According to the Science and Technology Innovation Board Daily, according to statistics from Guojin Securities, Y Combinator will participate in 270 projects in 2023, from which 88 AI-related projects will be selected, covering multiple industries such as enterprise services, software development, education, finance, entertainment, and medical care. Among them, enterprise services and software development are the two most popular tracks, accounting for about 3/4 of the number of projects. Combining technical feasibility and investment cost-effectiveness, the three main AI project landing paths are:

  1. Provide model customization and deployment services;

  2. Replace some manpower in the field of static knowledge to help enterprises reduce costs and increase efficiency;

  3. The enterprise service field is a typical static knowledge application scenario and also one of the hottest tracks for the implementation of AI applications.