Core Insights - The report from InterDigital and ABI Research highlights how the rise of agentic AI will transform the demands on devices, networks, and cloud infrastructure [1][2] Industry Trends - The adoption of agentic AI systems is projected to increase significantly in both enterprise and consumer markets over the next three years, shifting from traditional mobile applications that mainly consume data to systems that continuously generate and exchange data [2] - Modern mobile networks, historically optimized for downlink throughput, face challenges as AI devices create increasing uplink traffic, risking network overload and higher latency [3] Device Impact - Key devices contributing to uplink traffic include smart glasses, wearables, smartphones, and IoT sensors, all of which continuously stream data for real-time AI processing [7] - ABI Research forecasts that smart glasses shipments will reach 70 million by 2030, with cellular-enabled devices accounting for over 12% of these shipments [7] Network Architecture - To accommodate the demands of AI, the industry must transition to distributed intelligence architectures, where AI workloads are managed across on-device processors and cloud platforms [4] - The report emphasizes the need for networks to support symmetrical traffic patterns and real-time AI workloads across devices, edge, and cloud [5]