A Market Trend Taking Shape

Tokenisation is becoming a recurring theme in private credit, not because the asset class is changing, but because the risks around asset visibility, control, and enforcement are becoming harder to ignore. As private credit markets have expanded, so too has the complexity of how assets are financed, pledged, and monitored. Tokenisation is increasingly discussed as a way to address those pressures at an infrastructure level.

Private credit strategies today are larger, more repeatable, and more interconnected than they were a decade ago. Loan pools are refinanced, receivables are funded across multiple facilities, and capital is recycled continuously. While these structures can be robust, they place significant strain on traditional methods of tracking ownership and security interests. The result is not necessarily poor credit performance, but operational and legal risk that only becomes visible when something breaks.

Scale, repetition, and asset opacity in private credit

Much of private credit still relies on reporting-based controls. Receivables schedules, borrowing base certificates, and periodic audits are used to demonstrate asset coverage. These tools work well in bilateral or lightly syndicated settings. They are less effective when the same asset base supports multiple layers of financing or when reporting cycles lag behind reality.

As private credit has scaled, this gap has widened. Assets move faster than reports. Facilities overlap. Monitoring becomes retrospective rather than real time. In benign conditions, this rarely causes disruption. In stressed situations, it can become decisive.

This dynamic has sharpened market focus on how assets are identified, tracked, and restricted across structures.

First Brands and the problem of double pledging

The bankruptcy of First Brands Group brought these issues into sharp relief. The case highlighted how receivables could be pledged across different financing arrangements without sufficient transparency or control. Lenders discovered that assets they believed to be secured were subject to competing claims, with documentation and reporting failing to prevent overlap.

The issue was not that receivables finance is inherently flawed. It was that control of the asset base relied too heavily on representations and periodic checks, rather than on a system that could prevent double pledging at source. By the time discrepancies became clear, enforcement options were already constrained.

For private credit investors, this episode reinforced a familiar lesson: structural risk often sits outside underwriting models. It emerges from how assets are tracked, not from their performance.

Why tokenisation enters the discussion

Tokenisation is increasingly examined as a response to this specific problem. At its most basic level, tokenisation allows a private credit asset — such as a loan or receivable — to be represented in a digital registry where ownership and transfer rules are explicit and enforced before a transaction occurs.

This does not change the legal nature of the asset. The receivable remains governed by contract law. Security interests remain documented off-chain. What changes is how economic control is represented and restricted.

In a tokenised structure, an asset or pool can be marked as encumbered in a way that prevents it from being pledged again without an explicit release. Transfers can be blocked if they would breach predefined conditions. While this does not eliminate legal risk, it reduces reliance on after-the-fact discovery.

Tokenisation and securitised private credit structures

The relevance of tokenisation is most obvious in securitised or quasi-securitised private credit strategies. These already rely on defined asset pools, eligibility criteria, and cashflow waterfalls. Tokenisation does not introduce new concepts; it provides a different mechanism for enforcing existing ones.

Where receivables or loans are funded through repeat issuance or multiple facilities, tokenised representations can improve consistency between what documentation permits and what operations allow. This is particularly relevant in strategies involving:

  • Receivables finance
  • Asset-backed private credit
  • Warehouse facilities
  • Re-securitisations or refinancing programmes

In these cases, the risk is not poor asset quality but loss of control as complexity increases.

Operational discipline rather than technological ambition

It is important to be clear about what tokenisation does not do. It does not replace legal documentation. It does not remove the need for administrators, trustees, or audits. It does not guarantee priority in insolvency. Those outcomes still depend on enforceable contracts and jurisdictional law.

What tokenisation offers is tighter operational discipline. It makes certain breaches harder to execute rather than easier to detect later. That distinction matters in private credit, where recoveries often depend on who acts first and with what evidence.

For managers and investors, this shifts the conversation from efficiency to risk containment.

Where adoption is likely to continue

The tokenisation of private credit assets is unlikely to be universal. Highly bespoke transactions gain little from it. Strategies with limited asset turnover may see minimal benefit. Adoption is most likely where assets are:

  • Reused across funding lines
  • Actively managed rather than held to maturity
  • Subject to borrowing base constraints
  • Sensitive to competing security claims

In those environments, the cost of improved control is increasingly justified.

A structural response to structural risk

The interest in tokenisation reflects a broader recognition within private credit markets. As the asset class grows, the most serious risks are no longer found in headline yields or default rates. They sit in the mechanics of asset control, enforceability, and transparency.

Cases such as First Brands underline that point. Tokenisation is not a solution to credit risk, but it is being explored as a way to reduce the structural blind spots that scale has introduced.

For that reason, it is best understood not as innovation, but as infrastructure catching up with reality.