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Assess an AI company’s financing and revenue as one connected network: trace who funds whom, who supplies compute or hardware, who buys the service, and whether the end customer pays with independently available cash. Then measure concentration separately across revenue, receivables, contracted demand, funding, suppliers, and capacity. A supplier investment or strategic customer relationship is not, by itself, evidence of improper financing; the key questions are how risk moves through the contracts and whether sales turn into cash from independent demand.
What counts as circular financing in an AI business?
“Circular financing” is most useful as a description of a specific funding-and-purchase loop, not as a label for every close relationship. For example, a company may invest in a customer, lend it money, or provide credits that the customer then uses to buy the company’s products or services. A cloud provider, hardware supplier, strategic investor, lender, and customer may also be linked through separate agreements. These links can support genuine commercial activity, but they can make reported demand dependent on the same pool of capital that supports the buyer.
Trace the actual flows before drawing a conclusion. Identify whether capital returns to the funder through purchases, revenue, loan repayment, or another contractual arrangement; who bears the risk if the customer cannot pay; and whether the product or service was delivered. Describe what the evidence supports—for example, “linked financing and demand exposure”—rather than treating “circular” as a synonym for any supplier investment.
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Start with the AI company and list material counterparties, including beneficial owners where known. For each one, mark every role it plays: customer, investor, lender, hardware supplier, cloud provider, reseller, capacity operator, or end user. A counterparty can have more than one role, and separate legal entities may share owners, control, financing, or strategic direction. Record uncertain links as unknown rather than assuming independence.
Draw and label the flows in both directions. Include:
- Equity, debt, convertible instruments, warrants, loans, guarantees, and vendor financing.
- Cloud credits, customer advances, prepayments, hardware purchases, and cloud services.
- Capacity reservations, purchase commitments, offtake agreements, and revenue sharing.
- Cash payments, repayments, and any noncash consideration.
For each agreement, capture the payer and payee, amount or range, timing, recourse, termination rights, conditions to payment, and performance obligations. Note whether a commitment is fixed, contingent, cancellable, or dependent on third-party sales.
Does reported revenue become independent cash collection?
Reconcile recognized revenue to invoices and cash receipts rather than treating a signed contract or accounting entry as proof of collected cash. For each significant customer or arrangement, compare revenue with receivables aging, subsequent collections, credit losses, deferred revenue, customer advances, and noncash consideration. Review whether the service was delivered and whether the customer’s ability to pay depends on financing from the seller, its investor, or a related party.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsReview the contract terms and applicable accounting guidance for the specific arrangement. The filings cited here illustrate disclosures and diligence questions; they do not establish one accounting rule for every financing-and-sales structure.
How concentrated is the business—and in what?
Calculate customer shares using a consistent revenue denominator and reporting period. At minimum, track the largest customer and the top three and top five. Separately measure concentration in receivables, cash collections, bookings or remaining performance obligations, suppliers, funding sources, data-center capacity, and committed purchases. Do not combine an annual revenue share with a quarterly share as if they described the same exposure.
| Disclosure | What it shows | How to read it |
|---|---|---|
| NVIDIA, quarter ended July 26, 2026: one direct customer represented 16% of second-quarter revenue; three direct customers represented 16%, 15%, and 13% of first-half revenue. Form 10-Q | Direct-customer revenue concentration over two different periods. | The second-quarter figure and first-half figures are not interchangeable. NVIDIA also says some indirect customers may each account for at least 10% of revenue, but indirect attribution is estimated. |
| NVIDIA, fiscal year ended January 25, 2026: direct customers represented 22% and 14% of annual revenue. Form 10-K | Annual direct-customer concentration, with estimated indirect exposure also discussed. | Keep the fiscal-year boundary visible when comparing these shares with later quarterly or half-year disclosures. |
| Cerebras, 2025: G42 accounted for 24.0% of revenue and MBZUAI for 62.0%; the prospectus identifies the entities as related parties with respect to each other under ASC 850. 2026 prospectus | Revenue concentration and a disclosed relationship between two significant customers. | Read related-party, revenue, and other customer disclosures together; the shares describe 2025 revenue, not current-period cash collection. |
| Cerebras, as of December 31, 2025: one customer represented 77.9% of accounts receivable. 2026 prospectus | Receivables concentration at a point in time. | This is a different risk measure and date from the 2025 revenue shares; it indicates dependence on collection from one customer, not that customer’s share of annual revenue. |
There is no universal concentration threshold established by these examples. A percentage needs context: customer credit quality, collection history, contract duration, cancellation rights, and the cost of replacing that demand all affect the risk.
Who is the cloud provider’s end customer?
A direct buyer may be a cloud operator or reseller rather than the ultimate user of AI capacity. Ask who is using the compute, who pays the direct buyer, and whether that end customer is funded by the supplier, a related investor, or another participant in the same network. Seek evidence such as end-customer contracts, usage records, billing and collection data, and the direct buyer’s payment obligations. If the company cannot provide that information, identify the limitation rather than treating the direct customer as proof of independent end demand.
NVIDIA’s Form 10-Q for the quarter ended July 26, 2026 says it estimates some indirect customer revenue using purchase-order information, product specifications, internal sales data, and other sources. It describes one AI research and deployment company as contributing a “meaningful amount” of revenue through cloud-service purchases from NVIDIA customers, but does not name that end customer or quantify the amount. NVIDIA Form 10-Q This illustrates why a named direct buyer may not settle the question of ultimate demand.
Could the customer still pay if its funding stopped?
Test whether the customer can meet its obligations without new financing from the AI company or another linked party. Review the customer’s credit quality, cash resources, funding conditions, payment history, and the contractual consequences of nonpayment. Then model at least these cases for the largest customer or end user:
- Loss of the customer or failure to renew.
- Delayed payment or a contract dispute.
- Reduced demand or utilization of reserved compute.
- A funding interruption affecting both the buyer and the AI company.
Include second-order costs: debt covenants, leases, GPU depreciation or obsolescence, minimum purchase obligations, cloud take-or-pay terms, guarantees, and capital needed to keep serving other customers. Determine who bears residual-value risk and whether capacity can realistically be repurposed. If a cloud provider or supplier must buy back or absorb unsold capacity, account for that exposure rather than relying on the original sales forecast.
How should capacity commitments and customer support be assessed?
Separate customer demand from capacity support provided by a supplier or cloud partner. In its Form 10-Q for the quarter ended July 26, 2026, NVIDIA reported $36 billion in AI-cloud commitments as of that date, typically with six-year durations. NVIDIA described agreements that can include purchasing capacity an AI cloud does not sell to third parties and potential revenue sharing on third-party sales; commitments can decrease as third-party customers or NVIDIA research and development use capacity. NVIDIA Form 10-Q
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Those are NVIDIA-specific disclosed arrangements, not an industry benchmark. For any comparable deal, establish how much capacity is actually used by independent end customers, what happens to unsold capacity, and how the obligation changes with utilization or third-party sales. Examine who carries execution, customer-performance, pricing, and financing risk. The filing describes commercial commitments and related risks; it does not characterize them as circular financing.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What do connected customer and lender roles look like in practice?
Cerebras’s 2026 prospectus describes an OpenAI compute collaboration paired with an approximately $1.0 billion secured working-capital loan funded by OpenAI in January 2026 to support infrastructure and capabilities needed to provide compute services OpenAI had contracted to purchase. The prospectus also describes a warrant. Cerebras 2026 prospectus
This is a diligence example of connected lender-and-customer exposure: the same counterparty is connected to both financing and contracted demand. The amount and terms are specific to this disclosed arrangement. To assess its risk, review the loan’s recourse and security, the compute contract’s performance obligations and payment conditions, cash collection, and what happens if either side fails to perform. The relationship alone does not establish that the arrangement is improper or that revenue is uncollectible.
How can you compare two financing or customer arrangements?
Use the same questions for each alternative so that apparent diversification does not obscure dependence on one funding ecosystem:
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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →- End-demand independence: Is the ultimate user identifiable, and does demand depend on financing supplied by the seller or a connected party?
- Credit quality: Who owes payment, and what evidence supports the ability to pay?
- Exposure size: What shares of revenue, receivables, and cash collections depend on the arrangement?
- Cash versus accounting: How much has been collected, and what remains outstanding or conditional?
- Contract flexibility: How long does the commitment run, and what are the cancellation, renewal, and termination rights?
- Recourse and guarantees: Who bears losses, unsold capacity, or customer default?
- Utilization and residual value: Can compute capacity be used elsewhere, and who absorbs obsolescence or unused assets?
- Related-party links and disclosure: Are ownership and strategic links clear, and can the company substantiate ultimate demand and collections?
A concentrated customer base with reliable cash payment and short, cancellable commitments can pose different risks from a nominally diversified base that relies on one connected funding ecosystem. Evaluate the actual contract and cash flows rather than ranking arrangements by customer count alone.
How should the final assessment be stated?
Separate established facts from unavailable evidence. State the exposure in bounded terms, such as concentrated revenue, high receivables dependence, linked financing and demand exposure, or limited end-customer transparency. Name the reporting period and denominator for every concentration figure, and distinguish reported revenue from collected cash. If the ultimate buyer, ownership link, side agreement, or payment path is not disclosed, say that it remains unknown. Do not infer misconduct or use a universal threshold without a cited standard or company-specific covenant.
Public filings can show what an issuer reports, but they may not disclose private-company terms, side letters, full ownership links, exact indirect revenue shares, or end-user payment paths. Where those details matter, the conclusion should remain limited to the available contract, collection, ownership, and utilization evidence.
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