Sarcouncil Journal of Engineering and Computer Sciences

Abstract: This article examines the complex and multifaceted environmental implications of integrating artificial intelligence technologies into cloud computing architectures, particularly within enterprise resource planning and customer relationship management systems. The article reveals a nuanced relationship between technological advancement and environmental impact. The article demonstrates how AI-driven automation simultaneously offers significant sustainability benefits through optimized resource utilization while creating new environmental pressures through increased computational demands. Drawing on case studies from major cloud providers and emerging technological innovations, the article identifies promising pathways toward more sustainable digital infrastructure, including specialized hardware development, software optimization techniques, and renewable energy integration. The article extends beyond direct energy considerations to encompass broader supply chain impacts, regulatory frameworks, and ethical dimensions of sustainable AI deployment. By synthesizing technical, operational, and policy perspectives, this article contributes to an emerging framework for environmentally responsible cloud-AI integration that balances innovation imperatives with ecological stewardship. The article suggests that realizing the full environmental potential of these transformative technologies requires deliberate design choices, comprehensive assessment methodologies, and collaborative governance approaches that explicitly incorporate sustainability as a core performance metric rather than an ancillary consideration.