It is a well–known ‘truth’ that there is an ocean of capital sitting just off the crypto-shore, ready to make capital investments in the crypto space in order to take advantage of the unprecedented, generally uncorrelated returns of the asset class. This has been and continues to be ‘true’ and the alleged ‘institutions coming’ has now stretched over a period of at least ten years by our own reckoning. Those understaffed regulators have often been the identified cause of this institutional trepidation but this simple narrative continues to be challenged even as the regulations are being actively evolved. As of November 2025, US-based institutions have awoken from their decade long hibernation – yet what the future will hold only the future will reveal … in good time.
As almost always, the real truth is much more complex but a significant aspect is bound to the interplay between the continued proliferation of blockchain implementations, their institutional capabilities [as reflected through the GØLDCHAIN blueprint], and the long–term support of these platforms. Technology platform decisions in [financial] enterprises are often taken with a relatively long–term horizon in mind and considerable weight is applied to ensuring the existence of appropriate support models for the time period in question. Moreover, competing and conflicting priorities and the high–availability requirements mean that technology solutions are often fixed for many years with the upgrade cycle in financial services often stretches from seven up to twenty years [or more] for core foundational systems [– for example, it has taken one of the major global financial institutions 25 years from the date of communicating their intentions to retire all mainframes to being able to finally turn off the lights of the last relict from the computing past].
Hence, there is a need to mitigate technology choices [and associated risk] by considering the longevity of adopted systems, as well as the availability of long–term support from a plethora of suppliers – nobody is comfortable being reliant on a single, even ‘well–intentioned’, supplier that might hike prices or switch focus to another product. @ pixel time November 2025, except for the relatively widespread adoption of the Ethereum Virtual Machine [EVM] as a smart contract programming layer, few pieces of a blockchain implementation are reused or reusable across other implementations. Additionally, almost all blockchains are supported either through an open—source community or through a single company that is providing engineering expertise. Combined with the sheer breadth of choice for a potential blockchain implementation, this situation makes it incredibly difficult for a financial institution to adopt blockchain for critical operations [which is exactly what blockchain could be best–placed to optimize].
Alas, and no matter, we have been here before. In 1991 Linus Torvalds released the first version of his free Unix–like kernel – Linux – for the Intel 80386 microprocessor. Similar to Bitcoin and Ethereum, Linux attracted a dedicated community relatively quickly. It took advantage of the GNU tools [a free set of user–focused system components that had been developed since 1983, but lacked a functional kernel] to allow multiple distributions [of Linux plus GNU components, called GNU/Linux] to be created and distributed via early online mechanisms and computer magazine cover CDs [when the internet was too slow for the efficient distribution of large files]. And although this dedicated community would eventually start to experiment with the Linux operating system in enterprise and production environments, it would take the emergence of a dedicated cadre of companies [i.e., Red Hat in 1995] to provide long–term and paid–for support before institutions could move their experiments into regulated production environments.
In a different field, it was Sun Microsystems that, in 1998, created the Java Platform Enterprise [JPE] as it saw the popularity of the Java language take off and needed to capitalize on its software investments. A strong [open—source] community developed relatively quickly and Sun managed to steer the development through a strong focus on creating standards that could be widely adopted. When the platform was relabeled Java 2 Enterprise Edition [J2EE] a number of other companies [including IBM with its WebSphere products, BEA WebLogic, Red Hat JBoss] were quick to provide their own implementations that ensured institutions were not beholden to a single systems provider. As a consequence, the adoption of J2EE across the enterprise, particularly in financial services, was achieved almost completely within a few years.
In both of these cases we have seen the solutions mature into an [at times uneasy and fragile] equilibrium between community–driven feature development and experimentation counter–balanced by broad–based enterprise support across multiple companies. The current proliferation of blockchain implementations looks comparatively weak in terms of ensuring a set of standards that can be interchangeable for feature selection by institutions, as well as preventing a uniform support standard that can be ubiquitously provided without reliance on a single provider. As of November 2025, if an organization contemplates utilizing a blockchain in the core of their systems they necessarily need to invest in the support themselves, just as JP Morgan invested in for Kinexys [formerly Onyx].