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The tool for everyone

My AI footprint

The carbon footprint of a year of using AI, calculated task by task, with the effect of your settings.

Describe your use

assistants, week, tasks you give to AI

Calculate your footprint

annual footprint (CO2e), range, equivalents

Find your settings

the effect of each lever

Sourced factors from the AI Database by Projet Celsius

Question 1 of 4 · 3 minutes

Which assistants do you use?

Every one you open at least once a month.

No accountNothing is sentSourced factors

What My AI footprint calculates, from your request to your year

A calculation of the electricity used by the servers and of its life-cycle emissions, in 6 steps, each with its sourced factor in the AI Database.

1

You send a request

a question, a document to summarise, an image to create

8requests per day of use, typical user
2

The model reads and writes tokens

this is inference; a token is a piece of a word, and half a page of answer contains about 400

500tokens for a quick question
3

The server's chips compute

the larger the model, the more it uses; extended reasoning multiplies it by 10 in the AI Database (× 1.9 to × 30 on average in published measurements)

0.27 Whon the chips, a quick question, medium model
4

The data centre cools down

cooling and building losses, at the level of the large operators (× 1.10)

0.3 Whper quick question, cooling included
5

Electricity emits greenhouse gases

depending on the country of the servers, from France to the world mix

41 to 458 gof CO2e per kWh
6

Your year

the sum of all your requests, task by task

740 gof CO2e a year, typical user

Your useComputing on the serversElectricity and climate

Not included: model training, server manufacture, the network and your device. Their orders of magnitude are in the AI Database. Record of the quick question (in French)

A year with AI, calculated live

The hub's estimator, and 6 figures that count in your year.

Estimate my year

Tool
Which AI?
740 gof CO2e in a year, 5.2 km by car
Use

37%

What weighs most: deep research

270 g over the year

Electricity

× 11

The country of the servers

from 41 g per kWh in France to 458 worldwide

AI Database

0.14 g

A quick question

0.3 Wh, medium model, no reasoning

Settings

× 10

Extended reasoning mode

electricity for the same question, in the AI Database

Benchmark

5.2 km

By petrol or diesel car

that is 85 phone charges

Lever

- 140 g

The typical user's first lever

Deep research for real investigations

The footprint of your AI, estimated in 3 minutes

37%of the typical user's year comes from 6 deep research requests
projetcelsius.com/en/ai/tools/my-ai-footprint/
The My results screen

From your tools to your settings, in 4 steps

Every answer you do not know keeps the typical user's value. Your year builds up as you answer.

My tools
My week
What I do
My settings
My results
1

My tools

The assistants you open every month and their plan; the country of their servers enters the calculation.

2

My week with AI

The days you use it and the number of requests; the year follows, holidays included.

3

What I do

Writing, searching, reading a document, coding, creating an image: each task has its frequency and its weight.

4

My settings

Reasoning mode and model size, shown in electricity before you choose.

Calculate the footprint of my year with AI

3 minutes, no account, nothing is sent. At the end: your total, what makes it up and the settings that reduce it.

projetcelsius.com/en/ai/tools/my-ai-footprint/
The What I do screen
Projet Celsius, environmental strategy consultancy

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