Microsoft Offers Historic Buyouts to 7% of US Workforce as AI Automation Triggers Deepest Big Tech Restructuring in Company History

Microsoft has taken a step it has never taken in its 51-year history, offering voluntary buyouts to approximately 7 percent of its United States workforce as the company restructures around artificial intelligence and seeks to control costs in the face of massive AI infrastructure spending. The announcement, confirmed by company sources and reported by CNBC, comes just days after Meta confirmed it will cut 10 percent of its global workforce. Together, the two announcements signal that the AI-driven transformation of Big Tech is now reshaping the workforce in ways that were previously theoretical.

Microsoft declined to specify the exact number of employees eligible for the buyout program, but with the company employing roughly 228,000 people worldwide, a 7 percent reduction of its US workforce would affect many thousands of workers. Unlike the forced layoffs at Meta, which will begin taking effect May 20 whether affected employees accept them or not, Microsoft’s buyout program offers employees the choice to leave with a financial package. That distinction matters in human terms, even if the underlying economic logic driving both decisions is identical.

That logic is straightforward and stark. Amazon, Google, Meta, and Microsoft together are spending approximately $650 billion on capital expenditures in 2026, almost entirely directed at artificial intelligence data centers, processing chips, and model development. This is not discretionary spending on the margins of the business. It is the core bet each company is making about where economic value in the technology sector will come from in the next decade. Paying for that bet requires redirecting resources away from human labor and toward AI infrastructure.

Microsoft CEO Satya Nadella has spoken publicly about the transformative potential of AI tools that can handle tasks previously requiring teams of engineers, writers, analysts, and customer service representatives. The company has integrated its Copilot AI system across the entire Microsoft Office and Azure product suite, and early data indicates significant productivity gains in certain task categories. Those productivity gains are now being used to justify reducing the headcount needed to maintain and develop those same products.

The impact on Microsoft’s stock has been notable. Shares fell approximately 4 percent on Thursday before recovering slightly on Friday. The stock is down roughly 15 percent for the year, making it an underperformer among the Magnificent Seven technology leaders despite the company’s genuine AI leadership position. Markets appear uncertain whether the restructuring represents a confident strategic move that will generate long-term returns or a sign of deeper stress within the business.

Microsoft is also navigating the immigration policy consequences of its workforce changes. A significant portion of the company’s American workforce holds H-1B visas, particularly in engineering, research, and data science roles. Workers on these visas whose positions are eliminated through the buyout program face the same race against immigration deadlines as their counterparts at Meta. The company has indicated it will provide support services, but immigration advocates note that institutional support can only go so far within a system that inherently disadvantages visa holders in the event of job loss.

The broader pattern across the technology industry is becoming clear. According to InformationWeek’s tracker, nearly 245,000 tech jobs were eliminated globally in 2025. AI was directly responsible for an estimated 55,000 of those cuts in the United States alone. In 2026, with AI capabilities expanding and enterprise adoption accelerating, the pressure on tech employment is intensifying rather than easing. A survey by Resume.org found that 55 percent of US hiring managers expect layoffs in 2026, with 44 percent specifically identifying AI as the top driver.

For workers outside the technology industry, these developments carry a warning about what is coming. AI automation is currently concentrated in knowledge work and certain professional services, but its trajectory is clearly toward broader sectors including finance, healthcare administration, legal services, and education. The restructuring happening at Microsoft and Meta today is a preview of workforce disruptions that will affect far more industries in the coming years.

Congress has begun to grapple with the policy implications, but legislation moves slowly and the AI transformation is moving fast. Proposals for retraining funds, portable benefits not tied to specific employers, and expanded social safety nets have been introduced but face significant political obstacles. Meanwhile, the companies driving the transformation continue to spend hundreds of billions of dollars accelerating it, betting that the economic gains from AI productivity will eventually justify the human costs of the transition.