Meta to Monitor Employee Keystrokes and Mouse Clicks for AI Training
Meta will track employee computer activity - including keystrokes and mouse clicks - to train its AI models, the company announced this week. The tool, called Model Capability Initiative (MCI), marks the first time Meta is systematically logging workplace activity specifically for AI development, rather than general security or compliance purposes.
A Meta spokesperson told the BBC the company needs "real examples of how people actually use" computers to build AI agents that help workers complete everyday tasks. The spokesperson added that data collected through MCI would not be used for other purposes and that safeguards would protect sensitive content.
The move has prompted concern among Meta's workforce. Some employees described the initiative as "dystopian," while others said the company "has become obsessed with AI." The announcement comes as Meta prepares to cut 8,000 positions - 10% of its staff - starting in May, with AI automation cited as a primary driver.
Broader Tech Sector Trend
Meta is not alone in using AI to reduce headcount. Snapchat announced last week that it would eliminate 1,000 jobs while introducing AI tools to help remaining workers "reduce repetitive work and increase velocity." Meta CEO Mark Zuckerberg said 2026 would be "the year that AI dramatically changes the way we work," and the company plans to spend approximately $140 billion on AI this year - nearly double its 2025 investment.
However, a recent survey of UK HR leaders found that nine out of 10 companies that made redundancies due to AI implementation later regretted the decision. The finding suggests that cost savings from automation may not offset longer-term costs to operations and workforce morale.
What This Means for HR Leaders
The MCI initiative raises questions about employee privacy, data governance, and the role of HR in monitoring technology rollouts. HR professionals responsible for employee relations and compliance should understand both the technical capabilities of such tools and their potential impact on workplace culture.
For HR leaders evaluating AI tools in their own organizations, Meta's approach offers a case study in how employee concerns can arise when monitoring systems are introduced without clear communication about purpose and safeguards. Understanding AI for Human Resources includes knowing how to implement such tools responsibly.
CHROs and senior HR executives responsible for AI strategy may benefit from understanding how to balance business needs with workforce concerns. The AI Learning Path for CHROs covers workforce analytics and talent management decisions in the context of AI adoption.
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