Enterprise AI spending hit $37 billion in 2025—a 200% jump from the year before. The message from the C-suite couldn’t be clearer: AI is no longer a competitive advantage. It’s table stakes.
So why are three-quarters of enterprises still stuck in pilot mode?
Budgets have been approved, platforms deployed, and centers of excellence stood up. Yet few AI initiatives meet expectations for revenue impact. The technology isn’t the problem. The problem is that no one actually taught your people how to use it.
The knowledge gap is enormous
Enterprises are running an average of 200 AI tools. However, only 28% of employees know how to use their company’s applications, and only 7.5% have received what could be called extensive AI training. And when employees don’t get trained on sanctioned tools, they route around IT, quietly using whatever works, hidden from view.
The behavior that follows is predictable: 57% of American employees are reluctant to admit to their managers that they use AI at all. Nearly half admit to pretending they know how to use it just to avoid looking incompetent. Leaders, meanwhile, use AI at double the rate of individual contributors, meaning the people doing the most hands-on work are the least supported.
This isn’t a motivation problem. Employees want to use AI. They’re already using it. They just don’t know how to use it in ways that generate real business value, and most organizations haven’t given them a meaningful opportunity to learn.
Building AI fluency requires practice
Most enterprise AI training follows a familiar script: a video module, a PDF of prompt examples, maybe a vendor demo. Employees watch, nod, and return to their desks, where they proceed to use Claude or ChatGPT as a slightly smarter search engine.
