Comment by CoolestBeans

Its bad if the expected demand is an illusion. For example, when a company builds out a data center they don't build it for demand today, they build it for the demand they expect when the data center is running and for how much they expect demand to grow over the lifetime of the data center (this is a simplification, they build a financial model of how they can grow capacity as demand increases over the lifetime of the data center). If the demand is lower than expected then the counterparty cannot spend that Y amount back. In other words, Nvidia now holds bad debt (really worthless equity since these aren't loans on paper). Furthermore, Nvidia has been making the same bet with multiple companies. That Y amount the counterparty can't pay back is probably correlated with all of the counterparties Nvidia lent X amount to. Suddenly this circular flywheel begins operating in reverse. Now Nvidia has no X amounts to lend to AI companies which makes their ability to pay back Nvidia worse which means Nvidia has less money to lend out and on and on.

There's other problems too, why do we think AI demand is ferocious right now? Nvidia's revenue is one of the biggest signals we use to determine that. Why is Nvidia's revenue so large? They're spending their revenue on more revenue. This process overinflates what AI demand might actually be.

The issue really boils down to that this is a risk that gets reported in a way that makes it look less risky than it really is and therefore actors make investment decisions that they might not otherwise make. Sure, it might work out. But if it doesn't, the pain could be way more painful than it looks on paper.