AI bubble concerns spread to credit markets as Treasury yields signal growth worries

Concerns about the AI investment boom are spreading beyond technology stocks into credit markets and the broader economy. A reversal in data-center spending and technology shares could weaken both growth and consumer spending.

In an interview on Mario Nawfal’s X account on November 5, macroeconomic analyst Jeffrey Snider said investors were reassessing whether the AI rally had peaked, while credit markets were showing greater reluctance to accept risk. He argued that credit conditions mattered more to the AI investment cycle than stock prices alone.

Snider said major equity indexes obscured selling pressure beneath the surface, with narrow market participation masking steep losses in individual stocks. Qualcomm, for example, fell 11% despite reporting sound earnings, after issuing a somewhat weaker outlook. He said such reactions showed how heavily valuations depended on companies meeting exceptionally high expectations.

Professional money managers were under pressure to participate in the rally to keep pace with performance, even as confidence in its foundations remained weak, Snider said. Small disappointments could therefore trigger sharp selling as investors considered whether the market had reached a peak. He said signs of a possible bubble unwinding were increasing, but stopped short of declaring that it had burst.

He interpreted the roughly 50-basis-point decline in Treasury yields over five weeks as a signal extending beyond anxiety about semiconductor stocks. Credit investors were becoming less willing to take risks on the same terms as before, he said, while falling Treasury yields reflected demand for safety and greater risk aversion.

Snider identified two channels through which an AI downturn could affect the economy. Data-center construction and related capital spending were among the few sources of growth in the United States and elsewhere, he said. Consumers with substantial technology-stock exposure were also supporting spending, leaving consumption vulnerable if falling share prices reversed the wealth effect associated with the rally.

Persistently high energy prices added pressure on businesses and households. Snider said financially stretched middle-market companies could see higher energy and input costs erode margins and impair debt repayment. Households facing larger energy bills without corresponding gains in employment and income would have less money available for other purchases.

Although higher oil prices could lift consumer inflation initially, Snider argued that the resulting damage to demand could eventually slow price increases. He said Treasury markets were placing greater weight on weakening growth than on sustained inflation, potentially constraining the Federal Reserve’s ability to raise rates. A downturn in AI investment would add another strain to that outlook.