AI-based image recognition and machine learning or deep learning algorithms may help with preoperative planning, intraoperative navigation and real-time decision-making, giving surgeons a higher degree of accuracy when detecting tumor margins. With analyzing large datasets, including genetic markers and patient history, these technologies also enable personalized treatment strategies that optimize surgical approaches. Furthermore, AI-driven robotic platforms facilitate endoscopic submucosal dissection (ESD) and laparoscopic gastrectomy with minimal trauma and rapid recovery. Augmented reality (AR) and AI-driven diagnostics refine tumor borders and minimize recurrence rates. While these advancements enhance surgical precision, the challenges of cost, accessibility, and regulatory approval will need to be tackling to ensure widespread use. To implement robotics and AI into routine gastric cancer management procedures, collaboration is needed among academic institutions, policy makers, and technology manufacturers. It should be noted that the next-generation technologies, such as AI-driven autonomous robotic surgery and 5G-enabled telesurgery, are promising in the foreseeable global cancer care. As AI and robotics mature, it is anticipated that surgical oncology will be revolutionised, making gastric cancer surgery more potent, less invasive and more patient-centric.