We’re excited to announce the release of our upgraded operational...
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Did you know data centres in Ireland already consume over 20% of the country's electricity?
And the carbon emissions from AI chip manufacturing skyrocketed in 2023 alone. Globally, some estimates suggest AI's energy consumption could rival a country the size of the Netherlands by 2027.
This isn’t just a distant concern. Closer to home, New Zealand's energy emissions have been rising. Data centre demand is expected to surge, with one report forecasting a 50% increase in global power needs by 2029, mostly driven by AI. Meanwhile, the country’s renewable energy mix is becoming less reliable, with hydro electric output falling and coal usage rising during dry or high-demand periods.
As our digital infrastructure grows, so does its environmental footprint.
For enterprises committed to sustainability, this is not just an IT problem. It is a strategic imperative.
Digital transformation is often viewed as inherently efficient, but every digital process carries a carbon cost. This is especially true when those processes are powered by AI. Each model trained, each data-heavy workload, each tool integrated into your systems adds to your emissions profile.
Yet most organisations are not even measuring this impact. That means they are missing a key opportunity to align their technology strategy with their climate goals.
If your business uses AI models licensed from external providers (like OpenAI, AWS, or Azure), the emissions from their compute power fall into your Scope 3 footprint. Measuring this often involves tracking API calls, inference requests, or usage metrics provided by the cloud provider.
This footprint expands further when you factor ininternal use of AI tools embedded in everyday workflows. From Microsoft Copilot to AI-powered CRM and marketing platforms, these systems may be invisible in your reporting today, but they generate emissions that matter.
Without visibility, you are likely underestimating both your environmental impact and your opportunity to reduce it.
Businesses need to be actively measure and manage their AI emissions:
AI is transforming the way businesses operate, but it's also reshaping your emissions profile. If you're not measuring the environmental impact of your digital tools, including AI, you're missing a critical part of your carbon footprint.
The good news is that you can take action. Start small, focus on what you can measure, and build toward smarter, cleaner AI use across your organisation. Sustainability and innovation can work together, but only if you make it a priority.
Talk to us about building it into your decarbonisation plan.
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