Skip the pleasantries: UN report says shorter AI prompts could cut ChatGPT energy use by 25%

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A United Nations University report reveals that removing unnecessary words from AI prompts could reduce ChatGPT's energy consumption by up to 25 percent, saving 87 to 98 gigawatt-hours annually. With ChatGPT processing 2.5 billion queries daily, researchers urge users to adopt concise prompts and mindful AI usage to combat the technology's rapidly growing environmental footprint.

UN Researchers Call for Concise Prompts to Tackle AI Energy Consumption

A comprehensive United Nations University Institute for Water, Environment and Health report has found that cutting unnecessary words from AI prompts could reduce ChatGPT energy consumption by up to 25 percent

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. Removing polite phrases like "please" and "thank you" from interactions with large language models could save between 87 to 98 gigawatt-hours of electricity annually—equivalent to the annual residential electricity use of up to 760,000 people in sub-Saharan Africa

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. The findings highlight how prompt length directly impacts the environmental footprint of AI systems, as ChatGPT alone now processes around 2.5 billion queries every day

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How Prompt Length Affects Electricity Consumption

The report explains that concise prompts can save energy use because they reduce both the number of tokens large language models must process and the number generated in response

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. Kaveh Madani at UNU-INWEH emphasizes that users should write concise prompts, avoid conversation loops, and refrain from unnecessary interactions. "We are not saying be rude to your AI. But don't fall into the interaction trap and don't go falling in love with it either," Madani explains

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. At a conservative 0.42 Wh per prompt, ChatGPT's daily processing adds up to roughly 383 GWh of electricity per year

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. If a concise mode reduced tokens by just 30 percent for everyday interactions, it would save enough electricity to meet the annual residential needs of up to 756,000 people

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Source: New Scientist

Source: New Scientist

Data Centers Face Explosive Growth in AI Power Demands

AI currently accounts for about 20 percent of the energy used by data centers, but that share is projected to double to around 40 percent in the next few years

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. By 2030, AI alone could consume around 378 terawatt-hours annually, while data centers could use 945 TWh in total—nearly 3 percent of projected global electricity use

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. Google processes 16 billion queries daily, the majority of which now include integrated AI summaries

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. Beyond electricity, water usage presents another concern: data centers are projected to need 9.3 trillion liters of water by 2030—enough to meet the minimum annual domestic water needs of all 1.3 billion people in sub-Saharan Africa

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Image and Video Generation Demand Significantly More Energy

The type of AI task significantly impacts energy use. A typical ChatGPT-style text query uses about 200 times more energy than basic spam filtering

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. Generating an image uses 60 times more energy than a text query—enough to power a 10-watt LED bulb for about 17 minutes

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. Complex video generation is even more demanding, using up to 8,000 times more energy than text and requiring over 415 Wh per clip—enough to power the same bulb for about 1.7 days

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. These figures underscore why mindful AI usage matters when choosing between different AI capabilities.

Recommendations to Reduce AI's Energy Footprint

Researchers advocate for multiple strategies to address the growing environmental concerns. AI companies should be required to publish their energy consumption data, while governments should introduce energy caps on companies and individuals

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. Educating the public on efficient AI use is crucial, as the technology is being adopted faster than any other in history, according to Miriam Aczel at UNU-INWEH

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. Users should avoid unnecessary AI interactions, choose less powerful models when appropriate, and skip generating frivolous content

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. Madani stresses balance: "We are not saying AI is bad. We are just saying let's use it in a proper way. It's like a knife: you can save a patient's life in the operating theatre, but you can also kill someone with it"

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. For AI tools like Gemini and ChatGPT, small habit changes at scale can make a surprisingly big difference in reducing the collective environmental impact.

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