Source publication: November 9, 2026, at 19:00 UTC+8. Original author: @PinkBrains_io; Chinese translation and compilation credited to AididiaoJP, Foresight News.
USD.AI connects stablecoin deposits with loans secured by GPUs and their rental contracts. For its CHIP token, the economic link is indirect: deployed capital generates loan interest, the protocol retains a share of that interest, and eligible net revenue funds token purchases.
The mechanism depends on more than demand for AI computing. Loan deployment, borrower defaults, hardware depreciation, withdrawal requests and the allocation of fees all determine how much money can ultimately reach buybacks. The source’s November 2026 account describes a business filling gaps left by banks—not replacing bank financing or guaranteeing token appreciation.
Why smaller GPU operators turn to onchain credit
According to American Compute figures cited in the article, 110 publicly disclosed GPU and data-center financing transactions had raised $197 billion since 2023, with 92% of that capital raised in 2025 and 2026. Banks dominated the disclosed lending market: of 49 transactions with identified lenders since July 2025, 32 were led by JPMorgan, Goldman Sachs, Morgan Stanley or MUFG.
Access and pricing depended heavily on the quality of the tenant behind a GPU lease. In 2026, loans backed by investment-grade rental contracts were priced at SOFR plus 2.25–3.0 percentage points. Unrated or sub-investment-grade transactions were priced at SOFR plus 4.5–5.5 points, or fixed rates of 9–10%.
Large borrowers can place hardware, leases and debt in a special-purpose vehicle, or SPV. Smaller operators face a cost barrier: the source cites The Token Dispatch’s observation that bank due-diligence costs do not fall proportionally with transaction size. A process affordable for a $1 billion loan may make a $30 million transaction uneconomic.
That leaves some operators with rentable hardware and rental income but limited access to bank credit. USD.AI targets this gap using stablecoin-funded loans.
The underlying market is nevertheless risky. The article reported that CoreWeave’s credit-default swaps in mid-October implied a five-year default probability above 60%, and cited Gartner’s forecast that more than 80% of specialized GPU cloud operators, or neoclouds, would cease operating independently by 2030. Those are market-implied and forecast figures, respectively—not observed default outcomes.
What secures a USD.AI loan
USD.AI’s October report listed 20 financing originations totaling $531 million, ranging from hundreds of thousands of dollars to $128.9 million per transaction.
Its structure extends the SPV model to smaller deals:
- The borrower’s SPV owns the GPUs.
- USD.AI holds a first-priority lien over the servers and the SPV’s equity.
- Loans generally cover 70–80% of hardware costs; the borrower supplies the remainder.
- Funds remain in escrow until server installation is verified.
- Rental receipts subsequently service the debt.
The published pricing range ran from 7% for investment-grade lease-backed transactions to 15% for deployments without contracts. Across 15 loans tracked from January through August 2026, rates ranged from 10% to 15%, with a 12% median. USD.AI claimed it could complete financing within seven days. Its proposition was therefore access and speed rather than the lowest borrowing cost.
If a borrower defaults, the agent first attempts to replace the operator or sell the SPV as a going concern. Individual server sales through IT asset-disposal firms are a fallback.
Hardware depreciation constrains this model. Typical loans last approximately three years, and the collateral rules cited in the article accepted B200, B300, GB200, GB300 and VR200 chips, plus AMD’s MI455X and MI430X. An annual 150-basis-point residual-value warranty charge is deducted from yield to cover part of the resale risk.
USDai and sUSDai have different economic roles
The article describes USDai as backed 1:1 by PYUSD, whose reserves include U.S. Treasuries. USDai itself does not earn yield. Staking produces sUSDai, whose vault finances loans and accumulates interest. Under this structure, sUSDai holders bear the GPU credit exposure.
Redemptions are processed in 30-day batches and depend on available liquidity, while the underlying loans generally run for about three years. The withdrawal schedule can slow outflows, but it does not eliminate the maturity mismatch.
The 7% CHIP Hurdle Rate is a yield target, not a guaranteed payment. On November 1, the reported sUSDai annualized yield was 6.53%; USD.AI injected approximately 128,000 USDai to bring it to 7%. The average reported yield from January through early June 2026 was 7.0%.
A roughly 12% median borrower rate does not translate into a 12% depositor yield. The source identifies three factors behind the difference:
- The 150-basis-point residual-value warranty charge.
- The protocol’s 10% share of interest.
- Undeployed cash earning Treasury rates rather than GPU-loan rates.
DefiLlama figures cited in the article showed October fees of $4.87 million and protocol revenue of $487,000. The source also reported $24.75 million in gross protocol revenue over the preceding year, noting that origination fees could produce revenue spikes.
Capital deployment is therefore central to the model. Deposits once approached $700 million while outstanding loans were only around $1 million; the article linked those inflows to airdrop expectations. By October 15, approximately $311 million was deployed: $177 million in active loans and $134 million in escrow awaiting chip delivery. Escrowed commitments are not the same as active, interest-producing loans.
GLX recycles capital—but divides the economics
Launched on October 1, GLX allows loans initially funded by sUSDai to be sold after several months of timely repayments. Sale proceeds can then finance new loans. Outside lenders may also participate at origination.
By the source’s publication, GLX had processed more than $200 million. One cited transaction was a $106 million, four-year loan jointly provided by USD.AI, Silver Point Capital and Victory Park Capital to NexGen Cloud on October 29, financing 1,728 B300 GPUs in Finland.
The sale rules described in the article distinguish ordinary pricing from a liquidity-stress exception:
- 100, or par: the normal minimum sale price.
- Above 100.5: commercial guidance, not a mandatory floor.
- 99.5: permitted only when redemption requests still exceed available cash after the 30-day redemption queue.
Buyers cannot be economically affiliated with the party proposing the sale. Gains on sales are allocated 60% to GLX operator USD.AI Inc. and 40% to the Yield Reserve, which supports the 7% sUSDai yield target. Discounted sales do not participate in that gain-sharing arrangement.
The source illustrates the incentive with a hypothetical $10 million loan sold at 100.5: the $50,000 gain splits into $30,000 and $20,000. Re-originating another $10 million loan at USD.AI’s quoted 2–3% origination fee could generate $200,000–$300,000. In that example, the larger fee opportunity comes from lending again, not the sale premium.
This distinction matters for CHIP holders. Origination fees accrue to USD.AI Inc.; they are not automatically equivalent to revenue committed to token purchases.
An early exit shows how capital can return
The article identified Duos Edge AI as the only loan exited at that point.
On June 5, 2026, USD.AI provided the Duos Technologies subsidiary with a $98.1 million, three-year loan secured by 2,304 B300 GPUs. Recourse was limited to the SPV and hardware, rather than Duos itself.
In September, Axe Compute acquired the SPV and repaid approximately $87.8 million of the loan. The acquired cluster had a signed five-year lease with expected revenue of $364.6 million. That figure was expected contractual revenue, not realized income.
For USD.AI, the transaction returned most of the financing in less than four months, making the capital available for further lending.
How loan interest reaches CHIP buybacks
The source describes the recurring buyback policy as follows: after CHIP Foundation costs, 100% of the net interest margin retained from sUSDai is used for programmatic CHIP purchases. USD.AI had not set a fixed purchase amount or timetable.
Other revenue streams follow different rules:
- Origination fees remain with USD.AI Inc.; excess funds may be used to purchase CHIP.
- Loan-sale gains follow the 60%/40% allocation between USD.AI Inc. and the Yield Reserve.
- USDai’s fee switch had not been activated.
Using the October 26 purchase price, the article estimated CHIP’s circulating market capitalization at approximately $90 million, based on 2 billion circulating tokens at $0.0448 each. This is a circulating-supply valuation, not a statement of total or maximum supply.
At that valuation, the source estimated annual programmatic purchases equivalent to approximately 2.5% of circulating supply using trailing-year activity, or 6.5% using the then-current pace. These are activity- and price-dependent estimates, not fixed purchase commitments.
Separately, on October 26—two days before the buyback route launched—USD.AI Inc. manually spent 1 million USDC on approximately 22 million CHIP at an average price of $0.044756. The purchase represented roughly 1.1% of circulating supply. It should not be treated as the recurring program’s established spending rate.
The stated long-term objective is for purchases to exceed reward issuance. The article reported that reward emissions fell from 3% in season one to 2.25% in season two. Once purchases exceed new issuance, rewards are intended to move toward a monthly, revenue-funded arrangement. The source did not provide a complete vesting calendar or maximum-supply schedule.
Growth in lending is not a token-price guarantee
The article put 2026 GPU-backed debt fundraising at $48.4 billion, with onchain lenders holding less than 1%. USD.AI accounted for 93% of that onchain segment, followed by GAIB, Forum Markets and Falcon Finance.
Using an approximately 12% loan rate and a 10% protocol share, the source calculated that financing an amount equivalent to 1% of that market could support roughly $5.8 million in annual CHIP purchases—about 6.5% of the cited circulating market capitalization. A 5% share would imply approximately one-third. These are scenario calculations using the article’s inputs, not forecasts of market capture or token returns.
The growth constraints remain material: GPUs can depreciate quickly, new chip generations may reduce both rental income and resale values, and smaller neocloud borrowers are exposed to industry consolidation. Successful borrowers may also refinance with cheaper banks; the article cited Sharon AI moving to bank financing at 9.95%.
For CHIP, the relevant mechanism is therefore loan deployment → collected interest → protocol revenue after costs → token purchases, measured against continuing reward issuance. More deposits or more loan originations alone do not establish how much value reaches that final step—and purchases do not by themselves guarantee a higher token price.