The chips fell. The lender raised its forecast.
On one Wednesday, stocks priced an AI slowdown and the lenders financing the same buildout raised their outlooks on the same news — Nvidia's November 17 report decides who was right.
AMD closed down 15.8% and Qualcomm down 13.5% [1], and Nvidia's 9% slide led a day that erased roughly $2 trillion from tech [2]. Hours later, Blue Owl, a lender financing the data-center buildout, told its own investors the same news was good: earnings were heading up. The sellers' case, read closely, was never about buyers. Investors sold on the worry that a changing political landscape could block the land deals, power hookups, and construction needed to house high-demand chips [1]. Notice what that fear names: buildings, permits, land. Not customers. What got priced on Wednesday was the consequence one step downstream: chips ordered but never installed, revenue never booked. A worry stated as supply, then sold as demand. Blue Owl read the same election and arrived at the opposite number. Its president allowed that compute supply would get scarcer after a change of government, then drew the line.
We think the supply for compute will obviously be a little more challenged given the change of what we’re seeing and the fallout potentially here from a change in government. — Erik Bissonnette
On the demand side, he said, nothing has moved.
There is no change in the demand for compute. — Erik Bissonnette
The economics behind that calm are simple. A spread is the gap between what a lender charges and what its own money costs, and spreads widen when capital gets scarce. Blue Owl told investors to expect exactly that: higher earnings on digital-infrastructure deals as money tightens [3]. The same wall the equity market priced as a slowdown is, in a lender's arithmetic, a margin. The rest of the financing chain lines up behind Blue Owl's reading. The biggest U.S. banks are still lending. Corporate loans grew about 10% in the third quarter, the fastest in more than a decade outside the pandemic, but the money is being rationed by role: hard limits at some, others lending to the builders rather than the sponsors [4]. Insurance now sits in front of the debt. Aon's chief executive says concentrated AI infrastructure has made coverage hard enough to change the financing outright, with business-interruption exposure measured in millions of dollars for every minute of an outage [5].
If it's more difficult to get insurance, that means the financing structure is going to change completely. You can't access the debt markets. — Greg Case
Jensen Huang's version fits in a clause: what the AI-computing startups lack is working capital, the cash to buy chips before revenue lands, not customers [6]. Everyone upstream of the wall reads it as a permission problem, and the wall is real. Bernstein figures only about 35% of announced U.S. data-center capacity will actually get built [7], and in New Mexico a developer waived its own air-permit deadline because letting it pass meant an automatic denial [8]. None of this makes the equity market naive. Blue Owl's calm arrived with a pitch: it launched a $2 billion fund that packages data-center loans the same day it raised its outlook. The voice insisting demand is unchanged was simultaneously marketing a vehicle that needs that forecast to hold [3]. The loan market was not uniformly serene either: an anonymous seller auctioned roughly $500 million of data-center loans that day, including a slice behind a Stargate site where Oracle had issued a force-majeure notice, the legal declaration that outside circumstances make performance impossible, to the developer [9]. And there is a bear case untouched by the election. Investors had been rotating toward free cash flow since September, before anyone voted, as the big cloud companies' spending pushed cash flow negative [10], and at least one analyst is telling clients not to buy the dip [11]. Set against that is Ed Yardeni's read that spending holds because finished projects get completed and friendlier states replace resistant ones [12].
I'm not particularly concerned that we're certainly gonna see a free fall in in capital spending. — Ed Yardeni
What makes the disagreement worth watching is that it has a settlement date. Nvidia reports on November 17. A print that holds would suggest the $2 trillion selloff was the equity market pricing in advance a permission queue that never reached demand. A print that slips would suggest the lenders' spread arithmetic was the calm before a repricing of the loans behind it. Both calls cannot be right. Eleven days.
- 1. Chipmaker Shares Plunge Amid Infrastructure and Regulatory Fears
- 2. Nvidia Leads Tech Rout as AI Stocks Lose $2 Trillion
- 3. Blue Owl Forecasts Higher Earnings Amid AI Compute Risks
- 4. US Bank Lending Surges 10% Amid AI Data Center Boom
- 5. Aon CEO Warns AI Infrastructure Risks Threaten Data Center Financing
- 6. Hyperscalers Warehouse Billions in GPUs Amid Power Shortages
- 7. Electricity Shortages Delay US AI Data Center Boom
- 8. Yucca Growth Waives Air Permit Deadline for Oracle Data Center
- 9. Anonymous Seller Auctions $500 Million Data Center Loan Portfolio
- 10. AI Spending Surge Shifts Investors Toward Free Cash Flow
- 11. Analyst Warns Semiconductor Industry Faces Significant Downside Risk
- 12. Ed Yardeni Predicts Resilient AI Capital Spending