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Meta is rolling out new internal tracking software to capture how employees interact with computers, as part of a broader push to train AI systems capable of performing workplace tasks autonomously.
The tool, known as the Model Capability Initiative (MCI), will monitor mouse movements, clicks, and keystrokes across work-related applications and websites. It will also take periodic screen snapshots to help improve how AI models understand real-world human-computer interactions.
According to internal communications, the initiative is designed to address gaps in AI performance in areas such as navigating menus, using shortcuts, and completing multi-step digital tasks-capabilities essential for building effective AI agents.
Meta said the data collected will be used solely for model training and not for employee performance evaluation. A company spokesperson added that safeguards are in place to protect sensitive information, though details on exclusions were not specified.
The move is part of a wider internal program, now branded as the Agent Transformation Accelerator (ATA), aimed at embedding AI across workflows. Andrew Bosworth said the company’s long-term vision is to shift toward a model where AI agents handle most operational tasks, with humans focusing on oversight and refinement.
The initiative reflects Meta’s aggressive strategy to integrate AI into its core operations and improve efficiency. The company has been encouraging employees to adopt AI tools for coding and other tasks, even at the cost of short-term productivity.
It also comes amid broader workforce restructuring. Meta is planning to reduce around 10% of its global workforce and is reorganizing roles around AI-centric functions, including the creation of a new “AI builder” designation. The company has also formed a dedicated Applied AI engineering team to advance its model capabilities and accelerate the development of autonomous agents.
Meta’s approach mirrors a wider trend across the tech industry, where companies are increasingly using internal data and workflows to train AI systems. Firms such as Amazon and others have also been investing heavily in automation and restructuring their workforce to align with AI-driven operations.
The development underscores how leading tech companies are moving beyond AI as a product feature to embedding it deeply into how work itself is performed.
The tool, known as the Model Capability Initiative (MCI), will monitor mouse movements, clicks, and keystrokes across work-related applications and websites. It will also take periodic screen snapshots to help improve how AI models understand real-world human-computer interactions.
According to internal communications, the initiative is designed to address gaps in AI performance in areas such as navigating menus, using shortcuts, and completing multi-step digital tasks-capabilities essential for building effective AI agents.
Meta said the data collected will be used solely for model training and not for employee performance evaluation. A company spokesperson added that safeguards are in place to protect sensitive information, though details on exclusions were not specified.
The move is part of a wider internal program, now branded as the Agent Transformation Accelerator (ATA), aimed at embedding AI across workflows. Andrew Bosworth said the company’s long-term vision is to shift toward a model where AI agents handle most operational tasks, with humans focusing on oversight and refinement.
The initiative reflects Meta’s aggressive strategy to integrate AI into its core operations and improve efficiency. The company has been encouraging employees to adopt AI tools for coding and other tasks, even at the cost of short-term productivity.
It also comes amid broader workforce restructuring. Meta is planning to reduce around 10% of its global workforce and is reorganizing roles around AI-centric functions, including the creation of a new “AI builder” designation. The company has also formed a dedicated Applied AI engineering team to advance its model capabilities and accelerate the development of autonomous agents.
Meta’s approach mirrors a wider trend across the tech industry, where companies are increasingly using internal data and workflows to train AI systems. Firms such as Amazon and others have also been investing heavily in automation and restructuring their workforce to align with AI-driven operations.
The development underscores how leading tech companies are moving beyond AI as a product feature to embedding it deeply into how work itself is performed.
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