Beijing has unveiled a strategic blueprint to overhaul its telecommunications infrastructure, shifting the focus from basic connectivity to the specialized requirements of artificial intelligence. The Ministry of Industry and Information Technology (MIIT) recently released its 2026–2028 implementation plan for the 'AI + Information and Communication' initiative, signaling a massive state-led effort to ensure that China’s digital 'plumbing' can keep pace with the voracious data demands of next-generation models.
The policy identifies the traditional network bottleneck as a primary obstacle to AI scalability. To address this, the MIIT is mandating the rapid deployment of 5G-Advanced (5G-A) and advanced fiber-optic technologies like Optical Transport Networks (OTN). These upgrades are specifically designed to meet the high-bandwidth and ultra-low-latency needs of 'embodied intelligence'—a category including robotics and autonomous systems that require real-time processing to function safely and effectively.
Central to this strategy is the optimization of 'computing power corridors.' The government aims to achieve a network resource utilization rate of at least 90% for distributed inference tasks across wide-area networks. By implementing technologies such as segment routing (SRv6) and fine-grain optical transport (fgOTN), Beijing intends to offer on-demand bandwidth adjustments, allowing enterprises to toggle their connectivity based on the intensity of their AI training or inference workloads.
Beyond hardware, the MIIT is pushing for an integrated ecosystem that merges 'computing, data, models, and applications.' This vertical integration is intended to accelerate the penetration of domestic AI technologies into critical industries. By creating a standardized development environment from training to commercialization, China is attempting to bypass Western dominance in AI software by building a robust, sovereign infrastructure that favors local players and integrated hardware-software stacks.