Big Tech Firms Commit $725 Billion to AI Infrastructure While Cutting Tens of Thousands of Jobs
Meta, Amazon, Microsoft, and Alphabet have collectively committed about $725 billion in capital spending for 2026, mostly for AI data centers, chips, and models. That is a 75 percent increase from the previous year. At the same time, the companies are cutting tens of thousands of workers, signaling a shift from payroll to computing power.
Meta, Amazon, Microsoft, and Alphabet have collectively earmarked about $725 billion in capital spending for 2026, a 75 percent increase from the year before. Most of the money is going toward AI data centers, custom chips, graphics processing units, and AI model development.
At the same time, the companies are cutting their workforces. Meta plans to lay off 8,000 workers in May. Amazon is cutting 30,000 roles. Microsoft is offering buyouts to 125,000 employees.
The pattern reflects a deliberate shift in how these companies allocate resources. They are spending less on human labor and more on computing infrastructure.
Nvidia is investing billions in data center capacity, including a $2.1 billion deal with IREN for up to 5 gigawatts of data center space. The company is also pouring money into optical fiber networks.
OpenAI is working to build custom AI chips with Broadcom but faces an $18 billion financing challenge. The company has also been giving developers access to its Codex coding tools as part of a month-long campaign.
The spending surge is straining the electrical grid. American Electric Power reported that 90 percent of its contracted capacity is now tied to data center customers. The company raised its capital plan to $78 billion to keep up with demand.
Critics warn that the massive federal subsidies flowing to cash-rich AI companies could be inflating a bubble. Experts say the concentration of AI infrastructure in a small number of companies raises questions about competition and accountability.