What Is "Circular Financing"? Nvidia–OpenAI Vendor Financing, Fully Explained
Four straight down days for semiconductors — what's happening beneath the surface
① "Circular financing" is a structure where a supplier itself arranges the funds a customer needs to pay for what it just bought — the revenue is real, but its funding source traces back to the seller, making it hard to distinguish from genuine end demand.
② A WSJ report that Nvidia is discussing a guarantee of up to $250B for OpenAI's Ohio data center financing was the direct trigger for four straight down days in chip stocks.
③ The key question for Korean investors is whether this selloff reflects real fundamental damage or temporary leveraged liquidation.
① Introduction — why chips fell so hard in four days
As recently as July 25, large-cap semiconductor stocks were trading near all-time highs. Just four sessions later, the mood had completely flipped. On July 27, Nvidia and AMD both fell 5–8% intraday; the next session, Micron (-8.85%), AMD (-8.15%), ARM (-8.11%), and Intel (-5.86%) all sold off together, dragging the Philadelphia Semiconductor ETF (SMH) into a fourth straight losing day. The stated reasons on the surface varied — China's progress in domestic lithography equipment, AI valuation fatigue, talk of forced leveraged selling. But one word runs through all of it: circular financing.
The term is unfamiliar, but the concept itself isn't complicated. This report breaks down exactly what circular financing means, why it's a problem in the Nvidia–OpenAI case, and what Korean retail investors should be checking right now — using numbers and a historical comparison.
② What exactly is "circular financing"?
Circular financing isn't a new concept. The core idea is simple: a supplier (A) sells goods or services to a customer (B), while A itself invests in, lends to, or provides credit support (a guarantee) for B so that B can afford the purchase. As a result, real revenue shows up on A's books — but trace the money that made that revenue possible far enough back, and it leads right back to A.
| Ordinary Transaction | Circular Financing Structure | |
|---|---|---|
| Funding source | Customer raises funds independently (equity, bank loans, bonds) | Supplier directly participates via investment, loans, or guarantees |
| What revenue represents | "Real" revenue reflecting third-party demand | Possibly "manufactured" revenue leaning on the supplier's own credit |
| Where the risk sits | Only the customer's credit risk matters | The supplier's own creditworthiness gets tied to the customer's business success |
| When it surfaces | Immediately (e.g. cash transactions) | Only when the customer defaults or the contract is renegotiated |
One caveat: the structure itself doesn't automatically mean "fraud" or "illegality." It's not unusual for a supplier to help a customer arrange financing on large infrastructure deals. The problem arises when this structure grows too large and layers too deeply — if a meaningful share of revenue growth is effectively self-created by the supplier, that growth looks less like a signal of real demand and more like an accounting illusion.
③ Dissecting the Nvidia–OpenAI case
The Wall Street Journal reported that Nvidia is discussing providing a guarantee of up to $250 billion to support financing for OpenAI's Ohio data center project. Some observers estimate the total project could exceed $500 billion. Simplified, the structure looks like this.
This isn't the first time such a structure has rattled the market's nerves — smaller-scale versions of the same worry have surfaced around GPU cloud providers like CoreWeave and Nscale. But the dollar figures being discussed in the Nvidia–OpenAI case are an order of magnitude larger, which explains the far bigger market reaction. Right after the report, Nvidia fell nearly 5% intraday and briefly lost its title as the world's most valuable company back to Apple.
④ Why it matters — the mechanics of amplified risk
Circular-financing concerns move stock prices sharply, rather than staying just a talking point, for three main reasons.
① Questionable authenticity of demand — it's hard to tell whether OpenAI can actually monetize this much compute by selling it to end users (developers, enterprise customers), or whether the financing itself has become the point.
② Leveraged liquidation mechanics — CNBC's Jim Cramer warned that this semiconductor selloff has "monstrous, motivated, margined" sellers behind it — meaning forced liquidation from margin calls, not fundamentals, may be amplifying the decline.
③ Contagion spreads outward — semiconductor valuation reassessment can spread beyond individual stocks to the whole value chain (equipment, materials, memory), and even further to Asian markets (KOSPI -10.8%, Samsung -13.4%, SK Hynix -14.7%).
Layered on top, reports that a Chinese state-owned chipmaker had begun mass-producing deep ultraviolet (DUV) lithography equipment forced the market to digest two worries at once: the authenticity of AI demand itself, and the pace of China's self-sufficiency.
⑤ A lesson from history — dot-com-era "vendor financing"
A structure fundamentally similar to circular financing isn't new. During the early-2000s dot-com bubble, telecom equipment makers like Lucent and Nortel widely used "vendor financing," directly lending startups the money to buy their equipment. At the time, it looked like a clever way to accelerate revenue growth. But once the bubble burst, the startup telecoms that had borrowed the money went bankrupt one after another, and the equipment makers had to write off receivables, crushing their results.
| 2000s Vendor Financing (Telecom Equipment) | 2026 Circular Financing (AI Semiconductors) | |
|---|---|---|
| Supplier | Lucent, Nortel, and other telecom equipment makers | Nvidia and other AI chip/infrastructure companies |
| Customer | Startup telecom carriers (CLECs) | OpenAI and other AI labs/cloud providers |
| Form of support | Mostly direct loans | A mix of guarantees, investments, leases and other credit support |
| Prevailing narrative | "The internet changes everything" | "AI changes everything" |
| Key difference | End-demand growth (line subscribers) came in far slower than expected | AI end-demand (real enterprise adoption and monetization) is still unfolding — outcome not yet decided |
⑥ How markets are reacting right now — the numbers
| Stock/Index | 7/27 Move | 7/28 Move |
|---|---|---|
| Nvidia (NVDA) | ~-5% intraday | — |
| AMD | -5.17% | -8.15% |
| Micron (MU) | -2.25% | -8.85% |
| Intel (INTC) | -3.54% | -5.86% |
| Semiconductor ETF (SMH) | -4.06% | ~-3% |
| KOSPI | — | -10.8% |
What stands out most is how fast this spread to Asia. Samsung Electronics (-13.4%) and SK Hynix (-14.7%) — which together make up nearly half of KOSPI's market cap — plunged together, dragging the whole index down 10.8%, its worst drop since the geopolitical risk episode in March. A US valuation debate crossed the Pacific and slammed all of Korea's semiconductor stocks within half a trading day.
⑦ A checklist for Korean investors — telling signal from noise
① Trace the funding source behind revenue — check earnings calls and 10-K/10-Q filings for related-party transactions or disclosed investments, guarantees, or loans to customers.
② Check customer concentration — it's a warning sign if a large share of revenue is concentrated in a few customers who are simultaneously recipients of the supplier's own investment or credit.
③ Distinguish the type of selloff — follow the news flow to judge whether it reflects real fundamental damage (confirmed earnings weakness, falling demand) or leveraged liquidation (a volume spike with no specific new bad news).
④ Audit your portfolio concentration — regularly check whether your exposure to the AI value chain (chips, cloud, power infrastructure) has become excessive.
⑤ Wait for official confirmation — this is still at the "under discussion" reporting stage. Until an actual contract and its specific terms are disclosed, treat this as a possibility, not a confirmed risk.
"Circular financing" sounds alarming precisely because its true nature is ambiguous. At this stage, it's neither a confirmed fraudulent scheme nor a completely benign ordinary transaction. What matters is understanding the concept precisely, then using each new disclosure and earnings report to separate "real demand" from "manufactured demand." There's no need to dismiss the AI boom outright, nor to trust it blindly — just keep testing it against this framework as the numbers come in.
If terms like training, inference, and HBM in this report are unfamiliar, start with 50 AI Terms. To understand from first principles why AI infrastructure demand grew this fast, read How LLMs Work.
※ This report is for informational purposes as of July 28, 2026 and is not investment advice. Figures are drawn from marketbrief's daily reports (2026-07-27, 2026-07-28) and public reporting by the Wall Street Journal, CNBC, and Bloomberg. Investment decisions and responsibility rest with the investor.
※ This report is provided for informational and educational purposes only and does not constitute a recommendation to buy or sell any security.
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