Artificial Intelligence and Consumer Well‐Being: A Cross‐Domain Systematic Review
Setar Lytle, Mahesh Gopinath · International Journal of Consumer Studies · 2026
ABSTRACT Artificial intelligence (AI) is increasingly embedded in everyday consumption, yet evidence on its longer‐term implications for consumer eudaimonic well‐being remains dispersed across disciplines and application contexts. This review integrates that literature to clarify the domains, theoretical explanations, and conditions through which AI shapes consumer well‐being. Following PRISMA and SPAR‐4‐SLR procedures, we reviewed research published from January 2010 to January 2026. From 6058 records, 480 studies across psychology, business, and human‐technology interaction met the inclusion criteria. The evidence is organised through psychological, social, and technological perspectives and identifies six interconnected domains: mental health, cognitive development, physical health, personal growth, autonomy and social connection. The resulting framework shows that AI‐related benefits and risks often extend across domains, with effects depending on design, use and context. The review extends consumer well‐being research through a cross‐domain account of findings reported across separate research streams and provides managers with a basis for evaluating AI design beyond efficiency and engagement outcomes.