Most companies are training AI skills. Very few are structuring them.
That is the real gap behind "who should learn what".
I keep seeing the same pattern across organizations.
Executives explore tools. Employees are told to "use AI". Experts go deep into engineering.
Everyone is learning. But not in a way that connects.
On paper, it looks like progress. In reality, it creates fragmentation.
Decisions become naive. Work becomes faster, not better. Systems become impressive, but disconnected from value.
This is why this Gartner overview is interesting.
It shows clearly that different roles need different depths of AI understanding. That part makes sense.
But something deeper is missing.
AI literacy is not just about who learns what. It is about whether those layers actually align.
Because when they don't:
More tools appear. More experiments happen. But clarity disappears.
When they do align, something shifts.
AI stops being a feature. It becomes part of how the organization thinks.
That is the real transition most companies have not made yet.
Not access to AI. Structure around it.
And that is a leadership responsibility.
How are you approaching AI literacy today as a set of skills, or as a system you actively design?