Internal Developer Platforms are facing a new challenge: supporting teams that need both traditional and AI development capabilities. Based on practical experience building enterprise platforms, this talk explores how to evolve your IDP to support AI workloads without breaking what already works. We'll examine approaches to managing specialized hardware resources, implementing efficient CI/CD for ML models, and creating developer experiences that support both traditional and AI development workflows. You'll learn strategies for implementing GPU sharing, managing model deployments, and creating self-service capabilities that work for all developer personas. The session includes patterns for platform evolution, real examples of AI-ready IDPs, and frameworks for measuring platform effectiveness in the AI era.