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Snider Links Treasury Yield Slide to AI Financing Risks

He interpreted a roughly 50-basis-point decline over five weeks as a sign of rising risk aversion and concern about weaker growth.

Updated 2 min read
Workers stand near unfinished data center buildings in Ashburn, Virginia. (AI-generated image / EconoTimes)
Workers stand near unfinished data center buildings in Ashburn, Virginia. (AI-generated image / EconoTimes)

Macroeconomic analyst Jeffrey Snider said a five-week slide of roughly 50 basis points in Treasury yields reflected growth worries, adding to questions about financing the artificial intelligence spending boom.

In a Nov. 5 interview on Mario Nawfal’s X account, Snider interpreted the decline as a sign that investors were seeking safety. He argued that the bond market was putting greater weight on weaker growth than on a sustained rise in inflation.

Snider said the terms of credit could shape AI investment more than changes in stock prices. He described data center construction and related spending as important contributors to growth in the United States and other economies. A slowdown in those projects could therefore reach beyond the technology industry, in his view.

Credit concerns have also featured in EconoTimes’ earlier coverage of financing for AI expansion. J.P. Morgan said the cost of debt protection can rise because of hedging demand, new borrowing or uncertainty about financing. A higher cost alone does not predict that a borrower will default.

Snider identified household spending as another possible route for a downturn. Consumers with substantial technology-stock holdings could cut purchases if those shares lose value, he said. Higher energy bills could also leave households with less to spend elsewhere, while rising input costs could squeeze financially strained midsize businesses.

As an example of pressure within the stock market, Snider cited an 11% drop in Qualcomm shares after a softer outlook despite solid earnings. He said broad indexes could conceal losses in individual stocks and that money managers faced pressure to join the rally to match market performance.

Snider viewed a reversal in AI-related markets as a growing risk, not an established outcome.

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