--- title: "“AI Plus”: China's Plan to Put the Technology Into Every Industry, Not Just Every Demo" date: 2026-09-03 category: Policy & Governance site: NeuroAI canonical: https://neuroai.site/a/na-ai-plus-action language: en --- # “AI Plus”: China's Plan to Put the Technology Into Every Industry, Not Just Every Demo > The “AI+” initiative is not a research programme. It is an adoption programme with dated targets — and it is the single most under-covered story in Chinese technology. Most national AI strategies are about building models. China's current one is about installing them. On **30 July 2026**, the Political Bureau of the CPC Central Committee, setting economic priorities for the second half of the year, called for **deep implementation of the “AI+” (人工智能+) action**, the development of a new form of "intelligent economy", and improvement of the AI governance system. The phrasing matters. "AI+" is not a funding call for laboratories. It is a directive to embed AI into existing industries — manufacturing, agriculture, healthcare, transport, governance — with measurable adoption targets. ## Key takeaways - **Top-level directive:** the July 2026 Politburo meeting explicitly ordered deep implementation of the "AI+" action, alongside building an "intelligent economy" and improving AI governance. - **2027 target:** the action sets penetration targets for AI adoption across key economic sectors by 2027, with 70% figures cited for priority areas in policy reporting. - **Industrial base:** as of June 2026, China had more than **6,600 AI companies**, about 15% of the global total, spanning base infrastructure, model frameworks and industry applications. - **Factory programme:** the Ministry of Industry and Information Technology reports **15 "navigator-level" smart factories**, 500+ "excellent-level", and **8,200+ "advanced-level"** smart factories. - **Planning frame:** the 2026 government work report proposed "building a new form of intelligent economy" for the first time; the 15th Five-Year Plan outline calls for cultivating "intelligence-native" business models. ## Why "AI+" is structurally different There is a familiar pattern in technology policy: fund research, publish papers, hope for spillover. China's approach inverts it. The state identifies high-value scenarios, requires large state enterprises to open them, and then measures deployment. The clearest example is the state-owned enterprise programme. At WAIC 2026, the State-owned Assets Supervision and Administration Commission released a **second batch of 60 high-value AI scenarios and 70 industry datasets** from central state enterprises. These are not speculative: - China Baowu: an "AI furnace operator" for steel converter smelting, and an "AI chief operator" for continuous annealing lines. - State Grid: intelligent inspection and control of distributed solar, and virtual power plant aggregation. - China Southern Power Grid: a power meteorology large model. - Sinopec and CNPC: AI-assisted lubricant R&D and intelligent injection-production optimisation for offshore fields. - CRRC and China Railway Construction: rail vehicle health management and intelligent rail route selection. Alongside this, the commission launched an open-source AI community (version 2.0) and a joint "intelligent software factory" engineering programme. The mechanism is deliberate: **open the scenario, supply the dataset, let vendors compete inside it.** ## The honest problem it is solving Chinese policy researchers describe the gap with unusual bluntness. Alongside the achievements, official analysis lists unresolved constraints: original and disruptive innovation capacity remains insufficient; **high-end chips, core algorithms and basic software remain chokepoints**; mismatched supply of high-end compute; poor circulation of data as a production factor; and a shortage of cross-disciplinary talent. "AI+" is the response to a specific diagnosis — that China has strong deployment capability and weaker original innovation, so policy should lean into the former while the latter is addressed. That is a rational strategy, and it has a visible cost: adoption metrics can outrun genuine productivity gains. A factory that installs an AI quality-inspection system and keeps the old manual check alongside it has "adopted AI" without transforming anything. ## What to watch The measurable question is not how many models China produces. It is whether the 8,200 advanced-level smart factories translate into measurable productivity growth, and whether the 130 state-enterprise scenarios produce reusable products or one-off pilots. The early signs in reported cases are genuinely strong — production changeover cut from hours to minutes, clinical R&D cycles compressed by 40%, inspection labour down by thousands of hours a year. Whether that scales beyond showcase plants is the story of the next three years. *Sources: Xinhua and CAC reporting on the July 2026 Politburo meeting; SASAC releases at WAIC 2026; MIIT smart factory disclosures.* --- Published by NeuroAI (https://neuroai.site/) — https://neuroai.site/a/na-ai-plus-action Free to quote with attribution and a link to the original.