AI has moved decisively from experimentation to production. In just the first few months of 2026, enterprises across industries have accelerated investment in AI, bringing new urgency to how infrastructure is designed, deployed and scaled. For telecom providers, this shift presents several fundamental challenges: Exploding demand for bandwidth, driven by AI model training and tuning New traffic patterns, as enterprises connect to cloud environments and distributed AI ecosystems for both training and inference Rising expectations for low latency, security and data sovereignty Pressure to evolve beyond connectivity into higher-value services To overcome these challenges and respond to emerging demand, telecom operators urgently need to explore…

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