Meta is preparing sweeping layoffs that could affect up to 20 percent of its roughly 79,000 employees — approximately 16,000 people — as the company accelerates AI infrastructure spending to a projected $135 billion for 2026 alone. The cuts would surpass both the 11,000 layoffs in 2022 and the 10,000 in 2023.
Reuters broke the story on Friday, citing internal sources who say managers have already been asked to draw up cost-cutting plans. An announcement is expected within the month.
The spending figures tell the story of where the savings are being redirected. Meta recently signed a $60 billion AI chip agreement with AMD, acquired AI agent platform Manus for $2-3 billion, invested $14 billion in Scale AI, and last week acquired Moltbook — an AI agent social platform.
CEO Mark Zuckerberg is betting that AI can automate or augment enough of the work humans currently do to justify the reduction in headcount. The $135 billion AI infrastructure budget for 2026 approaches the company's entire 2024 revenue of approximately $164 billion.
The acquisition of Scale AI included bringing founder Alexandr Wang in to lead Meta's Superintelligence Labs, signalling an aggressive push toward artificial general intelligence research.
Analysis
Why This Matters
This is the clearest signal yet that Big Tech views AI investment and human headcount as a direct trade-off. Meta is not cutting costs to improve margins — it is reallocating human capital expenditure into compute capital expenditure.
Background
Meta has been through two previous rounds of mass layoffs during its 'year of efficiency' in 2022-2023. This third round would be the largest yet and comes during a period of strong revenue growth, making it distinct from the earlier cuts which were framed as pandemic-era corrections.
Key Perspectives
The scale of spending — $135 billion in a single year on AI infrastructure — raises questions about whether any company can sustain this level of capital expenditure even with advertising revenues.
What to Watch
Whether other tech giants follow with similar restructurings. Google, Amazon, and Microsoft have all signalled massive AI spending increases. If Meta's headcount-for-compute trade proves successful, expect the pattern to accelerate.