AI has quickly become the defining force reshaping telecoms.
It is influencing how networks are run, how customers are served, and how operators think about future growth. While AI is often seen as intensifying network demands, it is in fact shining a light on a more familiar challenge: legacy infrastructure that is already strained, fragmented and in some cases past end-of-life.
That distinction matters. A network built on decades-old systems cannot be made resilient simply by layering in more intelligence.
In fact, if operators rush into “AI-first” strategies without first addressing the condition of their core infrastructure, they risk exposing weaknesses rather than solving them.
Recent large-scale service disruptions have made this risk tangible, reinforcing that service reliability remains the industry’s most critical measure of performance.
