Public data, plainly sourced

See the load before you price the risk

AI electricity evidence is scattered across company reports, research models, and projections. GREEENER.ai brings those fragments together, then works toward utility-backed records with boundaries people can actually compare.

Headline evidence

Electricity demand is moving faster than the evidence around it

The figures describe data centres, not AI workloads alone. That boundary is exactly why facility and utility evidence matters.

Modeled estimate · 2024
415TWh

TWh used by data centres worldwide

Around 1.5% of world electricity consumption, according to the IEA.

Projection · 2030
945TWh

Base-case projection for 2030

A projection, not a measured result. IEA base case.

Modeled estimate · 2023
176TWh

U.S. data centre electricity

4.4% of U.S. electricity, per Berkeley Lab.

2024 · modeled 415 TWh
2030 · projected 945 TWh

Company disclosures

Three figures, three boundaries

These disclosures help show scale. They do not isolate AI workload electricity, and their reporting scopes are not aligned.

Comparability note. Different scopes, boundaries, and reporting periods. Read these as scale indicators, not a league table or clean ranking.

Microsoft

29.8 TWh

FY24 · company disclosure · different boundary

Total organisation-wide electricity for FY24. This is not a data-centre-only figure. Converted and rounded from the disclosed 29,829,540 MWh.

Source: Microsoft 2025 Environmental Data Fact Sheet

Evidence status taxonomy

Every number needs a status

Electricity use, renewable procurement, and emissions are different records. This preview reports electricity evidence only.

CD

Company disclosure

A figure the company published, with its own boundary and period.

ME

Modeled estimate

A value derived from a model, clearly marked as an estimate.

P

Projection

A forward-looking scenario. Never dressed up as a measurement.

UC

Derived unit conversion

A published figure converted to a common unit, with the conversion shown.

UV

Future utility verification

The goal: meter-backed records with a clear facility, period, and boundary.

Provenance workflow

From a public claim to a comparable record

This is the workflow GREEENER.ai intends to build. It does not imply current utility partnerships or verified customer records.

Coverage gaps

A public record, with the caveats attached

Start with what is disclosed. Keep modeled values separate from measured ones. Make the missing evidence impossible to overlook.

Future coverage · evidence gap

Restaurant energy has a boundary problem too

Operating hours and equipment can frame the question, but they do not reveal a site’s actual electricity or fuel use.

What a useful record needs: Utility-backed electricity and gas, opening period, kitchen boundary, and a method for shared premises.

Missing evidence is the finding: no directly comparable restaurant figures are presented in this preview.

Future coverage · evidence gap

Clinical reliability changes the load story

A clinic, imaging centre, and dental practice do not share one operating profile.

What a useful record needs: Utility-backed consumption, facility type, floor area, operating period, and treatment of shared or always-on equipment.

Missing evidence is the finding: no directly comparable medical or dental figures are presented in this preview.

Future coverage · evidence gap

A venue is not the same thing as an event

Public schedules can show when a venue operates, not which loads belong to the performance, the building, or a tenant.

What a useful record needs: Utility-backed consumption, venue boundary, occupied dates, temporary equipment, and a declared allocation method.

Missing evidence is the finding: no directly comparable entertainment figures are presented in this preview.

Future coverage · evidence gap

A room-night needs a real denominator

Occupancy can help normalize a hotel’s consumption only when the energy boundary also accounts for kitchens, laundries, pools, and shared facilities.

What a useful record needs: Utility-backed electricity and fuel, reporting period, occupancy, service mix, and a boundary for shared amenities.

Missing evidence is the finding: no directly comparable hotel figures are presented in this preview.

Coming soon

Evidence that can survive the next question

GREEENER.ai is for prospective investors and utility partners who want energy claims to remain inspectable. The public preview is here now; verified records are the work ahead.

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