AI infrastructure is usually measured by what has been ordered: GPUs purchased, capex announced, gigawatts "in development". Investors, lenders and even markets increasingly treat these numbers as if they were capacity. They are not. Compute becomes capacity only when it sits in an energised, cooled, permitted building. Between the order and the power-on date lies a delivery gap, and in 2026 that gap is widening.

ORDERS MOVE AT THE SPEED OF CAPITAL

A GPU order can be placed in weeks. Capex commitments are announced in the hundreds of billions: Goldman Sachs estimates around $7.6 trillion of AI capex over 2026–2031, and Jefferies counts some 34 GW of hyperscaler capacity in development. Capital is not the constraint. It moves fast, and it is visible.

INSTALLATION MOVES AT THE SPEED OF PHYSICS AND PROCEDURE

Grid. In France, an RTE connection takes around 18 to 36 months on a brownfield site that is already connected, and 3 to 5 years on a greenfield site. Queues are crowded with projects that will never be built, which complicates planning for everyone else.

Equipment. Major transformer manufacturers quote 48 to 60 months or more. Grid operators are reserving factory capacity years ahead, as the €350M Hitachi Energy–Enedis agreement shows, leaving less room for late private buyers.

Permits and community. A single permit can stall a campus: Oracle's New Mexico project waits on a gas pipeline right-of-way, and its loans have been reported trading around 90 cents. In France, several projects face legal challenges or local campaigns.

WHY THE GAP MATTERS

For an operator, ordered-but-uninstalled compute is capital that does not earn. GPUs waiting for a building still age: each new chip generation erodes the value of the previous one, whether it is running or not. For a lender, the gap is the period in which interest accrues and debt service depends on a date nobody fully controls. For equity investors, it means announced capacity figures overstate what will actually generate revenue in a given year.

HOW TO READ AI INFRASTRUCTURE NUMBERS

Three questions for any capacity figure Is the grid connection signed, and when is energisation contractually due?
Is the high-voltage equipment ordered, with a confirmed delivery slot before that date?
Are all authorisations final and clear of challenge?

If the answer to any of these is no, the capacity is ordered, not installed. That distinction is at the heart of our due diligence for lenders and funds. See also what lenders miss in AI data center due diligence.

FREQUENTLY ASKED QUESTIONS

What is the difference between compute ordered and compute installed?

Compute ordered is GPUs and capacity purchased or announced. Compute installed is capacity running in an energised, cooled and permitted data center. The gap between them is set by grid connection, equipment supply and permits.

Why is the AI data center delivery gap widening?

Capital and chip orders move quickly, while grid connections, high-voltage equipment and permits take years. As orders accelerate, the backlog of capacity waiting for power grows.

Why does it matter for lenders and investors?

Revenue and debt service start at energisation. Every month of delay between order and power-on is capital that does not earn, while interest accrues and hardware loses value.