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Ditch the niceties in AI prompts to save energy use, say researchers

A report from the UN warns of the rapid growth in AI energy consumption, but suggests users can improve efficiency by making prompts more concise

By Luke Taylor

3 June 2026

ChatGPT now processes around 2.5 billion queries every day

Alina Vytiuk / Alamy Stock Photo

UN researchers have urged people to be less polite to AI after a report found cutting words from prompts could reduce ChatGPT鈥檚 energy consumption by up to 25 per cent.

Removing 鈥減lease鈥, 鈥渢hank you鈥 and other unnecessary words from AI prompts could save 87 to 98 gigawatt hours of electricity per year, the report from the UN University Institute for Water, Environment and Health found. That is the equivalent of the annual residential electricity use of nearly 760,000 people in Sub-Saharan Africa.

People should write concise prompts, avoid getting sucked into conversation loops and refrain from starting relationships with AI to reduce their energy consumption and carbon footprint, the researchers said.

鈥淲e are not saying be rude to your AI. But don鈥檛 fall into the interaction trap and don鈥檛 go falling in love with it either,鈥 said at UNU-INWEH.

Large language models process text in small units known as tokens. Madani says concise prompts can save energy because they can reduce both the number of tokens the model has to process and the number it generates in response. In some cases, they may also make the task simpler, further reducing the power required.

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The UN study is the most comprehensive assessment of the environmental costs of artificial intelligence to date and warns of rapidly increasing energy, land and water use due to the growing adoption of the technology.

ChatGPT alone now processes around 2.5 billion queries every day and Google 16 billion, the majority of which have integrated AI summaries.

Tech companies disclose little information on their energy use, so the researchers used the available data for the data centres that power them.

AI currently accounts for about 20 per cent of the energy used by data centres but that share is projected to double to around 40 per cent in the next few years. By 2030, AI alone could consume around 378 terawatt hours a year and data centres could use 945 TWh in total 鈥 almost 3 per cent of projected global electricity use.

The 9.3 trillion litres of water projected to be needed by data centres by 2030 is enough to meet the minimum annual domestic water needs of all 1.3 billion people in Sub-Saharan Africa.

鈥淵ou鈥檙e looking at something on a global scale that is being adopted faster than any other technology in the history of technology, so the energy use is increasing very rapidly,鈥 says at UNU-INWEH.

The researchers said AI companies should be obligated to publish their energy consumption while governments should introduce energy caps on companies and individuals, but it is also crucial to educate the public on how to use AI efficiently.

People should be encouraged to avoid using AI where unnecessary and where they do use it, cut words and use less powerful models, Madani says.

They should also be aware that generating an image uses 60 times more energy than a text query, enough to power a 10-watt LED bulb for about 17 minutes.

A complex video uses up to 8000 times more than text and could power the same bulb for about 1.7 days.

鈥淲e are not saying AI is bad,鈥 says Madani. 鈥淲e are just saying let’s use it in a proper way. It鈥檚 like a knife: you can save a patient’s life in the operating theatre but you can also kill someone with it.鈥

Reference:

Environmental Cost of AI’s Energy Use: Carbon, Water and Land Footprints

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