Meta Platforms is reportedly preparing for a significant workforce reduction, with a first wave of layoffs set to begin on May 20, 2026. This move, driven by the company’s massive pivot toward artificial intelligence and the associated infrastructure costs, could eventually see Meta’s total headcount shrink by as much as 20%. As CEO Mark Zuckerberg doubles down on “Meta Superintelligence” and the Llama 4 models, the company is restructuring to prioritize AI-assisted productivity over traditional roles.
The May 20 Layoff Wave: 8,000 Jobs at Risk
The upcoming layoff wave on May 20 is expected to affect approximately 8,000 employees, representing roughly 10% of Meta’s global workforce. This initial round of cuts is part of a broader restructuring plan that has been in development since early 2026. While Meta reported a total of 78,865 employees at the end of 2025, the company’s “Year of Efficiency” seems to have evolved into a permanent strategy of lean operations and AI-driven automation.
Reports indicate that the layoffs will be widespread but will particularly target middle management, sales, and recruiting departments. The goal is to flatten the organizational structure, a recurring theme in Zuckerberg’s recent management philosophy. By reducing the number of management layers, Meta aims to speed up decision-making and reallocate resources toward its most critical technical projects.
AI Infrastructure Costs: The $600 Billion Pivot
The primary driver behind these layoffs is the staggering cost of Meta’s AI ambitions. The company has accelerated its capital expenditure (Capex) on AI infrastructure, with some reports suggesting planned spending of up to $600 billion on data centers and specialized hardware by 2028. This massive investment is necessary to support the development of “Meta Superintelligence” and the next generation of Llama models, which Zuckerberg believes will be the foundation of the company’s future.
CFO Susan Li has emphasized the need to defend operating margins as these infrastructure costs mount. By reducing headcount in non-AI-adjacent roles, Meta hopes to offset the increased depreciation and operating expenses associated with its new data centers. The company is essentially trading human capital for compute power, betting that AI-assisted workers will eventually be able to achieve results that previously required much larger teams.
Departments Affected: Reality Labs and Beyond
While the May 20 layoffs are the most immediate concern, they are not the only cuts Meta has made this year. Reality Labs, the division responsible for the metaverse and augmented reality, has continued to see ongoing reductions. Despite the shift in focus toward AI, Zuckerberg has not abandoned the metaverse, but the division is being forced to operate more efficiently as the company’s priorities shift.
General administration and other non-technical roles are also at high risk. Meta is increasingly looking to replace traditional administrative functions with AI-focused tools and workflows. This transition is part of a broader trend in the tech industry, where companies are leveraging their own AI breakthroughs to streamline internal operations. For more on how AI is reshaping the workforce, you can read about how to build your own autonomous AI employee.
What’s Next: A Second Wave in Late 2026?
The May 20 layoffs may only be the beginning. Internal documents and reports suggest that a second wave of layoffs is planned for the second half of 2026. While the specific numbers and dates for this second round have not been finalized, the total headcount reduction for the year could reach 20% or more. This would represent one of the most significant restructurings in the history of the social media giant.
As Meta continues its transformation into an AI-first company, the human cost of this pivot is becoming increasingly clear. For the employees who remain, the work environment is likely to become even more focused on AI integration and efficiency. The success of this strategy will depend on whether Meta’s AI investments can truly deliver the productivity gains that Zuckerberg is banking on. For further context on the global AI race, see the Stanford HAI 2026 AI Index.
Source: Reuters
