Existing studies on elderly care vulnerability have overlooked how ageing itself shapes such vulnerability, particularly in rural contexts. To address this research gap, this study explores the impact of ageing on rural elderly care vulnerability through vulnerability decomposition, employing the Alkire-Foster method. We draw on data from the 2013, 2018 and 2021 waves of the Chinese General Social Survey (CGSS). The findings reveal a consistent upward trend in elderly care vulnerability among rural older adults between 2013 and 2021, indicating that population ageing exerts a detrimental effect on the overall elderly care vulnerability of rural seniors. Significant group disparities are observed: the advanced-age group exhibits substantially higher vulnerability than their younger elderly counterparts. Further analysis of the drivers behind this increased vulnerability shows that from 2013 to 2018, the number of children and property holdings were the primary influencing factors. In contrast, from 2018 to 2021, heightened deprivation in social interaction and insufficient participation in insurance schemes emerged as key contributors. Additionally, participation in political, economic and religious activities was found to alleviate elderly care vulnerability – with these mitigating effects being more pronounced among men, economically disadvantaged individuals and those with lower educational attainment.

Ageing is shaped by biological and cultural narratives that influence perceptions of older adults’ wellbeing. Dominant narratives often reinforce ageist stereotypes, equating older adults with frailty and dependency. This study explores how artificial intelligence (AI) art could shape cultural narratives of ageing through a case study of Auntieverse, an AI art project featuring Singaporean auntie figures. Addressing the gap in understanding AI-generated imagery’s sociocultural impact, this study moves beyond existing discourses that focus on therapeutic benefits or technical aspects of AI to explore the shaping of perceptions of ageing. Through a tripartite qualitative design – visual analysis of 40 AI artworks, semi-structured interviews with the artist, and audience interviews with five Singaporean women (aged 20s–60s) – we critically analyse the meaning-making process of ageing by exploring AI-generated artefacts, artistic intention and audience reception. Findings reveal that while Auntieverse seeks to challenge ageist stereotypes by depicting female older adults as autonomous and vibrant, it also highlights the inherent biases embedded in AI aesthetics and the interpretive gap between artistic intent and audience perception. This study positions AI art as a medium for generating new cultural representations of ageing and advocates for a more critical and deliberate engagement with AI’s influence on cultural storytelling. Three central themes emerged for discussion: ‘Re-seeing age identity’, ‘Re-thinking the ageing body’ and ‘RepAInting successful ageing’. While acknowledging the limitations of AI-generated imagery, this study emphasizes the potential of AI art to reshape sociocultural understandings of ageing.