Inside Menlo Park, a fundamental shift in the definition of white-collar work is currently taking place. The Met, led by Mark Zuckerberg, is implementing a system that transforms the daily activities of engineers and managers into the raw material for building autonomous AI agents. The programme, called the Model Capability Initiative (MCI), is not only a new monitoring tool, but above all a signal that Silicon Valley is entering a new, aggressive phase of automation.
According to internal company notes, MCI records mouse movements, clicks and keystrokes of employees in the US. The tool also takes occasional snapshots of the screen to teach AI models the subtleties of human interaction with the software – from handling keyboard shortcuts to navigating complex drop-down menus. What was previously an intuitive human craft becomes a training data set.
Meta’s technical director, Andrew Bosworth, leaves no illusions about the purpose of this initiative, currently operating under the Agent Transformation Accelerator (ATA) programme. The company’s vision is of a world where AI agents do most of the work and the role of humans is reduced to that of supervisor and equalizer. To achieve this, Meta must first ‘clone’ the behavioural patterns of its top professionals.
This strategy is inextricably linked to a deep restructuring of the workforce structure. Meta is not only planning further job cuts, but is also blurring the lines between traditional roles by introducing the universal title of ‘AI developer’. The creation of the Applied AI (AAI) team aims to create systems capable of writing, testing and shipping code independently. In this model, the software engineer ceases to be a developer and becomes a teacher of the algorithm, ultimately replacing it in repeatable processes.
However, the initiative raises serious questions about the limits of surveillance in the white-collar sector. While real-time tracking of movements has so far been the domain of logistics staff or delivery drivers, the transfer of these methods to engineering offices sets a precedent. Legal experts point to a profound gap between the liberal approach in the US and the strict regulations in Europe. While this surveillance is legally permissible in the US, in the European Union, GDPR regulations and national labour protection laws would likely prevent the implementation of MCI on such a scale.
Meta spokesperson Andy Stone assures that the data is not used to assess performance and that the company has safeguards in place to protect sensitive content. But for the business market, the lesson is clear: Meta is putting everything on the line. If the ‘Agent Transformation’ experiment succeeds, the company will gain an efficiency advantage that competitors may not be able to make up for without similarly compromising the privacy of their staff.
