Against the backdrop of the continuous deepening of population aging in China, constructing a “tiered and classified, universally accessible” elderly care service system has become a core issue in national strategic planning. However, traditional tiered and classified approaches struggle to accommodate the increasingly diverse and differentiated needs of the elderly population.This study finds that artificial intelligence, through multidimensional dynamic assessment, can enable a transformation of elderly care service provision—from an experience-driven, static response paradigm to a data-driven, dynamic governance paradigm—by centering on intelligent matching and proactive early warning mechanisms.Accordingly, this paper proposes a core implementation pathway built on three pillars: a dynamic intelligent assessment system, a data-driven dispatching model, and a proactive prevention and control network. These measures aim to promote the transformation of the elderly care service system from “scale expansion” to “quality and efficiency enhancement.”