Your AI use has a carbon footprint. Most organisations aren't counting it.
Sustainable AI: Using AI without the blind spot
Most organisations are having one conversation about AI and a separate one about sustainability. They're connected. AI use is a growing, largely unreported source of emissions, and it's also one of the most useful tools for hitting sustainability targets. This course gives people the knowledge to handle both.
Who it's for
- Sustainability, ESG and carbon reporting leads
- Procurement and IT teams buying AI tools
- Senior leaders setting AI policy
- Anyone who needs to challenge AI or vendor claims
You'll leave able to
- Find where AI emissions sit in your reporting, and close the gap
- Use practical habits that cut AI cost and footprint straight away
- Ask AI providers and tool vendors the right questions
- Tell where AI genuinely helps, and where claims fall short
- Build a phased governance roadmap leadership will back
The 10 modules · tap to open
Part 1 · Understand your AI footprint
1The Dual Challenge
Why AI is both part of the problem and part of the solution, and why the two conversations need to come together.
2The Accountability Gap
Where AI sits in Scope 3, and why it's missing from most carbon inventories.
3Training vs Inference
Why the cost of using AI grows with every user and every query.
Part 2 · Reduce it
4Model Selection and Right-Sizing
Matching the model to the task instead of defaulting to the biggest one, and the energy and cost impact of that choice.
5Prompt Efficiency
Clearer prompts mean fewer tokens, less rework and lower cost.
6Evaluating Provider Claims
What PUE, WUE and renewable matching actually tell you, and how to spot common greenwashing patterns.
Part 3 · Use AI for real impact
7Where AI Accelerates Sustainability
Where AI has a credible track record, from energy grids to supply chains, and how the rebound effect can undermine gains.
8Evaluating AI Sustainability Tools
Due diligence on AI-powered carbon accounting and ESG platforms: methodology, transparency and vendor risk.
Part 4 · Govern and act
9Governance: Both Sides
Turning responsible AI intent into policy, procurement criteria and reporting within your existing ESG structures.
10The Practitioner's Framework
Bringing it together into an internal case and a phased roadmap leadership will support.