European waterfront business district at blue hour, floors lit and occupied European waterfront business district at blue hour, floors lit and occupied

Building AI needs a data centre. Using it does not.

It can now run in the workplace, on Secondary Thermal Compute Cells sized to the power a building already has.

Lean-verified Deterministic In-jurisdiction

Copenhagen · 1987

Europe has done this before.

In September 1987 fifteen national operators met in Copenhagen and each signed their own page of a single agreement. It committed them to a pan-European digital network by 1991. Vodafone's chairman later called it the most important document in the history of the mobile phone.

What it committed them to was not scale. Analogue mobile ran on few high-power transmitters. Cellular replaced them with many small cells, sited where people already were. The network went to the user, and the manufacturers who built to that standard became Ericsson and Nokia.

AI is at the same point now. The models are built. What remains is putting them to work. In the workplace.

That unit is the Secondary Thermal Compute Cell, or STCC: a machine sized to the power a building already has, sited where the work happens.

01

75%

Share of AI compute needs that is inference by 2030. Allodial builds the STCC.

Brookfield

02

Two thirds

Share already reached in 2026, up from one third in 2023.

Deloitte

03

93.3 GW

AI inference demand in 2030, from 20.9 GW in 2025.

McKinsey

High voltage transmission substation under overcast sky

Gate one · Permit

Transmission is the constraint.

A facility builds in 18 to 24 months. In Frankfurt, London, Amsterdam, Paris and Dublin it then waits seven to ten years for a connection. Ireland holds €5.8 billion in permitted projects that cannot energize. The Netherlands closed new hyperscale in January 2024. ACER put congestion costs at €4.3 billion in 2024.

Europe holds the capital, the sites and the permits. The missing input is transmission, and transmission takes a decade.

Occupied commercial floor, exposed services and daylight

The substrate

Class A commercial buildings already carry the power.

Training needs every chip on one fabric. Inference does not.

Electrical and cooling capacity sits provisioned above what current occupancy draws. A nine kilowatt node draws roughly what a floor of lighting draws.

In an occupied Northern European building, the heat it sheds is heat the building would otherwise buy, which satisfies the national reuse obligation without a district heating offtaker.

Building electrical riser room, switchgear and conduit

Gate two · Build

The capacity is committed. It arrives after 2030.

Italy holds more than 50 gigawatts of data centre connection requests across more than 300 projects. Denmark's data centre queue reaches 14 gigawatts against a national peak demand of seven.

Two gigawatts is twenty percent of European data centre load, sited in buildings that already stand and running before the queue clears. The pipeline still arrives. Europe meets it already operating.

Three-phase metering panel on concrete

Gate three · Run

Fund the parallel track from the committed envelope.

The halls proceed unchanged. Redirect a defined percentage of committed AI infrastructure budget to capacity that energizes inside the current parliamentary term, as insurance against queue slippage.

Every node reports into the European Database on Data Centres regardless of threshold, and utilization and cost per delivered token are published as measured. The evidence accumulates in public, and the programme scales on it.

Open a conversation

A technical due-diligence packet is available on request.

For more information, please contact us. Full data room access is available to qualified entities.

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