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SAGE Research on Aging•September 28, 2026•Hui Zeng, Chuanyang Yu, Mingzheng Hu1School of Social Welfare, 26721Yonsei University, Seoul, Republic of Korea2Party School of Ninghai County Committee of the Communist Party of China, Ningbo, Zhejiang, China3Nuffield Department of Primary Care Health Sciences, 6396University of Oxford, Oxford, UK

AI Literacy Bridges Social Capital and Later-Life Satisfaction

A study of older adults in South Korea examined how bonding social capital (close, homogeneous ties) and bridging social capital (weaker, heterogeneous ties) relate to life satisfaction, and whether AI literacy operates as an indirect pathway between them. The analysis indicates that competence with artificial intelligence tools functions as more than a technical skill in later life — it appears to shape how social connection translates into subjective wellbeing.

Key Points

  • Bonding and bridging social capital both predict older adults' life satisfaction
  • AI literacy acts as an indirect pathway linking social ties to wellbeing
  • Digital competence in later life carries psychosocial, not merely technical, value

Longevity Analysis

Life satisfaction in later decades is a durable predictor of functional trajectory, and the mechanisms that sustain it deserve the same scrutiny given to metabolic or cardiovascular markers. Social connection and the capacity to navigate emerging technology interact rather than operate separately — weak-tie networks in particular depend on the digital channels through which they are now maintained, and exclusion from those channels narrows the emotional and cognitive input an aging nervous system receives. Building technological fluency in older populations becomes a plausible lever for protecting the relational infrastructure that buffers loneliness, regulates stress load, and supports sustained engagement with the world.

Emotional · Consciousness · Nervous System · Stress ResponseDecode · Gain · Execute
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Original published by SAGE Research on Aging, by Hui Zeng, Chuanyang Yu, Mingzheng Hu1School of Social Welfare, 26721Yonsei University, Seoul, Republic of Korea2Party School of Ninghai County Committee of the Communist Party of China, Ningbo, Zhejiang, China3Nuffield Department of Primary Care Health Sciences, 6396University of Oxford, Oxford, UK.