{"title":"AI may exacerbate the energy trilemma.","authors":"Shiyu Sheng, Zebin Zhao","doi":"10.1093/inteam/vjaf070","DOIUrl":null,"url":null,"abstract":"<p><p>The rapid expansion of artificial intelligence (AI) is intensifying the global energy trilemma, threatening security, equity, and sustainability. Its soaring electricity demand-projected to rival Japan's entire annual consumption by 2030-is the primary driver. This surge poses a direct threat to energy security, as demand growth dramatically outpaces grid infrastructure development and provokes regional power crises. This trend also undermines energy equity: locally, it drives up electricity prices, unfairly burdening consumers, while globally, it creates a stark imbalance wherein developed nations reap the benefits of AI while developing regions disproportionately bear the environmental costs of raw material extraction. Finally, this dynamic challenges energy sustainability, as short-term, AI-driven productivity gains are often eclipsed by unsustainable energy consumption. While AI holds immense long-term potential to advance a green transition, realizing this is contingent upon embedding the technology within an inclusive governance framework that aligns its trajectory with the overarching goals of sustainable development.</p>","PeriodicalId":13557,"journal":{"name":"Integrated Environmental Assessment and Management","volume":"21 5","pages":"1223-1224"},"PeriodicalIF":8.4000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrated Environmental Assessment and Management","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1093/inteam/vjaf070","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid expansion of artificial intelligence (AI) is intensifying the global energy trilemma, threatening security, equity, and sustainability. Its soaring electricity demand-projected to rival Japan's entire annual consumption by 2030-is the primary driver. This surge poses a direct threat to energy security, as demand growth dramatically outpaces grid infrastructure development and provokes regional power crises. This trend also undermines energy equity: locally, it drives up electricity prices, unfairly burdening consumers, while globally, it creates a stark imbalance wherein developed nations reap the benefits of AI while developing regions disproportionately bear the environmental costs of raw material extraction. Finally, this dynamic challenges energy sustainability, as short-term, AI-driven productivity gains are often eclipsed by unsustainable energy consumption. While AI holds immense long-term potential to advance a green transition, realizing this is contingent upon embedding the technology within an inclusive governance framework that aligns its trajectory with the overarching goals of sustainable development.
期刊介绍:
Integrated Environmental Assessment and Management (IEAM) publishes the science underpinning environmental decision making and problem solving. Papers submitted to IEAM must link science and technical innovations to vexing regional or global environmental issues in one or more of the following core areas:
Science-informed regulation, policy, and decision making
Health and ecological risk and impact assessment
Restoration and management of damaged ecosystems
Sustaining ecosystems
Managing large-scale environmental change
Papers published in these broad fields of study are connected by an array of interdisciplinary engineering, management, and scientific themes, which collectively reflect the interconnectedness of the scientific, social, and environmental challenges facing our modern global society:
Methods for environmental quality assessment; forecasting across a number of ecosystem uses and challenges (systems-based, cost-benefit, ecosystem services, etc.); measuring or predicting ecosystem change and adaptation
Approaches that connect policy and management tools; harmonize national and international environmental regulation; merge human well-being with ecological management; develop and sustain the function of ecosystems; conceptualize, model and apply concepts of spatial and regional sustainability
Assessment and management frameworks that incorporate conservation, life cycle, restoration, and sustainability; considerations for climate-induced adaptation, change and consequences, and vulnerability
Environmental management applications using risk-based approaches; considerations for protecting and fostering biodiversity, as well as enhancement or protection of ecosystem services and resiliency.