Your Team's AI Carbon Footprint
An evidence-based approximation of the annual carbon footprint of your team's AI use. Takes about 30 seconds.
Team size
people
How much they use AI
Most people use AI daily for substantive work, a few use reasoning models or coding agents.
Estimated annual carbon footprint
382 kg CO₂e
range: 191 to 573 kg CO₂e
That's roughly the same as burning
3 tanks of petrol in a typical car
or driving
2,121 km in a petrol car
or about
5 months of a typical NZ household's electricity
What this number is. The estimated electricity used by data centres handling your team's AI prompts over a year, converted to carbon based on the grid powering those data centres. It's an approximation; none of the major AI vendors publish per-account emissions data yet, so this uses independent measurements of how much energy these models actually consume. Treat it as an indication of magnitude, not a precise figure.
Wondering where your team sits on the AI adoption ladder?
Take the AI Maturity Benchmark →Methodology current as of May 2026. The field is moving fast; review annually.
Methodology built on independent research. For guidance on responsible AI adoption in your organisation, see our AI ethics guide and agentic AI governance framework.