WBBA Launches AI-Net Certification to Benchmark Global Network Intelligence

The certification arrives as the global economy pivots toward artificial intelligence, rendering traditional metrics like bandwidth and coverage insufficient for measuring modern national competitiveness. WBBA Director General Martin Creaner positions the framework as a tool to accelerate the adoption of Net5.5G, focusing on national policy guidance, the cultivation of industry ecosystems, and the penetration rate of advanced network technologies.

AI-Net operates on two fundamental principles: "Network for AI" and "AI for Network." The former treats infrastructure as the bedrock for computing power, ensuring deterministic performance through high throughput and ultra-low latency, which are essential for large-scale model training. The latter integrates native intelligence into management platforms, enabling self-healing systems and automated operations that reduce maintenance burdens for global operators.

Assessment criteria span both macroeconomic policy frameworks and microeconomic benchmarks, such as the IP Network Development Index. By evaluating end-to-end digital foundations—including data center networks and security systems—the WBBA intends to create a unified global standard. This initiative aims to bridge the digital divide while providing policymakers and operators with a quantifiable roadmap for developing the intelligent, secure networks required for the next decade.