Here’s how much the AI boom is contributing to inflation, according to Goldman Sachs calculations

Goldman Sachs economists have attempted to quantify how much of recent inflation can be attributed to the AI boom, offering a framework for separating technology-driven demand from other price pressures in the economy. The analysis reflects a broader debate among economists about whether the rapid buildout of AI infrastructure — data centers, chips, and energy capacity — is adding to inflation or mainly reshaping where price growth appears.

The distinction matters for markets because it feeds directly into expectations for interest-rate policy. If AI-related spending is judged a meaningful contributor to inflation, central banks may have less room to ease than investors hope. If its effect is modest or concentrated in specific sectors, policymakers may look through it.

What to watch: upcoming inflation readings, particularly in energy and construction-linked categories, along with further sell-side research refining these estimates. The key question is not whether AI spending is large, but how much of it ultimately passes through to consumer prices.