A STUDY ON THE IMPACT OF AI ON THE DYNAMICS OF THE FINANCIAL MARKETS

investors, fiscal institutions, controllers. It analyzes both the practical & structural goods of AI on request dynamics, contributing to the literature & supporting the development of nonsupervisory fabrics that encourage invention while icing investor protection & request security. The findings show that AI significantly improves decision- making speed, soothsaying delicacy, & functional effectiveness.

AI plays a critical part in fraud discovery, threat identification, non-supervisory compliance, maintaining overall fiscal stability. still, the study highlights that algorithmic, high-frequency trading, while enhancing request liquidity, can increase short- term volatility during ages of request stress. It concludes that sustainable AI relinquishment requires strong governance, translucency, effective regulation to align invention with long- term fiscal stability