A widely anticipated productivity boom from artificial intelligence may have the opposite effect on interest rates than many investors expect, a top Federal Reserve official warned.
Chicago Federal Reserve President Austan Goolsbee challenged the prevailing view that artificial intelligence will usher in an era of lower interest rates, arguing Friday that widespread expectations of a productivity boom could instead fuel inflation and force the central bank to keep policy tight.
"The bigger the hype, the bigger the concern," Goolsbee said at the Hoover Institution’s annual monetary policy conference. If an expected boom fails to materialize after pulling demand forward, "you can easily get stagflation," he said.
Goolsbee’s comments stand in stark contrast to the disinflationary narrative championed by figures like Kevin Warsh, who is a contender to be the next Fed chair. While proponents argue AI mirrors the 1990s internet boom that helped tame inflation, Goolsbee noted the Fed under Alan Greenspan raised rates six times between 1999 and 2000 as anticipated gains overheated the economy.
The debate injects a new layer of uncertainty into the path of monetary policy, which has held the federal funds rate in a 5.25% to 5.50% range since July 2023. If Goolsbee is right, markets may be mispricing the risk that the AI boom, rather than providing relief, could be the very thing that keeps rates higher for longer.
The Peril of Anticipation
Goolsbee’s core argument hinges on a distinction between surprise productivity gains and widely anticipated ones. When gains are a surprise, as was arguably the case with the internet's initial rollout, they can be disinflationary. But when gains are hyped for years in advance, he argued, the economic effects can flip.
"When gains are widely anticipated, as they are today with enthusiasm reflected across financial markets and corporate balance sheets, households and businesses pull spending and investment forward before the productivity boost arrives," Goolsbee explained. This dynamic, he says, overheats the present economy.
He pointed to survey data from the Federal Reserve of Chicago showing that economists, tech workers, and the public all expect about one percentage point of additional productivity growth annually over the next decade due to AI. This collective belief could already be influencing behavior, with Goolsbee watching for wealth effects from rising asset prices, increased costs for land and chips from a data-center construction boom, and potential declines in labor-force participation.
A Tale of Two Scenarios
The Chicago Fed president’s warning outlines two primary paths, neither of which involves the easy rate cuts investors have hoped for. In the first scenario, the AI boom delivers on its promise. The resulting economic expansion and forward-pulled demand would likely generate inflation, forcing the Fed to maintain or even increase interest rates.
In the second, more perilous scenario, the boom disappoints. If the economy overheats on expectations that are never met, the result is persistent inflation colliding with a sharp economic slowdown—the textbook definition of stagflation.
This view, however, is not universally held within the Fed. Governor Christopher Waller, speaking on the same panel, pushed back, noting that the "wealth effect" channel Goolsbee described has not been a reliable predictor in economic models. Others, like University of Chicago economist Luigi Zingales, suggested that household fears of job losses to AI could prompt higher savings, counteracting the spending impulse. A recent Atlanta Fed analysis also found that AI investment is highly concentrated, with the mean spending across firms being 14 times the median, suggesting the boom is not yet broad-based.
Market Implications
The debate complicates the outlook for investors who have largely bought into the "AI is disinflationary" narrative. That view posits that AI will create efficiencies, reduce costs, and ultimately allow the Fed to lower borrowing costs. Some analyses even suggest AI could lower mortgage rates by compressing the administrative costs and default risks embedded in lending spreads.
Goolsbee’s framework presents a significant challenge to this consensus. It suggests that the very enthusiasm for AI that has propelled markets could be sowing the seeds of its own policy-induced correction. While markets are currently pricing in potential rate cuts later in the year, Goolsbee's logic implies that the bar for such easing may be higher than many believe.
This article is for informational purposes only and does not constitute investment advice.
