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Meta to Monitor Employee Keystrokes for AI Training Amid Massive AI Spend and Job Cut Fears

Meta will track employee keystrokes and mouse clicks to train AI models, following a $140 billion AI investment and a significant drop in job postings.

Alex Mercer/3 min/GB

Senior Tech Correspondent

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Woman with dark curly hair, wearing tan polo neck jumper, works on a computer in an office

Woman with dark curly hair, wearing tan polo neck jumper, works on a computer in an office

Source: BbcOriginal source

Meta will track employee keystrokes and mouse clicks for AI training, a move coinciding with the company's substantial AI investments and a sharp decline in job openings.

Meta has initiated a new policy requiring employees to allow monitoring of their keystrokes and mouse clicks. The company will use this collected data as training material for its artificial intelligence (AI) models. This internal monitoring aims to provide real-world examples of how individuals interact with computers, enhancing the development of AI tools.

This operational shift occurs amidst Meta's aggressive push into AI development. The company intends to allocate approximately $140 billion towards AI initiatives in 2026. This figure represents nearly double its AI investment from the previous year, highlighting a significant financial commitment to the technology's advancement.

The focus on AI training and investment coincides with a notable reduction in Meta's workforce expansion. The company's public job postings have sharply declined from roughly 800 positions advertised in March to only seven available currently. This dramatic decrease indicates a shift in hiring priorities, consolidating resources as the company navigates its AI strategy.

The combination of enhanced employee monitoring, increased AI spending, and reduced hiring signals a transformative period for Meta's operational strategy. The company is actively reshaping its internal processes and workforce composition to prioritize AI development. Observers will watch how this strategy impacts employee productivity, the pace of AI innovation, and the broader tech employment landscape.

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