AI Data Center Expansion May Raise US Inflation by 2030

Researchers at the Federal Reserve Bank of Dallas estimate that the expansion of data centers to support the artificial intelligence boom could increase annual U.S. inflation by 0.04 to 0.13 percentage points by 2030. This projected increase stems from a surge in construction that drives high demand for electricity, cooling systems, skilled labor, and raw materials such as copper and steel.

These infrastructure requirements may force utility companies to upgrade power grids and substations, with the potential for those costs to be passed on to businesses and households. While the long-term integration of AI may eventually improve business efficiency and lower costs, the immediate demand for physical infrastructure presents a challenge for the Federal Reserve System.

The Dallas Fed suggests these inflationary pressures could complicate the central bank's goal of returning inflation to its 2% target. Such a scenario might necessitate tighter monetary policy and lead to elevated Treasury yields.