Starter. A growing body of empirical research suggests that AI and automation do not necessarily reduce workload. An analytical review published in Harvard Business Review (February 2026)[1] synthesizes findings showing that AI often intensifies work rather than lightening it. Instead of shrinking effort, intelligent systems accelerate pace, expand task scope, and quietly extend the working day. Over time, this leads to cognitive fatigue, burnout, and declining decision quality.

But if we look across organizational behavior and digital work we could point that:

  • Digital tools increase output volume.
  • They expand coordination demands.
  • They multiply micro-decisions.
  • They generate more data that requires interpretation.

Automation makes systems faster. It does not automatically make them wiser. In many cases, it increases the number of decisions leaders must make but not their clarity.

And this leads us to a deeper realization: Automation almost always answers one question but almost never the second.

[Q1] In automation strategies, everything appears logical: reduce time, cut costs, increase productivity. Yet almost nowhere do we ask [Q2]: where do the released capabilities actually go?

Key - Not people, but capabilities:

  • Time
  • Attention
  • Managerial capacity
  • System throughput

By default, we assume that once a resource is freed, the system will naturally use it more efficiently. And this is the central illusion of automation.

In reality, something else happens — the diffusion of effort.

Freed time:

  • gets absorbed by reporting,
  • fills up with approvals and coordination,
  • fragments into smaller tasks,
  • drowns in communication flows.

As a result, freed attention does not reinforce strategy but it disperses across an even larger number of secondary decisions. The outcome is paradoxical.

The system:

  • works faster,
  • produces more data,
  • looks more efficient,
  • but does not make better decisions and often makes worse ones.

Because automation without a strategy for reallocating capabilities is simply an acceleration of existing chaos.

True digital strategy does not begin with the question: “What should we automate?”.

It begins with another one: Where will we deliberately direct the system’s newly released capacity to think and decide?

If there is no clear answer, digitalization becomes nothing more than a redistribution of busyness rather than development.