Tokenisation has been discussed in private credit for several years, usually as a technology story about faster settlement or fractional ownership. The more immediate reason it is gaining traction now has little to do with technology for its own sake. It is a response to a structural problem that scale has exposed: as lending platforms grow and use the same pool of receivables across multiple funding lines, tracking exactly what has been pledged to whom becomes genuinely difficult, and the consequences of getting it wrong have become very public.

Why Tokenisation Is Entering the Private Credit Conversation

Private credit has grown quickly, and growth has brought a level of complexity that the market's existing infrastructure was not built to handle. Asset visibility, who actually has a claim over a given receivable or loan, control over how that asset is used once it is pledged, and the ability to enforce a claim cleanly when something goes wrong, all become harder to maintain as a platform's funding arrangements multiply. Tokenisation has entered the conversation as an infrastructure fix for these specific problems, not as a replacement for the legal and operational discipline private credit has always depended on.

How Scale Creates Asset Opacity

Reporting-based controls work reasonably well in a simple funding arrangement, where one lender is tracking one borrower against one facility. The picture changes once a platform is running several funding lines against overlapping pools of assets, because those assets can move faster than any periodic reporting cycle can capture. A receivable reported as available in one month's report may already have been drawn down, repaid, or pledged elsewhere by the time the next report is due. Monitoring in that environment becomes reactive: a lender finds out about a problem once it has already happened, rather than having a mechanism that prevents the problem from occurring in the first place.

What the First Brands Case Revealed About Receivables Control

The risk this creates was demonstrated publicly in 2025, when First Brands Group, a large automotive aftermarket manufacturer, filed for Chapter 11 bankruptcy protection in the United States. Investigators identified roughly 2.3 billion dollars that could not be accounted for, and the allegations that followed centred on the company having pledged the same trade receivables and inventory to multiple lenders and investors without adequate disclosure to any of them. Several major financial institutions reportedly had significant exposure to the same underlying assets without realising other parties held competing claims over them. Whatever the eventual legal outcome, the case exposed a real gap: existing documentation and reporting processes had not been enough to prevent, or even quickly detect, the same collateral allegedly being pledged more than once.

How Tokenisation Prevents Duplicate Pledging

Tokenisation addresses this gap by creating a digital record of an asset's pledged status that can be checked before a new financing arrangement is agreed, rather than discovered afterwards. Once a receivable or loan is tokenised and marked as encumbered against a specific facility, that status is visible to anyone checking the registry, which makes pledging the same asset a second time far harder to do, whether by error or by design. This does not replace the underlying legal work of perfecting a security interest; it gives that legal position an operational backbone that is checked in real time rather than reconstructed after a dispute has already started.

Where Tokenisation Fits Within Securitised Structures

Tokenisation is most relevant to structures where the same underlying assets are financed repeatedly or across more than one facility. Receivables finance and other asset-backed private credit strategies fit this description directly, since the same pool of receivables can be drawn down, repaid, and replaced many times over the life of a programme. Warehouse facilities, which fund assets ahead of a later securitisation, and re-securitisations, where an existing pool is repackaged into a new structure, both carry the same risk of overlapping claims if the underlying assets are not tracked precisely as they move between facilities.

Tokenisation as Operational Discipline, Not Technology for Its Own Sake

Tokenisation does not remove the need for legal documentation, trustees, or audits, and it should not be presented as though it does. What it changes is how tightly an issuer can control which assets are pledged where, and how quickly a lender or investor can confirm that the assets backing their exposure have not also been pledged somewhere else. Framed this way, tokenisation is closer to an operational control than a technological innovation, and it earns its place in a transaction structure the same way any other control does, by reducing a specific, identifiable risk rather than by being new.

Where Adoption Is Likely to Continue

Adoption is likely to concentrate where the underlying risk is greatest. Assets that are reused across more than one funding line, actively managed rather than held to maturity, subject to a borrowing base that has to be recalculated regularly, or exposed to the risk of a competing security claim are all strong candidates for tokenisation. A simple, single-lender facility against a static pool of assets has much less need for it, because the coordination problem tokenisation solves barely exists in that setting.

What This Means for Private Credit Going Forward

Tokenisation is a response to a structural blind spot that scale has introduced into private credit, not a judgement on the credit quality of the underlying assets. The First Brands case did not happen because the loans or receivables involved were poor credit risks; it happened because the infrastructure tracking who had a claim over which asset was not equal to the complexity of the funding arrangements built on top of it. As more capital flows into asset-based and receivables-driven strategies, closing that infrastructure gap is likely to matter as much to investors as the credit analysis they are already doing.