Used by data centres worldwide — around 1.5% of world electricity consumption.
Source: IEA, Energy and AI
Evidence for the electricity behind AI — public data, plainly sourced
AI electricity evidence is scattered across company reports, research models, and projections. GREEENER.ai intends to bring those fragments together, then work toward utility-backed records with boundaries people can actually compare.
No utility-verified records published yet — that gap is shown deliberately.
used by data centres worldwide — around 1.5% of world electricity, according to the IEA.
A projection, not a measured result. IEA executive summary
Built on primary public sources — provenance attached
01 — Public-data preview
Start with what is disclosed. Keep modeled values separate from measured ones. Make the missing evidence impossible to overlook.
Used by data centres worldwide — around 1.5% of world electricity consumption.
Source: IEA, Energy and AI
Used by U.S. data centres — 4.4% of U.S. electricity consumption.
Source: Berkeley Lab, 2024 report
IEA Base Case for data centres worldwide. A projection, not a measurement.
Source: IEA, energy demand from AI
02 — The scale story
The figures describe data centres, not AI workloads alone. That boundary is exactly why facility and utility evidence matters.
the 2024 estimate, if the base case holds. Modeled estimate and IEA Base Case projection — read the source analysis.
A scenario range, not a measured future. Berkeley Lab’s summary
03 — Company disclosures
These disclosures help show scale. They do not isolate AI workload electricity, and their reporting scopes are not aligned.
Data-centre electricity, calendar 2024. Disclosed source value 30,825,600 MWh; display value rounded after conversion, using 1 TWh = 1,000,000 MWh.
Source: Google 2025 Environmental Report
Data-centre electricity, calendar 2024. Disclosed source value 18,061,781 MWh; display value rounded after conversion, using 1 TWh = 1,000,000 MWh.
Total organisation-wide electricity for FY24 — not a data-centre-only figure. Converted and rounded from the disclosed 29,829,540 MWh. The fiscal-year period and organisation-wide boundary make direct comparison especially unsafe.
04 — Future utility verification
GREEENER.ai does not currently publish utility-verified customer records. The intended next step is to request or partner for evidence that can support a clear facility, period, and boundary.
Evidence status
No utility-verified records published yet. That gap is being shown deliberately.
Metered or billed electricity by facility and reporting period, with consent to verify the record.
Service territory, site boundary, shared-load treatment, and the exact dates covered.
A claim becomes decision-grade only when its source, scope, and limitations remain inspectable.
05 — Intended verification workflow
This is the workflow GREEENER.ai intends to build. It does not imply current utility partnerships or verified customer records.
Start with public disclosures
Capture the original value, period, unit, source, and disclosed boundary.
Seek utility evidence
Request or partner for meter-backed evidence and permission to verify it.
Align the boundaries
Make facility scope, calendar, units, and exclusions visible before comparison.
Keep provenance attached
Release comparable records with the source and limitations beside the number.
Electricity use, renewable procurement, and emissions are different records. This preview reports electricity evidence only.
A value reported by an organisation. Its boundary may cover a company, selected sites, or data centres; it is not automatically AI-only electricity.
A calculated value built from sector data and assumptions. It is not a direct aggregation of every facility meter.
A future scenario under stated assumptions. It is neither a commitment nor a measured result.
A display value converted from the disclosed unit. Here, 1 TWh = 1,000,000 MWh, with company values rounded to one decimal place.
Utility or meter evidence checked against a named site, period, and boundary. GREEENER.ai does not yet present records with this status.
06 — Future coverage
Four sectors where a comparable record does not exist yet. GREEENER.ai will not publish a sector figure without comparable evidence — so the gaps are shown as gaps.
Operating hours and equipment can frame the question, but they do not reveal a site’s actual electricity or fuel use. No sector figure without comparable evidence.
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 figures presented.
A clinic, imaging centre, and dental practice do not share one operating profile. Equipment inventories may indicate likely drivers, but utility evidence is still needed to establish actual use.
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 figures presented.
Public schedules can show when a venue operates, not which loads belong to the performance, the building, or a tenant. A comparable record needs those allocations to be explicit.
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 figures presented.
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 figures presented.
07 — Method and sources
Every figure on this page traces to one of these public documents.
08 — For investors & utility partners
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.