The application of AI in automobile styling design is mainly reflected in the following aspects:

1. Data-driven: AI can analyze a large amount of car design data to find out the laws and trends, so as to provide reference for new car design. These data can include the size, shape, color, material, etc. of the car.

2. Fast iteration: AI can generate a large number of design schemes in a short time, and designers can choose and modify according to these schemes, which greatly shortens the design cycle.

Innovative design: AI can use technologies such as deep learning and neural networks to generate novel designs that human designers cannot imagine.

4. Optimized design: AI can optimize the design scheme through simulation and calculation to make it more in line with the principles of ergonomics and aerodynamics, and improve the performance and comfort of the car.

5. Personalized design: AI can generate personalized car design according to the user's preferences and needs.

In general, the application of AI in automobile styling design can improve design efficiency, broaden design ideas, optimize design schemes, and meet individual needs.