Examining the Environmental Footprint of Artificial Intelligence

While artificial intelligence is often viewed as a powerful tool for enhancing environmental monitoring, a paradoxical reality is simultaneously unfolding. The development and deployment of AI systems require vast amounts of energy, computing power, water resources, and digital infrastructure, raising important concerns about their environmental footprint. From data center construction and operation to growing demands for electricity, water consumption, and electronic waste disposal, AI technologies themselves can place significant pressures on natural and environmental systems. As these technologies become increasingly embedded across society, it is essential to better understand both their environmental benefits and their hidden ecological costs. This growing tension highlights the need for scholarly research that critically evaluates the true environmental and sustainability implications of artificial intelligence in a rapidly digitalizing world. Examining the Environmental Footprint of Artificial Intelligence provides a critical examination of the environmental consequences of AI technologies, highlighting the opportunities, tradeoffs, and sustainability challenges that accompany the rapid expansion of artificial intelligence across modern society. Bridging scientific research, case studies, and policy analysis, this book provides a balanced, evidence-based exploration of the ecological risks tied to the accelerating demand for AI infrastructure. Covering topics such as critical minerals for AI hardware, the ecological political economy of AI, and technology leadership education, this book is an imperative academic resource for graduate and doctoral students, sustainability professionals, ESG practitioners, technology developers, AI practitioners, data scientists, regulators, environmental policymakers, and more.