The key AI question is no longer just whether AI can run but whether the network can support the speed, symmetry, and resilience that modern AI use cases require. Most business leaders view network infrastructure as a technical implementation detail rather than a strategic enabler. That assumption is dangerous. Organizations that continue to treat networking as a commodity risk constraining the very AI capabilities they seek to deploy. Networking increasingly forms part of a broader AI technology stack rather than operating as a standalone infrastructure layer. Yes, GSMA is predicting mobile AI traffic to grow at 73% CAGR through 2033, but that is not the news. AI is evolving from chatbots to autonomous agents capable of collaborating with humans, devices, robots, and other agents. Contrary to common perceptions about the role of the network for AI, the underlying communications infrastructure is becoming a critical determinant of business value. This Expert View highlights why AI professionals must take network infrastructure into account for driving AI success.
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