小龙先生|Oct 20, 2026 12:20
There’s an interesting phenomenon happening between the U.S. AI infrastructure and large AI models:
The market is cutting down on AI, but it’s not killing the demand for AI—it’s targeting the “landlords” of U.S. AI.
This year alone, at least 47 major data center projects in the U.S. have been delayed, withdrawn, or blocked.
Bernstein’s analysis is blunt: only 35% of the planned pipelines across the U.S. are truly reliable.
Why can’t they build them?
It’s not about money—it’s about grid connection queues and transformer delivery times that take 80 to 100 weeks.
But the worst hit are those who borrow money to buy GPUs and then rent them out to large AI models—the “compute landlords.”
Take CoreWeave, for example. In Q2, it reported $2.58 billion in revenue but a net loss of $626 million. What’s even deadlier is its quarterly interest expense, which reached $640 million—more than its losses.
It has $104.2 billion in backlogged orders, which looks promising. But the bond market isn’t buying it. Its bonds maturing in 2031 saw yields spike past 15% at one point.
Why? Because orders are future revenue, but interest payments are due today.
Goldman Sachs calls this “overpriced,” while JPMorgan warns of “excessive risk.”
And Gartner dropped a cold, hard stat:
By 2030, over $3.5 trillion worth of AI infrastructure faces devaluation risk. To cover these costs, the industry would need to generate $8.5 trillion in cumulative revenue.
But the realistically attributable AI revenue? It caps at $3.6 trillion.
The demand for compute power is real.
But those borrowing at high interest rates to build data centers might not survive long enough to collect rent.
So, if the AI bubble bursts, the first to go will be those without cash flow—the ones relying on junk bonds to buy GPUs, the “compute landlords.”
The giants won’t die. They have their own cash flow, and their compute power is for internal use.
The ones truly strangled by high interest rates are those stuck in the middle—leveraged to the max, hoping to rent to big clients to pay off their debts—the new cloud players.
When the tide goes out, it’s always the middlemen left swimming naked.
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