AI is attempting to rewrite a new chapter in the development of medicine without taking the old route of traditional new drug development, but now it has to prove it. AI technology and data have brought about fundamental changes, AI algorithms have rewritten the process of drug discovery, redefined the biological model of drug discovery, and AI has utilized the highly efficient processing of large amounts of data, such as genomics, clinical data, and literature, to construct an accurate prediction model to simulate the complex biological process and has accumulated a large number of successful cases in applications such as target discovery, drug molecular design generation, clinical trial optimization, etc. AI has solved the problem of traditional drug development by assisting new drug development to shorten time, reduce cost, and increase success. Target discovery, drug molecular design generation, clinical trial optimization and other applications have accumulated a large number of successful cases, AI from assisting new drug R & D to shorten the time, reduce costs, improve the success rate, to solve the traditional drug R & D model of inefficiency, high-cost pain pressure, to the clinical Phase 2/Phase 3 evidence-based verification, is gradually moving to the real world of the approval of the new drug stage.