IEKView: The Arrival of the AI-Native Communications Era — A Comprehensive Intelligent Transformation of Global Telecommunications and Terminal Devices
2026/06/11
The adoption of AI has become mainstream across industries, and the communications sector responsible for critical cross-border data transmission is no exception. In fact, AI has been deeply embedded from the design stage. As evidenced at the 2026 Mobile World Congress (MWC) held in March, AI is no longer merely for value added applications. Rather, it has become the core logic underlying the architecture design for the communications industry. The shift from “AI + network” to an AI-native paradigm is not simply a technological upgrade, but a reshuffling of the industry value chain.
First, at the level of Radio Access Networks (RAN), AI-RAN has emerged as a key development direction. AI-RAN refers to a revolutionary technology that directly embeds AI into the physical layer of telecom networks. In the past, RAN systems relied on manual configurations and fixed rules for resource allocations. Today, with embedded machine learning models, networks can predict traffic fluctuations in real time, automatically optimize spectrum utilization, and reduce energy consumption. The GPU-accelerated architecture jointly developed by Nokia and NVIDIA enables real-time computing of AI models on the edge, i.e., base stations. Qualcomm has showcased its autonomous network technologies capable of dynamically adjusting frequency band utilization and enhancing the flexibility of resource allocation during peak hours. This is significant because networks are no longer mere transmission channels, but intelligent nodes capable of judgement, orchestration, and optimization.
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