Artificial intelligence and digital technology are fundamentally reshaping how people think, feel, work, and relate to one another. This paper examines these transformations through a biopsychosocial framework that integrates biological, psychological, and social dimensions rather than addressing them in isolation. At the biological level, prolonged exposure to AI-driven environments affects attentional capacity, sleep patterns, and neurological reward systems. Psychologically, increasing reliance on algorithms for decision-making, identity construction in virtual spaces, and social validation through digital platforms are associated with rising rates of anxiety, emotional dysregulation, and digital addiction. Socially, algorithmic systems are quietly restructuring interpersonal communication, the quality of human bonds, and shared norms often blurring the boundary between online and offline life. This paper also identifies protective factors including digital literacy, emotional intelligence, and intentional technology use that support well-being. Drawing on psychology, neuroscience, and social science, it proposes a practical integrative framework to address a critical gap in understanding human adaptation to AI-mediated environments..
Keywords: Artificial Intelligence, Digital Behavior, Mental Health, Biopsychosocial Model, Human Adaptation .