That's not the reason.
The reason is much simpler. The 1/9/90 rule which is a permanent state of any larger organization regardless.
There is an unspoken rule stemming from online communities which suggests that:
1% of users create.
9% interact with it (comment, share, etc.).
90% passively consume it.
This rule can also be applied to most other scenarios where creativity is part of the value creation, and that's a problem, let me explain why.
Most people are not creative, neither do they strive to be. To them AI isn't something exciting, it's just yet another technology they are forced to learn how to deal with in their work. They might be impressed by it or they might even fear it but they don't see AI and think about all the great things they can do with it.
Yet many AI roll‑outs hinge on that very assumption. Organizations deploy generic co‑pilots or chatbots and wait for a productivity boom that never materializes. The result is a familiar paradox: the people who could benefit the most (the 90 %) abandon the tool, while the power users become even more productive further widening the gap.
While there is absolutely nothing wrong with co-pilots, they just quickly run into a series of challenges that AI itself can't solve easily. This might be the need for access of data outside the perimeters of the platform or the need to deliver consistent outputs for batch processing or to automate more complicated workflows. While a technical person could overcome those issues, most people can't and thus you end up with AI that can only help you with things you can already do yourself, while unhelpful for things that would actually save you time.
In other words. Most AI strategies fail to add value not because AI is useless in the organization but because it's assumed that everyone needs the same type of AI to be productive and know how to get the most out of it.