WBBA Debuts AI-Net Certification to Drive Global Intelligent Networks

The initiative addresses the widening gap between traditional infrastructure and the demands of modern AI, which requires vastly superior carrying capacity and scalability. WBBA Director General Martin Creaner noted that the certification serves as a strategic benchmark for countries and operators to transition into an "All-Intelligence" phase, moving beyond simple metrics like bandwidth to evaluate national competitiveness through policy guidance and ecosystem collaboration.

The assessment framework operates on two distinct levels. Macroeconomically, it reviews national policy frameworks and contributions to global standards. At the microeconomic level, it utilizes the IP Network Development Index to measure real-world intelligence and deployment density within operator networks. This dual approach ensures that infrastructure projects are not only technically robust but also strategically aligned with long-term industrial needs.

Core to the certification are two functional pillars: "Network for AI," which optimizes infrastructure for high-throughput, low-latency computing, and "AI for Network," which integrates native intelligence into management platforms to enable self-healing and automated operations. By incorporating end-to-end security and data center interconnections, the WBBA aims to establish a unified global standard that prepares digital foundations for the intelligent demands of 2030.