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Janus Henderson’s fund manager said it flatly last week: “Nvidia’s circular financing risks are currently controllable.”
The ledger doesn’t lie, but narratives do. Controllable—for now—because the balance sheet is thick enough to absorb a few defaults. But circular financing isn’t a bug; it’s a feature built on a feedback loop that mirrors the very mechanisms that blew up TerraUSD and countless DeFi protocols. The question isn’t whether the risks are uncontrolled today—it’s whether the market is pricing in the inevitable collapse of the reinforcing cycle.
Context: The Circular Financing Mechanism
Here’s what the fund manager described, stripped of corporate gloss: AI application growth drives demand for more compute. More compute forces tech giants and AI-native startups (OpenAI, Anthropic, etc.) to increase capital expenditures. Those expenditures feed directly into Nvidia’s revenue. Nvidia, in turn, uses its massive cash pile and market credibility to offer financing guarantees to these same customers, enabling them to buy even more GPUs. The loop closes: Nvidia’s own financial strength becomes the fuel for its customers’ spending, which becomes Nvidia’s future revenue.
This is not a loan book. It’s a synthetic leverage position where Nvidia is both the lender and the beneficiary of the borrower’s spending. If you strip away the semiconductor label, you see a bank dressed in a GPU datacenter suit. The analog in crypto is the recursive lending pool: deposit ETH → borrow USDC → buy more ETH → deposit → repeat. The loop amplifies returns on the way up, but when the collateral (AI revenue growth) falters, the whole structure deleverages violently.
Core: The On-Chain Evidence Chain (Applied to the Real World)
Let me walk you through the forensic logic I’ve used to stress-test similar models—first in DeFi, and now in this AI-cold economy.
1. The Income-to-Capex Ratio as a Decay Signal
The fund manager’s central concern: “OpenAI’s future revenue growth must exceed capital expenditure growth.” That’s the equivalent of a DeFi protocol’s “revenue-to-TVL” ratio. In the crypto world, we’ve seen projects with strong TVL but zero revenue collapse overnight when the incentives dry up. The same is happening here. AI startups are burning cash to maintain the illusion of progress. Nvidia’s circular financing is the incentive.
During the Terra collapse in 2022, I used a Python framework to measure UST’s on-chain supply divergence from its collateral reserves. Weeks before the depeg, the ratio of on-chain stablecoin supply to actual collateral fell below a critical threshold. We can apply the same logic here: track revenue growth vs. capital expenditure growth for the top 10 AI startups. If the ratio stays below 1 for two consecutive quarters, the loop destabilizes.
2. The Hidden Cost of Financing Guarantees
Nvidia’s profit margins are stellar—70%+ gross margins. But margins don’t tell you about contingent liabilities. Based on my audit experience in 2017, when I found an integer overflow in Kyber Network’s liquidity pool logic, I learned that the most dangerous vulnerabilities sit in the code not yet executed. Nvidia’s financing guarantees are code waiting to execute. They are off-balance-sheet promises that become on-balance-sheet obligations when a borrower defaults. The scale? If Nvidia guarantees $10 billion in AI infrastructure loans, a 5% default rate wipes out $500 million of net income. That’s a 3-4% hit to annual earnings—enough to shift valuation multiples.
3. The MEV-like Exploitation of Capital Asymmetry
In DeFi, miners extract value from transaction ordering. In the AI economy, Nvidia extracts value from its position as both the GPU supplier and the financier. This is structural MEV. The company can prioritize GPU allocations to startups that accept its financing terms, creating a captive market. It’s similar to the way centralized exchanges offer loans to market makers in exchange for preferential order flow. But here, the “order flow” is the entire future of AI compute demand.
During the 2020 DeFi summer, I built a backtesting engine for yield farming strategies on Compound and Uniswap. I observed that arbitrage opportunities disappeared when MEV bots front-run trades. Nvidia’s role is the front-runner of the AI boom: they control the supply, the financing, and the price. The question is whether this creates a false signal of demand, much like wash trading inflated floor prices in the BAYC NFT collection I analyzed in 2021.
4. The Decomposition of “Controllable”
The fund manager’s assessment is based on current fundamentals: strong revenue, high margins, and a fortress balance sheet. But that’s a snapshot, not a forecast. In the 2022 Terra analysis, I flagged the divergence weeks before the collapse because I saw the leading indicators—collateralization ratios eroding, swap depth thinning. The leading indicator for Nvidia’s circular financing is the funding environment for AI startups. Venture capital flows into AI peaked in 2024 and are now plateauing. If VC funding tightens, the startups relying on Nvidia’s guarantees to buy hardware will find themselves overleveraged. Nvidia’s balance sheet cannot absorb a systemic event—no single company can.
Contrarian: Correlation ≠ Causation, and Control ≠ Safety
Let’s challenge the dominant narrative. The market sees Nvidia’s circular financing as a smart financial engineering move—a way to accelerate the AI build-out while locking in customers. But I see a pattern that crypto veterans recognize: compounding errors are just debt in disguise.
The fundamental assumption underpinning the loop is that AI revenue will grow faster than the capital consumed to generate it. That’s not a proven law; it’s a bet. History is littered with such bets: the dot-com bubble, the ICO boom, the NFT mania. In each case, the “infrastructure” was built ahead of “applications,” and the builders who financed the spades ended up holding the bag when the gold rush ended.
Nvidia’s guarantee is a put option written on the AI industry. But unlike a financial derivative, this put option doesn’t expire. It only becomes an asset (if startups succeed) or a liability (if they fail). The asymmetry is dangerous: the upside is limited to the interest and future GPU sales, while the downside is the full capital loss. This is the same profile as writing out-of-the-money options for premium income—lucrative until the black swan.
Moreover, the fund manager’s “currently controllable” framing is a textbook time-preference bias. It’s the same language used by DeFi protocol teams before their incentive programs ended and TVL vanished. Short-term controllability gives false comfort. I’ve seen this play out: in 2021, NFT floor prices were “controllable” until the wash trader exited. The spike in volume was real, but it was artificial. Nvidia’s financing is boosting GPU demand that is partially artificial—funded by debt, not organic revenue.
Takeaway: The Signal to Watch
What should you watch? Not Nvidia’s earnings next quarter. Watch the ratio of total funding for AI startups (from all sources) to total AI application revenue. That ratio is the on-chain health metric for this entire circular financing system. When the ratio starts declining—meaning fewer dollars entering the ecosystem per dollar of real revenue—the loop will start to fray.
The last time I saw a similar signal was in May 2022, when Terra’s reserve ratio dropped below 0.5. I published a warning then. Those who read it hedged. Those who didn’t paid the price.
Trust is a variable, not a constant. The current “controllable” narrative is a constant in the minds of many investors, but the data is already shifting. The question isn’t whether the circular financing will break—it’s when, and who will be holding the debt when it does.