This chapter explores the intersection of artificial intelligence (AI) and systems thinking, focusing on their combined application for complex decision-making. It begins with an overview of AI technologies such as machine learning, deep learning, and natural language processing and their role in analyzing complex systems. Systems thinking tools, including causal loop diagrams and stock-and-flow models, are discussed for their effectiveness in understanding system dynamics. The chapter further examines methodologies for integrating AI with systems thinking tools and presents case studies demonstrating their practical applications. This integration offers a comprehensive approach to addressing and managing complexity in various domains.