Meta to Track Employees' Every Click and Keystroke to Train AI Models
The initiative is designed to help Meta’s AI models better understand how humans interact with computers—an area where current systems still face limitations.
Meta Platforms is rolling out new tracking software across its U.S.-based workforce to capture detailed user interactions, including mouse movements, clicks and keystrokes, as part of a broader effort to train artificial intelligence systems, Reuters reported.
The tool, called Model Capability Initiative (MCI), operates across work-related applications and websites and can take periodic snapshots of employees’ screens.
The initiative is designed to help Meta’s AI models better understand how humans interact with computers—an area where current systems still face limitations.
"This is where all Meta employees can help our models get better simply by doing their daily work," the memo said, highlighting the company’s strategy of using real-world employee behavior to refine AI capabilities.
The move is part of Meta’s larger “AI for Work” programme, now rebranded as the Agent Transformation Accelerator (ATA), which aims to integrate AI agents deeply into internal workflows. Chief Technology Officer Andrew Bosworth emphasised the long-term vision in a separate memo.
Meta spokesperson Andy Stone said the collected data would be used strictly for AI model training and not for employee performance evaluation, adding that safeguards are in place to protect sensitive information.
“If we're building agents to help people complete everyday tasks using computers, our models need real examples of how people actually use them — things like mouse movements, clicking buttons, and navigating dropdown menus," Stone said.
The initiative reflects Meta’s aggressive push to automate workflows and reshape its workforce around AI. The company has already encouraged employees to adopt AI tools for coding and other tasks, while restructuring teams and roles to align with its long-term vision of AI-driven operations.
However, the move has raised concerns among experts about workplace surveillance and employee privacy, particularly as such detailed monitoring becomes more common in white-collar environments.
