Financial News from The Finance Reveal, updated July 24, 2026. This article is general information, not investment advice.

The artificial-intelligence boom began as a stock market story. It is quietly becoming a bond market story, and that shift has consequences for people who own no technology shares at all.

The six largest AI infrastructure spenders have issued a combined $244 billion in bonds this year, more than double last year’s total and many times the level of 2024, according to figures cited by Goldman Sachs. AI-related borrowing now accounts for roughly a quarter of US investment-grade bond issuance and about a fifth of high-yield supply. One projection puts total AI-related debt issuance near $570 billion globally for 2026.

Why Data Centers Are Being Financed With Debt

The reason is arithmetic. Data centers, chips, power connections, and cooling systems cost more than even the most profitable technology companies generate in cash, and the build-out is running faster than earnings can fund it. One estimate puts global data-center investment through 2028 near $2.9 trillion against roughly $1.4 trillion that big technology cash flow can cover, leaving a funding gap that has to come from somewhere.

Increasingly it comes from complex places. Alongside ordinary corporate bonds, financing is flowing through private credit, project finance, securitized loan pools, and joint ventures that keep much of the debt off the borrower’s own balance sheet. Utilities are borrowing heavily too, to build the power capacity these facilities require. The International Monetary Fund has flagged a specific worry: a potential mismatch between how long the debt lasts and how long the assets hold their value, since chips and data centers can depreciate faster than the loans against them are repaid.

Credit markets have begun to react. Default-insurance costs for some large technology borrowers have widened more than the broader market, and bond investors have grown pickier as the supply keeps coming. None of this signals a crisis. It signals that lenders, unlike stock investors, are pricing the possibility that the payoff arrives later than promised.

It is worth saying plainly that borrowing to build is not inherently reckless. Railroads, electrical grids, and telephone networks were all financed with enormous debt, and the assets outlasted the loans. The question is never whether debt is used, but whether the revenue shows up before the interest payments become painful, and that timing is precisely what no one can yet confirm.

Why It Matters for You

Here is the part that reaches ordinary portfolios. Broad bond index funds hold what the market issues, so as AI-related borrowers become a larger share of the investment-grade universe, they become a larger share of the bond fund inside a retirement account, without anyone choosing that. AI-linked issuers now make up a meaningful slice of major investment-grade indexes.

The uncomfortable implication is a loss of diversification. Many people hold stock funds heavy in AI-related companies and bond funds meant to balance them, the classic pairing our guide to stocks versus bonds describes. If both sides of the portfolio increasingly depend on the same handful of companies and the same bet on AI demand, the bonds provide less of the ballast they are supposed to provide.

This does not call for dramatic action, and selling bond funds over a trend story would be a mistake. It does argue for knowing what you actually own, checking whether your overall mix still reflects the balance you intended, the exercise our guide to asset allocation lays out. The heaviest borrowing is also concentrated in the largest, most cash-rich companies, which is genuinely reassuring; the strain sits further down the chain, among smaller players and off-balance-sheet vehicles that are hardest to see. That opacity, more than any single number, is the real risk worth watching.

This article is general information, not investment advice. For more coverage, visit our Financial News section.