Full-Scenario Smart Elderly Care: Exploring the Pathways of AI Empowering the Silver Economy
In recent years, population aging has gradually evolved from a regional phenomenon into a global structural change issue, and the social and economic impacts it has triggered are receiving increasing widespread attention. Along with this process, "silver economy" as an emerging industry form responding to the multi-level needs of the elderly population, has gradually entered the core focus of policymakers and market participants. Adaptive products and services for the elderly have been continuously expanding. At the same time, artificial intelligence technology is accelerating its penetration into fields related to the silver economy such as healthcare, care, and entertainment. The deep integration of these two fields not only gives rise to diverse intelligent elderly care solutions but also promotes the structural reshaping of the traditional elderly care industry at a deeper level. In this context, this article focuses on the intersection of artificial intelligence and the silver economy, systematically reviews its development history and current progress, and introduces typical practical cases. It then delves into the architecture logic and feasibility of the full-scenario intelligent elderly care empowerment system. Based on this, the article further identifies the main opportunities and key bottlenecks currently faced by "AI + silver economy", and attempts to propose reference suggestions for the development of full-scenario intelligent elderly care from dimensions such as technological iteration, market cultivation, and policy coordination. 近年来,人口老龄化已逐步从区域性现象演变为全球性的结构变迁议题,其所引发的社会与经济影响正受到日益广泛的关注。伴随这一进程,“银发经济”作为回应老年群体多层次需求的新兴产业形态,逐渐进入政策制定者与市场参与者的核心视野,适老化产品与服务供给持续扩容。与此同时,人工智能技术正加速向医疗、照护、文娱等银发经济相关领域渗透,两者的深度融合不仅催生了多样化的智慧养老解决方案,也在深层次上推动着传统养老产业的结构性重塑。在此背景下,本文聚焦人工智能与银发经济的交叉地带,系统梳理其发展脉络与现实进展,并引入典型实践案例,围绕全场景智慧养老赋能系统的架构逻辑与落地可行性展开深入探讨。在此基础上,本文进一步识别当前“AI+银发经济”面临的主要机遇与关键瓶颈,并尝试从技术迭代、市场培育与政策协同等维度,为全场景智慧养老的发展提出具有参考价值的建议。
Authors
- Kexin Zhang (ORCID: https://orcid.org/0000-0002-9224-9465)
- Gao Yan
- Wu Shuyao
- Tu Zixian
Institutions
- Wuhan Business University (CN)
Publication Details
- Journal
- World Journal of Economics and Business
- Published
- 2026-06-13
- DOI
- https://doi.org/10.57237/j.wjeb.2026.01.003
- Primary Topic
- Artificial Intelligence Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00