Artificial intelligence (AI) is increasingly being used in supply chain risk management to identify and mitigate potential risks by analyzing vast amounts of data to provide accurate insights and predictions. While AI can help businesses detect patterns and anomalies in supply chain processes, challenges include high initial investment costs, lack of trust in AI predictions, and limitations in considering external factors like political or environmental risks. AI’s features, such as automating tasks, real-time monitoring, and continuous learning, make it an effective tool for improving supply chain risk management efficiency over time. Overall, the right implementation and usage of AI can greatly enhance supply chain risk management and contribute to the success of businesses.