Korea Business Review
Korea Business Review

esg-market-cases

A New ESG Issue in the AI Era: How Data Center Power and Water Consumption Are Changing Corporate Sustainability

Driven by the proliferation of AI, global data center electricity demand is projected to surge from 415 TWh in 2024 to approximately 700 to 1,300 TWh by 2030 (945 TWh under the IEA baseline scenario), with demand for AI-specific data centers expected to increase approximately threefold over the same period. Water consumption per prompt varies significantly depending on the measurement methodology, ranging from about 0.26 mL (five drops of water) based on actual Google Gemini measurements to about 45 mL based on Mistral disclosures, while total global data center water consumption could rise from approximately 560 billion liters in 2023 to about 1.2 trillion liters by 2030. Microsoft reported that its total emissions increased by 23.4% compared to 2020 due to AI and cloud expansion, with Scope 3 (indirect emissions) accounting for approximately 97% of the total, bringing resource efficiency across the supply chain to the forefront as a key challenge. Domestic data center electricity demand is expected to grow at an annual average of 11% through 2028, and power applications for data centers in the Seoul metropolitan area alone reach approximately 20 GW (equivalent to 20 nuclear power plants), pointing to grid bottlenecks and supply imbalances as structural risks. The KSSB finalized Sustainability Disclosure Standards Nos. 1 and 2 based on the ISSB in February 2026, and under the Financial Services Commission's roadmap draft, ESG disclosures are scheduled to become mandatory for KOSPI-listed companies with assets of 30 trillion won or more starting in 2028, making data center power and water usage a 'disclosure item right next to the financial statements.'

박소유 책임기자Published 2026년 6월 27일Updated 2026년 9월 3일
Share
A New ESG Issue in the AI Era: How Data Center Power and Water Consumption Are Changing Corporate Sustainability

Driven by the proliferation of AI, global data center electricity demand is projected to surge from 415 TWh in 2024 to approximately 700 to 1,300 TWh by 2030 (945 TWh under the IEA baseline scenario), with demand for AI-specific data centers expected to increase approximately threefold over the same period. Water consumption per prompt varies significantly depending on the measurement methodology, ranging from about 0.26 mL (five drops of water) based on actual Google Gemini measurements to about 45 mL based on Mistral disclosures, while total global data center water consumption could rise from approximately 560 billion liters in 2023 to about 1.2 trillion liters by 2030. Microsoft reported that its total emissions increased by 23.4% compared to 2020 due to AI and cloud expansion, with Scope 3 (indirect emissions) accounting for approximately 97% of the total, bringing resource efficiency across the supply chain to the forefront as a key challenge. Domestic data center electricity demand is expected to grow at an annual average of 11% through 2028, and power applications for data centers in the Seoul metropolitan area alone reach approximately 20 GW (equivalent to 20 nuclear power plants), pointing to grid bottlenecks and supply imbalances as structural risks. The KSSB finalized Sustainability Disclosure Standards Nos. 1 and 2 based on the ISSB in February 2026, and under the Financial Services Commission's roadmap draft, ESG disclosures are scheduled to become mandatory for KOSPI-listed companies with assets of 30 trillion won or more starting in 2028, making data center power and water usage a 'disclosure item right next to the financial statements.'

Behind the generative AI boom lie power grids and water tanks. The electricity and water consumed by data centers are rapidly shifting from mere corporate reputation issues to 'financial risks' that determine disclosure obligations and capital raising. The 'Invisible' Resource Bill Created by AI Asking questions to chat-bots and generating images happens smoothly on the screen, but those computations consume massive amounts of electricity and water at data centers somewhere. While AI has long been perceived as 'software,' international organizations and research institutions have recently united in emphasizing that AI is a 'physical infrastructure' spanning data centers, power generation facilities, cooling systems, transmission grids, and semiconductors. However, estimates of how much water a single AI response consumes vary up to several hundredfold depending on the measurement methodo…

KBR Access

ESG 콘텐츠는 Premium 전용 콘텐츠입니다

이 콘텐츠는 Premium 회원에게 제공되는 프리미엄 콘텐츠입니다. Premium은 1개월 이용권 34,900원(1회 결제·자동갱신 없음)과 월 정기결제 29,900원/월 상품으로 구분됩니다. 1개월 이용권과 월 정기결제 모두 토스페이먼츠로 이용할 수 있습니다. ESG, KBR 아티클, KBR Analysis 등 핵심 프리미엄 콘텐츠를 열람할 수 있습니다.

이번 달 열람 현황: 0 / 0건 사용