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2d ago

Goldman Sachs projects AI infrastructure spending by top US hyperscalers to reach $1.2 trillion

Sep 25, 2026
AI Summary

Goldman Sachs forecasts that the five largest US hyperscalers will increase their AI infrastructure spending by over 50% to $1.2 trillion next year. This estimate surpasses the Wall Street consensus of $1.1 trillion for 2027, indicating a significant investment trend in AI technology.

  • Goldman Sachs projects a 50% increase in AI infrastructure spending by the five largest US hyperscalers, reaching $1.2 trillion next year.
  • This forecast exceeds the Wall Street consensus estimate of $1.1 trillion in capital expenditures for 2027.
  • To justify these investments, the companies would need to generate approximately $300 billion in annual AI revenues in the coming years.
hyperscalersai infrastructurecapital expendituregoldman sachsmarket trends