A Study Analysing the Impact of Artificial Intelligence on Investment Risk Aversion

This paper focuses on the impact of artificial intelligence on investment risk avoidance to carry out research. Based on IT Orange data, Tortoise Intelligence report, IDC data and Sohu Securities data, this study uses linear regression models to quantitatively analyse investment returns and AI investment amounts. The study found that there is a significant linear positive correlation between the amount of AI investment and the amount of Kingsoft Securities stock returns, and that an increase in AI investment may theoretically improve investment returns. However, the study faces challenges such as the difficulty of data acquisition, the existence of model limitations and the complexity of the market environment. In the future, researchers can promote the in-depth research and application of AI in the field of investment and enhance the efficiency of resource allocation in the financial market by improving the data sharing mechanism, innovating the model, and expanding the application scenarios.