Under the background of digital transformation in the construction industry, Building Information Modeling (BIM) and artificial intelligence (AI) have become an important technical path to promote the intelligent upgrading of the construction industry. AI-BIM integration improves design efficiency, project control quality and building full lifecycle management capability. Fragmented data and poor interoperability hinder its widespread use. This paper conducts a literature review to summarise AI-BIM applications in automated design, construction management, operation and maintenance optimisation, and cross-stage collaboration. This paper further looks into how key technologies like machine learning, computer vision and NLP can be integrated. It also sums up current challenges and future research directions. Studies show that AI can improve BIM's ability in data processing, scheme design and smart decision-making. In the future, combining AI with digital twins and large language models will break existing limits and support the high-quality development of intelligent construction.