Artificial intelligence is entering organizations faster than most institutions can redesign the human experience around it. This conceptual article argues that the central question is no longer whether AI can increase efficiency, but whether technological innovation can improve performance without impoverishing autonomy, meaning, relationships, health, judgment, or dignity. It develops the Human-Centered AI Well-Being Architecture (HAWA), an original eight-dimensional framework integrating physical, cognitive, emotional, transcendent/meaning, social, professional, financial, and technological well-being. The model is developed through a structured integrative synthesis of established theory, international governance frameworks, and recent evidence on generative AI and work. HAWA positions well-being as a design requirement, governance criterion, and measurable organizational capability rather than a soft outcome added after deployment. Five operating principles—augmentation before substitution, agency before automation, intelligibility before opacity, human connection before frictionless isolation, and shared value before one-sided productivity—are translated into a cycle of govern, map, co-design, deploy, measure, and learn. A Well-Being Impact Matrix and Human Purpose Scorecard expose trade-offs that conventional productivity metrics can conceal. The distinctive contribution is a multidimensional, non-compensatory bridge between responsible-AI governance and the lived experience of workers and other stakeholders. Trustworthy AI, the paper concludes, requires an architecture in which technology expands human capability while preserving the conditions that make work and life worth living.
