{"id":26121,"date":"2025-06-19T20:30:42","date_gmt":"2025-06-19T20:30:42","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=26121"},"modified":"2025-06-19T20:30:43","modified_gmt":"2025-06-19T20:30:43","slug":"new-study-reveals-how-your-ai-queries-impact-carbon-emissions","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-study-reveals-how-your-ai-queries-impact-carbon-emissions\/","title":{"rendered":"New Study Reveals How Your AI Queries Impact Carbon Emissions"},"content":{"rendered":"\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">A recent study by German researchers indicates that AI queries can vary drastically in their carbon emissions, depending on the complexity of the tasks. Discover the crucial balance between accuracy and sustainability.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>In an era increasingly reliant on artificial intelligence, a new study by German researchers has revealed a surprising environmental cost: some AI prompts can lead to 50 times more CO\u2082 emissions than others.<\/p>\n\n\n\n<p>Researchers from the Hochschule M\u00fcnchen University of Applied Sciences measured the carbon emissions of 14 different large language models (LLMs) using a standardized set of 1,000 questions. <\/p>\n\n\n\n<p>Their findings, <a href=\"https:\/\/www.frontiersin.org\/journals\/communication\/articles\/10.3389\/fcomm.2025.1572947\/full\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in Frontiers in Communication, shed new light on the hidden ecological footprint of AI technologies.<\/p>\n\n\n\n<p>&#8220;The environmental impact of questioning trained LLMs is strongly determined by their reasoning approach, with explicit reasoning processes significantly driving up energy consumption and carbon emissions,\u201d first author Maximilian Dauner, a researcher at Hochschule M\u00fcnchen, said in a news release. \u201cWe found that reasoning-enabled models produced up to 50 times more CO\u2082 emissions than concise response models.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Understanding the Emissions<\/h2>\n\n\n\n<p>The study analyzed models that varied in parameters from seven to 72 billion, focusing on how these parameters influenced carbon outputs. Parameters determine how LLMs learn and process information. <\/p>\n\n\n\n<p>The researchers found that reasoning-based models, which require additional &#8220;thinking&#8221; tokens to generate responses, greatly increased carbon emissions. On average, these models produced 543.5 tokens per question, whereas concise models required just 37.7 tokens.\u00a0<\/p>\n\n\n\n<p>&#8220;Currently, we see a clear accuracy-sustainability trade-off inherent in LLM technologies,&#8221; added Dauner.  &#8220;None of the models that kept emissions below 500 grams of CO\u2082 equivalent achieved higher than 80% accuracy on answering the 1,000 questions correctly.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Impact on Different Subjects<\/h2>\n\n\n\n<p>The study also highlighted that the complexity of the subject matter affects emissions. <\/p>\n\n\n\n<p>Questions on abstract algebra or philosophy, which necessitate lengthy reasoning processes, were found to generate up to six times more CO\u2082 emissions than simpler subjects like high school history.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Future Implications<\/h2>\n\n\n\n<p>The researchers hope their work will guide users toward making more eco-conscious decisions when using AI. <\/p>\n\n\n\n<p>\u201cUsers can significantly reduce emissions by prompting AI to generate concise answers or limiting the use of high-capacity models to tasks that genuinely require that power,&#8221; Dauner added.<\/p>\n\n\n\n<p>Choice of AI model also plays a significant role. <\/p>\n\n\n\n<p>For instance, the study found that the DeepSeek R1 model (70 billion parameters) emits CO\u2082 equivalent to a round-trip flight from London to New York when answering 600,000 questions. <\/p>\n\n\n\n<p>In contrast, the Qwen 2.5 model (72 billion parameters) can answer nearly three times as many questions with the same carbon footprint.<\/p>\n\n\n\n<p>However, the researchers acknowledged some limitations, noting that emission factors could vary based on the hardware and energy grids used, possibly affecting the generalizability of their results.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>&#8220;If users know the exact CO\u2082 cost of their AI-generated outputs, such as casually turning themselves into an action figure, they might be more selective and thoughtful about when and how they use these technologies,&#8221; Dauner concluded.<\/p>\n\n\n\n<p>The study underscores a growing need for awareness about the environmental impacts of our digital habits and urges a balanced approach to leveraging AI&#8217;s powerful capabilities responsibly.<\/p>\n\n\n\n<div style=\"height:12px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source: <\/strong><a href=\"https:\/\/www.frontiersin.org\/news\/2025\/06\/19\/ai-prompts-50-times-more-co2-emissions\" target=\"_blank\" rel=\"noopener\" title=\"\">Frontiers<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In an era increasingly reliant on artificial intelligence, a new study by German researchers has revealed a surprising environmental cost: some AI prompts can lead to 50 times more CO\u2082 emissions than others. Researchers from the Hochschule M\u00fcnchen University of Applied Sciences measured the carbon emissions of 14 different large language models (LLMs) using a [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[400],"class_list":["post-26121","post","type-post","status-publish","format-standard","hentry","category-ai","tag-hochschule-munchen-university-of-applied-sciences"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"In an era increasingly reliant on artificial intelligence, a new study by German researchers has revealed a surprising environmental cost: some AI prompts can lead to 50 times more CO\u2082 emissions than others. Researchers from the Hochschule M\u00fcnchen University of Applied Sciences measured the carbon emissions of 14 different large language models (LLMs) using a&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/26121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=26121"}],"version-history":[{"count":13,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/26121\/revisions"}],"predecessor-version":[{"id":26143,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/26121\/revisions\/26143"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=26121"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=26121"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=26121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}