The perceived outcomes of generative artificial intelligence in users’ everyday life

Purpose Generative artificial intelligence (GAI) has transformed how we work and communicate; however, polarised opinions on it exist. This study examined how users perceive the benefits of GAI in their everyday lives and systematically categorised these perceived outcomes. The influence of demographic factors on users' perceptions was assessed across different life domains. Design/methodology/approach Data were collected through an online survey of 886 GAI users. The analysis included exploratory factor analysis to categorise perceived benefits and non-parametric tests to identify demographic differences. Reliability was assessed using multiple coefficients. Findings The analysis identified four distinct categories of GAI benefits: education and work, everyday activities, social relations and leisure time. Education and work and everyday activities had the highest overall benefit perceptions (>80%). However, users reported experiencing these benefits “sometimes” more than “often”, particularly in professional contexts. Significant demographic variations were observed: women perceived greater benefits in education and work, younger users (under 34) reported more benefits across all domains compared to those aged 45 and above, and higher education levels correlated positively with most domains except everyday activities, for which an inverse relationship was noted. Practical implications The findings offer valuable insights for GAI developers aiming to prioritise user-centred design and for policymakers crafting inclusive regulatory frameworks that address diverse user needs. Originality/value This study provides the first systematic categorisation of the benefits of GAI use in everyday life, extending beyond traditional output-focused evaluations. It uniquely applies De Certeau’s concepts of “strategies” and “tactics” to understand how GAI benefits users across diverse life domains.