TWh used by data centres worldwide
Around 1.5% of world electricity consumption, according to the IEA.
Public data, plainly sourced
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
The figures describe data centres, not AI workloads alone. That boundary is exactly why facility and utility evidence matters.
TWh used by data centres worldwide
Around 1.5% of world electricity consumption, according to the IEA.
Base-case projection for 2030
A projection, not a measured result. IEA base case.
U.S. data centre electricity
4.4% of U.S. electricity, per Berkeley Lab.
Company disclosures
These disclosures help show scale. They do not isolate AI workload electricity, and their reporting scopes are not aligned.
Display value rounded after conversion, using 1 TWh = 1,000,000 MWh.
Source: Google 2025 Environmental ReportDisplay value rounded after conversion, using 1 TWh = 1,000,000 MWh.
Source: Meta 2025 Environmental Data IndexTotal 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 SheetEvidence status taxonomy
Electricity use, renewable procurement, and emissions are different records. This preview reports electricity evidence only.
A figure the company published, with its own boundary and period.
A value derived from a model, clearly marked as an estimate.
A forward-looking scenario. Never dressed up as a measurement.
A published figure converted to a common unit, with the conversion shown.
The goal: meter-backed records with a clear facility, period, and boundary.
Provenance workflow
This is the workflow GREEENER.ai intends to build. It does not imply current utility partnerships or verified customer records.
Capture the original value, period, unit, source, and disclosed boundary.
Start with what is disclosed. Keep modeled values separate from measured ones. Make the missing evidence impossible to overlook.
Seek utility evidence or a partnership to verify meter-backed records.
Request or partner for meter-backed evidence and permission to verify it.
Align the boundaries before comparison.
Make facility scope, calendar, units, and exclusions visible before comparison.
Release comparable records with provenance attached.
Release comparable records with the source and limitations beside the number.
Coverage gaps
Start with what is disclosed. Keep modeled values separate from measured ones. Make the missing evidence impossible to overlook.
Future coverage · evidence gap
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
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
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
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
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.