"AI plus manufacturing" has delivered its quarterly report card. In a recent commentary, Economic Daily noted that the sector stood out in China's first-three-quarter economic data as the most vivid window into new productive forces taking root — not a short-lived hype cycle, but the combined result of policy guidance, scenario pull, industrial foundations and market demand.
1. From Pilot Showcases to Scale
The article highlights three sets of figures: ① AI adoption in key manufacturing scenarios has surpassed one-third of above-scale enterprises, with a batch of high-level smart factories built — AI is turning from an option into standard equipment; ② focusing on 20 key industrial sectors, China has built over 500 high-quality datasets and rolled out 100-plus industrial agents, solidifying the base for scale replication; ③ value-added output of above-scale digital-product manufacturing contributed more than one-third of industrial growth, with ICs and smart production equipment output rising sharply.
Key Facts at a Glance
· Over 1/3: AI adoption rate in key scenarios among above-scale manufacturers
· 92% / 63%: digital-transformation coverage / smart production equipment penetration
· 500+ high-quality datasets and 100+ industrial agents
· Over 1/3: digital-product manufacturing's contribution to industrial growth
2. The Mindset Shift: From Showroom to Blueprint
The primary driver is a change in approach. Smart-manufacturing projects once favored showcase workshops that looked good but resisted replication. The "AI plus manufacturing" special action instead draws distinct construction blueprints for different industries and scenarios, matching AI vendors with manufacturers so technology lands as practical fixes for production pain points — intelligence is no longer an image project for big firms but a replicable industry solution.
The deeper enabler is years of digital groundwork: 92% of above-scale industrial enterprises have completed digital transformation and 63% use smart production equipment, so AI deploys directly onto digitized lines. Under the "model-data resonance" initiative, industrial data is becoming standardized and transferable — fuel for continuous model iteration on the factory floor.
3. Still Climbing, But the Ecosystem Advantage Grows
The commentary also cautions that the sector remains in a climbing phase: SMEs face the "dare not, know not, afford not" dilemma, and data standardization, cross-firm flows and security governance remain hard problems. Meanwhile, China's complete industrial system and supplier networks are sharply compressing the lab-to-line cycle — a structural advantage no single technology can replace.
For AI vendors serving government and enterprise customers, the coordinated breakthrough of smart factories, industrial models and sector datasets is the main battlefield for turning model capability into line productivity. NineZenith's Tianxing model, deployed across industrial manufacturing, rides the same "AI into the workshop" lane. (Compiled from public reports by Economic Daily.)