Future of Work is the study and anticipation of how technological change, especially artificial intelligence and automation, reshapes jobs, skills, organisational structures, and the broader labour economy. It examines task automation and augmentation, the emergence of new roles, shifts toward distributed and hybrid working, and the policy responses needed for equitable transitions. The field blends economics, organisational behaviour, and technology forecasting.
Overview
- The future of work concerns the structural impact of intelligent systems on labour. Rather than wholesale job replacement, the dominant pattern is task-level change: some tasks are automated, many are augmented, and entirely new categories of work emerge around the design, supervision, and governance of AI systems.
- The field studies productivity effects, distributional consequences across skill levels and regions, the rise of remote and hybrid arrangements, and the institutional adaptations (reskilling, social safety nets, regulation) required for equitable transitions.
Key aspects
- Task automation versus task augmentation as distinct mechanisms.
- Skill polarisation and the changing value of routine versus non-routine work.
- Reskilling, upskilling, and lifelong learning as adaptation strategies.
- Distributed, hybrid, and asynchronous work patterns enabled by collaboration technology.
- Equity, displacement, and the policy debate over transition support.
Key aspects
- Human-AI teaming, where humans direct, verify, and contextualise machine output.
- Organisational redesign around AI-augmented workflows.
Applications
- Workforce planning and strategic skills forecasting in enterprises.
- AI copilots and assistants embedded in Knowledge Management workflows.
- Public policy on education, labour markets, and social protection.
- Productivity research underpinning Digital Transformation programmes.