Artificial intelligence has become an essential tool in our lives, whether for generating text, creating images, or analyzing data. However, its use comes with a significant environmental cost.
Between the energy consumption of data centers, the massive use of water for their cooling, and the CO2 emissions linked to electricity production, AI indirectly contributes to the planet’s pollution.
Yet, solutions exist to limit its impact while still enjoying its benefits. Here is an overview of the challenges and tips for a more eco-friendly use of AI.
AI, an energy-intensive and polluting technology?
It has to be said: using AI has an impact on the environment. Compared to other sectors, this impact obviously remains low, but it is significant and, above all, growing! The environmental footprint of AI mainly rests on three factors:
1: Data centers: massive electricity consumption
Data centers, which house the servers needed to run AI models, consume colossal amounts of electricity. According to the International Energy Agency (IEA), the rise of AI could lead to an increase in CO2 emissions of 180 to 300 million tons by 2030 if nothing is done.
The cause? Electricity production still largely relies on fossil fuels (coal, gas), which are responsible for greenhouse gases.
2: Water, a resource under pressure
Cooling data centers requires enormous amounts of water. This is why it’s often said that AI consumes water. For example, evaporative cooling systems consume millions of liters of water per year to keep servers at an optimal temperature. In a context of increasing water stress, this consumption poses an ethical and environmental problem.
3: Content generation: a hidden energy cost
According to the Ministry of Ecological Transition, producing a high-quality image with an AI model can consume up to 11 Wh (watt-hours), which is equivalent to half a smartphone charge.
On average, a generated image consumes 2.9 Wh. If you multiply that by millions of daily uses, the impact becomes significant. Language models, like those used to respond to text prompts, are no exception, as every request results in energy consumption.
This reality has even caught the attention of public figures. As astronaut Thomas Pesquet wrote on X: “Behind the magic, there is a reality we often forget to look at: the environmental cost of these technologies.”
Why is AI indispensable nonetheless?
Despite these impacts, AI has become a pillar of our society. It optimizes industrial processes, aids scientific research, improves medical diagnostics, and makes our daily lives easier. Banning or drastically limiting its use is not realistic.
The question is therefore: how can we use AI more responsibly to reduce its ecological footprint?
5 tips for eco-responsible AI use
Fortunately, simple actions and effective practices can limit the environmental impact of AI. Here are some concrete tips:
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Avoid unnecessary interactions with AI
Saying “thank you” or engaging in trivial conversations with an AI model seems harmless, but every generated response consumes energy. Save your interactions for real needs. For example, asking a specific question rather than multiplying exchanges for fun reduces electricity consumption.
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Limit energy-intensive and non-essential uses
Certain modes or features, like ChatGPT’s “starter packs” or visuals inspired by Studio Ghibli aesthetics, are particularly energy-hungry. These options, often used for fun results, can be avoided in favor of requests that are more useful and less resource-intensive.
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Optimize your prompts for more efficiency
A well-formulated prompt can reduce the number of iterations needed to get a satisfactory answer. For example, instead of testing several vague prompts, take the time to write a clear and precise request. In a few years, knowing how to write a “good prompt” could even become an ecological act, as it will limit electricity consumption linked to multiple attempts.
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Prioritize eco-designed models and platforms
Some companies invest in data centers powered by renewable energy or optimized to consume less water. Find out about the environmental commitments of the AI providers you use. For example, tech giants like Google or Microsoft are working to reduce the carbon footprint of their infrastructure. At Yiaho, all our servers are based in France, which uses 94% carbon-free energy.
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Raise awareness around you
Share these best practices with your friends, family, or colleagues. The more of us who adopt a reasoned use of AI, the more its global impact will decrease. A blog like yours is an excellent platform for spreading these ideas!
Read also: Explosion in data center electricity consumption: is AI too energy-hungry?
Towards a greener future for AI?
While individual actions are essential, companies and governments also have a role to play. Investing in more efficient data centers, developing less energy-intensive AI models, and accelerating the transition to renewable energy are promising paths. In the meantime, every user can contribute in their own way by adopting responsible practices.
So yes, AI is a powerful technology, but its use must be reasoned to preserve our resources. By optimizing our prompts, avoiding superfluous uses, and choosing eco-responsible tools, we can enjoy the benefits of AI while limiting its impact on the planet. So, ready to make your AI use greener? Share your thoughts in the comments!
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