In recent years, artificial intelligence (AI) has made great achievements in big data analysis in many fields.Consequently, many researchers have attempted to combine geoscience studies with AI, which has made new progress and can promote the development of Earth science.Climate prediction is closely related to human life and disaster prevention and mitigation, thus its prediction accuracy is highly important.This study briefly summarizes the recent progresses on the application of AI to climate prediction, including data assimilation, model parameterization, partial differential equation solution, prediction models, and numerical model output improvement.The results of this study demonstrate the possibility and applicability of using AI to improve climate prediction, which can significantly reduce computational costs and time.However, there are also many challenges involved in the application of AI, such as the construction of input data sets, the applicability of AI models, and their physical interpretability.Exploring and solving these difficult problems can help geoscience that involves many multi-source data to better utilize AI and thus improve climate prediction.