AI's Environmental Footprint: Beyond the Myths
You've probably heard conflicting claims about AI's environmental impact: some alarming, some dismissive.
We're here to show you what 2025 first-party data actually reveals, help you estimate your own usage, and support organisations that need audit-ready reporting.
Asset
Estimate resources for AI assets and analyse the impact of various AI output types.
Estimate Asset & OutputDid You Know?
Figures from first-party 2025-26 disclosures and the sourced references in the "Understanding AI's Environmental Footprint" section below.
Optimise Your Prompts
Write clear, concise prompts to get the information you need with fewer iterations, reducing computational load.
Choose Smaller Models When Possible
For simpler tasks, smaller, more efficient models can be just as effective whilst using fewer resources.
Be Mindful of Task Intensity
Text generation typically uses far less energy than generating images or videos. Use intensive tasks judiciously.
Consider Location & Provider
Support AI services hosted in regions with cleaner energy grids and by companies committed to renewable energy.
Minimise Redundant Usage
Avoid unnecessary AI interactions. Think if the task truly requires AI or if a simpler tool would suffice.