Meta will install monitoring software on its US-based employees' work computers to capture mouse movements, keystrokes, and occasional screenshots, and will use that recorded activity to train its AI models, according to an internal memo obtained by Reuters and reported on April 21, 2026. The program is called the 'Model Capability Initiative.' The stated purpose is to improve AI performance on tasks that models still struggle with — things like choosing the right item from a drop-down menu, using keyboard shortcuts, and navigating complex enterprise software. Monitoring runs on work-related apps and websites only, according to the memo.
The policy is legal in the US, where federal law places essentially no limit on workplace surveillance, as Yale's Ifeoma Ajunwa noted to Reuters. It would likely run into problems under European labor and privacy law, which is why the program is restricted to US staff. The tension is straightforward — Meta is asking employees to generate training data for AI systems that, in many cases, are explicitly being built to automate work like theirs. The company is also in the middle of preparing layoffs of up to 20% of the workforce, with the first cuts reportedly planned for May.
This isn't isolated. The wider industry is running out of high-quality text data on the open internet, and several labs have started turning to screen-recording, user-session logs, and other forms of observational data to keep training models on real workflows. Microsoft's Recall and OpenAI's agent work both depend on similar telemetry. What makes Meta's move notable is that the data source is the company's own employees, gathered under an employment relationship rather than a consumer opt-in. That sets a precedent other large employers will watch closely.
Takeaway for learners: the phrase 'training data' is getting blurrier every year. It is no longer just scraped web text — it is screen recordings, chat transcripts, sensor streams, and increasingly, the work product of actual employees. If you care about how AI systems get built, read your employer's acceptable-use policy and data-retention policy carefully. And if you are building AI at a company, 'where does the training data come from, and who consented' is now a first-order ethics question, not a legal footnote.