Abstract: Against the backdrop of the digital-intelligent era, the traditional design mode of solid rocket motors (SRM) based on empirical design and trial iterations is evolving toward a digital-intelligent paradigm driven by data and model. First, the current research status and future development trends of digital-intelligent technologies applied in the aerospace field were analyzed. Building on these analysis results, five key future development directions for artificial intelligence for solid rocket motor (AISRM) technology were put forward, such as intelligent processes, symbolic regression, nonlinear mapping, intelligent optimization, and generative intelligence. Four major technical challenges to be addressed in the future development of these five directions were predicted, including small-sample data characteristics, strong geometric generalization, multi-parameter optimization, and accuracy bottlenecks in intelligent models. Finally, three expected outcomes of AISRM development were outlined. In the future, AISRM will lead and symbolize the advancement of SRM technology in the digital-intelligent era, significantly promoting the transformation of SRM development models, enhancing SRM design standards and efficiency, and boosting SRM technological innovation capabilities.