Goldman Sachs Sees Big Tech AI Infrastructure Spending Hitting $1.2 Trillion by 2027

Goldman Sachs expects Amazon, Alphabet, Microsoft, Oracle, and Meta to spend a combined $1.2 trillion on AI infrastructure in 2027. The estimate is more than 50 percent above the roughly $800 billion projected for this year and above Wall Street’s consensus of $1.1 trillion, according to the article. Relative to GDP, Goldman says the spending wave would be the biggest investment cycle since 19th-century railroad construction.

The article says growth in AI infrastructure spending is expected to slow from nearly 100 percent in 2026 to 54 percent in 2027 and 12 percent in 2028. That still implies a major expansion, but the deceleration matters for investors and companies tracking whether AI demand can keep up with the buildout. The key takeaway: the AI infrastructure race remains enormous, but it may be entering a more measured phase.

Goldman says the companies would need about $300 billion a year in AI revenue to recoup the planned outlays. Current earnings still fall short, while cloud revenue growth rose from 25 percent in 2024 to 48 percent in Q2 2026. The article notes that it remains unclear whether revenue growth at AI labs such as OpenAI and Anthropic is fast enough to justify the infrastructure investment.

Goldman also says spending now exceeds what the companies generate from ongoing operations, pointing to more debt financing. Practical constraints could also slow the pace, especially bottlenecks in power, labor, and memory chips. For readers, the signal is clear: AI infrastructure is becoming a financial, industrial, and supply-chain story—not just a technology story.