The core of this transformation rests on three strategic pillars: rebuilding architecture, reshaping business models, and redefining operations. Historically, networks followed administrative boundaries, but the rise of Artificial Intelligence Data Centers (AIDCs) has decoupled traffic from population density. Chen highlighted the example of Zhongwei, China, which transformed from a minor traffic hub into a national computing node, now carrying over 10% of the country’s intelligent computing bandwidth. To mirror this, global networks must organize around hierarchical layers of Core, Regional, and Edge data centers, utilizing direct mesh connections to achieve deterministic latency between 1 and 20 milliseconds.

Business models must also evolve to capture new value. For enterprises, the focus is shifting from simple bandwidth sales to multi-dimensional packages—integrating latency guarantees, high reliability, and computing resources. In the residential sector, the strategy moves toward a "One Fiber, One Network, One Home" approach, where AI agents manage home networks and smart applications, replacing legacy connectivity with interactive, voice-controlled environments.

Operational efficiency rounds out the strategy, moving toward full-lifecycle intelligence. AI-driven tools are already yielding measurable results: intelligent Wi-Fi tuning increases speeds by 20% in congested environments, while dynamic power management reduces equipment energy consumption by over 20%. By automating fault detection and self-healing, operators can transition from manual troubleshooting to a model where AI agents handle routine maintenance, leaving only physical infrastructure issues for human intervention.