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Meta's Employee Surveillance Tool Captures Non-US Worker Data, Putting Company on Collision Course with GDPR

What Meta Actually Built
Meta's Model Capability Initiative — MCI — tracks mouse movements, clicks, keystrokes, and dropdown menu navigation on employee computers. The stated goal, according to Reuters, is to train AI agents that can perform everyday software tasks on their own.
Mark Zuckerberg has said he wants to replace significant chunks of his workforce with AI. This tool appears designed to collect the training data to do it.
Meta confirmed the program to Engadget in April 2026, with a spokesperson saying the company needs "real examples of people completing everyday tasks on computers."
The Scope Is Larger Than Advertised
MCI pulls data from more than 200 apps and websites, according to a list Meta shared with staffers, as reported by Reuters. That is a sweeping surveillance system running on employee machines.
Meta told employees this only affects US workers. Then Reuters obtained internal Q&A documents where Meta acknowledged something different: the tool captures the contents of emails and direct messages sent to US personnel, regardless of where the sender is located.
Meta wrote in those documents: "If a US-based colleague has the tool enabled while gchatting or emailing with someone outside the US, that activity would be captured."
So if you're a Meta employee in Germany emailing your colleague in California, Meta is capturing your message.
The GDPR Problem
The European Union's General Data Protection Regulation requires companies to have a documented legal basis for collecting personal data and to clearly disclose what they're taking.
A legal expert told Reuters that even limited capture of EU employee data could put Meta in violation of GDPR. Rights groups flagged the same concern.
Meta spokesperson Dave Arnold told Reuters the company "carefully considered and mitigated potential privacy risks" and is "committed to complying with applicable laws and regulations." Arnold declined to answer detailed questions about how much data MCI is ingesting and, critically, declined to address its legality directly.
Context: The Labor Story
Most coverage frames this as a privacy issue. It is. But there's another dimension.
Zuckerberg has been explicit about wanting AI agents to perform work that human employees currently do. Meta employees circulating petitions against MCI — as reported by Engadget — expressed concern about helping train their own replacements.
Meta isn't collecting this data in isolation. It's building the AI infrastructure to automate large portions of its own workforce.
The Data Cost to Employees
According to internal posts seen by Reuters, employees with home internet plans that have monthly data quotas have watched MCI consume their entire monthly allotment within days.
Meta deployed surveillance software aggressive enough to drain employee home internet plans at roughly 10 times normal rates. Employees are absorbing real financial costs — higher internet bills, throttled speeds — because of Meta's data collection.
Meta has not addressed employee compensation for those costs.
The Contradiction
Spokesperson Dave Arnold confirmed the roughly 200-plus apps and websites being tracked. He said MCI focuses on "how people interact with computers, not the content on their screens."
But Meta's own internal documents say it captures email and chat content. Reuters has those documents. The statements contradict each other.
What This Means
If you work for any large tech company, pay attention. What Meta is doing here — deploying surveillance on employee machines, capturing communications, and training AI on the results — is the model other major tech employers are studying.
The EU has laws with teeth. GDPR fines can reach 4% of global annual revenue. For Meta, that could amount to billions. European regulators will almost certainly open an inquiry.
For American workers, there is no equivalent federal protection. You have fewer rights than your European colleagues when your employer decides to mine your daily work habits to build the AI system designed to eventually do your job.