…Qapqal Xibe Autonomous County held a special training session on DeepSeek Localized Service Capability Training… to thoroughly implement the national Digital China strategy…
Guan Hanyu, “Qapqal Xibe Autonomous County Holds Special Training Session on ‘DeepSeek Localized Service Capability Training: Empowering Government Affairs and Serving the People’s Livelihood,'” China.com, March 12, 2025
Milestone Summary
What happened:
A county-level government in Xinjiang conducted formal training on deploying the DeepSeek large language model to support government services, social governance, and “People’s Livelihood” functions.
Why it matters:
This marks the operational integration of large language models into China’s Party-state governance system at the grassroots level.
Strategic function:
Extends Digital China from national architecture into local administrative execution, embedding AI directly into governance processes.
Systemic impact:
Accelerates the transformation of AI from a technological capability into a component of state infrastructure, integrated across public services, governance, and social management.
Long-term signal:
China is incorporating artificial intelligence into the machinery of governance itself. This suggests a future in which national power is increasingly determined by the ability to operationalize intelligent systems at scale.
The Development
In March 2025, Qapqal Xibe Autonomous County in Xinjiang, located along China’s border with Kazakhstan, held a formal training session on the localized deployment of DeepSeek, a Chinese-developed large language model. The stated purpose was explicit: to support implementation of the national Digital China strategy and associated regional work plans.
Participants were trained on applying AI tools to government services, public administration, social governance, and “People’s Livelihood” domains, including healthcare, education, employment, and housing. The session emphasized improving administrative efficiency, optimizing service delivery, and advancing digital transformation at the county level.
The training was delivered by an artificial intelligence R&D expert from China Unicom, underscoring the role of state-owned technology firms in deploying AI capabilities within government systems. In closing remarks, a senior county Party official urged participants to seize the “policy dividends” of Digital China and accelerate the adoption of AI tools, invoking a now-standard governance principle: “The people should run less errands and run more data.”
On its face, this appears to be a routine local training session. In reality, it reveals something far more significant.
From Technology to Governance Infrastructure
This development signals a transition in how artificial intelligence is being positioned within China’s strategic system. DeepSeek is not being introduced as a standalone productivity tool or experimental application. It is being embedded directly into the operational workflows of the Party-state, across administrative processes, public service delivery, and grassroots governance functions.
This distinction is critical. It marks the shift from viewing large language models as technological innovations to treating them as components of governance infrastructure. In this context, AI is no longer confined to research labs or commercial platforms. It is becoming part of the institutional machinery through which the state exercises administrative capacity, delivers services, and manages society.
Digital China Reaches the Grassroots
The location of this deployment is as important as the technology itself. Xinjiang has long served as a testing ground for new models of digital governance, particularly in areas related to social management and public security. The extension of AI-enabled governance tools into a county-level system in this region suggests that Digital China is no longer operating primarily at the level of national architecture or major urban pilots. Instead, it is being systematically extended downward into the “last mile” of governance.
This reflects a broader pattern in China’s digital strategy: the integration of advanced technologies into a vertically integrated system that connects central policy design with local implementation. The Qapqal training session demonstrates that this integration now includes large language models as operational tools within that system.
System Competition: From Models to Systems
This development also carries implications beyond China. Much of the global discourse on artificial intelligence remains focused on model performance: benchmarks, capabilities, and competition between leading firms. China’s approach, as reflected in this milestone, suggests a different axis of competition. The central question is not only who builds the most advanced models, but who can integrate those models into functioning, large-scale systems.
In China’s case, the answer increasingly lies in the ability to embed AI within a state-coordinated architecture that links data, computing power, platforms, and governance institutions into a unified system. This approach transforms AI from a discrete technology into a multiplier of state capacity.