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 traced to the artificial-intelligence boom. Rather than treating AI as a purely disinflationary force—as it may prove over time through productivity gains—the analysis suggests the buildout itself carries near-term price pressure.

The mechanism is fairly intuitive. Data centers, advanced chips, and the electricity to run them require enormous capital investment, and that spending lifts demand for construction materials, specialized labor, and power before any efficiency benefits materialize. In that sense, the AI investment cycle behaves like any other demand shock: it raises prices in the sectors it touches most directly.

For markets, the takeaway is that AI's economic footprint is now large enough to register in macro data, not just in equity narratives. What to watch: whether these price pressures prove transient as capacity comes online, or whether they persist in energy and input costs. That distinction matters for how central banks interpret inflation, and for how investors weigh the technology's long-run payoff against its shorter-term costs.