According to Dean Fernandes, CTO of ��������, a leading provider of AI technology solutions in North America, the shift to AI has radically redefined infrastructure demands: “Much of today’s critical infrastructure was built for a world of predictable traffic, centralized data, and systems operated primarily by people. AI breaks every one of those assumptions.”

“AI workloads are data-intensive, latency-sensitive, and always on,” Fernandes said. “They generate massive east–west traffic across clouds, data centers, edge locations, and endpoints. When that level of demand is placed on aging networks and fragmented IT environments, the result is inevitable: scalability limits, reliability gaps and increased security exposure.”