AIEAI Image Equivalent
United Kingdom
Independent context tool Updated with 2026 UK factors

What is that worth
in AI images?

Environmental figures are hard to picture. Compare familiar activities with the estimated energy use or carbon footprint of generating AI images.

0.7–11.5 Wh per image range2.9 Wh typical estimate143.95 g CO₂e/kWh UK grid
01 / Choose an activity
Running electric fan50 W × 8 hours
Energy comparison

Estimated energy

400 Wh

THAT’S APPROXIMATELY EQUIVALENT TO
138

AI-generated images

Efficient AI scenario 34.8High equivalent 571

Typical estimate uses 2.9 Wh per image. Because a more energy-intensive image has a larger impact, fewer images fit into the same equivalent.

WHY THIS EXISTSContext changes how a number feels.

It started with a slightly cheeky question.

Discussions about AI image generation often include figures for electricity use or carbon emissions, but isolated numbers are difficult to interpret. Is 3 Wh significant? What does 500 g CO₂e feel like in everyday terms?

AI Image Equivalent puts those estimates beside familiar activities: running a fan, boiling a kettle, driving a car or taking a flight.

The purpose isn’t to excuse AI’s environmental impact or exaggerate it. It’s to replace abstract numbers with understandable context, using transparent assumptions and published evidence.

ONE NUMBER ISN’T THE WHOLE STORY

Same image.
Different impact.

Model choice, hardware, resolution, inference steps, batching, data-centre efficiency and the local electricity mix can all change the result. That’s why every answer includes a range.

Efficient0.7 WhTypical2.9 WhHigh11.5 Wh
METHODOLOGY & SOURCES

Transparent by design.

These are estimates for relative scale, not measurements of any individual image, appliance or journey.

01 AI image generation

There is no universal energy cost. The central 2.9 Wh estimate follows the mean measured by Luccioni, Jernite & Strubell across image-generation models. We use 0.7 to 11.5 Wh to expose variation from efficient small models through the study’s high observed result. Inference only; hardware, resolution, steps, batching and data-centre overhead can change real use.

02 Electricity & carbon

Watts describe power. Watt-hours describe energy over time. One kWh equals 1,000 Wh. Carbon is calculated separately: energy × 143.95 gCO₂e/kWh, the 2026 UK grid generation plus transmission/distribution factor. The same image on another grid can have very different emissions.

03 Flights

Simple mode estimates distance at 800 km per flight-hour. Because the calculator does not know the route, it automatically uses 3,700 km as a transparent distance-only proxy for short or long haul. Official UK factors classify haul by destination region, so this is an approximation. Government passenger-km factors include an 8% distance uplift. Cabin class changes passenger allocation. The optional radiative-forcing variant represents additional non-CO₂ effects; UK guidance uses a 1.9 multiplier while noting substantial scientific uncertainty.

04 Vehicles & transit

Cars use 2026 average-size UK factors and are divided by passengers entered. Public transport is already expressed per passenger-km. EV carbon follows the UK grid; the energy view uses 0.205 kWh/km. Actual vehicle, load, route, driving and occupancy matter.

05 Home heating

Electric heat is compared by input electricity. Gas uses 0.18231 kgCO₂e/kWh (gross calorific value). Heat-pump output is contextualised with an illustrative coefficient of performance of 3.2; weather and system design alter real performance.

CONTACT

Questions, corrections or source suggestions?

Found an outdated assumption, spotted a calculation issue or have a question about the methodology? We’d like to hear from you.

ATKNProjects@proton.me