Goldman Sachs expects Big Tech to spend $1.2 trillion on AI infrastructure by 2027, dwarfing Wall Street estimates
$1.2 trillion. Goldman Sachs just reset the AI infrastructure spending forecast to 2027 — more than 50% above current run rate.
Why it matters
Big Tech's AI capex trajectory is reshaping cloud economics and exposing critical bottlenecks in power, labor, and memory-chip supply. Enterprise buyers and operators need to understand the infrastructure constraints that will shape AI availability and pricing through 2027.
The key facts
5 to knowGoldman Sachs projects $1.2 trillion combined AI infrastructure spending by Amazon, Alphabet, Microsoft, Oracle, and Meta in 2027
Spending increases more than 50% from 2026 levels
Equivalent to the largest investment cycle since 19th-century railroad construction when measured against GDP
Identified bottlenecks: power, labor, and memory chips
Forecast dwarfs previous Wall Street estimates
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: Goldman Sachs projects that Amazon, Alphabet, Microsoft, Oracle, and Meta will pour a combined $1.2 trillion into AI infrastructure in 2027, more than 50 percent above this year's levels. Measured against GDP, it would be the biggest investment cycle since railroad construction in the 19th century.…