Chinese Suppliers Eye U.S. Data Centers as AI Spending Forecast Climbs

CNBC reports that Chinese suppliers want a role in the U.S. AI data center boom. [1] Goldman Sachs expects Amazon, Alphabet, Microsoft, Oracle, and Meta to spend a combined $1.2 trillion on AI infrastructure in 2027. [2] The estimate is more than 50% above the roughly $800 billion projected for this year and exceeds Wall Street’s $1.1 trillion consensus. [2] Relative to GDP, Goldman characterized the buildout as the largest investment cycle since 19th-century railroad construction. [2]

The projected spending growth rate falls from nearly 100% in 2026 to 54% in 2027 and 12% in 2028. [2] Goldman estimates the companies would need roughly $300 billion in annual AI revenue to recoup the outlays, while current earnings remain below that level. [2] Cloud revenue growth increased from 25% in 2024 to 48% in the second quarter of 2026, but the source says it remains unclear whether OpenAI and Anthropic are growing revenue quickly enough to justify the investment. [2] Goldman also says spending exceeds cash generated from ongoing operations, implying more debt financing, while power, labor, and memory-chip bottlenecks could slow the buildout. [2]

The scale gap is the central signal: Goldman’s $1.2 trillion estimate sits above both the current-year projection and Wall Street consensus, even as the projected growth rate decelerates. For Amazon, Alphabet, Microsoft, Oracle, and Meta, the forecast frames infrastructure as a shared capital burden rather than a single-company wager. The unresolved revenue test is equally important because spending already exceeds cash generated from ongoing operations. Power, labor, and memory constraints mean financing alone cannot guarantee deployment. What the sources don't address: which Chinese suppliers could participate in U.S. projects, under what rules, or how much projected spending they might capture.