Goldman Sachs projects Big Tech (Amazon, Alphabet, Microsoft, Oracle, Meta) will invest $1.2 trillion in AI infrastructure by 2027—50% above 2026 levels and the largest investment cycle since 19th century railroads.

Goldman Sachs expects Amazon, Alphabet, Microsoft, Oracle, and Meta to spend a combined $1.2 trillion on AI infrastructure in 2027, more than 50 percent above the roughly $800 billion projected for this year and exceeding Wall Street's consensus estimate of $1.1 trillion, according to Bloomberg, citing strategist Ryan Hammond. Relative to GDP, this would represent the largest investment cycle since railroad construction in the 19th century.

However, growth rates are decelerating. The year-over-year spending increase is projected to drop from nearly 100 percent in 2026 to 54 percent in 2027 and 12 percent in 2028. To recoup these outlays, the companies would need approximately $300 billion a year in AI revenue. Current earnings still fall short, though cloud revenue growth has accelerated from 25 percent in 2024 to 48 percent in Q2 2026.

A critical question remains: whether revenue growth at AI labs like OpenAI and Anthropic is advancing fast enough to justify these investments. Both companies are central to the market expectations and financial instruments backing the infrastructure buildout.

Goldman Sachs also notes that current spending now exceeds what the companies generate from ongoing operations, requiring increased debt financing. Potential bottlenecks in power, labor, and memory chip production could further slow the buildout. The firm had already warned in June that Wall Street consensus estimates were substantially too low.