Why tokenized private credit is not actually DeFi
Private credit has existed for decades as a market where non-bank lenders extend loans to mid-sized companies, against collateral such as receivables, inventory, real estate, or, in the case of Figure, home equity lines of credit. The borrowers are usually too small or too specialized for a syndicated bank loan, and the lenders are funds, family offices, or, more recently, crypto-native pools of capital. The loans are documented in a credit agreement, a long legal contract that defines what counts as a default, how interest is calculated, who can call the loan, and where disputes are heard.
Tokenized private credit wraps that legal relationship in a blockchain token. Platforms like Maple, Centrifuge, and Figure issue tokens that represent pro-rata claims on a pool of these loans, and they use Ethereum or similar networks to handle subscriptions, distributions, and transfers. The marketing story is that this makes the loans faster, cheaper, and more accessible, and on the settlement and administrative layer, it can do that. The credit itself, meaning the question of whether the borrower repays, is unchanged. A token does not make a risky loan safe. It just moves the paperwork.
For a yield-seeking user, this distinction is the single most important thing to internalize before allocating. The token shows you your pro-rata share, your accrued interest, and your position in the waterfall. It does not give you a magical enforcement mechanism. If the borrower stops paying, the token cannot reach into a warehouse, seize inventory, or foreclose on a home. A human, acting under a legal agreement, has to do that. The default path runs through a servicer, a collateral agent, a bankruptcy court, and, often, opposing counsel.
The real risks: where tokenized private credit actually loses money
Even when everything works the way the documentation says it should, several structural risks can wipe out a meaningful portion of a position. None of these are exotic. They are the same risks that affect traditional private credit, and the token layer does not protect against any of them.
Credit risk is the headline risk. The borrower simply may not repay. In the 2022 to 2023 crypto credit cycle, several large borrowers failed, including the hedge fund Three Arrows Capital, the lender Babel Finance, and a number of trading firms whose names never made headlines. Maple, one of the largest on-chain credit platforms, disclosed defaults on roughly $50 million of loans to orthogonally related trading firms in late 2022. Lenders voted on workout proposals on-chain, but the actual recovery process was a mix of liquidation of collateral, negotiation with the borrower's estate, and in some cases formal insolvency proceedings. Token holders got information faster than they would have with a private fund, but they did not get their money faster.
Concentration risk is the silent killer. Many tokenized pools are not very diversified. A Centrifuge tin or a Maple pool might have one, two, or three borrowers, sometimes all in the same sector. The platform's marketing usually highlights a single anchor borrower, and the structure is presented as if the credit work was extensive. In reality, the underwriting is concentrated in the hands of a pool delegate or a delegate's credit team, and that team may have misjudged the borrower, or may have been willing to lend aggressively because the originator was earning fees on volume. If the anchor borrower fails, the token can be impaired even though the smart contract behaved perfectly.
Servicer and counterparty risk sits between the token and the loan. When a default happens, the platform's servicer or pool delegate is supposed to enforce remedies. That entity may be slow, conflicted, or under-resourced. In traditional private credit, lenders hire specialized workout firms. In tokenized credit, the workout function is often performed by the same team that originated the loan, with on-chain voting by lenders. Voting does not equal enforcement, and a poorly resourced or inexperienced servicer can lose value in the early weeks of a default, when collateral is most recoverable.
Secondary liquidity is extremely thin. Most tokenized credit tokens trade on a few DEXs or on the platform's own order book, with daily volumes that are a small fraction of the pool size. If you hold a token through a default, you may not be able to exit at any price. Even senior tranches with ostensibly safer exposure can trade at deep discounts in a stressed scenario, because the bid side simply disappears. This is a crucial difference from a public bond market, where distressed prices are still liquid.
Legal risk is jurisdictional and often untested. The loan agreement will specify a governing law and a venue, which might be New York, England, the Cayman Islands, or somewhere else. If the borrower is in a third country and the collateral is in a fourth, enforcement can require local counsel in each. Token holders benefit from whatever rights the special purpose vehicle has, and nothing more. If the SPV is poorly capitalized or its directors are not actively managing enforcement, the token holder's claim is just a piece of paper that happens to live on a blockchain.
How a default actually unfolds, step by step
To understand what token holders experience, it helps to walk a realistic scenario from the moment a borrower misses a payment. The mechanics are similar across platforms, even when the branding differs, and the timing is typically measured in months, not days.
First, the borrower misses a scheduled interest or principal payment, often by a few business days at first. The servicer contacts the borrower, asks for clarification, and checks whether this is a temporary liquidity issue or something deeper. Most credit agreements give the borrower a grace period, usually five to ten business days, before a payment default is officially declared. During this window, the situation is often not visible on-chain at all, because the platform has not yet marked the loan as impaired.
Second, the servicer formally declares a default and notifies the lenders, either through the platform's interface or a written notice. At this point, the loan agreement's remedies kick in, including the right to demand accelerated repayment, to take control of collateral, or to enforce against guarantors. In a tokenized pool, the platform typically opens a vote on the next steps: extend the loan, restructure it, foreclose on collateral, or sell the loan to a third party. Lenders vote with their tokens, weighted by exposure, and the result is recorded on-chain.
Third, regardless of what the vote says, the actual enforcement is an off-chain process. If the collateral is tokenized, for example a treasury bill or a tokenized money market fund held in a segregated wallet, the servicer can move it. If the collateral is real-world property, like a home in the case of Figure's HELOC product, or receivables, the servicer needs to use the legal system. That means engaging lawyers, sometimes in multiple jurisdictions, filing proofs of claim, and possibly going to court. The legal clock starts now, and it moves on its own timeline.
Fourth, recovery arrives in pieces. Initial recoveries often come from selling liquid collateral, like cash or marketable securities. Slower recoveries come from monetizing receivables, foreclosing on real estate, or pursuing guarantor claims. In some defaults, the borrower proposes a restructuring that pays lenders over time, often at a haircut, and the lenders vote to accept or reject. In others, the borrower enters formal insolvency, and lenders become a class of creditors in a process they do not control.
Fifth, the platform distributes recoveries to token holders, net of fees and expenses. Servicers charge workout fees, lawyers charge by the hour, and the platform charges a percentage. The headline recovery number you see reported is almost always gross of these costs, so the actual amount that reaches your wallet is lower, sometimes meaningfully so. Distributions trickle in over months or years, and the token's market price usually reflects uncertainty about timing and total recovery, trading at a steep discount to face value even when the expected total recovery is reasonable.
Senior and junior tranches: who actually gets paid first
Tokenized private credit pools often mimic the tranching of securitization markets, and understanding where you sit in the capital structure is the only way to translate the marketing into actual risk. The labels can vary by platform, but the underlying logic is the same as in collateralized loan obligations, mortgage-backed securities, or any structured credit product.
Senior tranches are paid first. They receive interest and principal ahead of any other class, and they bear losses only after the junior tranches are exhausted. On platforms like Centrifuge, senior tranches are typically over-collateralized and carry lower yields, in the single digits, to reflect the lower risk. In a default, senior holders do not feel the impact until the pool's junior capital is fully wiped out, which in a well-structured pool means a significant adverse credit event on multiple borrowers.
Junior or equity tranches are paid last and absorb losses first. They typically earn higher yields, sometimes 12 to 20 percent, to compensate for the risk of being partially or fully impaired in a default. In some Centrifuge structures, the senior tranche is also protected by a drop-down mechanism, meaning that the junior tranche must absorb losses up to a defined buffer before the senior tranche sees any reduction. In Maple's more recent structures, pools may have a first-loss piece held by the delegate, providing a similar buffer to senior lenders.
Uncollateralized or under-collateralized pools sit at the bottom. Some Maple pools, particularly those extending loans to crypto trading firms in 2022, were effectively unsecured. The yield was high, sometimes above 10 percent, and the credit work was lighter. When the borrowers failed, the lenders had no collateral to seize, and recovery depended entirely on whatever assets the borrower's estate could distribute. This is the single biggest lesson of the 2022 cycle: yield differentials across pools were largely compensation for differences in collateral quality, and the platforms that marketed double-digit unsecured yields were, in hindsight, pricing in a meaningful probability of impairment.
On-chain enforcement vs. off-chain enforcement
A common misconception is that tokenized loans can be liquidated automatically by smart contracts, in the same way that a Maker vault can be auctioned when collateralization falls below threshold. This is true for some on-chain lending protocols, like Aave or Compound, where the collateral is a token already in the protocol's contracts. It is rarely true for tokenized private credit, where the collateral is usually off-chain and the loan is governed by a legal agreement.
The tokenization layer can do useful things. It can hold tokenized collateral, like tokenized treasuries or stablecoins, in a segregated wallet that the smart contract can move under defined conditions. It can publish real-time positions, accruals, and pool composition. It can run a transparent voting mechanism for workout decisions. It can make the servicing and reporting function harder to hide.
What it cannot do is reach into the physical world. A smart contract cannot foreclose on a home in California, seize inventory in a Singapore warehouse, or compel a borrower in Argentina to turn over receivables. Those actions require legal process, and legal process takes time, costs money, and produces uncertain outcomes. The on-chain token is a representation of a legal claim, not a substitute for one.
Figure's HELOC product is an instructive example. The token, FIGR_HELOC, represents pro-rata economic exposure to a portfolio of home equity lines of credit originated on Figure's platform. The collateral is residential real estate, mostly in the United States. If a borrower defaults on the underlying HELOC, Figure's servicing arm has to follow the state-level foreclosure process, which can take a year or more in non-judicial states and several years in judicial ones. Token holders do not get their money back when the smart contract decides the loan is impaired. They get it back when the foreclosure process produces proceeds, minus servicer fees, minus legal costs, minus any senior claims on the property.
Practical implications for yield-seeking users
If you are considering an allocation to tokenized private credit, the first question is whether you can afford to wait. Even senior tranches in well-structured pools can be locked up for 12 to 36 months during a default, and the token's market price will not necessarily reflect the eventual recovery. If you need liquidity, you are betting that no defaults will occur during your holding period, because the secondary market will not give you a clean exit once a default begins.
The second question is whether the underlying credit work is real. Most platforms publish borrower information, sometimes including financial statements, and sometimes a credit memo from the pool delegate. Read that memo, not the marketing page. Look at loan-to-value ratios, covenants, borrower concentration, and the platform's historical recovery rates. If the documentation is thin, the yield is probably thin justification for the risk.
The third question is who does the workout. Tokenized credit platforms are relatively new, and many have not yet been tested through a full default cycle. Maple has now been tested, and the results were mixed: some pools recovered meaningful amounts, others did not. Centrifuge has had isolated impairments. Figure's HELOC portfolio has not yet been through a material downturn. The track record of the servicer, not the elegance of the smart contract, is the better predictor of what happens to your money in a default.
The fourth question is jurisdiction. Where is the borrower? Where is the collateral? Where will disputes be heard? If the answers are all the same jurisdiction, and that jurisdiction has a reliable court system, the enforcement path is clearer. If the borrower is in a country with weak creditor protections, or the collateral is in a country with political risk, even a senior tranche can become a long, expensive fight.
How to follow tokenized private credit the smart way
Tokenized private credit is one of the more promising experiments in the RWA space, and also one of the easiest to misread, because the on-chain wrapper can make a complex legal product look deceptively simple. Defaults will happen. The platforms that survive the next credit cycle will be the ones whose off-chain infrastructure, not their smart contracts, holds up under stress. Zippfeed tracks tokenized credit headlines, platform disclosures, and borrower-specific news with sentiment scoring, so you can see when a pool is drawing warnings before the official default notice goes out, and importance ratings that surface the stories most likely to affect recovery outcomes.
