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Milk Road AI Twitter · Milk Road AI (@MilkRoadAI) · 2026-06-11
Goldman Sachs projects 2027 hyperscaler AI capital expenditures could reach $1.4 trillion, roughly 52% above the Wall Street consensus estimate of $920 billion.
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Extraction
Topics: hyperscaler-capexai-infrastructure-investmentwall-street-estimates
Claims
- Goldman Sachs believes the Wall Street consensus estimate of $920 billion for 2027 hyperscaler capex is too conservative.
- Goldman Sachs projects combined hyperscaler AI capital expenditures could reach $1.4 trillion by 2027.
- The gap between the Street consensus and Goldman's projection represents over 50% upside to current estimates.
Key quotes
Goldman Sachs says Wall Street consensus 2027 hyperscaler Capex estimates are too conservative (Save this).
The consensus lands at $920 billion but Goldman thinks it could reach $1.4 trillion.