In the last few years, the introduction of technology and artificial intelligence in sports, in addition to the variables related to the training program and sports performance, has created a tremendous change in the promotion of sports events and reducing the challenges of refereeing mistakes and refereeing quality. Therefore, the aim of the research was The moding of artificial intelligence in professional sport events industy. This research was a path analysis research that was implemented in the form of a mixed-methods (qualitative-quantitative) approach. The statistical population of the research included all referees of the Super League of football and volleyball in the country, among whom 110 football, volleyball and basketball referees were selected by purposive sampling. The research tool was a researcher-made questionnaire, which after confirming its formal and content validity by a group of experts (10 international refree), its internal reliability was used using Cronbach's alpha method. The research tool included the variables of quality of judgment, opportunity for growth and promotion, training and learning, security of judgment and media coverage, in which the role of technology was set on having a dynamic league. became In order to analyze the data, PLS-2 software used. After ensuring the appropriate fit of the research model based on Locker and Fornell's three indices, the results of data path analysis showed that the two constructs of judging quality and teaching and learning had the greatest impact on the dimensions of judges' efficiency. Therefore, it is suggested to the presidents of the relevant federations to pay special attention in operationalizing this category and moving towards the technologies determined by the international federations.