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An engineer oversees smart manufacturing with digital twin technology. /VCG
An engineer oversees smart manufacturing with digital twin technology. /VCG
Editor's note:Lin G. is a CGTN economic commentator. The article reflects the author's opinions and not necessarily the views of CGTN.
At the latest national services sector conference, a clear and focused policy direction highlighted an under-appreciated growth frontier. By emphasizing the need for producer services to move "up the value chain," the message was clear: China's service economy is entering a new phase defined by technological depth and integration. The policy converges on a core idea—China's next step is not just more services, but the creation of high-end, globally competitive "China Service" brands.
From robotics to an industrial brain: China's smartest factories
The idea of "moving up the value chain" in producer services is often presented in abstract terms. In China, however, it is something you can see, measure, and walk through.
In repeated field visits across large-scale factories in China, a pattern becomes immediately clear. A typical workshop spans thousands of square meters. And yet, across that entire field of machinery, there are remarkably few people—often not even ten.
A digital interface for industrial manufacturing operational control. /VCG
A digital interface for industrial manufacturing operational control. /VCG
But stopping at "automation" would fundamentally miss what is actually happening, because the decisive layer is not the machinery—it is the system controlling it.
What makes these factories function is an intelligence-driven system that connects every node of production, tracks each component in real time, and continuously coordinates the entire process. The machines execute. The system decides.
The real breakthrough is when automation is further pushed into flexibility.
On a single line, more than 200 vehicle models are assembled. Pickups, SUVs, MPVs—different categories, different configurations—move through the same line. And within each vehicle, most components are selectable.
Functional modules, interior layouts—each unit can differ from the next. When these options are multiplied across the system, the total number of possible combinations expands exponentially—reaching, in theoretical terms, into the hundreds of millions.
Standing next to the line, the logic becomes visible. A sequence of components moves forward: the first looks one way, the next entirely different, the one after that different again. Each component is automatically identified. Assembly is executed through real-time recognition and coordination.
What makes this possible is the "industrial brain."And it is this brain that constitutes the highest-value segment of producer services.
Much of the global discourse on artificial intelligence continues to revolve around model rankings and test performance, while China has already embedded these capabilities into production systems.
A smart pallet truck moves toward a stack of goods in front of it in JD.com's Asia No.1 Xi’an Smart Logistics Park, northwestern China's Shaanxi Province, September 25, 2024. /VCG
A smart pallet truck moves toward a stack of goods in front of it in JD.com's Asia No.1 Xi’an Smart Logistics Park, northwestern China's Shaanxi Province, September 25, 2024. /VCG
From internal capability to exportable "China service" solutions
A similar logic is unfolding in logistics, where data and AI are reshaping service delivery at scale.
At JD.com Logistics, highly automated warehouses operate almost entirely without human intervention.
But the real differentiator lies not in robotics or automation—it lies in the intelligent predictive capabilities built on JD.com's massive proprietary data accumulated over years of e-commerce operations, which enable precise, real-time control over logistics and warehouse operations.
These data are commercial secrets and are never shared with external AI models. JD.com develops and trains its own predictive AI models using this internal data, but these models are not publicly released, nor are they ranked or benchmarked in global AI leaderboards. Their value is realized entirely through operational use.
In practice, the system can pre-position inventory across regions before demand materializes, often in ways that even experienced logistics managers cannot predict or explain.
For example, inventory may be shifted toward regions based on early indicators and subtle patterns, such as weather forecasts or loosely related consumption signals, that conventional models would miss. Only after the fact does the rationale become clear.
This predictive intelligence directly supports "next-day delivery"—a core feature of JD.com's e-commerce platform. In concrete terms, a customer placing an order today can have it delivered to their door tomorrow. Achieving this requires precise local warehousing. It also ensures minimum warehouse usage, while allowing product suppliers on the platform to plan production based on JD demand forecasts.
Companies like JD.com do not export their models. However, they are now encouraged to package these systems into integrated service solutions for partners, other warehouses, and international markets. This is the pathway policymakers envision for building the "China Service" brand—transforming internal capabilities into commercially exportable offerings.
A centralized control room for end-to-end manufacturing oversight. /VCG
A centralized control room for end-to-end manufacturing oversight. /VCG
A strategic turning point for China's service sector
Historically, China's service trade has exhibited a structural deficit. Yet behind this apparent gap lies a reality less visible to the outside world: China already possesses advanced capabilities in production-related services. What has been missing is not capability but a systemic habit of packaging and delivering these capabilities as standardized, outward-facing services.
While global attention often focuses on public AI model releases and rankings, many of China's most advanced systems are quietly deployed at scale within real industrial operations. These systems operate silently but effectively, long before they become topics of international attention.
This moment marks a strategic shift. Policymakers are signaling that China's next phase of services sector growth hinges on turning the internal capabilities into recognizable, exportable "China Service" offerings.
This approach positions China not merely as a manufacturer of goods, but as a producer of intelligent, data-driven industrial solutions—capabilities that global observers may only now begin to recognize.
In an era of China's continued rise, for businesses aspiring to maintain global competitiveness, understanding and engaging with these emerging "China Services" will be increasingly essential.
An engineer oversees smart manufacturing with digital twin technology. /VCG
Editor's note: Lin G. is a CGTN economic commentator. The article reflects the author's opinions and not necessarily the views of CGTN.
At the latest national services sector conference, a clear and focused policy direction highlighted an under-appreciated growth frontier. By emphasizing the need for producer services to move "up the value chain," the message was clear: China's service economy is entering a new phase defined by technological depth and integration. The policy converges on a core idea—China's next step is not just more services, but the creation of high-end, globally competitive "China Service" brands.
From robotics to an industrial brain: China's smartest factories
The idea of "moving up the value chain" in producer services is often presented in abstract terms. In China, however, it is something you can see, measure, and walk through.
In repeated field visits across large-scale factories in China, a pattern becomes immediately clear. A typical workshop spans thousands of square meters. And yet, across that entire field of machinery, there are remarkably few people—often not even ten.
A digital interface for industrial manufacturing operational control. /VCG
But stopping at "automation" would fundamentally miss what is actually happening, because the decisive layer is not the machinery—it is the system controlling it.
What makes these factories function is an intelligence-driven system that connects every node of production, tracks each component in real time, and continuously coordinates the entire process. The machines execute. The system decides.
The real breakthrough is when automation is further pushed into flexibility.
At SAIC Maxus's Wuxi plant, the production line produces variability at scale.
On a single line, more than 200 vehicle models are assembled. Pickups, SUVs, MPVs—different categories, different configurations—move through the same line. And within each vehicle, most components are selectable.
Functional modules, interior layouts—each unit can differ from the next. When these options are multiplied across the system, the total number of possible combinations expands exponentially—reaching, in theoretical terms, into the hundreds of millions.
Standing next to the line, the logic becomes visible. A sequence of components moves forward: the first looks one way, the next entirely different, the one after that different again. Each component is automatically identified. Assembly is executed through real-time recognition and coordination.
What makes this possible is the "industrial brain."And it is this brain that constitutes the highest-value segment of producer services.
Much of the global discourse on artificial intelligence continues to revolve around model rankings and test performance, while China has already embedded these capabilities into production systems.
A smart pallet truck moves toward a stack of goods in front of it in JD.com's Asia No.1 Xi’an Smart Logistics Park, northwestern China's Shaanxi Province, September 25, 2024. /VCG
From internal capability to exportable "China service" solutions
A similar logic is unfolding in logistics, where data and AI are reshaping service delivery at scale.
At JD.com Logistics, highly automated warehouses operate almost entirely without human intervention.
But the real differentiator lies not in robotics or automation—it lies in the intelligent predictive capabilities built on JD.com's massive proprietary data accumulated over years of e-commerce operations, which enable precise, real-time control over logistics and warehouse operations.
These data are commercial secrets and are never shared with external AI models. JD.com develops and trains its own predictive AI models using this internal data, but these models are not publicly released, nor are they ranked or benchmarked in global AI leaderboards. Their value is realized entirely through operational use.
In practice, the system can pre-position inventory across regions before demand materializes, often in ways that even experienced logistics managers cannot predict or explain.
For example, inventory may be shifted toward regions based on early indicators and subtle patterns, such as weather forecasts or loosely related consumption signals, that conventional models would miss. Only after the fact does the rationale become clear.
This predictive intelligence directly supports "next-day delivery"—a core feature of JD.com's e-commerce platform. In concrete terms, a customer placing an order today can have it delivered to their door tomorrow. Achieving this requires precise local warehousing. It also ensures minimum warehouse usage, while allowing product suppliers on the platform to plan production based on JD demand forecasts.
Companies like JD.com do not export their models. However, they are now encouraged to package these systems into integrated service solutions for partners, other warehouses, and international markets. This is the pathway policymakers envision for building the "China Service" brand—transforming internal capabilities into commercially exportable offerings.
A centralized control room for end-to-end manufacturing oversight. /VCG
A strategic turning point for China's service sector
Historically, China's service trade has exhibited a structural deficit. Yet behind this apparent gap lies a reality less visible to the outside world: China already possesses advanced capabilities in production-related services. What has been missing is not capability but a systemic habit of packaging and delivering these capabilities as standardized, outward-facing services.
While global attention often focuses on public AI model releases and rankings, many of China's most advanced systems are quietly deployed at scale within real industrial operations. These systems operate silently but effectively, long before they become topics of international attention.
This moment marks a strategic shift. Policymakers are signaling that China's next phase of services sector growth hinges on turning the internal capabilities into recognizable, exportable "China Service" offerings.
This approach positions China not merely as a manufacturer of goods, but as a producer of intelligent, data-driven industrial solutions—capabilities that global observers may only now begin to recognize.
In an era of China's continued rise, for businesses aspiring to maintain global competitiveness, understanding and engaging with these emerging "China Services" will be increasingly essential.