In recent years, the tensegrity structure, known as the "future structural system", has received widespread attention from the academic community. Among them, form-finding is a key step in the design of a tensegrity structure, which is the process of determining the equilibrium state of the structure. With the gradual application of artificial intelligence in various fields, intelligent form-finding methods for tensegrity structures have also emerged. By using artificial intelligence technology to improve traditional form-finding methods, the goal of simplifying the form-finding process is achieved. Firstly, the application of artificial intelligence in the field of architecture was introduced. Secondly, the research significance of using artificial intelligence technology to improve the form-finding method of the tensegrity structure was elaborated. Then, several commonly used traditional form-finding methods for tensegrity structures and their advantages and disadvantages were introduced. Through extensive literature research, the detailed introduction and analysis were conducted on the latest intelligent form-finding methods for tensegrity structures, especially optimization algorithms and neural network methods. Finally, the possible future research directions and corresponding development trends in this field were predicted and analyzed and summarized.