Work, Wellbeing, and Choice: Empirical Lessons for AI Futures

Recent research in Computers and Society explores the evolving relationship between paid work and human wellbeing, particularly in the context of increasing AI-driven automation. The study aims to provide empirical grounding by surveying existing psychological, sociological, and economic literature on this topic. It investigates how wellbeing is influenced by work and how it is maintained among those who do not work, seeking to inform future economic transformations induced by AI.

This research is strategically important because it addresses fundamental questions about the future of work and human flourishing in an AI-augmented economy. Understanding the drivers of wellbeing beyond traditional employment is crucial for organizational and societal resilience, enabling proactive planning for workforce transitions and new models of value creation.

AI-driven automation raises questions about the necessity and availability of paid employment.

Forward consideration, not a verified fact.