Agentic AI will force a rethink at the network edge

# AI Systems Will Soon Need Smarter, More Distributed Networks AI is shifting from tools you control with each request to autonomous agents that make decisions on their own and work together without waiting for approval—think of them as digital employees rather than calculators. This change means companies will need to overhaul how they move data across their networks, because these AI agents work best when they can process information closer to where it's being collected rather than sending everything to a central location. For business leaders, this means network infrastructure that was built for yesterday's AI won't cut it for tomorrow's.
Artificial intelligence is entering a new phase with agentic AI: autonomous systems that perceive, decide, act and learn without constant human oversight, operating independently across distributed environments while collaborating with other agents in real time. This shift from centralized AI models
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