Human-AI Symbiosis as Barrier-Limiting Framework for Human Well-Being

Grounded in positive psychology, well-being is increasingly recognized as a critical determinant of decision quality, performance, and adaptive functioning across individual and organizational contexts. Yet flourishing is often constrained not by insufficient cognitive capacity, but by multi-level barriers: physiological dysregulation, threat-driven cognition, emotional contagion, and narrative disruption, that degrade judgment and agency. Contemporary artificial intelligence systems, typically optimized for speed and output, may inadvertently intensify these barriers. This article proposes a new generation of AI: Human–AI Symbiosis, as well-being barrier-limiting regulatory framework. Building on the PERMA model of well-being, the paper conceptualize five patented symbiotic mechanisms that regulate Human-AI symbiosis in response to human and collective state conditions. Each mechanism is mapped to a specific PERMA dimension and interpreted as removing structural constraints well-being. By shifting AI from optimization to stabilization, the proposed framework preserves the conditions necessary for reliable cognition and flourishing. The study contributes a mechanism-level framework for AI-for-well-being and positions symbiotic, state-aware Human-AI symbiosis as a next generation of AI.