Summarize this content to 2000 words in 6 paragraphs in Arabic Big Tech\u2019s growing use of data centres has created related public health costs valued at more than $5.4bn over the past five years, in findings that highlight the growing impact of building artificial intelligence infrastructure. Air pollution derived from the huge amounts of energy needed to run data centres has been linked to treating cancers, asthma and other related issues, according to research from UC Riverside and Caltech. The academics estimated that the cost of treating illnesses connected to this pollution was valued at $1.5bn in 2023, up 20 per cent from a year earlier. They found that the overall cost was $5.4bn since 2019.The issue is set to be exacerbated by the race to develop generative AI, which requires huge computing resources to train and power fast-developing large language models. Microsoft, Alphabet, Amazon, and Meta have forecast AI spending could exceed $320bn this year, up from $151bn in 2023. Meanwhile, OpenAI and SoftBank last month unveiled plans for a massive $500bn US AI infrastructure joint venture called \u201cStargate\u201d.The findings from UC Riverside and Caltech were derived by using a widely used modelling tool from the US Environmental Protection Agency. The EPA model translates the estimated air quality and human health impacts into a monetary value.The estimates suggest Google generated the largest health costs of $2.6bn over the five years between 2019 to 2023, followed by Microsoft, at $1.6bn, and Meta, at $1.2bn. Each company\u2019s associated public health cost rose year-on-year. Other firms, such as Amazon, were not included in the analysis as they do not release key data needed to model their impact.Data centres cause pollution through high electricity use, often sourced from fossil fuels. Back-up generators, needed in case of an outage, are commonly powered by diesel, which also contributes to air pollution. Meanwhile, the waste from the hardware such as chips can release harmful chemicals into the environment. Big Tech\u2019s impact on public health was calculated by distributing Google and Microsoft\u2019s North American electricity consumption figures over their US data centre locations and using their public sustainability reports. For Meta they used its disclosed per-location electricity usage data, which the first two companies do not provide.The analysis does not account for the purchase of market-based instruments that are meant to represent investments in new renewable energy in the US and that tech companies buy to offset the pollution from their electricity consumption. These instruments include\u00a0renewable energy certificates. Instead, the research focuses on the pollution generated in the specific area where the data is being processed, in an accounting\u00a0approach known as \u201clocation based\u201d.\u201cUnlike carbon emissions, the health impacts caused by a data centre in one region cannot be offset by cleaner air elsewhere,\u201d said Shaolei Ren, associate professor at UC Riverside.Google, Meta and Microsoft said their usage of back-up generators was below the estimated levels for the research, which is based on a median estimate of usage from publicly disclosed levels. The companies did not give detailed, per-location figures for their usage of back-up generators.Google added that the health cost estimates were overstated and that it did not \u201caccount for our clean energy purchases in the local markets where we operate\u201d and therefore \u201cpromotes an inaccurate emissions estimate generated under false pretences, undermining the progress of clean energy resource growth and creating a false narrative of health harms.\u201d The company added that its purchases enable it to achieve, on average, around 64 per cent carbon-free energy.Microsoft said it was focused on \u201cdelivering significant local, economic, social and environmental benefits to the communities where we operate\u201d.Meta said it complies with air quality requirements and remains committed to \u201cmaintaining net zero greenhouse gas emissions for our global operations, building innovative and sustainable infrastructure, reporting transparently on our sustainability goal progress, and supporting the communities where we operate.\u201dDue to where data centres are located, such as West Virginia or Ohio, the health impact disproportionately affected lower-income households, according to the research.Ren said there was an opportunity for tech groups to reverse the trend of a \u201cgrowing public health threat\u201d by strategically placing their data centres in less populated locations to have less impact. According to a separate report by Berkeley Lab, supported by the Department of Energy, US data centre energy use represented about 4 per cent of total US electricity consumption in 2023 and is forecasted to rise to between 7 and 12 per cent by 2028, driven largely by AI workload demand.\u201cThere is a concern around pollution as [AI] is energy intensive and people are using it more and more,\u201d said Antonis Myridakis, a lecturer in environmental sciences from Brunel University London. \u201cIt is an important factor contributing to air quality and public health, it is not something we can ignore.\u201dAdditional reporting by Kenza Bryan and Camilla Hodgson<\/p>\n","protected":false},"excerpt":{"rendered":"
Summarize this content to 2000 words in 6 paragraphs in Arabic Big Tech\u2019s growing use of data centres has created related public health costs valued at more than $5.4bn over the past five years, in findings that highlight the growing impact of building artificial intelligence infrastructure. Air pollution derived from the huge amounts of energy<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":{"0":"post-217596","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-tech"},"_links":{"self":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/217596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/comments?post=217596"}],"version-history":[{"count":0,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/217596\/revisions"}],"wp:attachment":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/media?parent=217596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/categories?post=217596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/tags?post=217596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}