The trends require telecoms to rethink capacity planning, latency management and operational tooling now, or risk service degradation as AI applications scale; they also demand new skills and governance to safely automate and monetize next‑generation services.
Speakers said AI is already reshaping telecom networks by shifting traffic from downlink-heavy to more uplink- and east‑west‑oriented patterns, driven by persistent, sensor‑style sessions from devices like smart glasses. They warned that AI traffic—projected to make up 20–40% of total traffic—has distinct low‑latency and behavioral requirements that will force new testing, measurement and control approaches. Operators will increasingly use AI as a control layer to optimize performance and manage complex traffic, while applying AI cautiously in deterministic network infrastructure to limit risk. Over the next three to five years, AI is expected to amplify engineers’ productivity and transform roles into supervisory “AI buddies” who manage bias, complexity and strategic automation.
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