The current research was conducted with the aim of investigating the implementation of artificial intelligence on the innovation of competitive products of industrial companies. This research is applied in terms of purpose and descriptive-survey in terms of method. The statistical population includes all managers and experts of the technology department of industrial companies in Tehran.The sampling method was random and the sample size was estimated to be approximately 140 people through Cochran's formula. In order to collect research data, a researcher-made questionnaire was used. The validity of the tool has been confirmed by professors and its reliability through Cronbach's alpha measurement. The analysis of research data has been done through descriptive statistical methods and inferential statistical methods. The findings indicate that the implementation of artificial intelligence, including planning in pattern extraction, pattern selection, pattern adjustment, and pattern compatibility has a positive and significant effect on the innovation of competitive products of industrial companies. Among the factors affecting the innovation of competitive products of these companies, pattern extraction has the most impact and pattern compatibility has the least impact.