Employees across organizations are increasingly using AI tools privately to boost productivity but often conceal this usage due to fears about job security, competitive advantage, and impostor syndrome. This widespread silence creates a major measurement problem for leadership, as true AI-driven outcomes remain hidden, preventing accurate assessment and effective governance. To address this, organizations must explicitly protect employees from job cuts tied to AI gains, build strong incentives for transparency, and restructure board reporting to focus on meaningful business outcomes and employee perspectives rather than just AI adoption metrics.
