Recent studies show that the #CarbonFootprint 👣 of using #ArtificialIntelligence 🦾 varies depending on the task performed.
🚨 The more accurate the model, the less energy-efficient it tends to be. ⚡
With the rapid growth in AI usage, ensuring the #Mitigation of its #EnvironmentalImpact is essential.
A study published in Frontiers and cited by TIME (Infobae, June 23, 2025) reveals that the environmental footprint of artificial intelligence varies greatly depending on the model and the task: certain prompts can generate up to 50 times more CO₂ emissions than others. For instance, a single ChatGPT query consumes about ten times more electricity than a Google search. Data centers, which accounted for 4.4% of electricity consumption in the U.S. in 2023, could rise to 6.7–12% by 2028. The analysis examined 14 models (ranging from 7 to 72 billion parameters) and found that more accurate models (such as Cogito and DeepSeek R1) emit significantly more than simpler ones, highlighting a trade-off between precision and sustainability. The authors call for greater transparency regarding the environmental cost per interaction to encourage more responsible AI usage.