Evidence for the electricity behind AI — 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 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.

Modeled estimate 2024
415 TWh

used by data centres worldwide — around 1.5% of world electricity, according to the IEA.

Projection 945 TWh base case · 2030

A projection, not a measured result. IEA executive summary

0 MWh drawn since you opened this page derived from the 2024 modeled rate

Built on primary public sources — provenance attached

IEA · Energy and AI Berkeley Lab · 2024 U.S. Data Center Energy Usage Report Google · 2025 Environmental Report Meta · 2025 Environmental Data Index Microsoft · 2025 Environmental Data Fact Sheet IEA · Energy demand from AI Berkeley Lab · 2028 scenario summary

01 — Public-data preview

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.

Modeled estimateGlobal · 2024
415TWh

Used by data centres worldwide — around 1.5% of world electricity consumption.

Source: IEA, Energy and AI

Modeled estimateU.S. · 2023
176TWh

Used by U.S. data centres — 4.4% of U.S. electricity consumption.

Source: Berkeley Lab, 2024 report

ProjectionGlobal · 2030
945TWh

IEA Base Case for data centres worldwide. A projection, not a measurement.

Source: IEA, energy demand from AI

02 — The scale story

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.

Current estimate → base case

IEA · 2025
2024Modeled
415 TWh
2030Projected
945 TWh
×2.3

the 2024 estimate, if the base case holds. Modeled estimate and IEA Base Case projection — read the source analysis.

Modeled estimateU.S. · 2023

U.S. data centres

Electricity
176 TWh
U.S. share
4.4%

Source: Berkeley Lab’s 2024 report

Projection rangeU.S. · 2028

The range is the point

Electricity
325–580 TWh
U.S. share
6.7–12%

A scenario range, not a measured future. Berkeley Lab’s summary

03 — 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.

Company disclosureUnit converted

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

Company disclosureUnit converted

Data-centre electricity, calendar 2024. Disclosed source value 18,061,781 MWh; display value rounded after conversion, using 1 TWh = 1,000,000 MWh.

Source: Meta 2025 Environmental Data Index

Company disclosureDifferent boundary

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.

Source: Microsoft 2025 Environmental Data Fact Sheet

04 — Future utility verification

A utility bill is not yet a public record

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.

a

What we would seek

Metered or billed electricity by facility and reporting period, with consent to verify the record.

b

What must travel with it

Service territory, site boundary, shared-load treatment, and the exact dates covered.

c

Why verification matters

A claim becomes decision-grade only when its source, scope, and limitations remain inspectable.

05 — Intended verification 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.

  1. Gather

    Start with public disclosures

    Capture the original value, period, unit, source, and disclosed boundary.

  2. Request

    Seek utility evidence

    Request or partner for meter-backed evidence and permission to verify it.

  3. Normalize

    Align the boundaries

    Make facility scope, calendar, units, and exclusions visible before comparison.

  4. Publish

    Keep provenance attached

    Release comparable records with the source and limitations beside the number.

Every number needs a status

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

Company disclosure

A value reported by an organisation. Its boundary may cover a company, selected sites, or data centres; it is not automatically AI-only electricity.

Modeled estimate

A calculated value built from sector data and assumptions. It is not a direct aggregation of every facility meter.

Projection

A future scenario under stated assumptions. It is neither a commitment nor a measured result.

Derived unit conversion

A display value converted from the disclosed unit. Here, 1 TWh = 1,000,000 MWh, with company values rounded to one decimal place.

Future utility verification

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

Missing evidence is the finding

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.

AI companies · preview Utilities · requested Restaurants · gap Medical & dental · gap Entertainment · gap Hotels · gap
Evidence gap · Restaurants

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. 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.

Evidence gap · Medical & dental

Clinical reliability changes the load story

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.

Evidence gap · Entertainment

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. 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.

Evidence gap · Hotels

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 figures presented.

08 — For investors & utility partners

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.

Client-side demo — nothing is sent anywhere yet. That, too, is disclosed.

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