AI Plays a Central Role in China’s New Five-Year Plan
China is placing artificial intelligence at the center of its economic policy framework. That this is not merely the integration of a buzzword can be gleaned from what Reuters reported on March 5 regarding the new Chinese five-year plan: The 141-page blueprint mentions AI more than 50 times and establishes a broad-based “AI Plus” program designed to carry the technology across the entire economy—from manufacturing to logistics.
16 Mar 2026Share
China is realigning its industrial policy. Artificial intelligence is not merely intended to accelerate innovation or generate digital business models. In the country’s key economic provinces, AI will explicitly be used as a lever to make factories more productive, manage supply chains more intelligently, and reignite manufacturing growth. According to Reuters, this is particularly evident in Guangdong and Jiangsu. Both provinces treat AI not as a supplement to industrial policy, but as its new core.
It’s about modernizing entire industrial ecosystems
For European managers, this development could pose a major challenge. Guangdong and Jiangsu are among China’s strongest economic regions; both are deeply integrated into global supply chains and both represent the country’s industrial heartland. Anyone who wants to understand how competition in mechanical engineering, the automotive industry, electronics, or industrial automation is changing should look at what is being driven politically there. Because this is not about individual pilot projects, nor is it about spectacular AI demos. It is about the modernization of entire industrial ecosystems.
Guangdong: AI as a Lever for the Next Stage of Factory Development
Guangdong, China’s largest provincial economy, has articulated its strategic direction with particular clarity. Reuters reports that over the next five years, the province intends to make AI-driven industrial upgrading a central lever of its economic development. At the same time, Guangdong is focusing on expanding computing infrastructure, accelerating the commercialization of AI, and prioritizing strategic sectors such as semiconductors, robotics, and drone technology. The message is clear: China aims not only to digitize its industrial base but also to elevate it to a new technological level.
More political emphasis than in Europe
This is also relevant because Guangdong is not a marginal phenomenon, but one of the world’s most important manufacturing hubs. The province plays a key role in electronics, mechanical engineering, automotive technology, and consumer goods. If AI is systematically integrated with production processes there, efficiency gains will arise not only in individual plants but along entire value chains. Quality control, predictive maintenance, material flow, production planning, and energy use are thus no longer treated as isolated IT issues, but as part of a new industrial performance architecture. This logic may seem familiar to many European manufacturers, but in China it is now being pursued with significantly greater political urgency.
China is strategically integrating AI into existing industrial strengths
Added to this is the technological infrastructure. Reuters points to Shenzhen, Guangdong’s high-tech metropolis, where high-tech industries already accounted for 43 percent of gross domestic product in 2025. This is remarkable because the AI push here is meeting an already dense network of industry, electronics, software, and capital. In other words: China is not just building an AI economy from scratch, but is strategically integrating AI into existing industrial strengths. This significantly accelerates the pace of implementation.
Jiangsu: Broad-based development of industrial AI
Jiangsu, China’s second-largest provincial economy, is pursuing a similar approach, though with a stronger focus on scaling and application. There, AI is also explicitly viewed as a driver of technology-based expansion. Reuters reports on more than 1,500 AI companies, the country’s second-highest computing capacity, 66 large AI models, and 283 registered algorithms. Even more important than these figures are the concrete implementation plans: Jiangsu aims to integrate AI more deeply into transportation, logistics, and manufacturing, citing 50 pilot applications in infrastructure and logistics as well as 186 smart production lines in sectors including the automotive industry and environmental technologies.
China is increasingly treating AI as a foundational industrial technology
This is precisely where the real significance lies. In China, AI is increasingly being treated as a foundational industrial technology, comparable to automation, electrification, or network infrastructure. It is no longer merely a question of whether companies identify an AI use case somewhere. It is about whether an industrial location is capable of combining data, computing power, models, sensor technology, machines, and processes into a productive integrated system. Jiangsu provides a practical example of this: moving away from an abstract vision of the future toward broad integration into real-world value creation.
The strategy comes from Beijing
The strategic framework for this is set centrally. According to Reuters, China’s 15th Five-Year Plan for 2026 to 2030 broadly embeds the “AI Plus” approach into economic development. The blueprint for further development mentions AI more than 50 times and aims to boost productivity in sectors such as manufacturing, healthcare, and education. The fact that provinces like Guangdong and Jiangsu are now translating this guideline so aggressively into their industrial agendas likely signals that this is not merely symbolic technology policy, but a coordinated restructuring of industry, infrastructure, and competitiveness.
The frame of reference is shifting
For European industry, this is uncomfortable news. Until now, many companies have viewed AI primarily as a digitalization project in individual functions, such as sales, service, or administration. But when Chinese provinces integrate AI into their manufacturing base on the scale of entire industrial ecosystems, the frame of reference shifts. Then it is no longer just companies competing against companies, but industrial systems competing against industrial systems. Productivity, time-to-market, flexibility, and the speed of innovation will then increasingly depend on how deeply AI is embedded in real value creation. This development is not theoretical, but politically driven and operationally supported. The real lesson for European decision-makers is therefore not the simple realization that China “is also betting on AI,” but that China is embedding AI into its industrial core and using provinces like Guangdong and Jiangsu as leverage for this. Anyone planning procurement, production, investments, or location strategies should not view this as a distant future issue. It is a signal that the industrial competitive landscape could shift further.
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