Oracle and Classiq have successfully integrated quantum AI agents with Oracle Cloud Infrastructure (OCI) to optimize a 36-qubit portfolio using high-performance computing (HPC) simulation. This proof of concept demonstrates the ability to generate complex quantum code from natural-language prompts, which can then be compiled and executed on classical simulation clusters. The end-to-end workflow showcases the potential for AI-driven quantum software development, enabling users to create sophisticated quantum applications without requiring extensive quantum expertise. The integration of quantum AI agents with OCI has significant implications for optimization problems, such as portfolio optimization, which can be solved more efficiently using quantum computing1. This development matters to practitioners because it highlights the growing urgency for post-quantum cryptography (PQC) planning, as advancements in quantum computing narrow the timeline for cryptographic migration.