The advent of large language models (LLMs) has marked a turning point in artificial intelligence applications within healthcare. Med-PaLM 2, developed by Google, stands out as a specialized model trained on medical data that has demonstrated expert-level performance on the USMLE. This literature review explores the educational potential of Med-PaLM 2 across different learner levels—medical students, residents, and practicing physicians. It evaluates the benefits, limitations, and contextual challenges of adopting such AI tools in the Arab world, particularly in remote education and clinical skills laboratories. While Med-PaLM 2 offers new opportunities for personalized learning and simulation-based training, its integration must be guided by ethical frameworks, policy development, and regional adaptation efforts to ensure equitable and effective implementation.