Goldman Sachs Warns Hyperscaler AI Capex Could Hit $1.1 Trillion by 2027, Hidden by Off-Balance Sheet SPVs
By
Tyler Durden
Summary
Goldman Sachs released a report challenging consensus estimates for hyperscaler capital expenditure by 2027. While analysts predict $920 billion in hyperscaler capex (decelerating to 22% growth), Goldman estimates it could reach $1.1 trillion (45% growth) if investment mirrors historical infrastructure build-outs like railroads and autos at 2-3% of GDP. The article also warns that hyperscalers are using special purpose vehicles (SPVs) to obscure the true scale of their financial commitments to AI infrastructure, suggesting headline capex figures significantly understate the economic exposure.
Source
Key quotes
· 3 pulledconsensus 2027 hyperscaler capex estimates are too conservative
if incremental investment reaches 2-3% of GDP, similar to the build-out of railroads and autos, hyperscaler capex would reach roughly $1.1 trillion in 2027 (45% growth)
Hyperscalers are using creative SPVs to hide the commitment of spending ahead of demonstrated monetization
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