In order to scientifically assess the dynamic impact of artificial intelligence on the psychological health of college students’ innovation and entrepreneurship, this paper selects the multidimensional data of college teachers and students’ cognition of AI technology application, psychological health status, etc., and constructs a model of the impact mechanism. Due to the complex covariance of the variables affecting mental health, a multilayer recursive ridge regression method is introduced to improve the modeling stability. The correlation between AI and the dimensions of innovation and entrepreneurship mental health is analyzed, while its specific influence on innovation and entrepreneurship atmosphere and innovation and entrepreneurship mental health is mined. The study shows that with P<0.05, there is a significant negative correlation between 5 dimensions of artificial intelligence and 10 dimensions of students' innovation and entrepreneurship mental health. In the regression analysis, AI affects innovation and entrepreneurship climate and mental health at the 0.05 level, and the explanatory rate of each dimension is greater than 0.400 and 0.500, respectively. Innovative entrepreneurial climate also indirectly improves the display mental health status at the 0.05 level.
