Psychosocial effects of generative artificial intelligence in local communities

Abstract

This paper explores the psychosocial effects of generative artificial intelligence (GAI) on local
communities, emphasizing how these effects depend on cultural context, social cohesion,
economic structure, and urbanization level. Drawing on literature and secondary data (Hagerty
& Rubinov, 2019; UN, 2025; Villagómez, 2025; Jardón Gallegos et al., 2024), the study argues
that GAI’s impacts are not uniform: in highly cohesive communities GAI can enhance educational
and productive opportunities, whereas in less cohesive settings or low- and middle-income
countries it may exacerbate inequalities, deepen labor precarity, and provoke social anxiety.
The paper also examines how generative language technologies reshape human–machine
relationships and perceptions of reality, affecting affective, educational, and work life. It concludes
that a contextualized approach incorporating ethnographic research, training policies, and social
protection measures is required to maximize benefits and mitigate harms.