Meta Platforms is rolling out internal monitoring systems that will collect employee computer interaction data, including keystrokes, mouse movements, and on-screen navigation, to help train its artificial intelligence models, according to internal communications and industry reporting.
The initiative is part of Meta’s broader effort to build AI systems capable of performing everyday digital tasks more effectively by learning directly from real human behaviour in workplace settings.
A Meta spokesperson said the company needs real-world interaction data to improve its AI agents, stating:
“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.”
Internal documents also suggest that employees’ routine activities are being positioned as a valuable training resource for AI development. One internal message reportedly noted:
“This is where all Meta employees can help our models get better simply by doing their daily work.”
Meta maintains that the data collected is intended strictly for AI training purposes and not for evaluating employee performance. The company also says safeguards are in place to protect sensitive or personal information, though it has not publicly detailed how those protections work.
The move reflects growing industry competition in AI agent development, where companies are increasingly relying on real-world behavioural data to improve system accuracy and autonomy. However, it has raised questions about workplace privacy and the extent of employee consent in data-driven AI training programs.
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