Abstract: Amid the rapid development of core artificial intelligence (AI) technologies and the expanding range of application scenarios in recent years, investigating the convergence of e-sports and AI−along with analyzing the practical applications, expected outcomes and underlying mechanisms of AI across various aspects of e-sports−has become a key task. This endeavor is key to unlocking new opportunities for the development of e-sports and driving the field towards greater intelligence. The role of AI in e-sports training is primarily seen in assisting training, with three sub-functions: "acting as a training opponent", "simulating an opponent" and "providing guidance". In the competition phase, AI assists referees with three sub-functions: "detecting program vulnerabilities", "identifying cheating tools" and "voice monitoring and fake match identification". In the spectating phase, AI aids in intelligent broadcasting with two sub-functions: "event production and broadcasting" and "game progress generation and reporting". The gradual promotion and application of AI can provide a solid technological foundation for advancing the development of e-sports and its industry in China, enabling it to reach higher levels.