Are Cracks Forming?

By: Russ Kamp, CEO, Ryan ALM, Inc.

On September 30, 2026, I wrote my first post regarding my concerns about capacity within the AI trade, as hyperscalers and other businesses associated with AI and data center buildout were rapidly seeking financing through the credit markets. Since that post, I’ve produced one additional update as well as track daily developments in the credit markets that might impact not only Ryan ALM’s business, but bonds/spreads in general.

I’m taking the time to write today because there has been a meaningful development, and this may be the clearest credit-market warning I’ve seen since I began tracking the AI buildout.

The critical development is CoreWeave’s bond selloff. CoreWeave is a publicly traded cloud-computing company built specifically around GPU-intensive AI workloads rather than the general-purpose cloud model of AWS, Azure or Google Cloud. It provides GPU computing, storage, networking and software used to train and run large AI models.

Here’s the story. CoreWeave issued bonds in June at a yield of roughly 9.7%, which are now yielding around 15%! Reuters describes the move as a test of the market’s willingness to continue financing highly leveraged AI infrastructure and says investors are increasingly questioning whether future cash flows justify the debt required to build it.

And CoreWeave isn’t an isolated indicator. Data-center bonds associated with projects backed by major AI participants, including Meta Platforms, Oracle and Microsoft have fallen below par as investors reassess leverage, project the potential economics of these buildouts, and the enormous amount of financing still required.

Demand for the physical infrastructure remains extremely strong. Schneider Electric reported triple-digit data-center demand growth today and raised its 2026 forecasts again; Q3 organic revenue increased 16.9%. So this is not evidence that demand for AI capacity has suddenly disappeared. It is, however, evidence that investors are becoming less willing to finance that capacity at almost any price, and rightfully so.

For AI equities, I would consider this a genuine warning signal. Companies dependent upon repeated external financing should now be valued very differently from cash-generative hyperscalers. CoreWeave’s shares are down about 15% this week even as the underlying demand story remains strong.

For bonds, we’re seeing the beginnings of exactly the differentiation that we anticipated. A 15% yield represents substantial credit, refinancing, and execution risk. If this repricing spreads from “neoclouds” into SPVs and data-center project debt, the marginal cost of AI capital could rise substantially.

For data-center real estate, this adds a second scarcity test to the one we’ve been discussing. A project increasingly needs both secured power and secured economical financing. Having electricity but needing 12%–15% debt doesn’t necessarily produce an economically viable data center.

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