Improving the overall standard of diagnosis and treatment for critically ill patients is a crucial component of the "Healthy China" strategy, directly impacting patient survival rates. This imperative underscores the need to refine our talent cultivation system in critical care medicine. It is essential to optimize pedagogical approaches, shifting the focus of education from mere "knowledge transmission" to comprehensive" competency development", ultimately enhancing the clinical competence of intensivists. Artificial intelligence offers unique advantages in this endeavor, particularly in optimizing teaching methodologies, enhancing clinical simulation training, and personalizing learning trajectories. As such, AI is poised to become a key direction for reshaping learning resources and learning strategies in critical care education.