I recently ran an AI strategy session for an organization’s leadership team. They had everything the playbooks prescribe. Trainings. Access to multiple AI systems. A no-code platform. So I asked: How many have built something with AI that changed how work gets done?
One hand raised. Most considered themselves users of AI, but not builders. No personal agents, no custom assistants or reusable workflows.
That distinction matters. Assistance creates a one-time productivity gain. Building turns that gain into a reusable tool or workflow that can scale. While most leaders track how many employees use AI, the more revealing question is how many are building with it. Call it the builder activation gap: the distance between the many people who could build with AI and the few who do.
Across executive education sessions and applied AI courses for working professionals, the pattern I see is the same. Nearly anyone who can describe what they want in plain English can now build a working assistant, app or automation without writing a line of code. Yet few are building anything useful.
A couple of years ago, Caroline Davis, Chief of Staff at Capital Factory, saw herself as an AI user rather than a builder. When I asked her applied AI course who had ever built a working tool with the technology, her hand stayed down.
