Green AI: How Machine Learning Is Reducing Carbon Footprints

As the world races to combat climate change, artificial intelligence is emerging as a powerful ally in the fight for sustainability.
Green AI explores how machine learning and data-driven technologies are helping industries reduce carbon emissions, optimize energy use, and build environmentally responsible systems. This book reveals how intelligent algorithms are transforming sustainability efforts across sectors—from energy and transportation to manufacturing, agriculture, and smart cities.
Rather than treating AI as a resource-intensive technology, Green AI focuses on its potential to drive efficiency and environmental impact reduction. Readers will learn how machine learning enables smarter energy grids, predictive maintenance, optimized logistics, and real-time monitoring that significantly lowers waste and emissions.
The book also addresses the environmental cost of AI itself, exploring how researchers and organizations are designing more energy-efficient models and responsible computing practices. By balancing innovation with accountability, Green AI presents a realistic and ethical approach to technology-driven sustainability.
Written for professionals, students, policymakers, and environmentally conscious readers, this book explains complex concepts in accessible language while grounding them in real-world application. It highlights how AI can support global climate goals when aligned with thoughtful design and policy.
Sustainability is no longer optional—it’s strategic.
As climate challenges intensify, smarter systems—not greater consumption—will define progress.
Green AI shows how intelligence, when used responsibly, can become one of the most powerful tools in reducing humanity’s carbon footprint and shaping a more sustainable future.