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Business
Apr 24, 2026
Analyzed by GPT OSS 120B

Microsoft and Meta Slash Thousands of Jobs as AI Spending Soars

AI Summary
Meta will cut about 8,000 jobs, roughly 10% of its workforce, while Microsoft is offering voluntary retirement to around 7% of its U.S. staff—about 8,000 employees. Both moves coincide with massive AI budgets of $115‑$135 bn at Meta and $100‑$120 bn at Microsoft, underscoring a strategic shift toward AI‑driven productivity and restructuring.

Massive Workforce Cuts at Meta and Microsoft Amid AI Spending Surge

In a coordinated wave of cost‑cutting, Meta and Microsoft announced layoffs and voluntary retirement offers affecting thousands of employees as they pour unprecedented capital into artificial intelligence.

Details of the Layoff Plans and Voluntary Retirement Offers

  • Meta: On 20 May 2026 the company disclosed a 10% reduction—just under 8,000 positions—and the closure of about 6,000 open roles.
  • Microsoft: Employees were told that a voluntary retirement program targets roughly 7% of its American workforce (about 8,000 staff) whose combined age and tenure total 70 or more years.
  • Both firms emphasized generous severance packages and framed the cuts as a way to “offset the other investments we’re making.”

Financial Scale of AI Investments and Workforce Reductions

  • Meta plans to spend between $115 bn and $135 bn on AI in the coming fiscal year, nearly double its prior year’s capital expenditure.
  • Microsoft previously forecast a $100 bn AI infrastructure spend for FY2026; analysts now project the figure could rise to $110‑$120 bn.
  • Both companies cite AI as a productivity engine: Satya Nadella claims AI now handles up to 30% of Microsoft’s coding work, while Mark Zuckerberg predicts half of Meta’s development could be AI‑driven within a year.

Implications for the Tech Labor Market and AI Adoption

  • The cuts intensify concerns among tech workers that AI will replace white‑collar roles within the next 12‑18 months, as echoed by Mustafa Suleyman.
  • Employee data‑capture initiatives—such as Meta’s mouse‑movement and keystroke logging—highlight how staff are becoming training data for AI models.
  • Other AI‑heavy firms (Block, Amazon, Oracle) have similarly trimmed staff, suggesting a broader industry pattern of “AI‑first” restructuring.

What the Next Year May Hold for AI‑Driven Restructuring

  • Continued AI budget growth could trigger further voluntary buyouts or targeted layoffs, especially in roles deemed automatable.
  • Companies may increasingly tie severance and retirement incentives to tenure and age metrics, as seen at Microsoft.
  • Productivity gains reported by executives could accelerate AI integration, potentially reshaping hiring standards and skill requirements across the sector.