WASHINGTON — The rapid expansion of artificial intelligence is adding to inflationary pressures across the U.S. economy by driving heavy investment in data centers, semiconductors and electricity infrastructure, prompting analysts and policymakers to warn that the technology boom is creating near-term economic strains even as it is expected to support longer-term productivity gains.
The Federal Reserve said in its monetary policy report to Congress released on Friday that inflation has been pushed higher by several factors, including tariffs, geopolitical developments and a surge in AI-related investment. The report said economic growth has remained moderate, supported in part by spending on AI infrastructure, while inflation continues to run well above the central bank's 2% target.
Economists say the scale of investment required to support AI has intensified demand for computer chips, software and electricity, contributing to higher costs across parts of the economy. Analysts at Goldman Sachs said the United States is likely to experience the largest inflationary effects among major developed economies because of the country's concentration of AI investment and data-center construction.
According to the firm's analysis, rising memory-chip prices, more expensive AI-enabled software and increasing electricity costs are among the principal channels through which AI is adding to inflation. Goldman Sachs said it still expects AI to become a disinflationary force over the longer term as productivity improves, although the transition could take years.
Federal Reserve Bank of New York President John Williams said this week that AI-driven demand has become one of his main inflation concerns. Speaking at a public event, Williams said persistent demand generated by AI investment could require a monetary policy response if it keeps inflation above the central bank's baseline expectations.
The technology boom is also placing growing pressure on the U.S. power system. Utilities have reported shortages of transformers and other grid equipment as developers race to build new data centers, with some components facing lead times of more than three years. Industry officials say utilities are increasingly placing equipment orders years in advance while regulators seek to accelerate grid connections for large facilities.
Energy experts have cautioned that AI-related electricity demand is becoming a major planning challenge for utilities, although researchers note that rising power prices reflect multiple factors, including aging infrastructure, broader electrification and grid investment rather than AI alone.
Despite the near-term inflationary pressures, economists broadly expect AI to remain an important driver of U.S. investment and productivity growth. The Federal Reserve has maintained that future policy decisions will depend on incoming economic data as officials continue to assess whether stronger AI-driven demand proves temporary or persistent.
