Artificial Intelligence and the Future of Work: Towards a Framework for Human-AI Augmentation, Workforce Resilience, and Equitable Transition

Abstract

This paper introduces two novel analytical frameworks—the Human-AI Collaboration Spectrum and the Work Transition Matrix—and proposes the ADAPT Framework, a five-pillar governance architecture for responsible AI-driven workforce transformation. Moving beyond the simplistic displacement-versus-augmentation debate, the paper argues that AI's employment impact is conditional rather than deterministic—shaped by organizational governance choices rather than the technology itself. Drawing on labor economics, organizational theory, supply chain management research, and illustrative case applications in legal services, advanced manufacturing, and financial services, the paper demonstrates the framework's cross-sector applicability and develops specific implications for supply chain organizations managing AI-enabled planning, sourcing, manufacturing, logistics, and operational decision-making. The paper offers actionable implementation guidance for leaders, policymakers, and researchers.