CSPs are expanding their digital infrastructure—and as they do, energy consumption continues to rise. This increases both operational costs and carbon emissions. This Catalyst addresses the urgent need to optimize energy use across network operations using AI, machine learning, and data analytics. The solution integrates an AI-driven analytics engine into the network management layer. It ingests telemetry data from power systems, equipment performance logs, and traffic patterns across both access and core domains. Using machine learning models, it detects anomalous energy use, forecasts load requirements, and dynamically adjusts network parameters—such as power modes, cooling profiles, and traffic routing—to minimize unnecessary consumption. These adjustments occur in near-real time, reducing operational overhead and extending the usable life of hardware. The solution follows TM Forum Open Digital Architecture (ODA) and Open APIs for modularity and interoperability. As a result, it supports modular deployment and seamless integration with existing OSS/BSS systems. Unlike traditional methods, this solution combines predictive analytics with intent-based automation. It supports smarter energy provisioning for both access and transport networks—reducing over-provisioning and unnecessary energy draw. CSPs gain a clearer view of their carbon footprint and can align energy-saving initiatives with broader sustainability targets. The business value is twofold: reduced energy and maintenance costs, and improved brand reputation through demonstrable sustainability leadership. In a market where environmental accountability increasingly influences customer and investor decisions, this Catalyst enables CSPs to lead by example. By embedding intelligent energy optimisation directly into operational workflows, CSPs can cut emissions, boost uptime, and reduce costs. Crucially, this Catalyst will demonstrate that they can do this without compromising performance. The aim is to show that sustainability isn’t just good governance—it’s a core driver of resilience and long-term growth.