Abstract: Traditional CAD systems have shortcomings such as low efficiency, limited innovation, and long design cycles. In contrast, intelligent CAD technology has advantages such as automation, intelligence, and the ability to handle complex tasks. This article provides an overview of the related work on the integration of AI and CAD. Firstly, it introduces commonly used datasets in the CAD field. Then, it summarizes the changes that artificial intelligence has brought to the CAD design process from three aspects: CAD repre-sentation, forward engineering, and reverse engineering. Further, it explores the driving role of the rapidly developing Large Language Model in CAD design in recent years. Finally, the research status of intelligent CAD was summarized, and potential future development trends such as high-quality dataset construction, improvement of generation accuracy and processing scale, deep integration of Large Language Models (LLM), and collaborative optimization of CAD and CAE were discussed.