CAST AI's report reveals that organizations waste significant cloud resources, using only 13% of provisioned CPUs and 20% of memory in Kubernetes clusters. The study highlights overprovisioning and low utilization of spot instances as key factors. It calls for AI-driven solutions to optimize resource management amid rising cloud costs.

The OpenCost project outlined its achievements in 2025 and plans for 2026, including 11 releases that improved usability and multi-cloud cost tracking. Key advancements include an AI-ready MCP server for real-time cost analysis and ongoing community mentorship efforts. Future goals focus on tracking machine-learning workloads and enhancing supply chain security.