Consider a single, seamless digital route stretching thousands of miles from Chicago, Illinois to Istanbul, Turkey. Historically, managing a network span of that magnitude required navigating a fragmented patchwork of regional operators, layers of complex transponders and inevitable latency bottlenecks.
Today, providers like EXA Infrastructure can offer that journey under a single operational umbrella – a“ one throat to choke” model that exemplifies the sheer physical scale modern data transit demands. Yet, as huge as these global backbones are, they face a fundamental shift with the surge of AI altering how, where and how fast that data must move across the globe.
How AI is changing the network While early AI breakthroughs were defined by centralised data centres training models, the market is pivoting toward localised, real-time application delivery. This move from centralised model training to real-world inferencing is forcing network operators to overhaul their architectures.
“ AI is rapidly changing the shape, scale and speed of connectivity,”
88 October 2026