Traditional cloud auto scaling often reacts too late to sudden spikes in demand, leading to downtime or inefficiencies. In this talk, Misra introduces a forward-looking approach to scaling infrastructure by leveraging AI to predict usage patterns based on historical traffic data. This proactive model enables cloud systems to scale ahead of demand, ensuring seamless performance and cost optimization even during unexpected surges. The session outlines how this AI-driven auto scaling solution can be adapted across industries such as finance, retail, and media, each with distinct scaling behaviors. Misra will walk through the key design considerations, explain how machine learning can be integrated into existing architectures, and share practical steps for implementing a more intelligent, responsive cloud scaling strategy. Attendees will leave with a flexible framework to build more scalable, resilient systems while minimizing manual intervention and operational overhead.