AI isn’t free. Every question we ask consumes power, water, and resources. Google just opened the door to a conversation the entire industry has been avoiding. Do you think AI companies should be required to publish per-prompt energy usage?
SUSTAINABILITY
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AI Usage Metrics and Energy Standards
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So what’s missing? Google still won’t say how many total Gemini queries run per day. Without that, we can’t calculate the true global footprint of AI usage. Researchers want a standardized “AI energy score” like Energy Star for appliances.
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AI Efficiency Surges in 2025
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The bigger surprise? AI efficiency is skyrocketing. In May 2024, a Gemini prompt used 33x more energy than it does today. Software optimization + hardware improvements are cutting the cost fast.
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Google DeepMind Perch v2 Identifies Threatened Species from Audio
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And it continues at Google! Definitely… Google DeepMind has just launched Perch v2, an open-source AI model capable of analyzing nature sounds to identify threatened species from audio recordings. Here's how it's already been used: – Discovery of a new population of the rare
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Trillion Labs Cuts LLM Training Time Using NVIDIA NeMo Curator
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Trillion Labs used NVIDIA NeMo Curator to cut data prep from days to hours to train highly accurate LLMs in Korea. Explore the key results in advancing sovereign AI development: Reduced training time Improved language accuracy Increased cost and energy savings
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Microsoft Sustainability Head Discusses AI Environmental Impact
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Some comparisons from a Nature commentary by the head of sustainability at Microsoft: https://
media.nature.com/original/magaz
ine-assets/d41586-025-02641-4/51368154
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GPUs throttle to low idle power when inactive
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GPUs throttle down to low idle power when not actively doing calculations BTW.
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China Pollutes While West Decarbonizes: Environmental Impact
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China pollutes, the West decarbonizes.
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Europe’s Unsustainable Path: Regulation and Debt Growth
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Europeans talk continuously about sustainability, but what's not sustainable is their current trajectory, where the only growth is in regulation and debt.
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GPT-5 Energy Consumption: 18 Wh Per Response Analysis
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GPT-5 consommerait 18 Wh par réponse. Huit fois plus que GPT-4.
Et bien loin des 0,34 Wh annoncés par OpenAI, puisque GPT-4 atteindrait en réalité 2,12 Wh selon l’étude de l’Université de Rhode Island. Au delà du chiffre, et de sa méthode de calcul par hypothèse, c'est une