人工智能赋能银发经济:养老服务的创新路径与发展思考
Artificial Intelligence Empowering the Silver Economy: Innovative Pathways and Reflections on the Development of Elderly Care Services
摘要: 随着人口老龄化持续加深,银发经济快速崛起。养老服务作为应对老龄化的关键抓手,供给侧改革与模式创新迫在眉睫。传统养老模式存在资源不均、人才不足、效率偏低等问题,难以满足老年群体多元需求,也制约了银发经济高质量发展。人工智能与养老服务的深度融合,已在健康管理、生活照护、精神慰藉等场景发挥重要作用。本文分析人工智能赋能养老服务的核心应用、现实瓶颈与创新路径,以期为推动养老服务高质量发展、激活银发经济新动能提供参考。
Abstract: Population aging continues to deepen, and the silver economy is growing rapidly. As a key lever in addressing aging, elderly care services are in urgent need of supply-side reform and model innovation. Traditional elderly care models face challenges such as uneven resource distribution, talent shortages, and low efficiency, which make it difficult to meet the diverse needs of the elderly population and also constrain the high-quality development of the silver economy. The deep integration of artificial intelligence with elderly care services has played a significant role in areas such as health management, daily care, and emotional support. This paper analyzes the core applications, practical bottlenecks, and innovative pathways of AI-enabled elderly care services, aiming to provide a reference for promoting high-quality development of elderly care services and unlocking new momentum for the silver economy.
文章引用:边苗, 蔡雪庭, 王宁, 赵文睿, 王英姝. 人工智能赋能银发经济:养老服务的创新路径与发展思考[J]. 老龄化研究, 2026, 13(6): 575-580. https://doi.org/10.12677/ar.2026.136393

参考文献

[1] 国家统计局. 中华人民共和国2024年国民经济和社会发展统计公报[R/OL]. 北京: 国家统计局, 2025.
https://www.stats.gov.cn/sj/zxfb/202502/t20250228_1958817.html, 2025-02-28.
[2] World Health Organization (2025) Ageing and Health.
[3] 国务院办公厅关于发展银发经济增进老年人福祉的意见[EB/OL].
https://www.gov.cn/zhengce/zhengceku/202401/content_6926088.htm, 2024-01-15.
[4] 民政部, 全国老龄工作委员会办公室. 2023年度国家老龄事业发展公报[R/OL]. 北京: 民政部, 2024.
https://www.mca.gov.cn/n156/n2679/c1662004999980001751/content.html, 2024-10-11.
[5] Trist, E.L. and Bamforth, K.W. (1951) Some Social and Psychological Consequences of the Longwall Method of Coal-getting. Human Relations, 4, 3-38. [Google Scholar] [CrossRef
[6] Vargo, S.L. and Lusch, R.F. (2004) Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68, 1-17. [Google Scholar] [CrossRef
[7] 王雪杰, 杜文娟. 智慧养老研究文献综述[J]. 老龄化研究, 2024, 11(3): 691-702.
[8] 冯文猛. 我国智慧养老的发展现状、问题与应对策略[J]. 重庆理工大学学报(社会科学), 2024, 38(6): 1-10.
[9] 周科选, 陈智. 银发经济背景下农村老年教育的价值、困境与优化路径[J]. 教育与职业, 2025(14): 82-90.
[10] 任恒娜. 人工智能技术赋能养老产业的发展路径研究[J]. 老龄化研究, 2024(4): 1340-1344.
[11] 傅东平, 陆倩倩. 养老金融何以提振银发消费——基于中国老年社会追踪调查数据的经验分析[J]. 金融经济学研究, 2026, 41(3): 85-98.
[12] 吕宛青, 余正勇. 金融科技创新赋能银发经济发展: 内在逻辑、困境挑战与实现路径[J]. 哈尔滨商业大学学报(社会科学版), 2026(2): 68-76.