数据中心导致大型科技公司的碳排放量达到法国总排放量的三分之一。
Datacentres drive up big tech's carbon emissions to a third of those of France

原始链接: https://www.theguardian.com/us-news/2026/jul/11/microsoft-amazon-google-datacentre-carbon-emissions-france

过去一年,微软、亚马逊和谷歌的碳排放总量激增近 20%,总计达到 1.19 亿公吨二氧化碳当量。这一急剧增长削弱了此前在实现净零排放目标方面取得的进展,其主要原因是为支持人工智能的快速扩张而大规模建设数据中心。 尽管这些公司坚称致力于可持续发展,但专家指出,它们的环保营销掩盖了大规模基础设施建设的现实。经济学家认为,向云计算的转变往往让其他企业能够通过将环境足迹外包给这些科技巨头来掩盖自身的排放。 随着人工智能需求的持续激增,该行业有望在 2030 年前新建约 1,200 个数据中心,这一趋势预计将使全球当前的数据中心电力消耗翻一番。批评人士警告称,人工智能投资与排放增加之间的关联不容忽视,目前的碳信用额度供应可能不足以抵消该行业日益增长的环境影响。尽管面临这些挑战,这三家公司仍重申了其长期的净零排放目标。

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原文

Microsoft, Amazon and Google’s collective carbon emissions have increased by nearly a fifth in the past year, driven largely by datacentre construction.

In the financial year ending March 2026, the three tech companies emitted 119m mTCO₂e (metric tonnes of carbon dioxide equivalent), or about a third of those of France.

The previous year, they emitted roughly 101m mTCO₂e, roughly equivalent to the 2024 emissions of Czechia.

The US companies’ climate ambitions have been hit in recent years by a boom in demand for cloud services, such as storing data or running servers over the internet, related to training and operating chatbots and other AI products.

Cecilia Rikap, an economics professor at University College London, said: “Claims by Microsoft, Amazon and Google about their clouds being ecologically friendly and sustainable are a marketing strategy. Governments should remember these expanding carbon footprints when the very same companies offer addressing the ecological crisis with AI solutions.

“And, as migration to their clouds expands, and companies store data and train and use AI models and all sorts of digital technologies, these other companies are outsourcing their own digital/AI carbon footprint to cloud giants. Basically, shifting to the cloud helps other corporations obscure their environmental footprint.”

Microsoft, Google and Amazon were contacted for comment.

These increases were documented in the companies’ annual sustainability reports, which they have released over the past weeks. In its report released on Thursday, Microsoft said its carbon emissions had increased by 25% over the past year to 20m mTCO₂e, “driven primarily by the expansion of our datacentre infrastructure”.

Google said its emissions had increased 18% over the past year, “driven by increases in supply chain activities that supported the rapid expansion of our business”. The search company says its AI systems have come up with solutions that have already helped to reduce emissions elsewhere by 41m tonnes of CO2 last year.

Amazon reported a 16% increase in emissions overall, and a 20% increase in supply chain emissions, which included datacentre building and construction. In its report, it still framed this as “making progress” towards its goal of net zero emissions in 2040.

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The bulk of these emissions come from a big, global push to build the infrastructure for artificial intelligence. The world’s biggest tech companies are on track to spend $765bn (£570bn) this year, mostly on building AI datacentres – in locations from Norway to North Tyneside.

It is a drastic reversal in a years-long push by big technology companies to cut their carbon emissions. Prior to this year, Microsoft’s emissions appeared to have flatlined, at 16m mTCO₂e, in 2023 and 2024. All three companies still say they aim to achieve net zero emissions: Google and Microsoft by 2030, Amazon by 2040.

“The increases in total carbon emissions are strongly correlated with [the companies’] AI investment,” said Shaolei Ren, a professor of electrical engineering at University of California, Riverside.

He noted that Microsoft’s sustainability report also suggested that there were fewer carbon credits available on global markets to offset its emissions. “While companies are actively investing in or purchasing carbon credits, the figure suggests a possible lack of credit supply in the carbon market to meet the technology companies’ needs … Everyone is talking about the lack of physical goods and infrastructure like power, but there may also be a lack of virtual goods – carbon credits.”

Proposals for building datacentres across the global tech sector are becoming more numerous and ambitious as demand for AI tools, and investment by AI companies in the models that underpin them, increases. JLL, a US property consultancy, expects about 1,200 datacentres to be built globally between now and 2030, with demand overwhelmingly driven by AI.

The datacentre boom is accompanied by vast projected power demands. The Uptime Institute, which rates and inspects datacentres, estimates that big datacentre projects announced last year would consume 1.3% of the world’s electricity usage, or a near-doubling of current datacentre demand. The majority of that new power demand will come from US projects, it said.

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