Beyond Silicon Valley: How Chongqing, Gansu, and Inner Mongolia Are Powering China’s Next AI Leap
- Professor Matt Crump

- Jun 30
- 5 min read

As the global race for digital supremacy intensifies, China is executing one of the most ambitious digital transformation blueprints in modern history. With the unveiling of its national plan to create a unified computing power network and a comprehensive action strategy to develop “Digital China” by 2025, the country is signaling a structural shift in how computing, data, and artificial intelligence (AI) will define future economic and geopolitical advantage.
From Fragmentation to Integration: The Vision of a Unified Computing Power Network
On May 30, 2025, China’s Ministry of Industry and Information Technology announced its vision for a nationwide computing power network. The strategy focuses on making public computing power universally accessible, regardless of provider, hardware configuration, or geographic location.
At its core, the initiative is designed to eliminate siloed infrastructure and unify disparate computing resources—public and private, local and national—into an interoperable grid. By 2026, the government aims to:
Establish standardized protocols, unique identifiers, and cross-system interoperability rules.
Deploy high-speed data transfer technologies across national backbones to optimize data flow.
Develop national, regional, and industry-specific platforms to facilitate real-time resource allocation.
By 2028, China envisions a fully operational digital infrastructure akin to an electrical grid, where users can “plug in” to computing power seamlessly based on real-time demand. This dynamic system will intelligently allocate computing resources for AI, manufacturing, healthcare, remote education, autonomous vehicles, and more.
AI+ and the Rise of China’s Intelligent Industrial Stack
One of the boldest pillars of China’s 2025 Digital Action Plan is the “AI+” strategy, aimed at embedding artificial intelligence capabilities across every industrial vertical. Rather than treating AI as a standalone industry, China’s approach positions AI as a utility layer across smart manufacturing, connected health, logistics, agriculture, and government services.
Key priorities under AI+ include:
Advancing intelligent manufacturing with AI-enabled robotics, predictive maintenance, and autonomous quality control.
Expanding smart mobility through intelligent electric vehicles, traffic optimization, and AI navigation systems.
Enhancing the intelligence of consumer electronics, including smartphones, wearables, and edge devices.
Facilitating intelligent public services, including virtual government assistants and real-time healthcare diagnostics.
This initiative is supported by the strategic deployment of high-performance computing (HPC) clusters, edge AI networks, and the development of premium AI datasets sourced from national sectors like finance, agriculture, and healthcare. The high interdependency between the computing grid and AI+ initiatives exemplifies China’s systemic, end-to-end approach to digital intelligence.
"East Data, West Computing": Geo-Strategic Distribution of Digital Capacity
To balance regional inequalities in digital development and optimize power consumption, China is accelerating its “East Data, West Computing” initiative—an infrastructure mega-project that repositions computing centers to less developed, resource-rich western regions while allowing data generation to remain concentrated in the eastern urban hubs.
Key dimensions of this initiative include:
Establishing eight national computing hubs and ten national data center clusters in regions such as Inner Mongolia, Guizhou, and Gansu.
Upgrading fiber-optic connectivity and energy-efficient infrastructure to facilitate high-speed east-west data transmission.
Reducing urban energy load while taking advantage of cheap land, renewable energy, and favorable climates in western provinces.
This project enables real-time AI model training, low-latency rendering for cloud gaming, and scalable storage for national surveillance and industrial IoT systems—while adhering to green computing imperatives.
Economic Impact: Toward a 300+ EFLOPS National Computing Backbone
By the end of 2025, China’s digital economy aims to achieve the following benchmarks:
Metric | Target by 2025 |
Core digital economy industries as % of GDP | >10% |
Total computing power | >300 EFLOPS |
Digital industry revenue Q1 2025 | 8.5 trillion yuan (~$1.18 trillion) |
Year-on-year digital industry growth | 9.4% |
These figures reflect China’s unprecedented focus on digital infrastructure as a central growth driver. The 300 EFLOPS goal—equivalent to 300 quintillion floating-point operations per second—places China on par with global HPC leaders. It also enables real-time AI training, quantum computing research, and simulation-driven design in industries from defense to pharmaceuticals.
Institutional and Governance Infrastructure for Digital Sovereignty
While technological expansion is a focus, China’s digital transformation also emphasizes governance, transparency, and institutional maturity. The 2025 Action Plan includes:
Innovation in digital systems and mechanisms to unify central-local coordination.
Standardized data classification, security, and exchange frameworks.
Development of a unified national data market with well-defined value chains and ownership rights.
This includes managing public data assets under a centralized platform, enabling tokenization or monetization models, and creating compliance frameworks to support data-driven private enterprise. At the local level, cities and provinces are encouraged to build branded digital economies that cater to their strengths—whether in logistics, biotech, or fintech.
Talent Pipeline and Digital Workforce Scaling
Recognizing that digital transformation requires human capital, the Action Plan introduces extensive programs to nurture digital talent. These include:
Digital education partnerships between universities and industries.
Nationwide digital skills competitions and innovation challenges.
Migration pathways for top-tier digital professionals into strategic regions.
The plan envisions a digitally fluent workforce embedded across public and private sectors—engineers, data scientists, cybersecurity experts, and AI ethicists.
Public Services and Cultural Digitization
Beyond economic and technical domains, China’s digital plan extends into societal integration:
Government digitization includes streamlined e-governance, automated licensing, and digital ID systems.
Cultural digitization involves the archival, rendering, and AI enhancement of national heritage, including literature, art, and ancient texts.
Integration of public services on unified platforms allows citizens to access healthcare, education, and administrative support through intelligent interfaces.
These initiatives aim to create a frictionless citizen experience and reinforce digital trust in government systems.
Comparative Global Outlook: A New Digital Model of Development
China’s digital infrastructure initiative reflects a long-term model that integrates compute, AI, and data within a centralized, coordinated ecosystem. Unlike decentralized Western models that prioritize platform capitalism, China’s state-led approach focuses on resource orchestration, industrial clustering, and strategic coordination.
The expected outcome is not only economic productivity but geopolitical leverage—especially in sectors like AI manufacturing, 6G development, and defense simulation. However, challenges remain in cybersecurity, interoperability with international standards, and ethical oversight of AI systems at scale.
Strategic Signals from a Digital Superpower
China’s unified computing power network and Digital China 2025 Action Plan are not just technological initiatives—they are strategic instruments that will redefine productivity, innovation, and digital sovereignty.
As the world races toward AI-driven economies, China’s model offers a centralized blueprint that may serve as a template for other developing nations seeking to leapfrog traditional industrial stages. Whether this model sustains its agility and inclusivity remains to be seen, but its direction is clear: to transform compute, data, and intelligence into sovereign infrastructure assets.
For those analyzing the future of digital geopolitics, these developments are critical inflection points worth monitoring closely.
To stay updated on these seismic shifts in global digital infrastructure and AI evolution, follow insights from Dr. Shahid Masood, the research team at 1950.ai, and other pioneers decoding the world's transition into the intelligent era.
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