{"id":106921,"date":"2026-06-05T17:50:06","date_gmt":"2026-06-05T12:20:06","guid":{"rendered":"https:\/\/vajiramandravi.com\/current-affairs\/?p=106921"},"modified":"2026-06-05T17:50:06","modified_gmt":"2026-06-05T12:20:06","slug":"environmental-cost-of-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/vajiramandravi.com\/current-affairs\/environmental-cost-of-artificial-intelligence\/","title":{"rendered":"Environmental Cost of Artificial Intelligence (AI), Key Findings"},"content":{"rendered":"<p><b>Why in the News?<\/b><span style=\"font-weight: 400;\"> : The United Nations University Institute for Water, Environment and Health (UNU-INWEH) has released a report titled Environmental Cost of AI\u2019s Energy Use: Carbon, Water and Land Footprints (June 2026), warning that the environmental costs of artificial intelligence extend far beyond carbon emissions to encompass water depletion, land use, electronic waste, and equity concerns.<\/span><\/p>\n<h2><b>Key Findings of the UNU-INWEH Report<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The report highlights that the rapid expansion of <a href=\"https:\/\/vajiramandravi.com\/upsc-exam\/artificial-intelligence\/\" target=\"_blank\"><strong>Artificial Intelligence<\/strong><\/a> is creating significant pressures on energy, water, land, and material resources, raising concerns about its long-term environmental sustainability.<\/span><\/p>\n<p><b>Data Centres are Becoming Major Resource Consumers:\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Global data centres consumed around 448 TWh of electricity in 2025.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">By 2030, electricity demand from data centres is projected to reach 945 TWh, nearly 3% of global electricity consumption.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">If considered a country, global data centres would rank among the world\u2019s largest electricity consumers.<\/span><\/li>\n<\/ul>\n<p><b>Rising Water Footprint:\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data-centre electricity use could require 9.3 trillion litres of water annually by 2030.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">This is equivalent to the basic annual domestic water needs of 1.3 billion people in Sub-Saharan Africa.<\/span><\/li>\n<\/ul>\n<p><b>Expanding Land Footprint:\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-related electricity infrastructure could occupy over 14,500 sq km of land by 2030.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">This is roughly twice the area of the Jakarta metropolitan region.<\/span><\/li>\n<\/ul>\n<p><b>Inference Drives AI Energy Demand:\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Contrary to popular perception, training AI models is not the major energy consumer.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Once deployed, inference (running AI models for user queries) accounts for 80\u201390% of total AI energy use.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ChatGPT alone is estimated to process 2.5 billion prompts daily, consuming approximately 383 GWh of electricity annually.<\/span><\/li>\n<\/ul>\n<p><b>Energy Intensity of AI Tasks:\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A typical AI chat query uses about 200 times more energy than basic text classification.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Generating an AI image can require around 1,450 times more energy.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A short AI-generated video may consume as much electricity as 200,000 spam classification tasks.<\/span><\/li>\n<\/ul>\n<p><b>E-Waste Challenge:\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI infrastructure could generate up to 2.5 million tonnes of electronic waste annually by 2030.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Disposal and recycling burdens are likely to fall disproportionately on developing countries.<\/span><\/li>\n<\/ul>\n<p><b>Global AI Divide:\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Only 32 countries host AI-specialised data centres.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">More than 90% of global AI computing capacity is concentrated in the United States and China.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Over 150 countries lack sovereign AI computing infrastructure, highlighting a widening digital divide.<\/span><\/li>\n<\/ul>\n<p><b>Jevons Paradox:\u00a0<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The report highlights the rebound effect (Jevons Paradox), where improvements in AI efficiency reduce costs and lead to higher usage, so without limits on tokens, resolution, or output length, overall environmental impact continues to rise despite per-query efficiency gains.<\/span><\/li>\n<\/ul>\n<p><b>Local burden global benefits:\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The report shows that AI expansion creates unequal local burdens and global benefits. AI infrastructure often places heavy stress on local resources like electricity and water, while benefits are enjoyed elsewhere.For example,\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In Ireland, data centres used about 21% of total electricity, forcing authorities to pause new approvals around Dublin.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In Mexico (Quer\u00e9taro), data centres are increasing pressure on water resources during long drought conditions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">In Uruguay, data centre expansion coincided with severe drought, reducing safe drinking water availability in Montevideo.<\/span><\/li>\n<\/ul>\n<h2><b>Six Principles for Responsible AI Ecosystem<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The UNU-INWEH report proposes a comprehensive governance model for making Artificial Intelligence environmentally sustainable. A sustainable AI ecosystem should be guided by six core principles:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Governments should plan AI data centres along with electricity, water, and land use, and require clear reporting of environmental impact.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Industry and AI developers should design AI systems to use less energy by improving model design, outputs, and processing methods.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Users and organisations should use only as much AI as needed and prefer simpler, low-energy options for tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data centre operators should choose locations and energy sources carefully, keeping in mind overall environmental pressure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Investors should consider environmental costs like energy use, water consumption, and land use as important risks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Communities should be involved early in decisions about data centre locations, with proper transparency and complaint mechanisms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">International bodies should create common standards to measure AI\u2019s environmental impact and ensure fair access to computing resources.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Environmental Cost of AI 2026 report warns data centres, carbon, water, land use, e-waste impact; UNU-INWEH highlights rising global AI energy and resource demand.<\/p>\n","protected":false},"author":25,"featured_media":106896,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[786],"tags":[7986,5623,7987],"class_list":{"0":"post-106921","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-general-studies","8":"tag-environmental-cost-of-artificial-intelligence","9":"tag-environmental-studies","10":"tag-ethics-in-ai","11":"no-featured-image-padding"},"acf":[],"_links":{"self":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/106921","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/comments?post=106921"}],"version-history":[{"count":4,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/106921\/revisions"}],"predecessor-version":[{"id":106935,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/106921\/revisions\/106935"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media\/106896"}],"wp:attachment":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media?parent=106921"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/categories?post=106921"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/tags?post=106921"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}