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The AI Footprint Meter
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The AI Footprint Meter

Your washing machine has an energy label. Your AI chat doesn’t.

We are asking the European Union to require AI providers to show the energy use of every chat. In the app. In the moment.

Sign the call
Conversation usage24 messages · since 20:02
2.9kWh

this evening, so far

15 text questions0.01 kWh (0.3%)
3 flyer images0.15 kWh (5%)
1 five-second video2.74 kWh (95%)

Roughly equal to

3×
a load of laundry at 40°C
15 km
driving an electric car
2 days
a fridge running

Here’s what that could look like:

Example from inside the chat

Make a 5-second clip of the flyer for Instagram Stories.

Done — here’s a 5-second clip, 1080×1920.

Sponsor flyer — Stories
5s · 1080×1920
Conversation usage
Conversation usage24 messages
2.9kWh
15 text questions0.3%
3 flyer images5%
1 five-second video95%
41% ran on renewable energy

Example:

Say someone is running a half marathon and looking for sponsors.

  1. Fifteen questions to the chatbot: how to approach sponsors, what a realistic target amount is, how to write a message people won’t swipe away.
  2. Then the flyer. Three images before one is good enough.
  3. And finally, one five-second clip for Instagram.
15 questions
+
10 attempts at an image
+
3 attempts at a 5-sec clip
=
2.9 kilowatt-hours
=
3 loads of laundry at 40°C.

Source: MIT technologyreview.com

That’s what that evening cost.

That number was nowhere to be seen. Not while working, not afterward. It wasn’t in the app, not in a setting, not in a monthly summary. Nowhere.

No one knew the clip was the most expensive part. No one knew fifteen questions cost almost nothing. There was no reason to think anything of it, because there was nothing to see.

How many loads of laundry did you run tonight?

You don’t know. And that’s no accident.

The numbers above come from measurements on open models — software researchers can download and measure themselves.

The chatbots hundreds of millions of people use every day are not open. ChatGPT, Claude, Gemini and Grok publish no numbers. Not to users, not to regulators, not to researchers.

MIT Technology Review asked OpenAI, Google and Microsoft directly. All three declined to share numbers.

"The closed AI model providers are serving up a total black box."

— Boris Gamazaychikov, Salesforce

"We should stop trying to reverse-engineer numbers based on hearsay, and put more pressure on these companies to actually share the real ones."

— Sasha Luccioni, Hugging Face

The Lawrence Berkeley National Laboratory, which forecasts power demand on behalf of the US Department of Energy, reached the same conclusion: so little is disclosed that a decent forecast can’t be made. Data centers are being built without anyone able to calculate what they’ll cost the grid.

This isn’t a technical problem. Companies measure this internally down to the kilowatt-hour — they have to pay the bill themselves. They just don’t publish it.

This has been done before

Europe has had an energy label on your fridge for more than thirty years. Later it appeared on washing machines, light bulbs, TVs, cars and homes. Flight tickets show CO₂ emissions. Your box of cookies shows what’s in it.

The argument was always the same: if you use something, you get to know what it costs. And every time, it turned out to be possible.

No one today finds it unreasonable that a fridge has a label on it.

EU energy label
since 1994
Nutri-Score
since 2017
On your flight ticket
since 2021

Only for the fastest-growing power draw right now does no one know a thing.

We are asking the EU to require AI providers to show the energy use of every chat.

Sign the call

4 people signed before you

What we’re asking for

One thing, and nothing more: make the energy use visible the moment it happens.

To whom: to the providers themselves — OpenAI, Anthropic, Google, Meta and xAI — and to the European Commission and the European Parliament, who can write the rules. This call runs outside a formal petition process: its weight comes from numbers and attention, not procedure.

Why a law, and not a polite request: this has been tried voluntarily for three years. The AI Energy Score, a label companies can voluntarily have their models rated on, has existed since 2024. Almost no major company takes part. As long as no one has to, no one will, because the first company to open up looks worse than everyone else, alone.

A requirement removes that disadvantage. Everyone at once, or no one.

Support this? Add your name.

Your data is only used for this call, stored on servers in the EU, and never shared or sold. Privacy notice

“But what about…”

“Isn’t AI nothing compared to flying or the meat industry?”

True, today. Data centers now use 4.4% of all power in the United States. By 2028 that’s estimated at 12%, and more than half of that goes to AI. This is the only line on the power bill tripling in four years. That’s exactly why now is the moment to make it measurable — not after the fact.

“Does a number on screen really change what people do?”

Maybe not right away. But the fridge energy label mainly changed what manufacturers built, not what buyers chose. Visibility makes comparison possible, and comparison makes efficiency worth pursuing. Right now there’s no reward for an efficient model, because no one can see the difference.

“This is a trade secret — this would hurt innovation.”

The question isn’t how a model works or how many parameters it has. Only how much power went through the meter. That’s not a trade secret, that’s a bill. Carmakers publish their fuel consumption too, without taking their engines apart.

Who’s behind this

This call comes from The AI Footprint Meter — an independent initiative by people who want AI use to be just as measurable as any other form of power consumption.

Sources

Every figure on this page can be checked. Spotted something wrong? aifootprintmeter@proton.me

What happens with your signature

  1. Now — collecting

    Goal: as many signatures as possible, shown on this page.

  2. Next — the companies

    The call goes, with every name attached, to OpenAI, Anthropic, Google, Meta and xAI. Their responses will be posted on this page. Even if they don’t respond.

  3. Ongoing — press and numbers

    Without a formal petition process, this call works through visibility: media, other organizations and repeated pressure on providers.

  4. Ongoing — the list

    Every company that adopts this gets listed here.

This page will be updated. Whoever signs hears what happens.

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