Wall Street Rallies to Calm CoreWeave Panic: Don't Use One Company to Deny the Entire AI Cycle

Deep News
Oct 20

The yield on CoreWeave, Inc. (NASDAQ: CRWV) unsecured bonds surged to roughly 15%, its CDS spread blew past 1,000 basis points, and its shares plunged more than 24% in a single week, triggering systemic worries about the entire AI capital expenditure cycle.

Yet a single small bond is being treated by the market as a barometer for the whole AI capex cycle, and leading Wall Street institutions argue this is a costly analogy error.

According to a trading desk report, Barclays pointed out that CoreWeave's roughly $1.5 billion in unsecured bonds represent only a tiny slice of its approximately $35 billion in total debt, and using the price signal from this instrument to reject the entire AI cycle is exactly like using the $4 billion KRE regional bank ETF to predict a U.S. recession in 2023. Goldman Sachs argued the market is using the wrong reference frame, since the unsecured bond market does not represent CoreWeave's true incremental financing cost. JPMorgan, meanwhile, said current risks are manageable.

This Scene Feels Familiar: SVB in 2023, CoreWeave in 2026

Ajay Rajadhyaksha, global head of macro research at Barclays, directly compared the current market panic to the 2023 Silicon Valley Bank crisis in an October 19 report.

In March 2023, SVB was taken over by the FDIC, and Signature Bank and First Republic soon collapsed. The market quickly formed a narrative: regional banks are the lifeblood of small and mid-sized business credit, and even without more bank failures, survivors would tighten lending and a credit crunch would trigger a recession.

The bond market bought it. Six weeks after SVB's collapse, the bond market was still pricing 75 to 100 basis points of rate cuts by the end of 2023.

What actually happened? The Federal Reserve did not cut rates even once in 2023 and instead kept hiking. U.S. economic growth for the year far exceeded the Fed's own March forecast of 0.4%. The recession never arrived, and the SPDR S&P Regional Banking ETF KRE recovered all its losses.

Rajadhyaksha wrote: "The mistake was not in recognizing that SVB had failed. It had. The mistake was extrapolating from a small, volatile, structurally fragile instrument to the entire U.S. economy."

What was that "tail" at the time? A regional bank ETF with about $4 billion in assets under management, KRE, equally weighted, with many constituents trading thinly. It was this small ETF that drove the repricing of trillions of dollars in rates, investment-grade credit and equity positions.

The logic was circular. KRE fell, sentiment worsened, people sold KRE, KRE fell further, the bond market priced more rate cuts, and stocks fell along with it. The tail wagged the entire dog.

Rajadhyaksha believes the same mistake is now playing out in real time in October 2026.

CoreWeave's "Tail": $1.5 Billion in Unsecured Bonds

Rajadhyaksha argues the "tail" wagging the whole dog this time is CoreWeave's roughly $1.5 billion of structurally subordinated unsecured bonds.

CoreWeave's debt structure has three layers. The largest is the secured delayed draw term loan, or DDTL, held in separate special purpose vehicles, each tied to specific GPU hardware, customer contracts and data center leases. When Meta signs a multi-year "pay whether you use it or not" contract and assigns it to an SPV, the collateral behind the bank loan is effectively Meta's payment commitment.

The second is about $9 billion of convertible bonds with coupons between 1.75% and 2.875%.

Only last come the unsecured notes, which in a liquidation scenario sit behind tens of billions of dollars of other claims.

Rajadhyaksha made the point plainly: "A 15% yield tells you something about that piece of paper. It does not tell you that the company is about to cease operations."

He offered an analogy: "If a person has a $35 million mortgage plus a small credit card, and the credit card rate is high, that tells you about the credit card. It does not tell you that every mortgage borrower in the city is in trouble."

The numbers make the contrast clearer: in March 2023, the bond market priced 100 basis points of rate cuts because a $4 billion ETF fell; in October 2026, the market is starting to question a trillion-dollar capex cycle because roughly $1.5 billion of structurally subordinated bonds are trading at 80 cents on the dollar.

JPMorgan: Bank Exposure Is Secured, Risks Are Manageable

JPMorgan's European bank research team, led by Kian Abouhossein, broke down CoreWeave's financing structure from a banking perspective in an October 20 report.

As of the first half of 2026, CoreWeave's total liabilities were about $52 billion, including about $35 billion of total debt, about $16.3 billion of operating lease liabilities, and about $5 billion of shareholders' equity, implying roughly 10 times leverage.

The bank noted that lenders' main exposure is concentrated in secured SPV structures, with about $15 billion drawn and about $9 billion undrawn, plus a $2.5 billion secured revolving credit facility at the parent level. Banks' direct holdings of unsecured bonds, about $21 billion including roughly $11 billion of convertibles, are limited.

On participating banks, JPMorgan found that large U.S. investment banks are the most involved, with European banks such as Barclays, Deutsche Bank, Societe Generale and Credit Agricole, as well as Asian banks including Mitsubishi UFJ and Mizuho, also participating. Based on the number of deals each bank joined and the traditional 10% to 15% syndicate hold ratio, JPMorgan estimates most banks' CoreWeave exposure is below $500 million, while large U.S. investment banks and Mitsubishi UFJ may be in the $1 billion to $3 billion range, mostly in DDTL form.

The bank also flagged three key risks:

First, counterparty risk within the SPVs. Not all SPVs have hyperscaler backing, and CoreWeave is expected to remain free cash flow negative through 2030, with JPMorgan estimating negative free cash flow of about $29 billion in 2026 and about $37 billion in 2028, creating a clear timing mismatch between upfront capex and contracted revenue.

Second, project execution risk. Social resistance, construction delays and power supply challenges could affect revenue realization, with Oracle's force majeure clause with Blue Owl already setting a precedent.

Third, spillover risk. If the AI-related high-yield bond market tightens, it could hit overall investment banking revenue, including equity capital markets. JPMorgan data show technology ECM accounted for 30% of global ECM volume in 2026, the highest level in more than a decade.

Goldman Sachs: The Market Is Using the Wrong Reference Frame

Goldman Sachs analysts Gabriela Borges and Maura Hager upgraded CoreWeave to "buy" from "neutral" on Monday with a $106 price target. The stock closed at $61.39 at the time, implying about 73% upside.

The bank argued the market is looking at unsecured bond yields to judge CoreWeave's financing cost, and that reference frame is the wrong one.

It noted that CoreWeave's main financing tool is the DDTL, an asset-backed project financing secured by specific customer contracts, GPU infrastructure and related cash flows. Lenders are underwriting the cash flow quality of specific contracts, not CoreWeave's overall creditworthiness.

On that basis, the bank estimates CoreWeave's current weighted average cost of debt at about 800 to 900 basis points, calculated by annualizing second-quarter interest expense of $2.56 billion against roughly $30 billion of total debt. For new financing, Goldman assumes DDTL pricing of about SOFR plus 300 basis points for investment-grade customers and about SOFR plus 600 basis points for high-yield customers, for a blended cost range of 750 to 1,050 basis points and a conservative base case of 1,000 basis points, meaning new financing costs would rise only 100 to 200 basis points from current levels.

The bank also cited market data: DDTL 5.0 and 5.5 are both trading at or above their original issue discount prices, indicating that confidence in CoreWeave in the asset-backed financing market has not collapsed.

On pricing power, Goldman estimates CoreWeave's current blended monetization at about $10 million of annual recurring revenue per megawatt, but sees upside: short-term contracts of three to six months are already signing at $40 million per megawatt, and CoreWeave raised prices 25% in July and another 10% in October. Goldman uses $13 million per megawatt as a "reasonable starting assumption" for new long-term contracts, which feeds into a model showing about a 15% unlevered internal rate of return, above a weighted average cost of capital of about 11.8%.

However, Goldman's sensitivity analysis also reveals the fragility of this logic: using the current actual blended level of $10 million per megawatt, the unlevered internal rate of return falls to 6.3%, turning the spread negative by 6 percentage points at the same financing cost. The entire bull case depends on CoreWeave raising revenue per megawatt by about 30% from current levels.

The bank's own model also shows free cash flow of negative $28.2 billion in both 2026 and 2027 and negative $15.8 billion in 2028, with a turn positive not expected until 2030.

Notably, the bank disclosed in the report's appendix that it is acting as lead or joint bookrunner on a pending CoreWeave underwriting, holds more than 1% of CoreWeave shares, and has received investment banking compensation from CoreWeave in the past 12 months.

Demand Side: Supply Chain Data Tells the Story

Barclays' Rajadhyaksha turned his attention to the deepest reaches of the supply chain.

TSMC reported on October 15 that revenue exceeded the upper end of its own guidance by $1 billion, marking a sixth straight quarter of record profit. High-performance computing, a proxy for AI, accounted for 68% of revenue, up further from 66% in the prior quarter. The 2-nanometer node already contributed 8% of wafer revenue, and the company raised its fourth-quarter growth guidance.

ASML likewise posted record sales on October 14, with operating profit more than doubling. CEO Christophe Fouquet said planned supply for 2027 and 2028 will not fully meet customer demand, and some customers have begun trying to book equipment for 2029 and 2030.

Rajadhyaksha wrote: "The maker of the machines needed to make chips has sold out its capacity for the next two years."

The five major hyperscalers, Microsoft, Meta, Alphabet, Amazon and Oracle, are set to spend about $725 billion to $800 billion combined on AI infrastructure in 2026, with 2027 estimates above $1 trillion. CoreWeave's 2026 capex guidance is $35 billion to $39 billion, about 4% to 5% of that total.

Rajadhyaksha's conclusion: "Even if CoreWeave stopped spending entirely, we would lose only 4% to 5% of total AI capex."

He also noted that hyperscaler spending is funded mainly from free cash flow, not the unsecured bond market. "Extrapolating from one emerging cloud provider to one of the most profitable companies in the world stretches the logical chain too far."

No Fed Backstop, but Demand Reality

Barclays also acknowledged one key difference from 2023: there is no policy tool to serve as a safety net.

In 2023, the Fed launched the Bank Term Funding Program, allowing banks to pledge underwater bonds at par for liquidity, which became the key to breaking the panic loop. There is no equivalent central bank tool for AI infrastructure financing.

But Rajadhyaksha argues the AI capex cycle has its own "backstop logic": demand for compute from Alphabet, Microsoft, Meta and Amazon exceeds current installed supply. As long as that holds, financing will follow demand.

TSMC's 68% high-performance computing revenue share, ASML sold out through 2028, and CoreWeave's $104 billion contract backlog are not policy tools, but they are demand reality. After the smoke clears, demand reality is what truly matters.

Rajadhyaksha concluded: "The market has a tendency to always find the smallest, most volatile instrument in a complex system and treat it as a barometer for the whole. In 2023 it was KRE; in 2026 it is CoreWeave's unsecured bonds. Both signals are real. The 2023 extrapolation was wrong, and we believe the 2026 extrapolation, if it happens in coming weeks, is equally wrong."

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