Effective application of artificial intelligence models in the field of financial risks can increase the speed of data processing, deepen the degree of data analysis and reduce labor costs, thereby improving the efficiency of financial risk control. The use of artificial intelligence in the field of financial risk management puts forward new requirements on the system setting and operation mode of financial supervision. With the rapid growth of computer and network technology, the increasing frequency of market transactions, the diversification of data sources, and the development and application of big data, this poses new challenges for big data-based financial risk management. Based on this, this paper analyzes the role of artificial intelligence in promoting the reform and growth of the financial industry. The author describes only some of the artificial intelligence methods that can be applied in economic and mathematical modeling for risk assessment and return forecasting of innovative projects. A combination of different methods may be the most effective strategy in this area.