AI Debt Concerns Spread to Credit Markets

Credit markets are already signaling some discomfort. The ICE BofA High Yield index spread has widened to about 313 basis points, up from 297 basis points earlier in February, while 10-year Treasury yields are hovering just above 5%. That combination raises the cost of borrowing across the economy, but it bites especially hard for speculative AI firms that are spending heavily before revenue has fully arrived. In plain English: the money is getting more expensive just as the industry is asking for more of it.

The pressure is visible in exchange-traded funds that track corporate credit. HYG, the high-yield bond ETF, has been drifting around $77.43, roughly back to its 50-day moving average and just below its 200-day average, while JNK has slipped to $92.98, also near its 50-day and 200-day moving averages. LQD, which holds investment-grade bonds, has held up better at $104.27 and sits above both of those moving averages, suggesting investors are not abandoning credit altogether — they are becoming more selective about where they are willing to take risk.

That selectivity is the heart of the story for long-term investors. The AI trade has evolved from a simple “buy anything with a data-center narrative” market into one where balance sheets matter. Companies such as Microsoft, Alphabet and Amazon are still leaning hard into AI capital spending, and recent SEC filings show they continue to emphasize access to capital markets and the scale of their commitments. But the more the build-out relies on debt, the more investors will demand proof that future cash flows can support it.

The stakes are broader than one sector. If AI financing becomes more fragile, it could cool the entire market’s appetite for growth stocks, pressure suppliers and cloud builders, and eventually tighten credit conditions for weaker issuers far beyond tech. That is why the market is watching both stock multiples and bond spreads at the same time: the AI story is no longer just about innovation, it is about financing discipline.

For investors, the message is not to flee the theme, but to get more selective. The strongest AI winners will likely be the firms with fortress balance sheets, real free cash flow and the ability to fund expansion without stretching credit too far. The weaker names may still have exciting technology, but if their growth depends on ever-cheaper financing, that advantage may prove temporary. In a market like this, patience and diversification still win — and the companies that can grow without overreaching deserve the closest look.