Meta is reportedly considering a massive reduction in its global workforce, with potential Meta layoffs affecting up to 20% of its staff to offset unprecedented spending on artificial intelligence infrastructure . Shares of the technology giant rose by nearly 3% in premarket trading on March 16 following the news, reflecting investor optimism about the company’s efforts to balance its aggressive AI expansion with strategic cost-cutting measures .
If the social media parent company proceeds with this plan, it would mark its highest staff reduction since its major restructuring efforts began . The dual approach of heavy capital expenditure and sweeping workforce reductions highlights a critical shift in the broader technology sector, where companies are increasingly prioritizing artificial intelligence infrastructure over workforce stability .
Workforce Reductions and Financial Reallocation
Based on Meta’s global headcount of approximately 79,000 employees at the end of December 2025, a 20% cut would eliminate nearly 15,800 positions . This proposed reduction would easily surpass the 11,000 jobs cut in late 2022 and the additional 10,000 roles eliminated in the first quarter of 2023 . The company also previously reduced its headcount in early 2025 by laying off 5% of its global staff, or roughly 3,600 people, while specifically targeting what it called its lowest performers .
When asked about the reported job cuts, a Meta spokesperson declined to verify the specifics, stating only that the news is a speculative report about theoretical approaches . However, the prospect of billions of dollars in savings has rapidly shifted market sentiment . Before the March 16 premarket rally, Meta’s stock had fallen by as much as 23% from its August peak leading up to Friday, March 13, driven heavily by concerns over its delayed AI projects .
Massive Investments in AI Compute and Data Centers
The reported layoffs arrive as Meta rapidly scales its investments in data centers, cloud computing capacity, and advanced hardware . According to financial projections, the company expects its capital expenditure for 2026 to land between $115 billion and $135 billion . Some reports indicate this spending limit could reach up to $135 billion, representing the largest single-year AI investment ever announced by a technology firm . This 2026 budget marks a 259% increase in capital expenditures since 2022 . Over the longer term, Meta has committed to investing a staggering $600 billion in United States infrastructure and jobs by 2028 .
To support this immense technical buildout, Meta recently entered into a five-year artificial intelligence infrastructure agreement with cloud provider Nebius Group worth up to $27 billion . This monumental deal includes $12 billion in dedicated computing capacity and up to $15 billion in additional available compute power, featuring large-scale deployments of Nvidia’s Vera Rubin chips . The agreement builds upon a prior $3 billion contract signed between Meta and Nebius last year .
This external infrastructure expansion complements several other massive financial commitments . Four months prior, Meta struck a $14.2 billion deal with CoreWeave for cloud computing power . In February, the company also secured a multi-year chip deal with Nvidia expected to cost billions of dollars . Furthermore, a separate $10 billion arrangement with Google for cloud services is currently being speculated in the market .
Strategic Acquisitions and Product Delays
Meta is leaning heavily on its highly profitable advertising business to fund this competitive technology race . The company aims to utilize its expanded computing power to improve ad targeting, measurement, and AI-powered campaign tools . To bolster its capabilities, Meta recently spent $3 billion to acquire Manus, a Chinese-founded artificial intelligence start-up . Earlier this month, the company also purchased Moltbook, a viral social platform for AI bots, for an undisclosed amount .
Despite locking in tens of billions of dollars in computing capacity, Meta has faced challenges in its development timeline . The company recently delayed the launch of Avocado, a highly anticipated major artificial intelligence model . This delay signals that product development may not be moving as quickly as the company’s spending, increasing the pressure to deliver revenue and efficiency gains to justify the massive hardware costs .
Industry-Wide Trend of AI-Driven Restructuring
Meta’s strategy reflects a wider shift across the global technology landscape . Since November, technology firms have announced more than 61,000 job cuts tied directly to artificial intelligence . Major corporations, including Amazon and WiseTech, are similarly restructuring their workforces to accommodate new technological priorities .
This trend has sparked intense debate regarding the role of automation in corporate staffing . Several technology executives have attributed the recent wave of job reductions to the productivity gains provided by modern AI tools . Conversely, some industry leaders suggest that companies might be using the transition to artificial intelligence as a convenient rationale for eliminating positions that were created during periods of aggressive overhiring in previous years .
