More than a third of workers say they’re hoarding expertise because they fear being replaced by the AI agents they’re being asked to train

This spring, Meta told thousands of U.S. employees that software on their work computers would begin capturing mouse movements, clicks, and keystrokes. Meta needed this data, they said, to help train its AI agents on real examples of how people work. And it’s not just Meta that needs this kind of data. Any company trying to automate workflows with artificial intelligence needs access to how humans actually perform these tasks. McKinsey, for instance, created its internal generative AI, Lilli, by drawing on the expertise that had been developed in the firm over its long history. The director of design for Lilli made the underlying logic explicit. For most of McKinsey’s history, she said, “our knowledge was with our experts.” Lilli is the attempt to take that knowledge out of the experts and make it an organization-wide resource. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/creator-faisalhoque.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/faisal-hoque.png","eyebrow":"","headline":"Ready to thrive at the intersection …