Recovering durable products that have outlived their useful lives is the idea behind the Circular Economy, which attempts to maintain environmental sustainability. Recovery techniques like remanufacturing reduce the amount of resources and energy needed to produce new parts and components by enabling durable parts and centers to be returned back to their original performance and functionality. An increasing demand in metal manufacturing by additive technology is evident in recent trends in remanufacturing repair and restoration. Optimizing the core design is essential to improving the efficiency of additive manufacturing for automated restoration and repair. This book chapter offers a thorough understanding of the use of AI-based methods for modeling and design optimization that are tailored to the needs of additive manufacturing repair. Due to its influence on component life cycle and process efficiency, component design optimisation is absolutely essential. Utilizing additive manufacturing for repair and restoration, AI is still not widely applied in design optimization. The chapter ends with suggestions for additional study and a look ahead at AI-based component design optimization to speed up additive manufacturing-based repair and restoration.