Computing power reshapes Chinese factories: the leap from automation to cognitive manufacturing.

From "Human-Wave Tactics" to "Computing-Driven": The Restructuring of China's Factory Floor

On TCL's TV assembly line in Huizhou, a robot equipped with 3D vision and artificial intelligence completes signal port connections with a 99.8% yield rate—a process once reliant on manual labor, now taken over by algorithms. This scene is not an isolated case, but a microcosm of a quiet revolution unfolding deep within China's manufacturing sector.

Having ranked as the world's largest manufacturing country for sixteen consecutive years, China is facing a bottleneck in its transition from quantity to quality. The traditional advantage of low-cost labor is fading, replaced by a new production factor centered on computing power. In Guangdong, a manufacturing hub, companies have begun embedding AI, industrial internet, and supercomputing into the entire production chain, marking China's manufacturing leap from "automation" to "cognition."

Smart Factories: Data-Driven Production Flexibility

Chen Zhanyuan, Deputy General Manager of TCL's Smart Display Business Division, pointed out that in the past, production management relied on worker experience and fragmented systems, making it difficult to respond quickly to anomalies. Now, through intelligent manufacturing systems, factories have achieved end-to-end data connectivity and dynamic decision-making. This change is particularly evident in the digital workshop of Dongguan Dongjiang Mould: AGV robots precisely transport electrodes of different shapes, greatly improving the precision and stability of mold processing.

"Molds are the mother of industry," admitted Wang Sheng, Vice President of Dongjiang Mould. "The diversification and accelerated iteration of consumer electronics require manufacturers to have higher precision, stability, and flexibility." Smart factories, through real-time data collection and AI algorithms, transform production experience into reusable digital capabilities.

Computing Power Foundation: AI Computing Becomes the New Infrastructure for Industrial Upgrades

Behind these factories lies an increasingly large computing infrastructure. Industrial internet systems generate massive amounts of real-time data, and computing resources turn this data into decisions—from process parameter optimization to AI quality inspection. China's computing power scale is already among the top in the world, with AI computing becoming the main driver of growth. The decline in computing costs has enabled small and medium-sized enterprises to deploy AI algorithms, accelerating the adoption of smart manufacturing.

"The deeper algorithms are integrated into actual industrial processes, and the more widespread automated production lines become, the more the system can continuously learn from vast amounts of production data, improving accuracy, stability, and scenario adaptability," added Wang.

From Electronics to Seasonings: AI Empowers the Depth of Traditional Industries

The wave of smart manufacturing has not stopped at high-tech industries. In the soy sauce factory of Foshan Haitian Flavoring, an AI vision system identifies over 13,000 soybeans per second, an intelligent filling system achieves extremely high precision packaging, and another AI technology can distinguish more than 170 aroma and flavor profiles—pushing centuries-old brewing traditions into the digital age.

Upstream companies like Guangzhou Yuexin Semiconductor and Guangdong Fenghua Advanced Technology are also leveraging AI to accelerate R&D and production. Cao Xiuhua, Vice President of Fenghua Advanced Technology, stated: "The next step is to achieve full value chain data connectivity from demand and R&D to delivery."

Regional Computing Power Ecosystem: The Greater Bay Area Becomes a Testbed for Smart ManufacturingAs a major computing hub in China, the Guangdong-Hong Kong-Macao Greater Bay Area is becoming a testing ground for the integration of computing power and manufacturing. In Jiangmen, the local Industrial Technology Research Institute collaborates with Sun Yat-sen University to establish a branch of the National Supercomputing Center, directly serving small and medium-sized manufacturers with supercomputing resources. Dong Yinghu, Deputy Director of the Jiangmen Science and Technology Bureau, pointed out: "We encourage and support the expansion of computing resources to small and medium-sized enterprises. Public clouds and intelligent computing platforms help lower adoption costs."

Two-way Iteration of Equipment and Technology

As an advanced molding equipment manufacturer, Yizumi has initiated its digital transformation since 2018. Its intelligent injection molding machines and large die-casting machines are used by new energy vehicle companies to produce components such as motors, batteries, dashboards, etc. In 2025, the company launched the first AI die-casting machine, which can automatically adjust process parameters based on detected defects. Chief Technology Officer Zhou Jun exclaimed: "When we started building the smart factory, we did not anticipate that computing power would develop so rapidly. Now we will adjust our technology roadmap to better leverage the opportunities brought by computing power."

Conclusion: The Next Competitive Dimension of Made in China

International financial analyst Daryl Guppy commented that the upgrade of Chinese factories is carrying out a "silent revolution in the workshop" at an astonishing pace, and China is becoming the "smart factory of the future." For the global supply chain, understanding this transformation means reassessing the source of competitiveness of Made in China—no longer cheap labor, but a new manufacturing paradigm constructed by data, algorithms, and computing capabilities.

When the manufacturing process becomes computable, predictable, and optimizable, Chinese factories not only improve their own efficiency but also redefine the entry barriers of global manufacturing.