
Racheal Muldoon
Partner | Legal
London
Racheal Muldoon
Partner
London
AI is usually discussed as a story of technological innovation, geopolitical competition and model capability. Less attention is paid to the value embedded in the infrastructure that powers it.
Recent analysis by Boston Consulting Group (BCG) estimates that the AI compute market could grow from approximately US$360 billion in 2025 to US$2.3 trillion by 2030. More importantly, BCG points to a market moving towards greater transparency, liquidity and financial sophistication, with benchmark pricing, risk-management tools and more efficient infrastructure financing models likely to follow.
For boards, investors, founders, family offices and advisers, the significance is not only the scale of the opportunity, but the direction of travel. Compute is moving from operational expense to investable economic resource. This transition is raising questions around ownership, transferability, financing and governance, particularly in jurisdictions like the Cayman Islands, which specialise in structuring emerging asset classes.
The evolution of a new asset class often follows a familiar pattern:
What begins as an operational necessity can become something capable of being financed, transferred, securitised or incorporated into investment products.
That process is financialisation: the point at which an economic resource attracts the instruments of modern finance. Funds emerge, lending markets develop, collateral arrangements become possible, structured products are created and digital representations of rights begin to appear.
This has already happened across digital assets, including tokenised securities. AI compute may now be following a similar path, creating particular opportunities from a Cayman Islands structuring perspective.
Historically, compute has been consumed like electricity or telecommunications capacity: bought on demand and treated as operating expenditure. That analysis becomes less straightforward where organisations invest in dedicated infrastructure, long-term graphics processing unit (GPU) access agreements or enforceable rights to future compute capacity. In those cases, compute may start to resemble a capital asset, commercially and potentially from a legal and accounting perspective.
Value increasingly sits not just in the service consumed, but in the rights themselves. Long-term compute arrangements may generate predictable revenues, support financing, become transferable or form part of a broader AI infrastructure market. BCG's expectation of benchmark pricing and compute-linked trading mechanisms reflects that direction of travel.
Legally, the distinction matters. Once compute-related rights can be owned, monetised and assigned, they begin to resemble economic property. The focus then shifts from technology to legal and commercial infrastructure: how those rights are held, governed, financed, valued and enforced.
That is highly relevant to international finance centres such as the Cayman Islands, which have long structured capital around emerging asset classes: from complex financial instruments and IP, to digital assets and tokenised rights. As AI compute becomes scarcer and more economically significant, the rights to access and control capacity may themselves become investable, financeable and transferable assets.
Cayman's relevance is not AI development itself, but its established role as a platform for owning, financing and transferring economic rights across borders.
Whether the asset is a private equity portfolio, infrastructure revenue, receivables, IP, digital assets or a structured finance transaction, the legal challenge is often the same: capital needs a framework through which value can be pooled, managed, financed, transferred and protected.
Cayman already sits at the intersection of investment funds, private capital, structured finance and digital assets. As compute capacity becomes rarer, more valuable and contractually allocatable, many existing legal and structuring tools can be adapted. The scale of Cayman's funds industry reinforces this position: CIMA reported 13,013 mutual funds and 18,132 private funds as at Q2 2026.
The clearest near-term application is the investment funds sector. Investors have traditionally accessed AI through equity in technology companies, semiconductor manufacturers and infrastructure providers. Over time, strategies may become more directly linked to compute economics.
Future funds could invest in data centre platforms, GPU leasing businesses, AI infrastructure private credit, cloud-capacity arrangements, supporting power assets or rights linked to decentralised compute networks. Managers may seek exposure to contractual compute revenues much as infrastructure funds invest in transport, energy and telecoms assets.
Cayman's funds framework is tried and tested for emerging asset classes of this kind. The analysis usually turns on the characteristics of the vehicle and investor rights, rather than the novelty of the underlying asset. Mutual funds and private funds may therefore be attractive vehicles for institutional exposure to AI infrastructure economics.
The more challenging questions are likely to relate to valuation, liquidity and governance. Unlike publicly traded securities, many AI-related assets derive value from commercial arrangements, dedicated infrastructure and / or long-term contractual rights. Fund managers, directors, administrators and auditors will therefore need increasingly sophisticated approaches to pricing, disclosure and risk management if compute rights themselves are to form part of institutional portfolios.
The parallels with digital assets are difficult to ignore.
For more than a decade, digital assets have converted economic rights into transferable digital representations. Cryptocurrencies have been followed by tokenised treasuries, funds and real-world assets or RWAs.
Whether compute ultimately develops at scale into a recognised asset class remains to be seen. However, access to compute is acquiring those economic characteristics that investors are already very familiar with.
As the market evolves, the focus will likely shift from technological capability to the legal frameworks through which compute-related rights are owned. In this market, jurisdictions such as Cayman with established expertise will likely play an increasingly important role.
Ogier's Technology and Web3 team brings together specialists in investment funds, digital assets, private capital and structured finance to help clients navigate new technologies and evolving investment models.
For more information, contact Racheal or learn more about our Technology and Web3 team.
Ogier is a professional services firm with the knowledge and expertise to handle the most demanding and complex transactions and provide expert, efficient and cost-effective services to all our clients. We regularly win awards for the quality of our client service, our work and our people.
This client briefing has been prepared for clients and professional associates of Ogier. The information and expressions of opinion which it contains are not intended to be a comprehensive study or to provide legal advice and should not be treated as a substitute for specific advice concerning individual situations.
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