Artificial Intelligence, Emotions and Belonging

Carlos Federico Obregon Diaz

MPRA Paper from University Library of Munich, Germany

Abstract: This paper presents a theoretical framework integrating artificial intelligence (AI), institutional economics, and the concept of belonging. It argues that AI, while representing a major technological innovation, lacks autonomous agency because it is not grounded in biological evolution or emotional structures. As a result, its economic and social effects depend on institutional configurations and patterns of participation. The paper analyzes the implications of AI for labor markets, income distribution, and social cohesion, emphasizing the role of middle-class formation and effective participation in sustaining stable development paths. It proposes that AI can either reinforce exclusionary equilibria or support inclusive growth depending on institutional design. The framework contributes to development theory and political economy by incorporating belonging as a foundational determinant of economic outcomes.

Keywords: Artificial Intelligence; Philosophy of Belonging; Emotions; Human Intelligence; Social Ontology; Institutional Economics; Economy of Belonging; Middle Class; Technological Change; Automation; Labor Markets; Inequality; Power and Domination; Evolutionary Psychology; Digital Capitalism; AI Ethics; Social Belonging; Development Economics; Political Economy; Affective Simulation (search for similar items in EconPapers)
JEL-codes: D02 D91 I31 J24 J31 O33 O40 P16 (search for similar items in EconPapers)
Date: 2026-04-17
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