Technology is growing and changing rapidly. This causes the organization to face challenges that have never been faced before. The organization will survive as an innovative organization. The purpose of this research was to study the application of artificial intelligence technology to control quality in the manufacturing industry to enhance competitiveness. In order to develop a structural equation model Conduct both qualitative and quantitative research. A survey of quantitative data from the questionnaire responses of 500 industrial business enterprises that have a quality management or sustainability system in the organization, using both descriptive statistics, reference statistics, and multiple statistics.The results of the research revealed that the approaches for applying artificial intelligence technology to quality control in the manufacturing industy to enhance competitiveness. The 4 elements are prioritized as follows: 1) Organizational support (  = 4.14) 2) Learning and growth ( 4.13, S.D. = 0.46) 3) Cooperation network ( 4.13, S.D. = 0.48) 4) Intelligence centric  ( 4.12) As for the results of the hypothesis test, it was found that 2 business groups as a whole not difference was statistically significant at the level of 0.05.The results of the analysis of the developed structural equation model were found to pass the evaluation criteria is consistent with empirical data The chi-squared probability value was 0.060, the relative chi-squared value was 1.105, the concordance index was 0.942, and the root mean squared value of the error estimate was 0.014.