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News

Goldman sees a $1.2T tab for the 2027 AI buildout

Five hyperscalers will outspend Wall Street consensus by $100B, according to a forecast that leans on debt to close the gap.

AIWadmin
Last updated: September 28, 2026 12:57 pm
AIWadmin
ByAIWadmin
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Five companies would carry a $1.2 trillion tab next year under Goldman Sachs’ forecast. Amazon, Alphabet, Microsoft, Oracle and Meta are the group. Bloomberg carried the projection, attributing it to strategist Ryan Hammond, and noted that it sits above the roughly $1.1 trillion consensus. Set against this year’s expected $800 billion or so, that is growth of more than 50 percent.

The size is not what stands out; the trajectory is. Outlays roughly double this year before decelerating hard, cooling to a 54 percent rise in 2027 and 12 percent in 2028. Recovering that money would take something like $300 billion a year in AI revenue.

Cloud growth offers the closest read on whether the revenue arrives. That figure climbed from 25 percent in 2024 to 48 percent in the second quarter of 2026. The gap between the two curves is what pushes these companies past what their operations generate and toward debt markets.

Three bottlenecks could slow the schedule, per Goldman: electricity, skilled labor and memory chip supply. Measured against GDP, the firm calls this the largest investment cycle since 19th-century railroad construction.

Goldman’s own June research had made the same point: the consensus figures were set too low. The new number widens the distance between what the industry is building and what it has sold.

TAGGED:AI InfrastructureCapital spendingData CentersenergyGoldman SachsHyperscalers
SOURCES:The Decoder
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