the possibility of employment displacement, emphasizing the necessity for strong regulatory frameworks. This research enhances our understanding of the potential and challenges that arise from the increasing use of AI in financial services.