Meta's massive layoffs: Zuckerberg admits AI is "learning" from employees and gradually replacing them.

Meta Platforms is advancing an organizational restructuring centered around AI at an unprecedented speed. This round of layoffs is not only the largest in history but has also triggered profound concerns about the future of white-collar employment in the tech industry, especially after Zuckerberg personally admitted that the company is tracking employee device activity to train AI models. The widespread attention to this layoff stems partly from leaked audio of an all-hands meeting. According to X account Official Layoff, Zuckerberg personally told employees during an internal meeting prior to the layoffs that the company is tracking their device usage to train AI models. Zuckerberg’s reasoning is: The average intelligence of Meta employees is significantly higher than that of outsourced data labeling staff usually hired in the industry. Therefore, instead of relying on external contractors, it’s preferable to use the company's own employees as a source of training data. He stated that he wants AI to observe how employees work and learn "how truly smart people use computers," claiming the relevant data has been anonymized and will not be used for surveillance or performance tracking. However, Zuckerberg also admitted there were mistakes in how this plan was rolled out, and acknowledged the company had deliberately withheld many details from employees—the reason being that fully disclosing their competitive AI strategy would aid competitors. His exact words: "If we communicate all the details as usual, it’s not strategically beneficial for us." This stance sparked a strong backlash among employees. According to internal information obtained by Business Insider and The Information, more than a thousand employees have signed a petition regarding the company’s installation of mouse tracking software, reflecting tense labor-management relations amid the threat of layoffs. Engineering and Product Teams Are the Main Focus of Layoffs According to previous articles from Wallstreetcn, about 8,000 positions are affected, accounting for roughly 10% of Meta’s nearly 78,000 employees. Reportedly, this round of layoffs mainly targets engineering and product teams. This aligns closely with Meta’s recent strategic direction—the company is shifting substantial capital from labor costs toward GPU purchases and data center construction to support rapid expansion of its AI infrastructure. Meta’s HR chief Janelle Gale issued an internal memo to employees before the layoffs outlining the implementation plan. Meanwhile, the company is redeploying over 7,000 employees to various new AI departments, indicating that the organizational adjustment is not simply about cost-cutting but represents a comprehensive AI-centric structural overhaul. Insiders also pointed out that further layoffs could happen later this year, suggesting that this 10% reduction may only be the beginning. AI Replacement Logic: From Contractors to Employees The replacement trajectory revealed by this event is attracting market attention to structural risks for white-collar employment. From Zuckerberg’s statements, one can trace a clear logical chain: AI first replaces external contractors, then employees train the AI, and ultimately, AI replaces the employees themselves. This model is not unique to Meta. As AI capabilities continue to advance, traditional white-collar positions in engineering, product, and data analysis are facing systemic pressure. Meta’s simultaneous layoff and expansion of AI departments, backed by astronomical capital expenditures, provides a benchmark for the industry—investors will see labor efficiency ratios rise continuously in tech companies; for workers, it means the boundaries of job security are being redrawn. Risk Warning and Disclaimer The market involves risk, and investment requires caution. This article does not constitute personal investment advice and does not take into account the special investment objectives, financial situations, or needs of individual users. Users should consider whether any opinions, views, or conclusions in this article suit their specific circumstances. Investments made accordingly are at your own risk.