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Agentic AI Will Make Uplink the Next Mobile Bottleneck
New report examines how increasing uplink traffic from AI devices such as smart glasses will change the way modern networks operate WILMINGTON, Del., March
About this update from Interdigital, Inc.
[{"type":"text","content":"New report examines how increasing uplink traffic from AI devices such as smart glasses will change the way modern networks operate\nWILMINGTON, Del., March 18, 2026 (GLOBE NEWSWIRE) -- A new report from InterDigital, Inc. (Nasdaq: IDCC), a wireless, video and AI technology research and development company, and market research firm ABI Research explores how the emergence of agentic AI will redefine the demands placed on devices, networks, and cloud infrastructure. The report, titled The Distributed Network Shift Enabling AI on Device, finds that the rapid adoption of agentic systems is expected to increase across enterprise and consumer markets over the next three years. Unlike traditional mobile applications that primarily consume data via downlink, agentic AI systems continuously generate and exchange contextual information to enable real-time reasoning and decision making. Modern mobile networks have historically been optimized for downlink throughput and video delivery. However, as AI devices generate increasing volumes of upstream data, networks risk becoming overloaded, leading to higher latency and costs. The main devices driving uplink traffic include: Smart glasses, which continuously capture video, images, and environmental context, sending data upstream for real-time AI inference and assistance. ABI Research predicts 70 million smart glasses shipments by 2030, with cellular-enabled devices representing more than 12% of shipments.Wearables, including next-generation wearables that collect voice, biometric, and contextual signals to support persistent agentic AI interactions.Smartphones, which increasingly transmit multimodal inputs such as voice, photos, video, and sensor data to cloud and edge AI systems.IoT sensors and devices, which continuously stream operational or environmental data to AI models for analysis, automation, and decision-making. Uplink pressures are already visible in video-heavy applications such as livestreaming and real-time video collaboration, where many users uploading simultaneously can create localized cell congestion. Unlike these temporary spikes, agentic AI systems will generate continuous upstream data exchanges from connected devices, potentially creating sustained pressure on uplink capacity. The report finds that to meet AI demands of modern devices, the industry must transition toward...