How we know

Every number Hum shows, where it comes from, how sure we are, and every time we changed it. Calculated numbers are marked, and where a source published no figure we say so.

What the verdicts mean

Each answer to a claim gets one of four verdicts. A verdict can’t be stronger than its evidence: if only a company says so, the answer is labelled “company figures”.

✓ YES
The evidence supports the claim as people usually say it.
◐ PARTLY
True in part, in some places, or only for older figures. The answer says which part.
✕ NO
The evidence contradicts it, even at the highest published estimate.
? NOBODY KNOWS
No one has published enough to say. The answer says what’s missing.

Labels on every figure: Measured · Estimated · Calculated by Hum (our arithmetic, shown under “Hum’s sums”, and checked by the build) · Company says so (not independently checked) · Forecast · Data row (copied from a published dataset and checked against the file).

Both sides: every answer that says your own use is small also gives the total, because one question is tiny and all of them together are not. Figures that measure different things are never ranked against each other.

Kept fresh: every Monday an automatic check downloads every page Hum quotes and confirms each quote is still there. A quote that changed or vanished is flagged for a person to re-read, and the answers that use it are updated.

Your privacy on the cards: your guesses and score stay on your device. Nothing you choose is sent to us.

The numbers

Nobody outside the AI companies can measure a single question exactly. So we start from what companies have published, add independent research, and always keep a low, middle and high estimate. Every number on the main page shows the whole range.

WhatLowMidHighUnit
Electricity per text answer · Wh0.240.341.86Wh
3 sources
Electricity per AI picture · Wh0.631.222.9Wh
2 sources
Electricity per short AI video (about 5 seconds) · Wh25.390944Wh
4 sources
Water used at the AI building (cooling) per kWh · L/kWh0.120.361.08L/kWh
3 sources
Water used at power plants to make each kWh · L/kWh02.184.4L/kWh
1 source
CO2 per kWh of electricity · gCO2/kWh125473560gCO2/kWh
3 sources
Electricity used by all data centres worldwide per year · TWh/yr415415415TWh/yr
1 source
People in the world · people8.2 billion8.2 billion8.2 billionpeople
1 source
AI's share of data-centre electricity (United States, 2024) · share0.2650.320.38share
1 source
Growth in 2025 of electricity used by AI-focused data centres · share0.50.50.5share
1 source
Data-centre electricity in 2035, IEA High Efficiency case · TWh/yr970970970TWh/yr
1 source
Water in an Olympic-size swimming pool · L2.5 million2.5 million2.5 millionL
1 source
CO2 per kWh generated from coal (United States, 2023) · lb CO2/kWh2.312.312.31lb CO2/kWh
1 source
CO2 per kWh generated from natural gas (United States, 2023) · lb CO2/kWh0.960.960.96lb CO2/kWh
1 source
CO2 per kWh generated from petroleum (United States, 2023) · lb CO2/kWh2.462.462.46lb CO2/kWh
1 source

AI's share of all data-centre electricity is the United States' 2024 share, 26.5–38%, used as our estimate for the world: nobody publishes a world figure in words. The real world share is probably lower.

Constants version 11 · cf084a94471f042d · built 2026-10-25

How it grows, year by year

Sources publish only a few years: what data centres used in 2024 and 2025, and forecasts for 2030 and 2035. We fill in the years between with plain rules and mark every filled-in number as calculated. Where a source gives no low estimate, we say so instead of inventing one. Years after 2025 are forecasts.

Electricity used by the world's data centres (TWh/yr)

YearLowMidHigh
2017188188188
2018210210210
2019235235235
2020264264264
2021295295295
2022331331331
2023371371371
2024415415415
2025485485485
2026507555607
2027528635728
2028550726850
2029571830971
20305939501,093
20316149951,214
20326361,0431,336
20336571,0931,457
20346791,1451,579
20357001,2001,700
6 sources

CO2 from the electricity data centres use (Mt CO2/yr)

YearLowMidHigh
2017not publishednot publishednot published
2018not publishednot publishednot published
2019not publishednot publishednot published
2020not publishednot publishednot published
2021not publishednot publishednot published
2022not publishednot publishednot published
2023not publishednot publishednot published
2024180180180
2025not published191209
2026not published203238
2027not published216267
2028not published229296
2029not published244325
2030not published259355
2031not published275384
2032not published292413
2033not published310442
2034not published329471
2035not published350500
3 sources

Series ec5d0aaaabaf90fc · built 2026-10-03

The countries we compare with

Each country's total electricity use in 2025 (demand, not generation), copied from one dataset file. A check on every build downloads the file again, confirms it is the same file, and compares every number.

Country2025 use (TWh/yr)
India2,081
Russia1,178
Japan1,027
Brazil775
Canada654
South Korea628
Germany517
France481
Mexico390
Italy312
United Kingdom312
Australia286
Spain276
Sweden137
Netherlands121

Grids in the 2030 game

On the 2030 page you choose which grids power the world's data centres. Each grid's carbon intensity is a published figure for one year; real grids keep changing, mostly getting cleaner.

Data-centre places

Regions with many data centres, and their power capacity. Published figures measure different things, and we say which for each one.

RegionMegawattsWhat the figure counts
Northern Virginia, United States2,552–11,300mixed: Jan 2024 ranking (low), colocation inventory Q1 2025 (mid), operational incl. self-built 2026 (high)
3 sources
Beijing, China1,799capacity ranking (Jan 2024, Cushman & Wakefield data)
1 source
London, United Kingdom1,189–1,380operational capacity, H1 2025 (low) to 2026 (high); mid is the geometric middle
2 sources
Atlanta, United States1,279colocation inventory (Q1 2025)
1 source
Dallas-Fort Worth, United States654–1,000Jan 2024 ranking (low); colocation market size H2 2025 (mid, high)
2 sources
Amsterdam, Netherlands927operational capacity (Q2 2026)
1 source
Johor, Malaysia897operational capacity (2025)
1 source
Singapore, Singapore876capacity ranking (Jan 2024, Cushman & Wakefield data)
1 source
Tokyo, Japan865capacity ranking (Jan 2024, Cushman & Wakefield data)
1 source
Sydney, Australia786operational capacity (2025)
1 source
Frankfurt, Germany745live IT load (mid-2025)
1 source
Shanghai, China432–725listed facilities (low); Jan 2024 ranking (mid, high)
2 sources
Seoul, South Korea698inventory
1 source
Mumbai, India670total capacity
1 source
Paris, France391–639Jan 2024 ranking (low); listed facilities (mid, high)
2 sources
Phoenix, United States617colocation inventory (Q1 2025)
1 source
Chicago, United States555–590Jan 2024 ranking (low); inventory H1 2024 (mid, high)
2 sources
Hong Kong, China581operational capacity (2025)
1 source
São Paulo, Brazil493colocation inventory (Q1 2025)
1 source
Silicon Valley, United States489inventory (H2 2025)
1 source
Hillsboro, Oregon, United States475total inventory (end of 2025)
1 source
Greater Jakarta, Indonesia322operational capacity (2025)
1 source
Dublin, Ireland304capacity ranking (Jan 2024, Cushman & Wakefield data)
1 source
Johannesburg, South Africa161–278Jan 2024 ranking (low); listed facilities (mid, high)
2 sources
UAE (Dubai and Abu Dhabi), United Arab Emirates250live capacity, whole UAE ("more than 250 MW")
1 source
Santiago, Chile148colocation inventory (Q1 2025)
1 source
Stockholm, Sweden74–116Jan 2024 ranking (low); listed facilities (mid, high)
2 sources

Named cases and claims

Some effects have no worldwide number yet, so the main page explains them with real, named cases. Every case quotes its source, read on the page itself, and every number in our summary appears in one of those quotes (the build checks this). The "claims to read twice" name practices, never accuse a company.

Strain on the grid · Ireland and the eastern United States

In Ireland, data centres used 22% of all metered electricity in 2024, up from 5% in 2015. In the eastern US, a 5,250 MW increase in the PJM grid's demand forecast, almost entirely from data centres, helped drive the results of its latest capacity auction.

2 sources

Local air · Memphis, Tennessee

In Memphis, the county's permit lets xAI operate 15 generators at its data centre, up to 247 megawatts; TechCrunch describes them as natural gas generators. According to their manufacturer, the turbines emit nitrogen oxides, a key contributor to smog, and formaldehyde.

2 sources

Chips and e-waste · Worldwide

A peer-reviewed study of generative AI's e-waste finds it could potentially reach 1.2 to 5.0 million tons in total over 2020 to 2030.

1 source

Land · Prince William County, Virginia

The planned Digital Gateway would span 34 buildings and 1.7 gigawatts of data-centre capacity on 2,139 acres near Manassas National Battlefield; WTOP reported it would be the largest data-centre corridor in the world. A court found the county's advertised notice did not comply with either the state or county code.

3 sources

Noise · Chandler, Arizona and Prince William County, Virginia

Residents near data centres in Prince William County say the constant drone, especially at night, causes anxiety and deprives them of sleep. Chandler, Arizona requires data centres to be built so their sound doesn't exceed the background level measured in a baseline study.

2 sources

Claims to read twice

Buying certificates, not clean power

Renewable-energy certificates are used to calculate "market-based" emissions, the official figures firms report. Researchers estimate that if the trend continues, 42% of committed scope 2 (electricity) emission reductions will not result in real-world mitigation.

2 sources

Matching over a year, not hour by hour

A peer-reviewed model found that matching a year's electricity use with clean power has minimal impact on long-run emissions. Matching it hour by hour keeps contributing significantly to cutting them, even as grids get cleaner.

2 sources

"Carbon neutral" through offsets

A review estimates that less than 16% of the carbon credits issued to the projects it investigated were real emission reductions. A new EU directive will ban product claims of a neutral, reduced or positive environmental impact based on offsetting.

2 sources

"Water positive"

One company's water stewardship goal left out the water consumed by the power plants that supply its data centres. And as a former water sustainability manager put it, carbon is a global problem, but water is more localised.

2 sources

Leaving out the chips and the buildings

Embodied emissions can exceed 40% of a data centre's total greenhouse gas emissions, so a footprint that leaves them out can miss a large part.

1 source

Efficiency, not the total

Researchers warn that because of rebound effects, efficiency alone won't ensure lower total harm. US data-centre electricity use climbed from 58 TWh in 2014 to 176 TWh in 2023.

2 sources

We changed our numbers

When better information comes out, we update. Every change is listed here, newest first. Numbers are low / middle / high.

  1. 2026-10-25 · version 11

    • Sources updated; no numbers changed.
  2. 2026-10-12 · version 10

    • CO2 per kWh generated from coal (United States, 2023): 2.31 / 2.31 / 2.31 (first version)
    • CO2 per kWh generated from natural gas (United States, 2023): 0.96 / 0.96 / 0.96 (first version)
    • CO2 per kWh generated from petroleum (United States, 2023): 2.46 / 2.46 / 2.46 (first version)
  3. 2026-10-03 · version 9

    • Water in an Olympic-size swimming pool: 2.5 million / 2.5 million / 2.5 million (first version)
  4. 2026-10-03 · version 8

    • Data-centre electricity in 2035, IEA High Efficiency case: 970 / 970 / 970 (first version)
  5. 2026-10-03 · version 7

    • Sources updated; no numbers changed.
  6. 2026-10-03 · version 6

    • Growth in 2025 of electricity used by AI-focused data centres: 0.5 / 0.5 / 0.5 (first version)
  7. 2026-10-03 · version 5

    • Electricity per short AI video (about 5 seconds): 30.3 / 944 / 944 → 25.3 / 90 / 944
    • CO2 per kWh of electricity: 125 / 473 / 473 → 125 / 473 / 560
  8. 2026-10-02 · version 4

    • AI's share of data-centre electricity (United States, 2024): 0.265 / 0.32 / 0.38 (first version)
  9. 2026-10-01 · version 3

    • Electricity per AI picture: 0.63 / 1.22 / 2.91 → 0.63 / 1.22 / 2.9
    • Water used at the AI building (cooling) per kWh: 0.12 / 1.08 / 1.8 → 0.12 / 0.36 / 1.08
    • Water used at power plants to make each kWh: 0.49 / 2.18 / 3.94 → 0 / 2.18 / 4.4
    • People in the world: 8.16 billion / 8.16 billion / 8.16 billion → 8.2 billion / 8.2 billion / 8.2 billion
    • The (v1) world-health scale was re-derived.
  10. 2026-10-01 · version 2

    • Sources updated; no numbers changed.
  11. 2026-10-01 · version 1

    • Electricity per text answer: 0.24 / 0.34 / 1.86 (first version)
    • Electricity per AI picture: 0.63 / 1.22 / 2.91 (first version)
    • Electricity per short AI video (about 5 seconds): 30.3 / 944 / 944 (first version)
    • Water used at the AI building (cooling) per kWh: 0.12 / 1.08 / 1.8 (first version)
    • Water used at power plants to make each kWh: 0.49 / 2.18 / 3.94 (first version)
    • CO2 per kWh of electricity: 125 / 473 / 473 (first version)
    • Electricity used by all data centres worldwide per year: 415 / 415 / 415 (first version)
    • People in the world: 8.16 billion / 8.16 billion / 8.16 billion (first version)
    • The (v1) world-health scale was re-derived.

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