Meta Platforms is executing what may be the most dramatic corporate restructuring in Silicon Valley history: eliminating 8,000 employees, reassigning 7,000 more to AI-focused divisions, and raising its 2026 capital expenditure guidance to between $125 billion and $145 billion — nearly double its 2025 spending — all in pursuit of an AI strategy whose direct revenue generation remains unproven.
CEO Mark Zuckerberg announced the layoffs in a global memo on May 20, stating that Meta does not expect further company-wide layoffs this year. The same week, WARN filings with Washington state disclosed that 1,395 employees in the Seattle area — across Bellevue, Seattle, Redmond, and remote positions — would be separated effective July 22. The filings, first reported by GeekWire and Fox Business, confirmed that engineering and product manager roles were hit hardest.
The financial scale of the AI bet is unprecedented. The $125–145 billion capital expenditure will fund data centers, custom semiconductor chips, and model training under Meta Superintelligence Labs. On the Q1 earnings call, Zuckerberg stated that smaller, more efficient teams may be preferable as AI tools change how work gets done.
Meta has also confirmed the existence of the Model Capability Initiative (MCI), a program first reported by Reuters in April, which installs tracking software on U.S. employees’ work laptops. The software captures mouse movements, keystrokes, clicks, and periodic screenshots across a designated list of work applications. The data flows into Meta’s AI training pipeline to teach agents how humans navigate software interfaces. CTO Andrew Bosworth confirmed in writing that there is no opt-out for employees on company-issued devices. More than 1,500 employees signed an internal petition opposing the program, according to reporting by WIRED and Al Jazeera. European employees are exempt under GDPR. A Meta spokesperson stated that MCI data will not be used in performance reviews and that safeguards exist to protect sensitive content.
Wall Street’s response was cautious. Meta shares fell approximately 6% in after-hours trading following the capex guidance increase, with the stock down roughly 7% year-to-date as investors questioned when AI spending would translate into measurable returns.
The restructuring occurs alongside record financial performance. Q1 2026 revenue reached $56.3 billion, up 33% year-over-year, with earnings per share of $10.44 — both all-time highs, though the earnings figure was partly boosted by an $8 billion tax benefit. The juxtaposition of record profits and mass layoffs has intensified scrutiny of whether the AI pivot represents genuine strategic vision or a redirection from a metaverse strategy whose Reality Labs division has accumulated nearly $77 billion in losses through 2025.
What makes Meta’s situation distinct from other Big Tech AI investments is the completeness of the transformation. The company is not merely adding AI features to existing products — it is restructuring the entire organization, flattening management layers, creating new AI divisions, and eliminating open positions. Whether the $145 billion bet pays off remains the central question for investors and the broader technology industry.