Abstract: The prevalence of obesity is continuously increasing worldwide, making it a major global health issue that impacts public health and places a growing burden on healthcare systems. Bariatric metabolic surgery, currently the most effective treatment for weight loss and improving obesity‑related metabolic diseases, still has significant limitations in patient selection, personalized surgical planning, and accurate prediction of postoperative complications and weight loss outcomes. With the rapid advancement of artificial intelligence (AI) technology, the diagnostic and therapeutic paradigm of bariatric and metabolic surgery is expected to undergo revolutionary improvement. The authors explore the latest applications of AI in bariatric and metabolic surgery, including surgical training, preoperative diagnosis and formulation of treatment strategy, intra-operative assistance, as well as prediction of related risks and weight loss effects after surgery. It aims to provide valuable insights for clinical practice, facilitating the evolution of bariatric and metabolic surgery toward greater precision, efficiency, and personalization.