Artificial intelligence (AI) has demonstrated great potential in the diagnosis and treatment of pancreatic cancer. It plays an important role in medical imaging analysis, pathological slide recognition, drug efficacy and prognosis prediction, as well as new drug development by leveraging deep learning algorithms. Despite challenges such as data acquisition and model interpretability, advancements in technology and data sharing are expected to further enhance its role in early screening, personalized treatment, and innovative drug discovery for pancreatic cancer, ultimately improving patient outcomes.