When AI Becomes a Distraction

AI is currently seen as a solution for many things.
For efficiency. For growth. For future viability.

That’s not wrong.
But incomplete.

Many companies are intensively engaged with AI.
Workshops, pilot projects, internal task forces.

From the outside, this looks decisive.
On the inside, it’s often something else.

AI is sometimes used to postpone difficult questions.
Not consciously. But noticeably.

Because AI offers something very tempting:
Activity without final decision.

You can test, optimize, evaluate.
Without committing.

That feels productive.
But it isn’t always.

Because some questions cannot be solved technically.

What do we actually stand for in the future?
What do we consciously leave behind?
What responsibility do we want to bear?

These questions are uncomfortable.
They cannot be delegated. Not even to AI.

Instead, symptoms are being worked on.
Processes are improved before it’s clear whether they’re even still relevant.

AI then becomes a distraction.
Not out of bad intent. But out of overwhelm.

That’s understandable.
But it’s dangerous.

Because the more energy flows in the wrong direction,
the harder it becomes to change course later.

Clarity doesn’t mean knowing everything immediately.
Clarity means not avoiding the right questions.

AI can help.
But it cannot replace this work.