DTCC tokenisation launch puts post-trade systems on alert

DTCC is expected to launch the first phase of a tokenisation service in July 2026, prompting fresh scrutiny of how post-trade systems across the market will need to change.

Some in the sector see the planned rollout by the US market infrastructure group as a sign that tokenisation is moving beyond trials towards operational use in core financial plumbing. That, in turn, raises questions for brokers, clearing firms, custodians and other institutions that still rely on fragmented, manual post-trade processes.

Richard Baker, Chief Executive and Founder of Tokenovate, said the significance of DTCC's plan lies not only in the service itself but in its effect on firms connected to the system. In his view, once a central infrastructure operator adopts tokenised processes, the rest of the chain will come under pressure to keep up.

"As the world's pre-eminent post-trade infrastructure, DTCC's decision to set a launch timeline, rather than run a pilot, marks a significant inflexion point for market infrastructure. It signals that tokenisation is ready to be integrated and adopted at scale," said Baker.

"A live DTCC timeline changes the calculus for every firm connected to it. On-chain clearing and settlement will operate at a speed and precision the rest of the ecosystem will be expected to match. Firms still running fragmented, manually intensive workflows will become the bottleneck in an otherwise automated chain."

"The gains from tokenisation materialise only if the surrounding infrastructure can keep pace. Modernised post-trade operations, built on automated workflows and common data standards such as the FINOS Common Domain Model, are a precondition for realising DTCC's vision at scale. Firms that treat this as a downstream consideration will find the efficiency promises of tokenisation remain out of reach."

"That pressure is not confined to the US. As the FCA advances its wholesale digital markets agenda, the bar for modern post-trade infrastructure is being set in real time on both sides of the Atlantic. Firms that are not already building toward it will find the gap harder to close," Baker said.

Post-trade shift

In financial markets, tokenisation generally refers to the creation and transfer of digital representations of assets on distributed ledger systems. Supporters argue this can reduce reconciliation work, shorten settlement times and improve data consistency, but those gains depend heavily on the surrounding market structure.

Post-trade functions include clearing, settlement, collateral management, and record-keeping, all of which occur after trades are executed. In many institutions, these activities still involve multiple systems, duplicate records, and manual intervention, particularly when transactions span counterparties and service providers.

As a result, market participants are increasingly focused on workflow design and shared data standards as much as on the digital asset itself. If one part of the chain can process transactions in near-real time while the connected firms rely on slower, less standardised operations, the expected efficiency gains may be limited.

Baker pointed to the FINOS Common Domain Model as one example of a standard that could help firms align data and processes. Common models are intended to reduce differences in how institutions describe events, obligations and lifecycle changes, making automation easier across a market network.

Wider pressure

The implications extend beyond the US market. Baker linked DTCC's expected launch to a broader shift in regulatory and market expectations, including work in the UK on wholesale digital markets.

For internationally active firms, that means pressure may come from both infrastructure providers and policymakers. A change at a systemically important operator can influence technology budgets, operational priorities and the timetable for replacing legacy post-trade systems.

DTCC's expected launch is also notable because it suggests tokenisation is entering a more formal implementation phase within established financial market infrastructure. That would mark a shift from earlier experiments, which often remained ring-fenced from mainstream processing and had limited effect on market-wide operating models.

As larger institutions move ahead, the debate is shifting from whether tokenisation can work to what operational foundations are needed to support it. In Baker's words, firms that fail to modernise the underlying post-trade chain risk becoming "the bottleneck in an otherwise automated chain".