The industrial sector into the GCC nations has seen rapid technical evolution. Artificial intelligence (AI) has become a crucial strategic facilitator for improving the effectiveness of quality management systems, this paper systematically examines contemporary literature about "AI" applications into quality management, emphasising its role into enhancing quality tools and its influence on manufacturing processes, quality control, and mistake mitigation, the results show that "AI" speeds up the use of quality procedures, makes data more accurate, helps people make decisions based on facts, and lets people detect problems before they happen, this all leads to better operational efficiency into the industrial sector, the research also talks about the problems that come with using AI, such the high cost of getting started, problems with integrating data, making sure the workforce is ready, and making sure "AI" works with older systems. It indicates that using "AI" technology into quality management is an essential factor for attaining lasting competitive advantage into the changing industrial environment.