Sustainable Management of Water Resources Amid the Global Expansion of AI Data Centers
作者
K. Ganesh Kumar,K. Balamurugan,T. Sangamithra,S. Periyasamy,N. V. Keerthana,S. Sujan
出处
期刊:Advances in computational intelligence and robotics book series [IGI Global] 日期:2026-06-29卷期号:: 129-158
标识
DOI:10.4018/979-8-2600-2761-5.ch005
摘要
The explosive worldwide growth of Artificial Intelligence (AI) infrastructures has added new layers to digital infrastructure complexity while generating an unprecedented demand for natural resources especially water. With increasing computational requirements for AI models, data centers need large cooling systems, many of which rely on substantial amounts of freshwater. This chapter investigates its implications for increasing pressures on global water resources. It analyses evolving water consumption trends in relation to regional vulnerabilities, environmental implications and sustainability issues associated with technological growth. The chapter presents a multi policy intervention-level platform approach to balancing AI innovation and responsible water management (through sustainable cooling technology and strategic site selection). By demonstrating the new possibilities for human-centered AI, the results hope to inspire policymakers, technologists, and environmental planners to cultivate more just and sustainable AI-centric futures.