Harvard Business Review LogoApril 14, 2026SOPA Images/Getty ImagesMany corporate gen AI programs fail. They yield clunky tools, slow rollouts, and unimpressive results. Meanwhile, a hidden revolution is taking place inside most large organizations. Employees, frustrated by cumbersome corporate tools or lack of access, are quietly using personal ChatGPT, Claude, and other consumer AI models on the side, often without telling IT or compliance. An official at a large central bank reported to one of us that when their employees are working on their secure, no-AI, bank-issued PCs, they often have their personal laptops open to the home page of their favorite large language model.
The Hidden Demand for AI Inside Your Company
Rather than treating employees’ unauthorized use of consumer AI tools as a compliance problem, companies should recognize it as a signal of untapped demand and redirect that energy into a structured enterprise-wide strategy. BBVA, one of Europe’s largest banks, did exactly that by rapidly deploying a secure AI environment, making access competitive and scarce, and building a peer-driven network of expert users who spread knowledge and developed practical tools from the ground up. The result was over 11,000 active users, 4,800 custom internal tools, and reported time savings of two to five hours per employee per week. The broad lesson is clear: To succeed in adopting enterprise AI, don’t impose centralized mandates but instead trust and empower the hidden innovators already inside your organization.
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