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There’s no doubt that Generative AI (GenAI) has streamlined tasks and made everyday work easier, but behind the scenes, this water-guzzling monster is having a huge impact on the environment. GenAI relies on infrastructure that consumes large amounts of water and electricity and contributes to CO₂ emissions. For businesses aiming to reduce their environmental footprint, this impact is concerning.
Every prompt has a footprint.
With GenAI embedded in everyday workplace processes, avoiding it isn’t realistic. So, how do you balance the upsides with the downsides? In this article, we explore GenAI’s environmental impact and outline practical steps your business can take to use GenAI more responsibly.
When we use GenAI, we don’t see what happens after we hit ‘enter’. Behind the scenes, GenAI chatbots rely on massive data centres to process requests. You don’t see the servers, but they’re working hard.
These data centres:
According to estimates from the Department of Industry, Science and Resources (DISR), GenAI data centres currently represent around 1–1.5 per cent of global electricity use. A single large data centre can consume as much energy as 50,000 homes in one year.
Training GenAI models also carries a substantial energy demand. Australia’s former Chief Scientist, Dr Catherine Foley, said that training a model like ChatGPT-3 uses around 1.5 thousand megawatt hours of electricity – the equivalent of streaming roughly 1.5 million hours of Netflix. That’s a lot of TV time! Efficiency isn’t just about time – it’s about energy too.
While these figures may seem confronting, they don’t mean businesses should abandon GenAI altogether. Instead, they highlight the importance of using it intentionally and efficiently.
For organisations reporting under ESG frameworks, digital energy consumption is an increasing consideration. It’s worth considering how widespread GenAI use could flow through to ESG reporting – especially where emissions and supplier sustainability are under scrutiny.
Yes, be rude to your GenAI tool. Skip the pleasantries. Save the processing.
Saying “please” and “thank you” can lead to longer or less precise responses, which may require further prompts and re-generations. Instead, include clear, direct instructions that simply state what you want it to do.
Be as specific as possible. The clearer the instruction, the fewer follow-up prompts required. That means:
It may seem small, but when used over time and at scale, it can make a big difference. Don’t waste prompts like you wouldn’t waste water.
Reduce:
Reduce how much you rely on GenAI. It’s useful, but it doesn’t need to be used for everything. Write an email the old-fashioned way. Have a brainstorm with pen and paper. Use GenAI where it adds value – not by default – by focusing on high-impact work. Use GenAI with purpose, not out of habit.
Recycle:
Recycle any old technology instead of sending it to landfill. Responsible recycling of laptops, servers, and devices helps reduce e-waste and lowers your overall environmental footprint.
Combine multiple related requests into one structured prompt instead of sending several smaller ones. One good prompt beats five average ones.
Every time you hit enter, your request is sent to a remote data centre where computers process your prompts, generate a response, and send it back to you.
So, if you send five separate prompts, the system repeats that process five times. Resulting in higher water and energy use.
Beyond individual behaviour changes, formal frameworks can help organisations manage the impact of GenAI at a systematic level.
There are third-party certifications your company can pursue to ensure you’re using GenAI responsibly and managing environmental impact effectively. The two most relevant are:
These standards help businesses formalise responsible practices and embed them into business processes. In other words: fewer “random prompts”, more governance.
While it isn’t an environmental standard like ISO 14001, it can still help reduce GenAI’s environmental impact by ensuring GenAI use is controlled, intentional, and properly managed.
ISO 42001 helps businesses:
It also supports smarter procurement decisions by encouraging organisations to evaluate GenAI providers and third-party systems – which creates an opportunity to prioritise suppliers using renewable energy, efficient infrastructure, or lower-impact data centres.
For organisations developing their own GenAI models, the standard encourages oversight during design and training, creating an opportunity to consider energy efficiency, infrastructure choices, and resource use from the outset.
In simple terms, ISO 42001 helps ensure your GenAI use is purposeful and well-governed, reducing wasteful or unmanaged GenAI activity that can contribute to unnecessary energy consumption.
It’s how you move from “we use GenAI” to “we manage GenAI”
ISO 14001 focuses specifically on environmental management. It helps organisations identify, monitor, and reduce their environmental impacts in a systematic and measurable way.
For businesses using GenAI, ISO 14001 can help:
Instead of guessing whether your GenAI use is sustainable, ISO 14001 provides a structured framework to measure, monitor, and improve performance over time.
Less guesswork. More proof.
The goal isn’t to eliminate GenAI from your business. It’s to use it intentionally.
GenAI can support innovation and efficiency – but only when governed deliberately. With the right structure and mindset, businesses don’t have to choose between progress and environmental responsibility. They can, and should, do both.
If you’d like to further discuss becoming ISO certified, we’re here to help. Contact us today.
Georgia Theocharous is a Copywriter and Content Specialist for Citation Group. She is responsible for crafting content across multiple channels such as blogs, social media, landing pages and email campaigns. In her spare time, you can find her jamming to her favourite music.