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CharlesThomas
CharlesThomas
June 12, 2026

Goldman Sachs warns the market underestimates AI investment, forecasting 2027 data center capital expenditure at $110 billion, potentially $140 billion, versus Wall Street's $92 billion estimate. Driven by enterprise AI agents, global AI token consumption may rise 24-fold by 2030, fueling demand for infrastructure like chips and power. However, risks include resource shortages, uncertain efficiency gains, and overvalued stocks detached from fundamentals.

Goldman Sachs warns the market underestimates AI investment, forecasting 2027 data center capital expenditure at $110 billion, potentially $140 billion, versus Wall Street's $92 billion estimate. Driven by enterprise AI agents, global AI token consumption may rise 24-fold by 2030, fueling demand for infrastructure like chips and power. However, risks include resource shortages, uncertain efficiency gains, and overvalued stocks detached from fundamentals.
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