Abstract: Additive manufacturing, as the advanced forming technique, has significantly advanced the application of superalloys in aerospace field. However, the development of alloy composition and process control strategies tailored for additive manufacturing remains largely experience-driven, which restricts the further advancement of superalloys in additive manufacturing technology. Machine learning, as the key branch of artificial intelligence, has revolutionized the traditional trial-and-error approach to materials research, which is demonstrated the substantial potential in alloy design and performance prediction. The technical characteristic and application of additive manufacturing superalloys were outlined in this paper, the fundamental method and model classification of machine learning were introduced, and the applications of machine learning on additive manufacturing superalloys were discussed, including powder preparation, printing process control, and performance prediction. Finally, the research direction and development trend of machine learning technology on additive manufacturing superalloys were summarized and provided.