Most leaders say they lack AI skills.
But most employees already use AI.

The real problem is not skill.
It is a structure.

The Centralinks analysis shows something uncomfortable. Employees experiment with AI every day, but without guidance, training, or clarity. This creates a silent skills gap. People use AI, but they do not know if they use it the right way.

Big firms see the same issue. McKinsey reports that most AI value gaps come from weak enablement, not lack of tools. Deloitte shows that short AI courses do not change behavior if work processes stay the same.

The article makes one thing clear.

AI skills are not learned in classrooms. They are learned through real work.

What actually reduces the AI skills gap:

>Clear rules on where AI can be used

>Real examples from daily tasks

>Managers who talk openly about AI use

>Safe space to learn without fear

>Training linked to roles, not job titles

Research confirms this. Studies show that people learn AI faster when learning happens during work, not outside it. AI literacy grows when leaders support practice, not perfection.

If this gap is ignored:

-Shadow AI grows

-Risk increases

-Value stays low

If addressed well:

-Confidence grows

-Adoption improves

-AI becomes useful, not scary

At Centralink, we help organizations in the Netherlands close the AI skills gap through practical, role-based enablement.

Contact us via info@centralink.nl now