Computing Power Reshapes Manufacturing: How the Intelligent Transformation of Chinese Factories Rewrites Global Industry Rules

Computing Power Reshapes Manufacturing: How Chinese Factories' Smart Transformation Rewrites Global Industry Rules

When a television moves along the assembly line at TCL's Huizhou factory, 3D vision and AI-driven robotic systems connect signal interfaces with micron-level precision, pushing product yield rates to 99.8%. At the same moment, at Foshan Haitian Flavouring and Food Company, an AI vision system identifies over 13,000 soybeans per second and selects the best fermentation batches from more than 170 aroma profiles. In Dongguan's Mobao Intelligent Digital Workshop, electrodes of various shapes flow precisely between automated shelves and injection molding machines—these scenes are not isolated technology experiments, but rather a microcosm of China's manufacturing shift from "scale-driven" to "computing-power-driven."

1. From Automation to Intelligence: Three Major Transitions Inside the Factory

China has maintained its position as the world's largest manufacturing nation for 16 consecutive years, but its vast traditional manufacturing base is facing pressure to upgrade. Over the past decade, the spread of automation solved the problem of "replacing workers with machines"; today, computing power is solving the problem of "how machines can make smarter decisions."

TCL's smart display factory is a typical example. Its intelligent factory system not only connects production equipment but also aggregates procurement, inventory, and quality data in real time, forming a "digital twin" production line. When anomalies occur, the system can automatically adjust process parameters rather than relying on engineer experience. Chen Zhanyuan, Deputy General Manager of TCL Industries' Smart Display Business Unit, said: "Factories are becoming more connected, data-driven, and flexible." The core driver of this change lies in the deep integration of AI algorithms with industrial processes, enabling production systems to continuously learn from massive real-world data, improving accuracy and adaptive capabilities.

2. Computing Power Infrastructure: The Invisible Foundation of Smart Manufacturing

The realization of the above scenarios relies on computing power. Real-time data collected by the Industrial Internet must be transformed into decisions through computing resources—whether it's optimizing production scheduling, predicting equipment failures, or AI quality inspection. China's computing power scale already ranks among the top globally, with AI computing power growing particularly rapidly; falling costs have allowed small and medium-sized enterprises to deploy AI algorithms.

In Jiangmen, the local Industrial Technology Research Institute collaborated with Sun Yat-sen University to establish a branch of the National Supercomputing Center, directly providing supercomputing resources to small and medium-sized manufacturing enterprises. Dong Yinghu, Deputy Director of Jiangmen Science and Technology Bureau, said: "We encourage and support the extension of computing power to SMEs; public clouds and intelligent computing platforms can lower adoption costs." This model breaks the monopoly of large enterprises over advanced manufacturing technology, allowing regional industrial clusters to also enjoy the convenience of "computing power as a service."

3. Industry Chain Linkage: Comprehensive Upgrades from Equipment to Components

The diffusion of smart manufacturing is moving upstream.The diffusion of smart manufacturing is propagating upstream. CanSemi in Guangzhou regards industrial intelligence as a new market opportunity — its chips themselves are carriers of computing power, while the vast amount of data generated during chip manufacturing can in turn be used to optimize factory operations. Guangdong Fenghua, a supplier of high-end MLCCs (multilayer ceramic capacitors), has introduced an AI-assisted R&D system and high-throughput laboratory to accelerate the iteration of new materials. Cao Xiuhua, Vice President of the company, pointed out: "The next step is to connect the full value chain data from demand, R&D to production and delivery."

Yizumi, a manufacturer of molding equipment, is another observation window. Since starting its digital transformation in 2018, its intelligent injection molding machines and large die-casting machines have been used in the production of components such as motors, batteries, and dashboards for new energy vehicles. In 2025, Yizumi launched its first AI-powered die-casting machine, which can automatically adjust process parameters based on detected defects. Chief Technology Officer Zhou Jun admitted: "When we first built the smart factory, we did not anticipate that computing power would develop so rapidly. Now we are adjusting our technology roadmap to fully utilize the opportunity presented by computing power."

4. Guangdong-Hong Kong-Macao Greater Bay Area: An Integrated Testbed for Smart Manufacturing

As the largest manufacturing province in China, Guangdong hosts a diverse range of industries including electronics, home appliances, food, molds, and equipment. The Guangdong-Hong Kong-Macao Greater Bay Area is also one of the country's major computing power hubs, providing fertile ground for the integration of "computing power + manufacturing."

Take Foshan as an example. The ancient craft of soy sauce brewing by Haitian Flavouring and Food Company has now been given a digital life by AI: intelligent filling systems ensure packaging precision, and AI flavor analysis technology can identify over 170 aroma components. This model of "traditional craftsmanship + intelligent upgrade" is being replicated in Guangdong's traditional advantageous industries such as food, textiles, and ceramics.

5. Industrial Impact and Global Implications

International financial technical analyst Daryl Guppy commented that Chinese factories are undergoing a "silent revolution in the workshop," with an upgrade speed that is remarkable, and China is becoming the "smart factory of the future." The long-term impact of this transformation lies in:

• Enhanced supply chain resilience: Flexible production enables factories to quickly respond to order changes, reducing dependence on large-volume standardized production.
• Upgraded export structure: "New quality productive forces" products such as intelligent equipment, industrial software, and AI solutions will gradually replace the export status of low value-added manufactured goods.
• Ecosystem restructuring: Enterprises that master computing power and data will occupy higher value-added links in the industrial chain, while small and medium-sized enterprises can participate in competition through shared computing platforms.

Of course, challenges still exist: the adaptation of algorithms to specific processes requires extensive industry know-how, data silos have not yet been fully broken, and high-end industrial software still partially relies on imports. However, as the 15th Five-Year Plan emphasizes, intelligentization, digitalization, and networking are core priority directions for manufacturing, and the resonance of policy support and market forces is accelerating this process.When computing power becomes a new factor of production, China's manufacturing is no longer just the "world's factory," but is evolving into a complex ecosystem driven by data, iterated by AI, and empowered by computing power. The effectiveness of this transformation will determine the competitive landscape of global manufacturing over the next decade.