在我国人口老龄化持续深化的背景下，构建“分级分类、普惠可及”的养老服务体系已成为国家战略部署的核心议题，但传统分级分类方式难以适应老年群体多元化、差异化的需求变动。本文研究结果发现，人工智能可以依据多维度动态评估，以智能匹配与主动预警为核心驱动，赋能养老服务供给从经验驱动的静态响应范式向数据驱动的动态治理范式跃迁。据此，本文提出打造以动态智能评估体系、数据驱动调度模式和主动防控网络为支柱的核心实施路径，推动养老服务体系从“规模扩张”向“质量与效能提升”转型。

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.”