AI has changed the way we do financial forecasting and risk management in a big way by making predictions more accurate and helping us make better decisions. Its capacity to scrutinize extensive information, reveal complex patterns, and produce real-time forecasts has transformed conventional forecasting techniques (Yousaf, 2024; Rao, 2025). Machine learning (ML) and deep learning (DL), in particular, have made financial projections more accurate, lowered financial risks, and given decision-makers better tools for strategic planning (Smith & Zhang, 2023). This paper examines the utilization of AI in domains such as stock market forecasting and credit risk management, contrasting AI-driven methodologies with traditional techniques to elucidate their benefits and drawbacks. The article also talks about problems with data quality and model interpretability, and it stresses how AI could change the future of the financial sector. Keywords: AI, financial forecasting, risk management, ML, and predictive accuracy.