Population ageing is reshaping cities across both emerging and advanced economies, generating unprecedented pressure on housing systems that were historically designed for younger, family‑based populations. According to the United Nations, the number of people aged 65 years and above will reach approximately 1.6 billion by 2050, with a substantial majority residing in urban areas. At the same time, cities are experiencing a marked rise in single‑person households among older adults, increasing exposure to social isolation, emotional stress, and delayed healthcare intervention. This paper examines the growing need for smart and affordable housing for ageing populations, with particular attention to urban contexts in emerging and advanced economies. Using the multi‑level age‑friendly housing framework, the study integrates demographic statistics, housing affordability data, and recent advances in artificial intelligence (AI). It argues that AI agents embedded within housing environments can play an instrumental role in supporting ageing‑in‑place by monitoring health, facilitating early intervention, and addressing emotional and social challenges associated with single‑person living. This paper synthesises interdisciplinary evidence from urban studies, gerontology, housing policy, and AI research to demonstrate that AI‑enabled smart housing—when governed ethically and delivered affordably—can contribute meaningfully to developing sustainable housing futures for ageing populations. The paper concludes with targeted recommendations for policymakers and international organisations seeking to align housing systems with demographic realities.