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Enterprise AI spending hit $37 billion in 2025<\/a>\u2014a 200% jump from the year before. The message from the C-suite couldn\u2019t be clearer: AI is no longer a competitive advantage. It\u2019s table stakes.<\/p>\n<\/div>\n So why are three-quarters of enterprises still stuck in pilot mode?<\/em><\/p>\n Budgets have been approved, platforms deployed, and centers of excellence stood up. Yet few AI initiatives meet expectations for revenue impact. The technology isn\u2019t the problem. The problem is that no one actually taught your people how to use it.<\/p>\n Enterprises are running an average of 200<\/a> AI tools. However, only 28% of employees <\/a>know how to use their company\u2019s applications, and only 7.5% have received <\/a>what could be called extensive AI training. And when employees don\u2019t get trained on sanctioned tools, they route around IT, quietly using whatever works, hidden from view.<\/p>\n<\/div>\n The behavior that follows is predictable: 57% of American employees are reluctant <\/a>to admit to their managers that they use AI at all. Nearly half admit<\/a> to pretending they know how to use it just to avoid looking incompetent. Leaders, meanwhile, use AI at double the rate of individual contributors<\/a>, meaning the people doing the most hands-on work are the least supported.<\/p>\n This isn\u2019t a motivation problem. Employees want to use AI. They\u2019re already using it. They just don\u2019t know how to use it in ways that generate real business value, and most organizations haven\u2019t given them a meaningful opportunity to learn.<\/p>\n 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.<\/p>\n<\/div>\nThe knowledge gap is enormous<\/h2>\n
Building AI fluency requires practice<\/h2>\n