Meta is reportedly utilizing employees’ daily behavior data—such as communication patterns, workflow habits, and interactions with digital systems—to train and improve its AI models.

These insights help the company build more accurate systems capable of understanding user behavior and making smarter decisions, giving Meta a competitive edge in the AI race.

However, the move has raised concerns about employee privacy and the extent to which personal and professional data can be used, particularly regarding transparency and consent.

This development reflects a broader trend among major tech companies to leverage both internal and external data sources to advance AI capabilities, amid growing global debates over data ethics and privacy.