At the end of 2019, the COVID-19 epidemic swept across all the world. AI is doing its best to support the global anti-epidemic work. Nowadays, more and more countries choose “With Corona”, which also plays a great role in recovery management. However, in this epidemic prevention and control, AI mainly focuses on the collection and processing of public and medical information, as well as natural language processing and other applications. Therefore, this paper summarizes the application of AI in COVID-19 crisis management by reviewing literature analysis, and on this basis, puts forward the following suggestions for the problems existing in the existing technology. The AI data platform should be continuously developed and improved to improve security; and an intelligent disaster risk monitoring, early warning and prevention platform based on AI technology should be constructed; and AI technology should be flexibly used to transmit information and other suggestions to ensure the safety and effectiveness of information, respect the real feelings of the public, and suggestions for increasing people's trust. To face sudden outbreaks in the future, AI technology can be used to quickly improve crisis resilience.