Abstract

With the digital era, Artificial Intelligence (AI) plays an evolving role in the process of risk management-from mere support in decision-making processes to now playing an essential role in predictive analysis and risk mitigation. The paper will explain how AI, particularly machine learning and predictive analytics, can better real-time risk identification, market trend forecasting, and develop proactive risk management strategies. Through a quantitative research approach that combines surveys, case studies, and performance metrics from 2015 to 2023, the study delves into the impact of AI across various industries. Key findings indicate that models driven by AI outperform traditional methods in terms of risk prediction and strategy formulation, significantly improving organizational resilience and preparedness in the face of unforeseen disruptions. The study also touches on challenges, such as integrating AI into legacy risk management frameworks, ensuring ethical deployment, and maintaining data privacy. The paper concludes with recommendations for leveraging AI to enhance risk management practices and future research directions.