Should family physicians be excited or apprehensive about the potential applications of artificial intelligence (AI) and large language models (LLMs) in primary care? An article by Dr. Richard Young and colleagues in the Journal of the American Board of Family Medicine recently made the case for both. Observing that primary care is a “complex adaptive system,” the authors suggested that AI “will likely work when its tasks are limited in scope, have clean data that are mostly linear and deterministic, and fit well into existing workflows.” On the other hand, AI may struggle to incorporate contextual and relational factors, process noisy and inaccurate data, or document vague symptoms that do not indicate a single disease condition. In an editorial on chatbots and LLMs in the June 2024 issue of American Family Physician , Dr. Aaron Saguil discussed how family medicine practices are turning to LLMs to “help decrease administrative burden and combat burnout.” These tools can already c...