Meta's decision to track employee clicks and keystrokes for training artificial intelligence models, reported by BBC Tech, raises a fundamental question about the boundaries of workplace surveillance. The company is collecting granular behavioral data from its own workforce—not to improve security or productivity, but to feed its AI development pipeline. This shifts the logic of employee monitoring: workers become unwitting contributors to a product they do not directly build. The data will be used to train models that may eventually automate tasks, potentially displacing some roles. No privacy protections or opt-out mechanisms have been disclosed. The tension lies in the asymmetry: Meta employees, who understand the value and risks of data collection, could now find themselves subject to the same extraction logic the company applies to its users.