Wall Street used to worry that too much U.S. debt would crowd out the private sector. But AI hyperscalers are ‘reverse crowding’ the Treasury

Among the many potential downsides for letting the national debt get too high was that the federal government would suck up so much capital that businesses wouldn’t be left with enough.

Today, U.S. debt is at $40 trillion, the federal budget deficit is on track to reach $2 trillion this fiscal year, and debt servicing costs alone are $1 trillion a year.

That’s a lot money that the Treasury Department has to raise from the bond market, which is also a key source of financing for corporate giants.

But AI hyperscalers, so far, are still able to issue plenty of their own debt in the mad dash to buy chips, build data centers and lay down other infrastructure.

In fact, even Treasury Secretary Scott Bessent, who has billed himself as America’s top bond salesman, has noted the eagerness with which AI companies are offering debt—no matter the cost of borrowing.

“We are also seeing big corporate issuance.

And a lot of that corporate issuance, I would say, is almost yield-agnostic, because the build-out for AI, the returns on that, the companies believe they’re going to be so high.

They don’t really care what they’re paying,” he said recently.

U.S. investment-grade corporate bond issuance totaled about $1.7 trillion in the year to date through July, about 27% above last year’s pace and on track to exceed $2 trillion for the first time, according to Wall Street veteran Ed Yardeni.

A flood of corporate debt that massive would typically require yields to offer a bigger premium over risk-free bonds in order to attract enough buyers.

But in the case of AI-related bonds, demand has been so high that the yield spread has remained compressed, barely widening for an additional premium, he pointed out in a note on Monday.

“As a result, the market has adjusted not through higher corporate borrowing costs relative to Treasuries but through higher Treasury yields themselves.

Capital flowing into corporate bonds is capital not flowing into Treasuries, and Treasury yields have had to rise to clear the market,” Yardeni explained.

“In short, the AI revolution is producing a classic crowding-out effect, causing Treasury yields to rise.” Higher yields could eventually fuel a feedback loop where rising debt-servicing costs expand deficits further and further add on to the pile of U.S. debt, which in turn pushes yields up further.