Abstract: Credit risk is one of the main risks of listed companies. As an emerging industry, artificial intelligence industry has attracted much attention from investors and society, and its credit risk is emphasized by the company management. This paper takes the listed companies in artificial intelligence industry as the research object, employs KMV model to conduct quantitative analysis, calculates the point of default and the distance of default, and further works out the probability of default, which can be used as the estimated value to evaluate the credit risk status of listed companies. Then, taking the SME board, GEM and selected companies as examples, the paper analyzes the current situation and existing problems of credit risk in artificial intelligence industry through horizontal and vertical comparison, and puts forward countermeasures and suggestions.

Key words: credit risk, artificial intelligence, KMV model, default probability