The AI infrastructure stack, explained.

The data-center capital stack is the set of distinct assets that sit at a single data-center address: land and interconnection, the shell and fit-out, generation and power equipment, and the compute inside. They share a location and almost nothing else — their economic lives differ by an order of magnitude, their dominant risks are unrelated, and each is naturally held and funded by a different kind of capital. Reading the stack layer by layer, rather than as one building, is the starting point for every structuring decision in the sector.

Powered land is a parcel where the power is already solved — through a secured grid interconnection, transmission access, or on-site generation — so a data center can be energized in months rather than years. In an AI buildout gated by electricity, it has become the most valuable input in the chain.

A powered shell is a completed or near-completed building with secured power delivered to it and connectivity pathways in place, but without the tenant-specific IT fit-out. The tenant is buying three things: a schedule it did not have to originate, a power position it did not have to secure, and design control over the part of the facility that differentiates its operation. The commercially decisive question is where the demarcation line between landlord and tenant scope sits, because that line decides which capital funds which half of the building.

Speed-to-power is how fast a data center can go from a signed site to live, reliable megawatts. With grid interconnection taking four to seven years, developers increasingly buy speed with on-site and behind-the-meter generation — turning time-to-power into the variable that wins deals.

Energization is the point at which a facility can first draw firm power at a defined capacity, as distinct from being built, connected, or commissioned. It is the pivot date of a data-center structure: construction financing is sized to it, equipment deliveries are sequenced against it, leases and offtake commence from it, and revenue starts after it. Because so many obligations key off a single date, the substantive question in most structures is not when energization is forecast but who carries the cost if it moves.

An interconnection queue is the ordered process a utility or system operator uses to study and connect new load or generation to the grid. A position in that queue is site-specific, capacity-specific and conditional, and it is the input every other layer of a data-center project waits on. Because the queues in the major markets run years long, the position — not the megawatts — is the scarce asset, and most of the work of holding one is avoiding the ways it can be forfeited.

Entitlement is the set of land-use approvals — zoning, special or conditional use permits, site plan approval, air and water permits, building permits — that make the intended use of a parcel lawful. It is not administrative overhead; it is a condition precedent, because until it is resolved no other layer of the project can be built and none of the capital behind them can be drawn. The distinction that governs pricing is whether the use is permitted as of right or requires a discretionary approval, because a discretionary approval is an option held by someone who is not a party to the deal.

Behind-the-meter generation is electricity produced on the customer's side of the utility revenue meter and consumed by the facility directly, without passing through the transmission system. It is used in data-center development mainly to escape the interconnection timeline, and it works. What it also does is replace a tariff relationship — where the utility carries reliability, fuel and dispatch — with an operating business the project now owns, which is a credit change as much as an engineering one.

A power purchase agreement, or PPA, is a contract between an electricity producer and a buyer covering volume, price and term. In a data-center context it runs in two directions: the facility buys power under one, and the facility's own credit is frequently what makes new generation financeable under another. What a PPA actually transfers is set by its shape rather than its existence — a fixed-price, firm, baseload contract is a different instrument from an as-generated one at an indexed price, and only one of them supports a facility that runs continuously.

Data-center capital structuring finances a project on the strength of its contracted revenue, not its real estate. Long-term leases to creditworthy hyperscalers are ring-fenced in SPVs and underwritten like corporate credit — letting developers raise scalable, lower-cost capital and move faster.

Project finance is capital advanced to a standalone project entity and repaid from that project's own cash flow, secured on its own assets and contracts, with limited or no recourse to the sponsor behind it. It is not a cheaper way to borrow — it is a different question being asked. Corporate borrowing tests a company; project finance tests a set of contracts, and it is only available where those contracts allocate every material risk to a party able to bear it.

A special-purpose vehicle is an entity created to hold one asset or project and carry on no other business, so that the asset's cash flow can be financed without the rest of its owner's affairs reaching it — and without the asset's own risks reaching the owner. The separation is only as good as the covenants and documentation that create it: an entity labelled an SPV while sharing accounts, staff and obligations with its parent is a name, not a ring fence. In a data center it is the mechanism that lets four layers with incompatible economic lives be financed separately.

A construction loan funds the building of an asset rather than its operation: it is drawn in stages against verified progress, carries interest that is usually capitalised rather than paid from cash flow, and matures shortly after completion. It is never repaid by the project's own operations, because the project has none while it is being built. It is repaid by a takeout — a term financing, a sale, or a leaseback — and a build with no identified takeout is an equity position wearing a loan's name.

In a sale-leaseback, the owner of an asset sells it and simultaneously leases it back, so the capital tied up in the asset is released while its use continues without interruption. What has been sold is not the use of the asset — that is retained — but ownership, the end-of-term position, and a measure of control. It is a way of converting an owned asset into a payment obligation, and its price is set almost entirely by what the buyer thinks the asset will be worth when the lease ends.

A letter of credit is an undertaking by a bank to pay a named beneficiary on presentation of specified documents, independent of the underlying contract and of any dispute under it. Its function is substitution: the beneficiary is relying on the bank's credit rather than on the applicant's. In a data-center build it is what makes a utility, a turbine supplier or a landlord willing to deal with a project entity that has no credit history of its own.

Offtake is a contracted commitment by a buyer to take — or to pay for — the output a project produces, for a defined period and on defined terms. It is what converts an input into a project: without it there is an asset and a forecast, with it there is a payment obligation owed by a named counterparty. Every layer of a data center has its own form of offtake, and the layer that has none is being financed on somebody else's.

A take-or-pay contract obliges a buyer to pay for a contracted quantity whether or not it actually takes it, provided the seller stands ready to deliver. Because payment does not depend on the buyer's own demand materialising, the obligation behaves like a debt of the buyer rather than a projection of its behaviour — which is precisely why capital can be sized against it. A consumption-based contract with no minimum is a commercial relationship, not a cash flow, however large the expected volumes.

The debt service coverage ratio compares the cash a project generates in a period against the debt service due in that period. Above 1.0 the project covers its obligations; the margin above 1.0 is the headroom before it does not. Its practical importance is that it sizes the facility rather than merely grading it — capital is advanced in the amount whose service the cash flow covers at the required ratio, which means the sizing runs backwards from cash flow rather than forwards from cost.

Tenor is the length of a financing: the period from drawdown to final maturity, or the term of a lease. It is a separate question from how much capital is advanced and how fast it is repaid, and it is the one most often decided by default. Three durations have to line up — the asset's economic life, the term of the contract behind it, and the maturity of the money — and in a data center those three differ by an order of magnitude between layers.

Residual value is what an asset is expected to be worth when a term ends. It is an assumption, not a fact, and it is embedded in every lease and in every facility that does not repay in full over its life. The question that decides a structure is not what the residual is but who is holding the guess: whoever holds it absorbs the difference between the assumption and the outcome, and across a data center's four layers that difference ranges from negligible to the largest exposure in the deal.

A stranded asset is one that still functions but can no longer generate enough return to support the capital committed against it. It is distinct from an obsolete asset, which no longer works, and from an impaired one, which is an accounting position. Strandedness is relational rather than intrinsic — the same equipment is stranded in one structure and productive in another — which is why most of the work of avoiding it is done when the deal is arranged rather than when the asset is bought.

A neocloud is a specialist compute provider that acquires accelerators at scale and sells access to them, rather than running them for its own workloads. As a counterparty it is neither a hyperscaler nor a colocation provider: it has no diversified business to cross-subsidise a downturn, and it sells compute rather than space and power. The distinctive credit feature is correlation — its revenue, its collateral value and its refinancing capacity all depend on the same variable, so they weaken together rather than in sequence.