Artificial Intelligence has transformed the way we process data, make decisions, and interact with technology. Yet, many of today’s most powerful AI models are constrained by classical computing limits—whether in terms of training efficiency, optimization, or scalability. Quantum computing offers a fundamentally new paradigm, one that promises to break through these bottlenecks. In this talk, we will explore how quantum computing and AI complement each other, creating a partnership that could reshape industries. From leveraging quantum hardware to accelerate machine learning, to applying AI in the design, control, and error correction of quantum systems, the advantages run both ways. We will also examine practical pathways: what problems are ready for quantum advantage, where hybrid quantum-classical architectures can create immediate value, and how photonic quantum systems open doors to scalable, real-world solutions.