{"version":"1","article":{"id":"uae-ai-water-energy-report-data-centres-2026","slug":"uae-ai-water-energy-report-data-centres-2026","language":"en","url":"https://haberpaper.com/en/news/uae-ai-water-energy-report-data-centres-2026","api_url":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026?lang=en","title":"UAE report calls for joint planning of AI’s water and energy footprint","summary":"The Crosscurrents report, released on 7 October, traces AI’s value chain from chip fabrication to power generation and updates a global data-centre water projection for 2030.","category":"energy","region":"world","topics":[],"published_at":"2026-10-08T18:08:38+03:00","modified_at":"2026-10-08T18:08:38+03:00","publication_basis":"publication-record","event_period":"2026-10-07","event_period_basis":"event-or-reference-period","sources":[{"name":"UAE Ministry of Foreign Affairs, Crosscurrents report announcement","url":"https://www.mofa.gov.ae/en/MediaHub/News/2026/10/7/uae-AI-Water-Energy-Nexus","publishedAt":"2026-10-07","checkedAt":"2026-10-08"},{"name":"UAE Permanent Mission to the United Nations and Eurasia Group, Crosscurrents: Navigating the AI–Water–Energy Nexus (full report)","url":"https://www.mofa.gov.ae/-/media/Feature/User-Guides/Crosscurrents-Report-Final.pdf","publishedAt":"2026-10-07","checkedAt":"2026-10-08"}],"translations":[{"language":"tr","url":"https://haberpaper.com/tr/news/uae-ai-water-energy-report-data-centres-2026","api_url":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026?lang=tr"},{"language":"en","url":"https://haberpaper.com/en/news/uae-ai-water-energy-report-data-centres-2026","api_url":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026?lang=en"},{"language":"ar","url":"https://haberpaper.com/ar/news/uae-ai-water-energy-report-data-centres-2026","api_url":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026?lang=ar"},{"language":"fr","url":"https://haberpaper.com/fr/news/uae-ai-water-energy-report-data-centres-2026","api_url":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026?lang=fr"},{"language":"es","url":"https://haberpaper.com/es/news/uae-ai-water-energy-report-data-centres-2026","api_url":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026?lang=es"}],"data_types":["metrics"],"data":{"version":1,"blocks":[{"id":"uae-ai-data-centre-resource-outlook","type":"metrics","title":{"tr":"Raporda aktarılan küresel veri merkezi tahminleri","en":"Global data-centre estimates cited in the report","ar":"تقديرات مراكز البيانات العالمية الواردة في التقرير","fr":"Estimations mondiales des centres de données citées dans le rapport","es":"Estimaciones mundiales de centros de datos citadas en el informe"},"description":{"tr":"Elektrik kullanımı ve su ayak izi tahminleri; toplam veri merkezi altyapısı ile yapay zekâ odaklı bölümü ayırır.","en":"Estimated electricity use and water footprint, separating all data-centre infrastructure from the AI-focused portion.","ar":"تقديرات استخدام الكهرباء والبصمة المائية مع الفصل بين جميع مراكز البيانات والجزء المرتبط بالذكاء الاصطناعي.","fr":"Estimations d’électricité et d’empreinte hydrique, séparant l’ensemble des centres de données de la part axée sur l’IA.","es":"Estimaciones de electricidad y huella hídrica que separan todos los centros de datos de la parte centrada en IA."},"methodology":{"tr":"Küresel model değerleri MOFA raporunun aktardığı UNU 2026 çalışmasına aittir. 2025 değerleri tahmin, 2030 değerleri öngörüdür; gerçekleşmiş BAE tüketimi değildir. Yapay zekâ tesisleri toplamın alt kümesidir ve toplamla toplanmaz. TWh yıllık enerji, trilyon litre ise modeldeki su ayak izidir; doğrudan tesis su tüketimiyle eşitlenmez.","en":"Global model values are from the UNU 2026 study cited by the MOFA report. Values for 2025 are estimates and for 2030 forecasts, not observed UAE consumption. AI facilities are a subset of the total and must not be added to it. TWh measures annual energy; trillion litres measure the modelled water footprint, not necessarily direct facility consumption.","ar":"القيم العالمية من دراسة جامعة الأمم المتحدة لعام 2026 التي نقلها تقرير الوزارة. قيم 2025 تقديرات وقيم 2030 توقعات وليست استهلاكاً إماراتياً مرصوداً. مرافق الذكاء الاصطناعي جزء من الإجمالي ولا تضاف إليه. تيراواط ساعة طاقة سنوية، وتريليون لتر بصمة مائية مقدرة بالنموذج وليست بالضرورة الاستهلاك المباشر للمرافق.","fr":"Les valeurs mondiales proviennent de l’étude UNU 2026 citée par le rapport du ministère. Les valeurs de 2025 sont des estimations et celles de 2030 des prévisions, pas une consommation observée aux Émirats. Les installations d’IA sont un sous-ensemble du total et ne s’y ajoutent pas. Les TWh mesurent l’énergie annuelle ; les billions de litres représentent l’empreinte hydrique modélisée, pas nécessairement la consommation directe des installations.","es":"Los valores globales proceden del estudio UNU 2026 citado por el informe del ministerio. Los de 2025 son estimaciones y los de 2030 previsiones, no consumo observado en los Emiratos. Las instalaciones de IA son un subconjunto del total y no se suman a él. Los TWh miden energía anual; los billones de litros representan la huella hídrica modelada, no necesariamente consumo directo de las instalaciones."},"sourceUrls":["https://www.mofa.gov.ae/en/MediaHub/News/2026/10/7/uae-AI-Water-Energy-Nexus","https://www.mofa.gov.ae/-/media/Feature/User-Guides/Crosscurrents-Report-Final.pdf"],"updatedAt":"2026-10-07T23:28:52+00:00","items":[{"label":{"tr":"Tüm veri merkezlerinin küresel elektrik talebi","en":"Global electricity demand of all data centres","ar":"الطلب العالمي على الكهرباء لجميع مراكز البيانات","fr":"Demande mondiale d’électricité de tous les centres de données","es":"Demanda eléctrica mundial de todos los centros de datos"},"value":448,"unit":"TWh","period":"2025","basis":"estimate","measure":{"id":"global-data-centre-electricity-demand","unitCode":"twh","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}},{"label":{"tr":"Tüm veri merkezlerinin küresel elektrik talebi","en":"Global electricity demand of all data centres","ar":"الطلب العالمي على الكهرباء لجميع مراكز البيانات","fr":"Demande mondiale d’électricité de tous les centres de données","es":"Demanda eléctrica mundial de todos los centros de datos"},"value":945,"unit":"TWh","period":"2030","basis":"forecast","measure":{"id":"global-data-centre-electricity-demand","unitCode":"twh","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}},{"label":{"tr":"Yapay zekâ veri merkezlerinin küresel elektrik talebi; alt küme","en":"Global AI data-centre electricity demand; subset","ar":"طلب الكهرباء العالمي لمراكز الذكاء الاصطناعي؛ جزء من الإجمالي","fr":"Demande mondiale d’électricité des centres d’IA ; sous-ensemble","es":"Demanda eléctrica mundial de centros de IA; subconjunto"},"value":93,"unit":"TWh","period":"2025","basis":"estimate","measure":{"id":"global-ai-data-centre-electricity-demand","unitCode":"twh","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}},{"label":{"tr":"Yapay zekâ veri merkezlerinin küresel elektrik talebi; alt küme","en":"Global AI data-centre electricity demand; subset","ar":"طلب الكهرباء العالمي لمراكز الذكاء الاصطناعي؛ جزء من الإجمالي","fr":"Demande mondiale d’électricité des centres d’IA ; sous-ensemble","es":"Demanda eléctrica mundial de centros de IA; subconjunto"},"value":378,"unit":"TWh","period":"2030","basis":"forecast","measure":{"id":"global-ai-data-centre-electricity-demand","unitCode":"twh","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}},{"label":{"tr":"Tüm veri merkezlerinin küresel su ayak izi","en":"Global water footprint of all data centres","ar":"البصمة المائية العالمية لجميع مراكز البيانات","fr":"Empreinte hydrique mondiale de tous les centres de données","es":"Huella hídrica mundial de todos los centros de datos"},"value":4.5,"unit":"trillion litres","period":"2025","basis":"estimate","measure":{"id":"global-data-centre-water-footprint","unitCode":"trillion-litres","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}},{"label":{"tr":"Tüm veri merkezlerinin küresel su ayak izi","en":"Global water footprint of all data centres","ar":"البصمة المائية العالمية لجميع مراكز البيانات","fr":"Empreinte hydrique mondiale de tous les centres de données","es":"Huella hídrica mundial de todos los centros de datos"},"value":9.32,"unit":"trillion litres","period":"2030","basis":"forecast","measure":{"id":"global-data-centre-water-footprint","unitCode":"trillion-litres","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}},{"label":{"tr":"Yapay zekâ veri merkezlerinin küresel su ayak izi; alt küme","en":"Global AI data-centre water footprint; subset","ar":"البصمة المائية العالمية لمراكز الذكاء الاصطناعي؛ جزء من الإجمالي","fr":"Empreinte hydrique mondiale des centres d’IA ; sous-ensemble","es":"Huella hídrica mundial de centros de IA; subconjunto"},"value":0.9,"unit":"trillion litres","period":"2025","basis":"estimate","measure":{"id":"global-ai-data-centre-water-footprint","unitCode":"trillion-litres","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}},{"label":{"tr":"Yapay zekâ veri merkezlerinin küresel su ayak izi; alt küme","en":"Global AI data-centre water footprint; subset","ar":"البصمة المائية العالمية لمراكز الذكاء الاصطناعي؛ جزء من الإجمالي","fr":"Empreinte hydrique mondiale des centres d’IA ; sous-ensemble","es":"Huella hídrica mundial de centros de IA; subconjunto"},"value":3.7,"unit":"trillion litres","period":"2030","basis":"forecast","measure":{"id":"global-ai-data-centre-water-footprint","unitCode":"trillion-litres","geography":"global","frequency":"annual","aggregation":"flow","periodRole":"reference-period"}}]}]},"data_compilations":[{"id":"uae-ai-data-centre-resource-outlook","creator":{"@type":"Organization","@id":"https://haberpaper.com/#organization","name":"Haber Paper","url":"https://haberpaper.com/"},"license":{"@type":"CreativeWork","@id":"https://haberpaper.com/en/data-terms/v1#license","name":"Haber Paper Original Data Compilation License 1.0","url":"https://haberpaper.com/en/data-terms/v1"},"rights_scope":"Haber Paper original data arrangement, labels and methodology notes only; underlying source rights and permissions remain separate.","source_license_url":null}],"data_downloads":[{"id":"uae-ai-data-centre-resource-outlook","formats":{"json":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026/data/uae-ai-data-centre-resource-outlook?lang=en&format=json","csv":"https://haberpaper.com/api/v1/articles/uae-ai-water-energy-report-data-centres-2026/data/uae-ai-data-centre-resource-outlook?lang=en&format=csv"}}],"content":{"paragraphs":["The UAE Ministry of Foreign Affairs released “Crosscurrents: Navigating the AI–Water–Energy Nexus” on 7 October. Prepared by the UAE Permanent Mission to the United Nations with analysis from Eurasia Group, the report argues that AI’s resource needs cannot be reduced to data-centre cooling. It treats semiconductor fabrication, electricity generation, facility cooling and pressure on local water basins as connected stages. The report recommends planning water and energy alongside digital infrastructure, with permitting decisions reflecting local basin conditions and community input.","The report cites a 2026 study that estimates global data-centre electricity use at 448 terawatt-hours (TWh) in 2025, with a water footprint of 4.5 trillion litres. AI-focused facilities account for an estimated 93 TWh and 0.9 trillion litres. For 2030, the study projects total data-centre electricity use of 945 TWh and water use of 9.32 trillion litres; the AI portion is projected at 378 TWh and 3.7 trillion litres. These are model estimates and projections as reported in the document, not measured consumption or figures for UAE facilities alone. The report also stresses that substantial water use occurs upstream, including at power plants and chip factories, rather than at data centres themselves.","That broader boundary helps explain why technology firms, power and water utilities, and city planners need to coordinate. For example, cooling systems that use little water can require more electricity, while the way electricity is generated changes its indirect water footprint. The report does not present one cooling technology as a universal answer. Choices need to reflect temperature, local water scarcity, the power mix, equipment efficiency and how heat is rejected. Efficiency gains also do not guarantee lower total resource use: demand for cheaper computing capacity can partly offset savings.","The report’s five recommendations include shared international principles for responsible water use, integrated national and basin-level water-energy planning, comparable disclosure, investment in water-efficient technology and incentives for private firms. The 8–10 December 2026 UN Water Conference, co-hosted by the UAE and Senegal, is presented as an upcoming forum for discussion; the announcement does not say the conference has adopted the recommendations. More useful company indicators would include water withdrawn and consumed at each facility, source and basin stress, indirect water impacts from electricity, and disclosure across chip supply chains. The report does not show that such data are already published using a common scope and method, leaving comparable performance measurement as a policy and data gap."],"key_points":[],"sections":[]},"text":"The Crosscurrents report, released on 7 October, traces AI’s value chain from chip fabrication to power generation and updates a global data-centre water projection for 2030.\n\nThe UAE Ministry of Foreign Affairs released “Crosscurrents: Navigating the AI–Water–Energy Nexus” on 7 October. Prepared by the UAE Permanent Mission to the United Nations with analysis from Eurasia Group, the report argues that AI’s resource needs cannot be reduced to data-centre cooling. It treats semiconductor fabrication, electricity generation, facility cooling and pressure on local water basins as connected stages. The report recommends planning water and energy alongside digital infrastructure, with permitting decisions reflecting local basin conditions and community input.\n\nThe report cites a 2026 study that estimates global data-centre electricity use at 448 terawatt-hours (TWh) in 2025, with a water footprint of 4.5 trillion litres. AI-focused facilities account for an estimated 93 TWh and 0.9 trillion litres. For 2030, the study projects total data-centre electricity use of 945 TWh and water use of 9.32 trillion litres; the AI portion is projected at 378 TWh and 3.7 trillion litres. These are model estimates and projections as reported in the document, not measured consumption or figures for UAE facilities alone. The report also stresses that substantial water use occurs upstream, including at power plants and chip factories, rather than at data centres themselves.\n\nThat broader boundary helps explain why technology firms, power and water utilities, and city planners need to coordinate. For example, cooling systems that use little water can require more electricity, while the way electricity is generated changes its indirect water footprint. The report does not present one cooling technology as a universal answer. Choices need to reflect temperature, local water scarcity, the power mix, equipment efficiency and how heat is rejected. Efficiency gains also do not guarantee lower total resource use: demand for cheaper computing capacity can partly offset savings.\n\nThe report’s five recommendations include shared international principles for responsible water use, integrated national and basin-level water-energy planning, comparable disclosure, investment in water-efficient technology and incentives for private firms. The 8–10 December 2026 UN Water Conference, co-hosted by the UAE and Senegal, is presented as an upcoming forum for discussion; the announcement does not say the conference has adopted the recommendations. More useful company indicators would include water withdrawn and consumed at each facility, source and basin stress, indirect water impacts from electricity, and disclosure across chip supply chains. The report does not show that such data are already published using a common scope and method, leaving comparable performance measurement as a policy and data gap.","corrections":[],"editorial_illustration":{"kind":"symbolic-editorial-illustration","documentary":false,"scope":"section","asset_id":"energy","url":"https://haberpaper.com/assets/illustrations/energy-1536.webp","width":1536,"height":1024,"alt":"Symbolic energy landscape with solar panels, wind turbines and transmission lines.","language":"en"},"section_illustration":{"kind":"symbolic-editorial-illustration","documentary":false,"scope":"section","asset_id":"energy","url":"https://haberpaper.com/assets/illustrations/energy-1536.webp","width":1536,"height":1024,"alt":"Symbolic energy landscape with solar panels, wind turbines and transmission lines.","language":"en"}}}