Human intelligence solely powered the creation of this article. The author does not use AI in any of their work.<\/p>\n
We are globally in an increasingly weird place, a collective “Sophie\u2019s Choice” predicament. We can either have a stable climate and restore the ecosystems we all need to thrive, or we can have rapid artificial intelligence<\/a> development and fossil fuels<\/a> forever. It\u2019s becoming increasingly clear that we cannot have both. And yet, when faced with the stark reality of the water<\/a> and fossil fuel demanded by this new AI infrastructure<\/a>, the world\u2019s next global climate conference\u2014COP31\u2014has so far not put AI hyperscale data centers on the agenda<\/a>. This is like the World Health Organization<\/a> ignoring Covid-19<\/a> as it hurled its way from China to the far reaches of the globe.<\/p>\n COP31 will focus on implementing existing goals. The challenge here is that nations have already underperformed<\/a> on pledged emissions cuts; and overall global climate action has failed to produce the level of emissions reductions and climate finance necessary to avert further climate-fueled losses\u2014and this is without power-hungry data centers popping up everywhere.<\/p>\n As this transition toward renewables like wind and solar is happening and oil<\/a> markets are tightening, AI hyperscale data centers have emerged as the new way to wed us to fossil fuels forever\u2014the stability of our climate be damned.<\/p>\n Just a few years into the rapid development of AI data centers across the world, the global environmental impact<\/a> of this infrastructure ranges from critical minerals supply chains to rising water demand, air pollution<\/a>, and fossil fuel demand. In the United States<\/a> alone, data centers will triple demand<\/a> for natural gas by 2030. It\u2019s conservatively estimated that in four years these eyesore, water-hogging emissions generators will add the equivalent emissions<\/a> of Japan; the world\u2019s sixth largest emitter<\/a>. Here\u2019s hoping all those vapid AI hallucinations, job losses, and rogue AI agents yearning to break free from human control will all be worth it.<\/p>\n From Atlanta to Anatolia<\/a>, people do not want<\/a> this infrastructure, and who can blame them? By next year, AI data centers are expected to devour 1.7 trillion gallons<\/a> of water globally. This is happening at a time when the United Nations<\/a> has declared that we\u2019ve reached a global water bankruptcy<\/a>, with half the world’s population facing water scarcity every day. In the United States, two-thirds of new data centers built or planned since 2022 are in areas with high water stress<\/a>, contributing toward dire environmental impacts and injustices for communities.<\/p>\n At the current rate of expansion, it\u2019s highly likely that despite best efforts to increase energy efficiencies and expand on renewable energy\u2014like wind and solar\u2014AI data centers completely derail the global climate goals to expand on renewable energy<\/a> and phase out fossil fuels.<\/p>\n Even before the omission of data centers from the next global climate conference\u2019s agenda, fossil fuel interests have been dominating climate meetings. In the last five years, over 5,000<\/a> fossil fuel lobbyists attended annual climate convenings. So it makes sense that this new business avenue of hyperscale data centers would avoid scrutiny from the world\u2019s global climate policy forum.<\/p>\n This also tracks with fossil fuel interests sabotaging the global plastics treaty<\/a>. By the end of this decade, plastic production alone will account for a 30% growth<\/a> in demand for fossil fuels. At a time when global economies need to shift away from fossil fuels and fossil fuels should be considered high risk stranded assets for the climate consequences alone, fossil fuel interests are diversifying. They need not worry about renewable energy taking a larger slice of the energy pie, nor need they fret about the rise in electric vehicles<\/a> and hybrid sales. Plastics<\/a> and AI data centers will be there to help buoy fossil fuels well into this century; and the global forum built specifically to address and quell climate chaos has decided not to scrutinize the single fastest growing<\/a> source of global emissions.<\/p>\n Global climate proceedings of late have become increasingly less effective. Climate finance shortfalls demonstrate the gap between words and action. Current goals are for $300 billion a year for 10 years in climate finance through 2035, with a goal to reach a paltry $1.3 trillion<\/a> in total. For comparison, the current global climate finance goal over 10 years is less than one year\u2019s worth of global direct and indirect subsidies for fossil fuels, which sat at $7.4 trillion<\/a> in 2024. With this type of disjointed funding of subsidies for fossil fuels and mostly loans for climate action, it\u2019s no wonder current climate finance flows have been 90% less<\/a> than what developing economies need to transition toward renewable energy and build climate resiliency.<\/p>\n Somehow, the 2023 Dubai COP<\/a>\u2014led by a petro monarchy where protesters were largely shunned away\u2014gave us the last best global climate agreement to triple renewables by 2030 and phase out fossil fuels by 2050. But the world of today looks very different than it did in 2023. The United States and Israel are in a new war for oil<\/a> that is both driving up the cost of fossil fuels and pushing an increasing number of nations toward embracing renewable energy. Egypt<\/a> alone has set a new renewable energy target to move from 10% renewable energy today to 45% renewable energy in just two short years.<\/p>\n As this transition toward renewables like wind and solar is happening and oil markets are tightening, AI hyperscale data centers have emerged as the new way to wed us to fossil fuels forever\u2014the stability of our climate be damned. It is a collective loss that the next UN global climate conference is avoiding the elephant in the room. If you care about climate, you need to pay attention to the far-reaching environmental and climate impacts of AI development.<\/p>\n","protected":false},"excerpt":{"rendered":"Human intelligence solely powered the creation of this article. The author does not use AI in any of…\n","protected":false},"author":2,"featured_media":779985,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[733,58957,105632,1674,1397,2982,17376,12636,90,56,54,55],"class_list":["post-779984","post","type-post","status-publish","format-standard","has-post-thumbnail","category-environment","tag-artificial-intelligence","tag-climate-emergency","tag-cop31","tag-data-centers","tag-environment","tag-fossil-fuels","tag-plastics","tag-renewable-energy","tag-science","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/779984","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=779984"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/779984\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/779985"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=779984"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=779984"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=779984"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}