This is the second in a three-part series exploring the impact of digital technology innovations in community health centers (CHCs). Artificial intelligence (AI) is rapidly reshaping the health care landscape, yet it is not being evenly adopted. An “AI digital divide” is emerging between well-resourced health systems and safety-net providers like CHCs that offer critical access to primary care, behavioral health, and dental services in underserved and rural communities across the country. CHCs serve one in seven people nationwide and up to one in three rural residents. They provide critical care for 54 million Americans, regardless of their ability to pay, yet often have the “least AI capacity to meet the most ambitious AI and equity expectations.” This series highlights insights and lessons learned from interviews with a diverse group of early-adopter CHCs that are using AI to meaningfully improve patient health and provider well-being in practice. This case study explores AI ambient scribing, one of the most widely adopted AI tools in CHCs, and implications for rural and frontier (i.e., less than six people per square mile) CHCs, specifically.