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The tool reportedly being tested inside Meta is designed to capture workflows at a microscopic level — clicks, typing patterns, app switching, even decision timing. This kind of behavioral data is what AI companies use to build “digital replicas” of high-performing employees.
What makes this different is the scale. Meta is reportedly investing up to $135B into AI infrastructure this year while simultaneously restructuring teams around automation.
The bigger story isn’t layoffs. It’s that companies are now training AI directly from human behavior in real time.
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