Meta Plans to Initiate First Round of Large-Scale Layoffs on May 20, Affecting About 8,000 Full-Time Employees, Equivalent to 10% of Global Workforce
Meta plans to initiate its first round of large-scale layoffs on May 20, affecting about 8,000 full-time employees, which is equivalent to 10% of its global workforce.
At the same time, approximately 6,000 open job recruitment plans will be canceled, totaling an impact on about 14,000 positions. This move aims to enhance operational efficiency and free up funds for AI infrastructure investment.
Tech investors are accelerating their purchases of Meta stock, with funds shifting from labor-intensive sectors to AI capital expenditures. The layoffs will directly reduce labor costs, benefiting Meta shareholders and the AI supply chain, while affected employees and middle management positions face pressure.
Source: Public Information
ABAB AI Insight
Meta's significant losses in Reality Labs due to heavy investment in the metaverse during 2022-2023 led to multiple rounds of layoffs, reducing the workforce from a peak of nearly 90,000. This AI-driven efficiency restructuring continues Zuckerberg's strategic shift from "betting on the metaverse" to "going all in on AI". In 2024-2025, hiring has been frozen multiple times and teams optimized on a small scale.
On the capital front, the saved labor costs will be redirected towards data centers, chip procurement, and high salaries for AI talent retention. The strategic motive is to concentrate resources on Llama model training and advertising AI deployment by reducing back-office and non-core roles, maintaining high margins while offsetting substantial capital expenditures.
Similar to Google's layoffs in advertising and cloud business during its AI transformation in 2023-2024, and Microsoft's recent AI restructuring buyout plans, Meta is currently in the later stages of a transition from labor expansion to AI capital intensity among major tech companies, with core product lines increasingly focused on a few high-priority AI projects.
Essentially, this is a technological substitution: AI automation directly replaces repetitive human roles, with the mechanism being rapid iteration of model capabilities that reduces marginal labor demand, forcing traditional tech companies to shift pricing power from the labor market to computing resources and data owners, accelerating the concentration of industry wealth towards AI infrastructure providers and core algorithm holders.
ABAB News · Cognitive Law
Layoffs are not a signal of recession, but rather an inevitable result of AI substitution rates exceeding marginal human productivity. The saved labor costs will ultimately become capital expenditures for purchasing computing power; efficiency will always chase technology. The sooner a company replaces its own workforce with AI, the later it will be replaced by others using AI to replace the entire company.