Meta tracking employee keystrokes on Google, LinkedIn, Wikipedia

Meta has begun deploying an internal tool called the Model Capability Initiative (MCI) that will collect U.S.-based employees’ mouse movements, clicks, keystrokes and occasional screenshots while they use work-related apps and websites. Internal memos reviewed by Reuters indicate the data will be used to train AI models to better perform routine computer tasks.

The memos, posted within a Meta SuperIntelligence Labs channel, say MCI targets interactions where models still struggle—such as selecting from dropdown menus and using keyboard shortcuts—and that the tool will run across a specified list of applications and sites. A Meta spokesperson said the data would not be used for performance reviews and that safeguards would protect sensitive content, though the rollout includes commonly used services like Google, LinkedIn and Wikipedia.

From a market perspective, the move supplies Meta with high-quality, contextual training examples that could accelerate development of AI agents capable of automating knowledge-worker tasks. While this is unlikely to trigger immediate share-price volatility on its own, investors will watch for regulatory pushback, employee unrest, or increases in compliance costs that might affect long-term valuation. Industry commentary highlights the balance between AI capability gains and reputational or legal risks.

The initiative raises legal and privacy questions internationally: reporting notes that countries such as Italy explicitly limit electronic monitoring of workers, and German courts have allowed keystroke logging only in exceptional circumstances. That legal patchwork means Meta may need to tailor or restrict MCI outside the United States to avoid enforcement actions and litigation.

Analysts and labor advocates say transparency, clear consent mechanisms, data minimization and robust retention limits will be essential if companies are to use employee activity as training data without eroding trust. In the near term, the market will monitor Meta’s communications, any regulatory responses, and whether employees or unions push back—factors that could influence operational costs and investor sentiment.