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 the recent inflation picture can be traced to the AI boom. The exercise matters because it separates price pressure driven by a structural investment cycle from the more familiar drivers of inflation, such as labor costs and consumer demand. If AI-related spending is lifting prices in specific pockets of the economy, that has implications for how policymakers and investors interpret the inflation data.

The key takeaway is not a single number but a framework: AI investment flows into data centers, power, chips, and specialized labor, and those inputs can tighten in the short run even as the technology promises longer-run efficiency gains. That distinction helps explain why inflation can stay firm while broader demand cools.

What to watch: whether AI-linked price pressure proves temporary or broadens into wages and services, and whether productivity gains eventually offset the upfront costs. For markets, the debate shapes expectations for rate policy and for which sectors absorb the spending.