Meta Platforms is reportedly considering significant layoffs that could affect more than 20% of its workforce as the company increases investment in artificial intelligence infrastructure. The development was first reported by Reuters, citing sources familiar with internal discussions.
Following the report, Meta’s shares rose more than 3% in premarket trading at 05:18 ET, reflecting investor optimism that cost-cutting measures could help offset rising AI expenses.
Meta Evaluates Workforce Reduction to Support AI Investments
According to the report, the potential job cuts have not yet been finalized and no specific timeline has been established. However, senior executives have already begun informing company leaders to prepare potential restructuring plans.
The proposed layoffs are intended to help balance the growing costs associated with building advanced AI infrastructure while also improving efficiency through the use of AI-assisted productivity tools.
If Meta ultimately proceeds with workforce reductions of around 20%, it would represent the company’s largest round of layoffs since its major restructuring during 2022 and early 2023, a period CEO Mark Zuckerberg previously described as the company’s “year of efficiency.”
Meta had approximately 79,000 employees at the end of last year, meaning the potential cuts could impact a significant portion of its workforce.
Meta Expands AI Strategy and Talent Recruitment
The restructuring discussions come as Zuckerberg pushes Meta to compete more aggressively in the fast-growing generative AI market.
To accelerate its AI ambitions, Meta has been offering extremely competitive compensation packages to attract leading researchers. Some offers reportedly reach hundreds of millions of dollars over four years for top AI talent joining the company’s new superintelligence research team.
Meta has also announced plans to invest up to $600 billion by 2028 to build large-scale data centers capable of supporting its AI ecosystem.
In addition, the company has been pursuing acquisitions and strategic deals to strengthen its AI capabilities. These include the purchase of Moltbook, a social networking platform designed for AI agents, and plans to spend at least $2 billion to acquire Chinese AI startup Manus, according to earlier reports.
Analysts Highlight Cost Pressures and Efficiency Gains
Market analysts say the potential layoffs illustrate the increasing costs associated with the global AI race but also reflect the productivity gains AI can bring to technology companies.
Justin Post, an analyst at Bank of America, said the report highlights both the financial burden of AI infrastructure and the efficiency benefits it could deliver, particularly for research-driven companies.
Post estimates that reducing Meta’s workforce by roughly one-fifth could generate $7 billion to $8 billion in annual savings, assuming an average employee cost of around $500,000 per year.
Despite these potential savings, he noted that Meta is unlikely to significantly revise its 2026 expense guidance of $162 billion to $169 billion, though the move would signal stronger cost discipline.
Similarly, JPMorgan analyst Doug Anmuth estimates that a 20% reduction in staff could save approximately $5 billion to $6 billion annually, assuming employee costs between $300,000 and $400,000 per worker.
However, he emphasized that these savings would still represent a relatively modest offset compared with Meta’s rapidly increasing spending on AI infrastructure and depreciation costs.
Anmuth added that if the projected $6 billion in savings were reflected in Meta’s 2027 profits, it could increase earnings per share by roughly $2 above his current forecast of $31.50 in GAAP EPS.
AI Productivity Gains Could Reshape Tech Industry
Analysts also believe Meta’s reported restructuring could signal broader changes across the technology sector.
Jefferies analyst Brent Thill said a workforce reduction of this scale would demonstrate that artificial intelligence is already delivering measurable productivity improvements.
He added that the development could encourage investors to rethink the relationship between employee headcount, company growth and profitability across the broader technology and software industries.
