The U.S. Federal Reserve faces a complex challenge as it attempts to control inflation amid a surge in artificial intelligence (A.I.) investments that are largely unaffected by rising interest rates. Despite borrowing costs reaching multidecade highs and escalating expenses for electricity and memory, companies continue to aggressively expand their A.I. infrastructure, complicating the Fed’s efforts to slow economic growth and ease price pressures.

The A.I. sector’s rapid expansion is so significant that it rivals government expenditures on national defense or healthcare. Economist Stijn Van Nieuwerburgh of Columbia University estimates that investment in A.I.-related chips, data centers, and power systems could exceed $10 trillion between 2025 and 2032, representing more than 3.6% of annual U.S. economic output. According to Van Nieuwerburgh, bottlenecks such as regulatory delays and power availability are currently the primary constraints on data center construction, rather than costs. Once projects receive the necessary approvals, companies proceed regardless of expenses.

This resilience in A.I. spending suggests that conventional monetary policy tools may be less effective in curbing growth in this sector. Ajay Rajadhyaksha, global chairman of research at Barclays, noted that traditionally, housing and other rate-sensitive industries slow down when interest rates rise, which then cools the broader economy. However, with A.I. investment largely impervious to these rate increases, the Fed may need to impose stricter measures on other sectors more sensitive to borrowing costs, such as housing and automotive, which could translate into job losses and heightened economic strain.

Housing, typically among the most rate-sensitive industries, was already weak before mortgage rates climbed to their highest levels in three years last week. Residential construction remains below pre-pandemic levels when adjusted for inflation, raising doubts about the effectiveness of further rate hikes in slowing the housing market. Nathan Sheets, global chief economist at Citigroup, pointed to the large share of homeowners locked into low mortgage rates from several years ago as a factor limiting mobility and housing activity.

The construction industry is reallocating resources toward data center projects, with spending on these facilities reaching an annual rate of $85 billion in August, more than double that of two years prior. This shift contributes to rising costs for materials like aluminum and copper and drives up labor expenses, exacerbating inflationary pressures.

The broader consumer landscape reflects uneven impacts from interest rate increases. Higher monthly payments on automobile loans and credit card debt are straining lower-income households, while consumer spending remains strong among wealthier Americans, boosted by a robust stock market rally led by A.I.-focused companies. Some Fed officials, including former chairman Kevin M. Warsh, have expressed optimism that A.I. could eventually enhance productivity and help contain inflation over the long term, but its immediate effect appears to be inflationary.

Analysts suggest the Fed may need to apply more aggressive tightening, potentially dampening equity markets to impact CEO confidence and induce broader economic cooling. Tiffany Wilding, an economist at PIMCO, warned that a decline in stock prices could prompt business leaders to reduce staffing, thereby tightening the labor market.

As the central bank navigates this complex environment, it faces the difficult task of managing inflation without disproportionately harming rate-sensitive sectors, all while contending with external pressures such as geopolitical tensions that continue to influence energy and commodity prices.