The illusion of time freed up by AI, the importance of governance
The illusion of time freed up by AI, the importance of governance
Publish Date: 2026-05-11 02:16:00
Source Domain: www.startupbusiness.it
The prevailing narrative surrounding artificial intelligence is deceptively simple: by automating routine tasks and speeding up knowledge work, AI is supposed to reduce the human workload and free up time. Yet the reality unfolding within organisations suggests the opposite. Workers are not experiencing less work, but more: more tasks, more output, more expectations. The paradox is not technological; it is systemic.
A growing body of research from institutions such as the Harvard Business Review, the National Bureau of Economic Research and the London School of Economics confirms that artificial intelligence significantly boosts productivity at the level of individual tasks (HBR, 2023; NBER, 2024; LSE, 2023)[1,2,3]. Writing, coding, analysis: everything is completed in a fraction of the time previously required. However, embedded within this literature is a largely unquestioned assumption: that productivity gains can translate into reduced workloads. This assumption is flawed, because it treats productivity as a purely technical variable rather than as a resource that must be managed.
The key issue is not whether AI saves time, but who controls what happens to that time once it has been created.
The time saved does not go back to the workers; it becomes capacity
Once this distinction has been made, the apparent contradiction becomes clearer. The time saved through AI does not automatically revert to workers: it is transformed into capacity, and that capacity must be allocated. Organisations rarely interpret efficiency gains as an opportunity to reduce workload. On the contrary, they see them as a sign of underutilised resources. Consequently, what appears to be ‘freed-up time’ at the level of individual tasks is quickly reabsorbed into the system through new assignments, tighter deadlines and expanding expectations.
At the individual level, AI reduces the time needed to complete specific tasks, but this reduction lowers the perceived…
