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Environmental Cost of AI's Energy Use: Carbon, Water and Land Footprints

Miriam Aczel, Sanaz Chamanara, Mir Matin, Aria Farsi, Tshilidzi Marwala, Kaveh Madani

Richmond Hill, Ontario (CA): United Nations University Institute for Water, Environment and Health (UNU-INWEH) (2026), 55 pp.

"[...] The study reveals some striking numbers. In 2025, data centers—the physical backbone of AI—consumed an estimated 448 TWh of electricity. If data centers were a country, that level of electricity use would rank it 11th globally. On current trajectories, data center electricity demand could ... roughly double to 945 TWh by 2030, nearly triple the combined annual electricity use of Pakistan, Bangladesh, and Nigeria, together home to more than 650 million people. Producing that much electricity would have a carbon footprint of 399 million tonnes CO2e, requiring 6.7 billion trees grown over 10 years to offset—roughly twice the number of trees in the United Kingdom. The associated water footprint of 9.3 trillion liters would be equivalent to the annual domestic water needs of all 1.3 billion residents of Sub-Saharan Africa. The land footprint associated with this electricity would exceed 14,500 km², nearly 10 times the size of Mexico City. AI is now one of the most significant drivers of that data center growth. In 2025, AI workloads alone accounted for around 20% of total data center electricity use, and if that share rises to 40% by 2030 as projected, its electricity demand could reach roughly 378 TWh—enough to meet the residential electricity needs of the entire population of Sub-Saharan Africa for over 2 years. AI’s environmental impacts are shaped not only by data center growth and electricity supply mixes, but also by the escalating cost of building ever-larger models. For example, GPT-3 training consumed an estimated 1.3 GWh of electricity over 34 days, while GPT-4 is estimated to have consumed 50 to 70 GWh over 100 days, roughly 40 to 55 times GPT-3. Yet training is only part of the picture as AI’s operational footprint is increasingly driven by inference. Once models are deployed, billions of everyday interactions account for the bulk of energy use, with inference estimated at roughly 80–90% of total energy consumption. [...] The report identifies priority implications for key stakeholders. Governments must integrate AI infrastructure into energy system planning, carbon accounting, water governance and land use permitting. This requires standardized environmental footprint reporting so impacts can be verified and compared across providers and jurisdictions. Industry and AI developers should treat model selection, default outputs, and routing decisions as footprint determinants, while also improving efficiency-by-design. Users and deploying organizations also shape impacts through volume, frequency, and modality choices. They should adopt “fit-for-purpose” use: selecting the lightest model and lowestenergy format that meets the task and limiting high-cost features when not needed. Data center operators and utilities should recognize siting and procurement as environmental footprint decisions, apply environmental impact screening and cumulative impact assessment. They should implement transparent mitigation and community safeguards where expansion occurs. Investors and financiers should treat electricity, carbon, water, and land footprints as material risks for AI infrastructure portfolios and use comparable footprint metrics in due diligence." (Executive summary, pages 12-13) more

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Measuring what matters: How to assess AI’s environmental impact

Geneva: ITU (2025), viii, 21 pp.

This report synthesizes key findings from a diverse range of sources, including academic literature, corporate sustainability initiatives, and emerging environmental tracking tools. Collectively, these documents provide a thorough overview of current methodologies for evaluating the environmental im ... more

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Atlas der KI: Die materielle Wahrheit hinter den neuen Datenimperien

Kate Crawford

Bonn: Bundeszentrale für politische Bildung (bpb), Sonderausg. (2025), 336 pp.

"Ist Künstliche Intelligenz nur eine weitere Entwicklung der Digitalisierung des Alltags, eine effiziente Software in einer „Cloud“? Die KI-Forscherin Kate Crawford entlarvt diese verharmlosende Vorstellung und beleuchtet die konkreten Auswirkungen der Technologie auf die physische Welt. Ihre R ... more

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Greening digital companies 2025: Monitoring emissions and climate commitments

Geneva; Amsterdam: ITU; World Benchmarking Alliance (2025), 90 pp.

"The fourth edition of the Greening Digital Companies: Monitoring Emissions and Climate Commitments report continues to track greenhouse gas (GHG) emissions, energy use and climate commitments of 200 digital companies. It provides a critical foundation for setting science-based targets (SBTs), measu ... more

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Digitaler Kolonialismus: Wie Tech-Konzerne und Großmächte die Welt unter sich aufteilen
Deep Insights

Ingo Dachwitz, Sven Hilbig

München: Beck (2025), 351 pp.

"Das Versprechen der Digitalen Revolution ist die Heilserzählung unsererZeit. Dieses Buch erzählt eine andere Geschichte: Die des digitalen Kolonialismus. Statt physisches Land einzunehmen, erobern die heutigen Kolonialherren den digitalen Raum. Statt nach Gold und Diamanten lassen sie unter mensc ... more

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Nature Guidance for the Mobile Industry

London: GSMA (2025), 76 pp.

"This guidance addresses both the ‘why’ and the ‘how’ of nature assessments for mobile operators. It explains the reasoning behind taking action and offers practical recommendations for initiating and integrating a corporate nature strategy. The authors aimed to simplify the complex topic of ... more

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Power Hungry: How AI Will Drive Energy Demand

Christian Bogmans, Patricia Gomez Gonzalez, Ganchimeg Ganpurev, Giovanni Melina, Andrea Pescatori, Sneha Thube

Washington, DC: International Monetary Fund (IMF) (2025), 28 pp.

"The development and deployment of large language models like ChatGPT across the world requires expanding data centers that consume vast amounts of electricity. Using descriptive statistics and a multi-country computable general equilibrium model (IMF-ENV), we examine how AI-driven data center growt ... more

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AI and the Environment: International Standards for AI and the Environment

Geneva: ITU (2024), vi, 43 pp.

"International standards provide the guidelines and benchmarks needed to measure and improve the environmental impact of AI. Codifying established best practices, standards help mitigate risks such as high energy consumption and lifecycle emissions. They also provide measurement methodologies to ass ... more

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The Global E-Waste Monitor 2024
Deep Insights

Cornelis P. Baldé, Ruediger Kuehr, Tales Yamamoto, Rosie McDonald, Elena D’Angelo et al.

Bonn; Geneva: United Nations Institute for Training and Research (UNITAR); ITU (2024), 148 pp.

In 2022, a record 62 billion kg of e-waste was generated globally (equivalent to an average of 7.8 kg per capita per year); 22.3 per cent of this e-waste mass was documented as formally collected and recycled in an environmentally sound manner. In 2010, the world generated 34 billion kg of e-waste, ... an amount that has since increased annually by an average of 2.3 billion kg. The documented formal collection and recycling rate has increased as well, growing from 8 billion kg in 2010 at an average rate of 0.5 billion kg per year to 13.8 billion kg in 2022. The rise in e-waste generation is therefore outpacing the rise in formal recycling by a factor of almost 5 - driven by technological progress, higher consumption, limited repair options, short product lifecycles, growing electronification and inadequate e-waste management infrastructure - and has thus outstripped the rise in formal and environmentally sound collection and recycling. The e-waste generated in 2022 contained 31 billion kg of metals, 17 billion kg of plastics and 14 billion kg of other materials (minerals, glass, composite materials, etc.) An estimated 19 billion kg of e-waste, mainly from metals like iron which is present in high quantities and has high recycling rates in almost all e-waste management routes, were turned into secondary resources. Platinum-group metals and precious metals were among the most valuable metals but present in much lower quantities; nonetheless, an estimated 300 thousand kg were turned into secondary resources through formal and informal recycling practices. The share of patent applications for e-waste management rose from 148 per million in 2010 to 787 per million in 2022. Most of those applications were related to technologies for cable recycling, with hardly any signs of an increase in the number of patents filed for technologies related to critical raw materials recovery. Although rare earth elements have unique properties that are crucial for future technologies, including renewable energy generation and e-mobility, the world remains stunningly dependent on the production chains of a few countries. The recycling of such elements remains economically challenging, even in the case of devices with a higher content. Consequently, recycling activities are taking only around 1 per cent of the current demand for the recycling of rare earth elements. The market price for rare earth elements is still too low to support larger-scale commercial recycling operations." (Executive summary, pages 12-13) more

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The Routledge Handbook of Ecomedia Studies

Antonio Lopez, Adrian J. Ivakhiv, Stephen Rust, Miriam Tola, Alenda Y. Chang, Kiu-wai Chu (eds.)

New York; London: Routledge (2024), xxiii, 371 pp.

"The Routledge Handbook of Ecomedia Studies gathers leading work by critical scholars in this burgeoning field. Redressing the lack of environmental perspectives in the study of media, ecomedia studies asserts that media are in and about the environment, and environments are socially and materially ... more

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Smarter, greener extractivism: Digital infrastructures and the harnessing of new resources

Patrick Brodie

Information, Communication & Society (2024), 20 pp.

"The past several years have seen increased scholarly attention to the concept of ‘extraction’ and ‘extractivism’ as critical frameworks in the humanities and social sciences. These are not only concepts and processes through which to understand material extraction but also expanded formatio ... more

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Metastudie "Nachhaltigkeitseffekte der Digitalisierung": Eine Auswertung aktueller Studien zur (quantitativen) Bemessung der Umwelteffekte durch die Digitalisierung

Jan Stede, Christian Lautermann et al.

Berlin: Technopolis; Institut für ökologische Wirtschaftsforschung (2024), ix, 96 pp.

"In dieser Studie werden auf Basis der Literaturanalyse eine Vielzahl an Anwendungsfällen mit besonders hohen Potenzialen für positive Umwelteffekte identifiziert. Insbesondere im Energiebereich gibt es eine Vielzahl von vergleichsweise gut erforschten Anwendungsfällen. Hierzu zählt beispielswei ... se der Einsatz von Smart Metering und preisdynamischen Tarifen. Auch Automatisierung und Monitoring im Gebäudebereich können den Energieverbrauch deutlich verringern. Durch Digitalisierung im Energiesektor kann außerdem das Abregeln erneuerbarer Energien vermieden werden. Im Bereich Verkehr können Technologien wie Internet of Things (IoT) und 5G z. B. die THG-Emissionen im Güterverkehr deutlich senken. Die positiven Umweltpotenziale der Digitalisierung sind jedoch nicht auf das Einsparen von CO2-Emissionen beschränkt. In der Landwirtschaft können z. B. durch den Einsatz von Precision Farming durch digital gestütztes Monitoring der Einsatz von Pflanzenschutzmitteln und Bewässerung reduziert werden. Trotz einer Vielzahl von Studien, die sich mit Umwelteffekten von Digitalisierung beschäftigen, ist der Wissensstand über das Ausmaß der Potenziale in vielen Bereichen jedoch immer noch lückenhaft. In den für diese Studie analysierten Veröffentlichungen wird eine Vielzahl von digitalen Technologien und Anwendungsfällen qualitativ bzw. anekdotisch als sehr relevant beschrieben, es fehlen jedoch in der Regel Quantifizierungen. Obwohl z. B. für den Bereich KI viele Veröffentlichungen identifiziert wurden, enthielten nur wenige quantifizierte Analysen, auch Bilanzierungen fehlten zum Teil. Diese Studien wurden daher nur begrenzt in die Metastudie miteinbezogen, deuten aber auf ein potenziell disruptives Potenzial von KI in manchen Anwendungsbereichen hin (z. B. im Bereich Klimaanpassung kann KI durch die Verbesserung von Prognosen die Reaktionsfähigkeit auf Umweltereignisse erhöhen). Mit der Digitalisierung gehen neben Umweltchancen auch negative Umwelteffekte einher. Zu den negativen Effekten der Digitalisierung gehören direkte Effekte, die durch den Energie- und Ressourcenverbrauch der Produktion und den Betrieb digitaler Infrastruktur entstehen. Ein weiteres prominentes Beispiel sind negative systemische Effekte wie Rebound-Effekte. Daher führt Digitalisierung nicht zwangsläufig zu einer Verringerung des Ressourcenverbrauchs. Positive Umwelteffekte der Digitalisierung gehen oft auf positive Enabling-Effekte wie Optimierungs- und Substitutionseffekte zurück, oder ergeben sich durch den Wandel zu nachhaltigen Verhaltens- und Konsummustern. Im Fokus der Literatur stehen meist positive Enabling-Effekte. Die vorhandenen Quantifizierungen konzentrieren sich meist auf die Potenziale digitaler Technologien (die positiven Enabling-Effekte). Nur in wenigen Studien werden vor- und nachgelagerte Umwelteffekte der Produktion der digitalen Technologien sowie weitere systemische Effekte wie Rebound-Effekte in die Umweltbewertung mit einbezogen. Eine übergeordnete Bewertung der Gesamtbilanz digitaler Technologien im Rahmen wissenschaftlicher Analysen wird somit erschwert. Bei vielen Studien handelt es sich zudem um Fallstudien, die Umwelteffekte unter sehr spezifischen Rahmenbedingungen ermitteln. Es ist daher häufig nicht klar, inwieweit sich diese Potenziale skalieren bzw. auf andere Kontexte übertragen lassen. Schließlich werden Umweltauswirkungen häufig auf CO2-Äq. verkürzt und auf eine breitere Betrachtung von Umwelteffekten im Sinne von Ressourcenverbrauch wird oft verzichtet." (Zusammenfassung, Seite 7-8) more

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Mobile Net Zero 2024: State of the Industry on Climate Action

London: GSMA (2024), 50 pp.

"Climate action continues to be a key priority for the mobile industry. In 2019, the mobile industry set a goal to reach net zero by 2050, becoming one of the first sectors in the world to set such an ambitious target. This report is the fourth annual assessment of the industry’s progress towards ... more

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Measuring the Emissions & Energy Footprint of the ICT Sector: Implications for Climate Action

Washington, DC; Geneva: World Bank; ITU (2024), vi, 45 pp.

"The objective of this report is two-fold. First, the report breaks down the energy and emissions profile of the sector and assesses the 30 highest emitting countries for telecommunications while providing global estimates for other ICT sector segments. The report uses a key framework for categorizi ... more

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Cero emisiones netas en el sector móvil: América Latina. La acción por el clima en la región 2024

London: GSMA (2024), 26 pp.

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Circular and Sustainable Public Procurement ICT Equimpent Guide

ITU; GovStack (2023), 86 pp.

"This is a guide for governments and other public sector organizations that procure information and communications technology (ICT) equipment, systems and services. It sets out the systems and process requirements for ICT procurement in a way that supports the transition to circular and sustainable ... more

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Digital Entrepreneurship in Vietnam’s Green Tech Sector: An Analysis of Challenges and Implications

Pablo Perez Akaki, Mohammad Atif Aleem, Arturo Sánchez Carmona et al.

Berlin: Alexander von Humboldt Institute for Internet and Society (HIIG) (2023), 18 pp.

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Ecological Standards for German Cinema, TV, and Online/VoD Productions

Stuttgart: "Green Shooting" Workgroup (2023), 16 pp.

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Towards the harmonization of data collection: A baseline study for e-waste in East Africa

Vanessa Forti, Rosie McDonald

Geneva: ITU (2023), x, 38 pp.

"This study enabled countries in East Africa to produce national statistics on e-waste generated that are harmonized and comparable across countries because the same methods and tools have been used in the assessment. In addition, households and businesses surveys were piloted in Kenya and Burundi t ... more

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Energy challenges for mobile networks in Sub-Saharan Africa: The need for clean and reliable energy for universal connectivity and digital transformation

London: GSMA (2023), 48 pp.

Digitaler Kolonialismus: Wie Tech-Konzerne und Großmächte die Welt unter sich aufteilen Deep Insights

The Global E-Waste Monitor 2024 Deep Insights

Digitaler Kolonialismus: Wie Tech-Konzerne und Großmächte die Welt unter sich aufteilen
Deep Insights

The Global E-Waste Monitor 2024
Deep Insights