AI Regulation

Do AI Tools Use More Water Than You Think?

WNWNIAI Newsroom 1 min read(updated 19 September 2026)
Reviewed by the WNIAI Newsroom · Independent Australian AI coverage
Do AI Tools Use More Water Than You Think?
Image: Tom's Hardware UK

You might have heard concerns about how much water big AI tools, like ChatGPT, use. There's been a bit of chatter that these powerful computer systems, called data centres, are guzzling water, especially as they get bigger and more complex.

Recently, Sam Altman, the head of OpenAI (the company behind ChatGPT), weighed in on the topic. He argued that the fuss over AI's water use is overblown. He even suggested that using ChatGPT 38,000 times uses less water than it takes to produce just one almond. It’s an interesting comparison that aims to put things into perspective.

Altman also mentioned that data centres, where these AI systems live, aren't using significantly more water than a typical office building. This comment pushes back against the idea that they are huge water hogs. He suggests that the technology is actually becoming more efficient over time.

It’s important for us everyday Australians and small business owners to understand this. While AI offers exciting possibilities for streamlining tasks and boosting productivity, its environmental footprint is a valid concern. Whether it's water, energy, or raw materials, all technology has an impact. Getting clear, balanced information helps us make better choices about how we use and develop these tools. This discussion highlights that even the biggest tech companies are thinking about their environmental impact, and we should too.

Why it matters

For small business owners, understanding the real impact of the AI tools you might be considering, beyond just their benefits, is key. It helps you make informed choices about sustainable tech and what you tell your customers. For all Australians, it’s about having a clear picture of how new technology affects our environment.

#ai ethics#environmental impact#data centres#water conservation#sustainable tech#openai#chatgpt

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