Speaking at the event’s Agentic AI Summit on Wednesday, Vinesh Sukumar, Qualcomm’s vice-president of AI product management, said the company sees a paradigm shift as AI evolves from generative models to intelligent agents that act autonomously based on user intent. Still, building agentic AI – systems capable of autonomous action – poses challenges, especially around consistency, accuracy, and responsiveness. Key to this is Qualcomm’s Hexagon NPU, a dedicated AI accelerator that handles high-efficiency matrix and tensor operations critical to AI workloads while minimizing battery drainage. Commercial deployment of edge AI has already begun, Sukumar said, with cases spanning photo editing, content generation, and real-time code creation. As edge AI gains momentum amid hardware limitations and privacy concerns around cloud computing, Qualcomm is positioning itself as a leading infrastructure provider – not just in mobile chips, but in the AI systems that power next-generation user experiences.