Workspace Transformation in the Age of AI
AI and automation are shaping the future of work and encouraging people to consider whether AI should support, automate or redesign their work patterns. This technique explains how to assess tasks, human judgement, risk and workspace design before changing workflows, roles and performance measures (Autor, 2015; Alfieri et al., 2025).
Technique Overview
Workspace Transformation in the Age of AI Definition
Workspace transformation is a task-based decision method for deciding whether AI and automation should extend human capability, take over a task, or trigger wider redesign. It compares task characteristics, human judgement, data quality, risk, accountability and performance evidence so organisations can redesign work responsibly rather than adopting tools because they are technically possible (Alfieri et al., 2025; NIST, 2023).
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Business Evidence
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Business Application
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Further Reading
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Workspace Transformation in the Age of AI references (4 of up to 20) *
- Alfieri, C. et al. (2025) ‘fRAme: an evaluation framework for human augmentation or replacement by autonomous intelligent systems’, AI & Society. doi:10.1007/s00146-025-02631-0.
- Autor, D.H. (2015) ‘Why are there still so many jobs? The history and future of workplace automation’, Journal of Economic Perspectives, 29(3), pp. 3-30. doi:10.1257/jep.29.3.3.
- Bainbridge, L. (1983) ‘Ironies of automation’, Automatica, 19(6), pp. 775-779. doi:10.1016/0005-1098(83)90046-8.
- Boudreau, J.W. and Jesuthasan, R. (2022) Work Without Jobs: How to Reboot Your Organization’s Work Operating System. Cambridge, MA: MIT Press.
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