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China Launches First National Policy for Traditional Industries - AI to Convert Craft Knowledge Into Industrial Data

Sep 7, 2026

4 minute read.

Highlights

  • China's MIIT unveiled its first national policy targeting traditional industries like ceramics, tea, and silk, with 2028 and 2030 modernization targets.
  • The policy proposes converting tacit worker knowledge—process parameters, formulations, and techniques—into reusable AI-driven data assets and industrial knowledge graphs.
  • By 2030, China aims to develop world-class companies and move traditional industries toward the upper reaches of the global value chain.
  • Though rare earths are not covered, the model has direct implications: China could institutionalize the process expertise that makes rare earth separation and magnet manufacturing productive.
  • The West may be rebuilding rare earth industrial capacity while China works on digitizing the accumulated experience that makes that capacity competitive.

China has unveiled its first national-level industrial policy specifically targeting historically significant traditional industries, setting 2028 and 2030 goals for sectors including traditional Chinese medicine, ceramics, silk, tea, brewing, and traditional crafts. The initiative goes well beyond cultural preservation. Beijing wants these industries to become higher-end, smarter, greener, and more internationally competitive, using artificial intelligence, advanced manufacturing, standardization, and stronger brands.

Six Chinese government officials seated at podium before blue State Council Information Office PRC banner with reporters and

By 2028, China targets 50 enterprises with annual revenue of RMB 10 billion or more, 100 nationally recognized consumer brands, and multiple RMB 100 billion industry clusters. By 2030, it aims to develop world-class companies and brands and move these industries toward the middle and upper reaches of the global value chain.

REEx Insight — China Wants to Turn Know-How Into Data

For REEx, the most consequential element isn't tea or ceramics. It is Beijing's proposed method for converting accumulated human know-how into scalable industrial intelligence.

China's Ministry of Industry and Information Technology (MIIT) describes the AI strategy as “data-driven, model-supported and scenario-deployed.” The government wants knowledge still residing in workers' experience—such as process parameters, formulations, operating techniques, and fault diagnosis—systematically collected, standardized, and converted into reusable data assets. AI models and industrial knowledge graphs could then help decode that knowledge and improve process consistency.

Rare earths are not covered by this policy. But the model deserves Western attention.

Rare-earth separation, metallization, alloying, and magnet manufacturing depend heavily on accumulated process knowledge. The West can finance new plants, but rebuilding decades of operator experience is much harder. If China increasingly learns to capture tacit industrial knowledge digitally, an advantage historically residing in individual engineers and operators could become institutionalized, transferable, and potentially AI-enhanced.

That changes the competitive equation. The West may be rebuilding industrial capacity while China works on digitizing the experience that makes capacity productive.

From Craftsman to Algorithm

Beijing specifically proposes creating regional “industrial brains,” digitizing knowledge such as ceramic glaze formulations and process parameters, and using AI to build process knowledge graphs.

Officials envision “future factories” with dynamic production control, online quality traceability, and flexible intelligent scheduling. Examples include AI vision systems grading tea and algorithms dynamically adjusting kiln temperatures to reduce ceramic defects. The industries covered are already substantial: Beijing estimates approximately 25,000 large-scale enterprises, nearly 3.5 million workers, and RMB 8 trillion in annual revenue.

REEx Connect

Organization / ContactRoleREEx Relevance
Ministry of Industry and Information Technology (MIIT)Lead industrial ministryAI, digitization and industrial modernization
Xie YuanshengVice Minister, MIITPresented policy and AI strategy
Feng HaicangMIIT Consumer Goods Industry DepartmentIndustrial and brand-development policy
State Administration for Market RegulationStandards and quality authorityStandardization and quality modernization
Wei HongDirector-General, Standards Innovation DepartmentStandards strategy
Ministry of CommerceNational commerce ministryDistribution, brands and international markets
Zhang XiangMinistry of Commerce officialMarket-development strategy
Ministry of Culture and TourismCultural and heritage authorityTraditional skills and commercialization
Shan GangxinDirector-General, Intangible Cultural Heritage DepartmentHeritage and workforce development

Source Transparency: This news item is based on an official Chinese government press conference and government/state-media materials. Policy targets, statistics and claimed outcomes should be independently verified. REEx's analysis—particularly the potential implications for rare-earth and critical-material manufacturing—is an independent interpretation and is not stated in the underlying policy.

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By Daniel

Inspired to launch Rare Earth Exchanges in part due to his lifelong passion for geology and mineralogy, and patriotism, to ensure America and free market economies develop their own rare earth and critical mineral supply chains.

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China's first national policy for traditional industries uses AI to convert craft knowledge into industrial data, with major implications for rare earth (read full article...)

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