- Meta is recording employee clicks, keystrokes, and screen activity to train AI agents on real work behavior.
- The program is part of a broader push to build artificial intelligence systems that can perform everyday tasks with minimal human involvement.
- The move comes just ahead of reports of layoffs at the company.
Meta has started collecting everything its employees do while doing their normal work to train its AI models, as it first reported PakGazette. The Model Capability Initiative records mouse movements and clicks, keyboard keystrokes, and even occasional screenshots of computers used by Meta employees in the U.S. The company wants to observe how people actually use the software and then feed that behavior into AI models so they can learn to do the same things.
Basically, Meta wants to make its systems more reliable for the small actions that define a workday. That means everything from navigating a menu and moving between windows to analyzing different website formats. These are not easily resolved with text data alone.
“This is where all Meta employees can help our models improve simply by doing their daily jobs,” the internal memo states.
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Training your own successor
AI systems are moving from generating content to taking actions. They are being trained to complete tasks that have always required a person at a keyboard. That requires more examples than just a list of steps to complete a task. They need to see how the work develops. Meta’s approach is to capture those steps directly, turning everyday activity into training material.
Workplace monitoring has been around for a long time, but Meta’s approach is more detailed and more specific in its purpose. The system records detailed interactions that are typically overlooked, generating a detailed picture of how tasks are completed in practice. According to the company, the data is not intended for performance evaluation, and security measures are in place to protect confidential information.
The tracking program is part of Meta’s broader push to develop artificial intelligence agents capable of handling everyday tasks. This Agent Transformation Accelerator focuses on creating AI models for routine work across different tools and platforms.
The timing of the launch is difficult to separate from other changes in the company. Meta is preparing to lay off about 10% of its global workforce, with more to come. Additional cuts are expected later in the year.
All-Seeing AI Eye
Regardless of how Meta plans to use the data, the level of detail the program collects is unusually comprehensive. Logging every keystroke and mouse movement is more familiar in factories and warehouses than in corporate offices. It’s a new level of visibility and possibly uncomfortably intrusive for many.
The fact that it is happening in the United States is not surprising. Companies here are generally only required to inform employees about surveillance, while European labor and data privacy rules impose much stricter limits on this type of monitoring.
For Meta, the fact that it is necessary to train on examples of everyday tasks makes this monitoring program the obvious decision. Employees may feel less comfortable having no choice but to expose every moment of their workday to observation and have that data used to potentially replace them and all of their coworkers.
If the Meta program works as the company expects, it is unlikely that it will remain exclusive to the company. Demand for real-world behavioral data will increase as AI capable of performing those tasks becomes more common.
Meta wants to create AI models that can completely mimic what human employees do at work. Whether that leads to more efficient tools or simply a more uncertain and potentially depressed workplace depends on how those AI models are implemented, but there’s no doubt they’ll soon be hanging on every click.
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