Abstract: The high-quality development of Traditional Chinese Medicine (TCM) is a significant issue faced by the development of TCM in the new era. Artificial Intelligence (AI), as one of the representatives of new productive forces, is expected to provide strong momentum for the inheritance, innovation, and development of TCM. By focusing on three major directions—intelligent TCM early warning and diagnosis, intelligent TCM treatment and rehabilitation, and intelligent TCM research and teaching—the paper reviews the existing problems and challenges in AI-empowered TCM and proposes solutions. In terms of intelligent TCM early warning and diagnosis, there are issues with the normalization and standardization of TCM theory itself, insufficient open and high-quality large-scale TCM annotation data resources, and lack of TCM theory and thinking guidance in the design of intelligent methods. In terms of intelligent TCM treatment and rehabilitation, there are issues such as the feedback and adjustment mechanism are not yet sound, the depth of multidisciplinary collaborative innovation is insufficient, and technical safety and laws and regulations are not perfect. In terms of intelligent TCM research and teaching, there are issues such as insufficient mining and interpretation of TCM implicit knowledge, and insufficient learning and simulation of TCM expert thinking. Based on the above issues, corresponding solutions are proposed to explore ideas for the research in the interdisciplinary field of "artificial intelligence + TCM" and to provide reference for the high-quality development of TCM inheritance and innovation.