90% of the AI budget goes into technology. Less than 10% into people.

90% of the AI budget goes into technology.

Less than 10% into people.

The OECD has studied this and calls it the "AI adoption gap":

Around 90% goes into tools, licences and infrastructure.

Less than 10% into what ultimately matters: people actually using it.

I regularly see the result:

Technically sound solutions. That nobody touches.

Prosci — a research institute for change management — surveyed more than 1,100 people in 2025.

63% say the biggest barriers to AI are human.

Not technology. Not data. People.

What helps:

→ Leaders who use AI themselves — rather than just talking about it

→ Budget for support — rather than whatever is left over at the end

→ Measuring whether it is used — not just whether it runs

→ Taking questions seriously before they become resistance

AI is not an IT project.

It is a leadership issue.

What does the allocation look like in your company?

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