NEWS · MONEY · #1083
Goldman Sachs forecasts Big Tech will spend $1.2 trillion on AI infrastructure in 2027
Goldman Sachs, via strategist Ryan Hammond cited by Bloomberg, estimates Amazon, Alphabet, Microsoft, Oracle and Meta will spend a combined $1.2 trillion on AI infrastructure in 2027—about 50% above this year's roughly $800 billion and above Wall Street consensus of $1.1 trillion. Goldman warns growth will slow after 2026, that companies may need roughly $300 billion a year in AI revenue to justify the outlays, that current spending already exceeds operating cashflow (implying more debt financing), and that bottlenecks in power, labor and memory chips could constrain the buildout.
KEY POINTS
- Goldman Sachs, via strategist Ryan Hammond cited by Bloomberg, estimates Amazon, Alphabet, Microsoft, Oracle and Meta will spend a combined $1.2 trillion on AI infrastructure in 2027—about 50% above this year's roughly $800 billion and above Wall Street consensus of $1.1 trillion.
- Goldman warns growth will slow after 2026, that companies may need roughly $300 billion a year in AI revenue to justify the outlays, that current spending already exceeds operating cashflow (implying more debt financing), and that bottlenecks in power, labor and memory chips could constrain the buildout.
- If realized, this would be one of the largest capital cycles in modern history, reshaping demand for cloud, chips, power and financing and increasing execution and balance‑sheet risk for major tech firms.
WHY IT MATTERS
If realized, this would be one of the largest capital cycles in modern history, reshaping demand for cloud, chips, power and financing and increasing execution and balance‑sheet risk for major tech firms.