Hyperscalers Commit $630 Billion to AI Infrastructure in 2026

Major tech companies plan at least $630 billion in capital spending this year, mostly on data centers and processors. Unlike past hardware cycles driven by single applications with ceiling demand, this spending targets multiple workloads simultaneously—training, inference, and real-time simulation—each resource-intensive with no clear saturation point. The scale matters because it underwrite demand for chip makers like Nvidia and cascades into supplier categories from cooling to interconnect.