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Data centers may emit 57% more CO₂ than expected in 2025, study finds
Data centers, whose expansion is being fueled dramatically by the artificial intelligence boom, have a far bigger carbon footprint than previously estimated, a study said Tuesday. The sprawling, power-hungry sites, used to store critical IT infrastructure like servers, are being built worldwide by companies and countries as AI applications gobble ever-greater computing power. This has helped boost their greenhouse gas emissions, with a new study by Allianz Trade estimating the centers emitted 286 million tonnes of carbon dioxide in 2025. This is 57% higher than estimates by the International Energy Agency, according to the group, the trade credit insurance arm of global insurer Allianz. AI already accounts for between 15% and 20% of electricity consumption at data centers, and this share could climb to 40% by 2030, the report said. "Data centers are evolving from a marginal factor into a structural driver of electricity demand in many regions," said Patrick Hoffmann, senior climate economist at Allianz. Without steps to decarbonize power grids, data center emissions would more than double by 2030, leading to an estimated $154 billion in annual climate damages -- up from $68 billion today, the report said. Climate damage related to AI workloads could exceed $50 billion by 2030, it said. Data centers are also putting huge strain on natural resources -- they could require 1.3 trillion to 1.8 trillion liters (343 billion to 476 billion gallons) of water by 2030, comparable to Switzerland's annual consumption, the report said. The same computing power can generate very different emission levels depending on the source of the electricity used. In India, emissions linked to electricity exceed 600 grams of CO per kilowatt-hour (kWh), compared with less than 30 grams in Norway or Sweden, where power generation is largely decarbonized. According to Allianz Trade, nearly 70% of global data center emissions are currently concentrated in the United States and China, the world's AI leaders.
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Data centres emitting more CO2 than thought: study
Frankfurt (Germany) (AFP) - Data centres, whose expansion is being fuelled dramatically by the artificial intelligence boom, have a far bigger carbon footprint than previously estimated, a study said Tuesday. The sprawling, power-hungry sites, used to store critical IT infrastructure like servers, are being built worldwide by companies and countries as AI applications gobble ever greater computing power. This has helped to boost their greenhouse gas emissions, with a new study by Allianz Trade estimating the centres emitted 286 million tonnes of carbon dioxide in 2025. This is 57 percent higher than estimates by the International Energy Agency, according to the group, which is the trade credit insurance arm of global insurer Allianz. AI already accounts for between 15 and 20 percent of electricity consumption at data centres, and this share could climb to 40 percent by 2030, the report said. "Data centres are evolving from a marginal factor into a structural driver of electricity demand in many regions," said Patrick Hoffmann, senior climate economist at Allianz. Without steps to decarbonise power grids, data centre emissions would more than double by 2030, leading to an estimated $154 billion in annual climate damages -- up from $68 billion today, the report said. Climate damage related to AI workloads could exceed $50 billion by 2030, it said. Data centres also putting huge strain on natural resources -- they could require 1.3 to 1.8 trillion litres of water by 2030, comparable to Switzerland's annual consumption, the report said. The same computing power can generate very different emission levels depending on the source of the electricity used. In India, emissions linked to electricity exceed 600 grams of CO2 per kilowatt-hour (kWh), compared with less than 30 grams in Norway or Sweden, where power generation is largely decarbonised. According to Allianz Trade, nearly 70 percent of global data centre emissions are currently concentrated in the United States and China, the world's AI leaders.
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New research reveals data centers emitted 286 million tonnes of CO₂ in 2025, far exceeding previous estimates. The AI boom is fueling explosive growth in power-hungry facilities, with AI workloads already consuming up to 20% of data center electricity. Without urgent decarbonization efforts, annual climate damages could surge to $154 billion by 2030.

Data centers emitted 286 million tonnes of CO₂ in 2025, according to a new study by Allianz Trade, marking a stark 57% increase over estimates from the International Energy Agency
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. The sprawling, power-hungry facilities used to store critical IT infrastructure like servers are being built worldwide as the AI boom drives unprecedented demand for computing power. This revelation underscores a growing environmental crisis tied directly to artificial intelligence expansion, with nearly 70% of global data center emissions currently concentrated in the U.S. and China, the world's AI leaders2
.AI already accounts for between 15% and 20% of data center electricity consumption, and this share could climb to 40% by 2030, the report warns
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. "Data centres are evolving from a marginal factor into a structural driver of electricity demand in many regions," said Patrick Hoffmann, senior climate economist at Allianz2
. The AI-driven environmental impacts extend beyond carbon emissions, creating cascading effects across multiple resource systems. Without immediate decarbonization efforts to transform power grids, data center emissions would more than double by 2030, leading to an estimated $154 billion in annual climate damages—up from $68 billion today1
.The same computing power can generate vastly different emission levels depending on electricity sources. In India, emissions linked to electricity exceed 600 grams of CO₂ per kilowatt-hour, compared with less than 30 grams in Norway or Sweden, where power generation relies heavily on decarbonizing power grids
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. This disparity highlights how location and energy infrastructure choices can dramatically alter the carbon footprint of identical AI workloads. Climate damage related to AI workloads alone could exceed $50 billion by 2030, emphasizing the urgent need for tech companies to prioritize cleaner energy sources in their expansion strategies1
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Beyond carbon emissions, data centers are creating immense strain on water resources. The facilities could require 1.3 trillion to 1.8 trillion liters of water by 2030—comparable to Switzerland's annual water consumption
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. This water consumption primarily supports cooling systems essential for maintaining optimal operating temperatures in these power-intensive facilities. As AI applications continue gobbling ever-greater computing power, the dual challenge of carbon emissions and water consumption demands coordinated action from policymakers, technology companies, and energy providers to mitigate long-term environmental damage.Summarized by
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