AI-Driven Strategies for Cloud Cost Optimization
Anup Raja Sarabu · International Journal on Science and Technology · 2025
Cloud infrastructure has become essential for modern enterprises, but managing associated costs presents significant challenges. Organizations struggle with overprovisioning, resource inefficiencies, and unexpected billing spikes, wasting substantial portions of their cloud spend. Artificial intelligence offers powerful solutions by introducing data-driven decision-making into cloud resource management. This article explores five AI-powered strategies for cloud cost optimization: machine learning in predictive cost management, AI-optimized resource allocation and workload auto-scaling, comparative solutions from major providers like Google Cloud's Recommender AI and AWS Compute Optimizer, serverless computing paired with AI, and approaches to overcome challenges in implementation. Organizations implementing these technologies achieve substantial cost reductions while maintaining or improving application performance, demonstrating that AI-driven optimization represents the future of efficient cloud financial management.