Goldman Sachs Projects $1.2 Trillion Big Tech Investment in AI by 2027

Goldman Sachs anticipates that Big Tech will invest $1.2 trillion in AI infrastructure by 2027, a figure significantly higher than Wall Street's consensus estimate of $1.1 trillion. This projection represents a 50 percent increase over the expected $800 billion spending for AI infrastructure in 2026. Ryan Hammond, a strategist at Goldman Sachs, noted that this investment cycle would be the largest since the railroad construction boom in the 19th century.

To support this massive investment, an annual AI revenue of $300 billion will be necessary to recoup costs. The growth trajectory for cloud revenue is also notable, with a projected 25 percent increase in 2024, accelerating to 54 percent growth in 2027. In Q2 2026 alone, cloud revenue is expected to grow by 48 percent.

Goldman Sachs has previously indicated that current earnings from AI initiatives still fall short of expectations, and potential bottlenecks in power, labor, and memory chips could further hinder progress. This follows their June 2026 assessment that Wall Street's estimates were too conservative, signaling a shift in the financial landscape surrounding AI investments.