Ai-Driven Sustainability: Exploring Historical Developments, Applications, and Future Horizons

Artificial Intelligence has now emerged as one of the most powerful tools to tackle various sustainability issues from climate change and resource management to environmental degradation. The historical development, applications, and future horizons of AI-driven sustainability are researched in this paper, focusing on some of the significant contributions made in sectors ranging from energy and agriculture to urban planning. Industries will be able to optimize resource use, enhance energy efficiency, and introduce sustainable practices with the help of AI technologies such as machine learning, deep learning, and big data analytics. Several other relevant issues regarding the integration of AI include data privacy, biases, limitation of infrastructure, and regulatory uncertainties. The latest innovations in AI, such as quantum computing and bio-inspired algorithms, show promise in pursuit of sustainability goals. The paper reiterates the need for cross-sectoral collaboration, responsible development, and strategic governance in unleashing the maximum positive impact of AI on global sustainability.