WHAT WE KNOW SO FAR: Meta's latest AI push appears to be built on something broader than it initially suggested: a detailed, ongoing log of how its employees use their work computers. How this plays out – whether as a win for Meta's AI ambitions or a regulatory headache – will depend on whether regulators accept Meta's distinction between behavioral data and personal information.
Internal documents reviewed by Reuters show that the company's Model Capability Initiative (MCI) is collecting interaction data across more than 200 apps and websites. The goal is to train AI systems to perform routine digital tasks autonomously. But exactly what the tool is collecting – and how far that collection extends – is drawing scrutiny both inside Meta and from privacy advocates.
At a basic level, MCI tracks how employees move through software: mouse movements, clicks, and navigation patterns. This kind of telemetry is useful for building AI agents that can replicate common workflows. Over time, these patterns could help train systems that don't just respond to prompts but also carry out multi-step tasks within standard workplace software.
What Meta did not initially emphasize is how much additional data may be pulled into that process.
