CPC Politburo Plans Computing Network and Other New Infrastructure to Drive Consumption Upgrade

Politburo Meeting Sets the Tone: Unlocking Domestic Demand Potential, Ramping Up New Infrastructure

On April 28, the CPC Central Committee Politburo held a meeting to analyze and study the current economic situation and economic work. The meeting explicitly proposed deeply tapping domestic demand potential, expanding the supply of quality goods and services, promoting consumption upgrades, and incorporating digital infrastructure such as computing power networks and next-generation communication networks into key planning and construction priorities. This signal has injected strong policy momentum into the AI industry and digital economy development.

Six Major Network Infrastructure Projects Advance in Tandem, Computing Power Network Takes Center Stage

The meeting specifically noted the need to strengthen the planning and construction of water networks, new-type power grids, computing power networks, next-generation communication networks, urban underground pipeline networks, and logistics networks, and to push forward the launch of major engineering projects where conditions are ripe.

Notably, the "computing power network" has been explicitly included in the national-level infrastructure construction list, placed alongside traditional infrastructure such as water and power grids, highlighting the central position of computing infrastructure in the national strategy. Against the backdrop of increasingly fierce global AI competition, computing power — as the "foundation" of AI development — has risen to an unprecedented level of strategic importance.

Meanwhile, the mention of "next-generation communication networks" has also drawn industry attention. The accelerated deployment of 5G-A and even 6G networks will provide higher-speed, lower-latency network support for the large-scale implementation of AI applications, with particular significance in scenarios such as autonomous driving, industrial internet, and telemedicine.

Service Sector Expansion and Quality Enhancement Open New Opportunities for AI Applications

The meeting emphasized the need to "deeply implement the action plan for expanding capacity and improving quality in the service sector," opening vast possibilities for the deep penetration of AI technology into services. Currently, AI technologies represented by large language models are reshaping the landscape of service industries including retail, finance, healthcare, and education. From intelligent customer service to personalized recommendations, from AI-assisted diagnostics to smart logistics scheduling, AI-driven service upgrades have become a key engine for enhancing the consumer experience.

Under the policy direction of "expanding the supply of quality goods and services," AI companies are expected to gain more policy support and market space. Particularly in the fields of smart hardware, AI software services, and data element circulation, the coordinated efforts on both supply and demand sides will accelerate industry maturation.

Policy Signals Released, Entire AI Industry Chain Set to Benefit

From an industry chain perspective, the signals released by this Politburo meeting will benefit multiple segments:

• Upstream computing layer: Construction of computing infrastructure including GPU chips, servers, and data centers will continue to accelerate, and domestic computing chip manufacturers are expected to see larger-scale order growth.
• Midstream platform layer: Cloud computing service providers and large model platform companies will benefit from the interconnectivity of computing power networks, reducing AI training and inference costs.
• Downstream application layer: Smart demand driven by consumption upgrades will accelerate the implementation of AI applications across more vertical industries.

Outlook: Digital Infrastructure and Consumption Upgrades Form a Positive Feedback Loop

This Politburo meeting has tightly linked digital infrastructure such as computing power networks with the consumption upgrade strategy, sending a clear policy direction — using new infrastructure construction as a foundation, driving consumption growth through quality supply, and ultimately forming a positive cycle of "infrastructure investment — technological progress — consumption upgrade — economic growth."

For the AI industry, this top-level national design is undoubtedly a major positive development. As the planning and construction of computing power networks advances and the digital transformation of the service sector deepens, China's AI industry is poised to achieve simultaneous breakthroughs across three dimensions — infrastructure, technological innovation, and application deployment — injecting new variables into the global AI competitive landscape.