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Estimate the footprint of your AI use

Questions, images, videos: the electricity and CO2e of a year, based on your assumptions.

Calculation
On the AI Impact Database, version 0.4, engine 0.3.1
Published
20 October 2026, CC BY 4.0 licence
1

Your uses

Questions per dayA text question: 0.3 Wh1per day
0255075100
In reasoning modeA question that reasons: x 1.94
None1 of 101 of 41 of 2All
Images per weekAn image: 2.9 Wh2per week
01020304050
Videos per weekA 5-second video: depends on the generator3per week
05101520
2

Your assumptions

Video generatorElectricity used by a 5-second video3
Median generator25Wh The most downloaded90Wh The most energy-hungry measured415Wh
Server electricityIn gCO2e per kWh5, 6, 7
Global average (Ember)458 g France (Ember)41.4 g United States (Ember)384 g Ireland (Ember)257 g Germany (Ember)330 g Netherlands (Ember)254 g Poland (Ember)589 g Sweden (Ember)35.3 g Norway (Ember)28.1 g

Default : the regular-use profile of the article series (10 questions a day, 5 images and 1 video a week).

3

Results over a year

Electricity6.5kWha yearequivalent to 18 Wh per day
Climate3kgCO2ea year, global average electricity6.5 kWh x 458 g per kWh
Water0.95 to 160La year, questions alone, depending on scope0.26 mL to 45 mL per question
Where the electricity comes fromshare of the year
Questions10 per day x 365 x 0.3 Wh1.1 kWh 17 %
Images5 per week x 52 x 2.9 Wh756 Wh 12 %
Videos1 per week x 52 x 90 Wh4.7 kWh 72 %
↑1 video a week weighs more than 4 times 10 questions a day
What this corresponds toyour 3 kgCO2e and 6.5 kWh of a year
21km by combustion-engine car142 g per km8
0.6 beef meals4.97 kgCO2e per meal8
3.7% of the manufacturing of a smartphone80 kgCO2e per new smartphone8
0.036% of a French person's annual footprint (8.3 tCO2e)8.3 tCO2e a year9
340 phone charges19 Wh per charge, EPA
With the electricity of other countriesthe same 6.5 kWh, with another grid
Poland3.8 kgCO2e
Global averageyour choice3 kgCO2e
France270 gCO2e
Norway180 gCO2e
Compare the 12 grids

Assumptions and sources

6.5 kWhyour uses over a yearEpoch AILuccioniDelavandePEReN458 g per kWhglobal average, life cycleEmber3 kgCO2ea year

Not countedModel training and server manufacturing; Your device

The calculation in detail

The values and the limits

The values used

A text question1
0.3 Wh
With reasoning4
× 1.9 (PEReN)
An image2
2.9 Wh
A 5-second video3
25 to 415 Wh
Chosen electricity5
458 g per kWh

The limits of the calculation

  • Orders of magnitude: the values per use come from measurements on specific models, not on your assistant.
  • Only the servers' electricity at the time of use is counted: not training, not hardware manufacturing, not your device.
  • The country of the large assistants' servers is not published: the global average is the default value.
  • For water, text questions alone: 0.26 mL (cooling, Google) to 45 mL (life cycle, Mistral AI).
  • The water of images and videos: no published measurement.

The 9 sources

One line per document
  1. 1Epoch AI, How much energy does ChatGPT use?, February 2025A text question, 0.3 Wh
  2. 2Luccioni, Jernite and Strubell, Power Hungry Processing: Watts Driving the Cost of AI Deployment?, 2024A generated image, 2.9 Wh
  3. 3Delavande, Pierrard and Luccioni, Video Killed the Energy Budget, September 2025A 5-second video, 25 to 415 Wh
  4. 4Arcep, Intelligence artificielle et environnement (mesures du PEReN), May 2026Reasoning mode, x 1.9
  5. 5Ember, Global Electricity Review 2026 (the AI Impact Database, IA-0001)The global average, 458 g per kWh, over the life cycle
  6. 6Our World in Data, based on Ember, carbon intensity of electricity over the life cycle, by countryFrance, 41.4 g per kWh
  7. 7Ember, Global Electricity Review 2026, and annual data via Our World in DataThe other countries
  8. 8ADEME, Impact CO2The car, the beef meal, the new smartphone
  9. 9SDES et Insee, L'empreinte carbone de la France de 1990 à 2025, octobre 2026A French person's annual footprint, 8.3 tCO2e

The source library

Methodology

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