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The Chinese Ministry of Industry and Information Technology (工業和信息化部近) has issued its "Action Plan for the Integration and Empowerment of Industrial Internet and Artificial Intelligence" 《工業互聯網和人工智能融合賦能行動方案》. It represents a further effort to fulfill the objectives elaborated in the 3rd Plenum's New Era constitution of socialist modernization fueled by and through high quality production and productive forces (see eg here, here, here). Like the United States, the focus is on technology (both States have poured resources--normative and physical) into technological advancement with an international component (eg China here; US here). In the case of China that is directed toward propelling the nation forward along its Socialist Path under the guidance of the vanguard leadership of the Communist Party. In the case of the United States it is directed toward the perfection of its system of iterative transactions defining and defined by its own relentless iterative and self-referencing facticity, a facticity that assumes the three semiotic virtues (in the aggregate) of object (over time), signification (meaning) and interpretation that makes it possible to identify and embrace the original object (fact) as significant in a specific way (eg here).
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"The Action Plan was described in two documents worth studying for English language speakers: (1) 工業互聯網“牽手”人工智能（銳財經）[Industrial Internet Joins Hands with Artificial Intelligence (Sharp Finance)] and (2) 四问+一图，读懂《工业互联网和人工智能融合赋能行动方案》[Four Questions + One Infographic: Understanding the "Action Plan for the Integration and Empowerment of Industrial Internet and Artificial Intelligence"]. Both appear below in the original Chinese and in crude English translation.
工業互聯網“牽手”人工智能（銳財經） describes the four key initiatives of the plan (four "efforts "四“著力”). The first targets infrastructure efficiency (著力提升設施效能，實施基礎底座升級行動). The second focuses on factor supply chains grounded in data rich systems (著力強化要素供給，實施數據模型互通行動). The third turns to the socialization (normalization) of automated integration in economic systems within human centered systems (著力加快普及推廣，實施應用模式煥新行動). The last takes the third initiative up a level toward the management of automated environments within a coordinated industrial ecosystem integration (著力完善發展環境，實施產業生態融通行動). This aligns nicely with the Tech and artificial intelligence guidance of the Americans (see, here, and here) but with Chinese characteristics.
A key element of the Action Plan is coordination by and through the central authorities.
The Action Plan emphasizes strengthening overall coordination for the integration and empowerment of the industrial internet and AI, encouraging local governments to strengthen policy guidance, formulate supporting measures based on local conditions, and form a regional cluster and characteristic path for the integration and empowerment of the industrial internet and AI. [強化對工業互聯網與人工智能融合賦能的統籌協調，鼓勵地方強化政策引導，結合實際制定配套舉措，形成區域集聚、特色路徑的工業互聯網與人工智能融合賦能格局。 ] ( 工業互聯網“牽手”人工智能（銳財經))
Coordination, however, is meant to enhance diffusion. Diffusion is functionally differentiated by industry (在20個重點行業打造一批高質量數據集 [A number of high-quality datasets will be created in 20 key industries.]) while "encouraging local governments to strengthen policy guidance, formulate supporting measures based on local conditions, and form a regional cluster and characteristic path for the integration and empowerment of the industrial internet and AI." [強化對工業互聯網與人工智能融合賦能的統籌協調，鼓勵地方強化政策引導，結合實際制定配套舉措，形成區域集聚、特色路徑的工業互聯網與人工智能融合賦能格局]. throughout the State apparatus. Local governments are also a key element of funding.
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《行动方案》通过实施基础底座升级、数据模型互通、应用模式焕新、产业生态融通四大行动，推动工业互联网和人工智能在更广范围、更深程度、更高水平上释放融合赋能效应。[The Action Plan promotes the integration and empowerment effects of the Industrial Internet and AI on a broader scale, at a deeper level, and at a higher level through four major actions: upgrading the basic infrastructure, interoperability of data models, innovation of application models, and integration of the industrial ecosystem.] (四问+一图，读懂《工业互联网和人工智能融合赋能行动方案》)
These general goals, become more interesting as they are transposed into (still generalized) action items: Infrastructure efficiency targets the existing industrial base including industries that are rapidly becoming legacy producers in terms of their relation to tech. The idea here is to infuse these legacy industries with tech to transform them in ways that "brings them forward" to new levels of efficiency and productivity. The second focuses on the constitution of a malleable, and functionally efficient ecology of data sets that can be used and applied across industrial sectors.
加强工业数据汇聚共享。推进信息模型、标识解析应用，建立全国工业数据目录，加快工业数据可信流通空间建设，推动多源异构工业数据联通共享。加强行业数据集建设支撑。鼓励工业互联网企业、工业数据服务商等联合开展工业数据清洗、标注、合成、评估，推动工业数据分类分级安全管理，打造一批高质量行业数据集。提升工业模型开发部署效率。加快打造一批面向重点行业的工业大模型、开发一批面向应用场景的专用小模型。[Strengthen the aggregation and sharing of industrial data. Promote the application of information models and identifier resolution, establish a national industrial data catalog, accelerate the construction of a trusted industrial data circulation space, and promote the interconnection and sharing of multi-source heterogeneous industrial data. Strengthen support for the construction of industry datasets. Encourage industrial internet enterprises and industrial data service providers to jointly conduct industrial data cleaning, labeling, synthesis, and evaluation, promote the classified and graded security management of industrial data, and create a number of high-quality industry datasets. Improve the efficiency of industrial model development and deployment. Accelerate the development of a number of large industrial models for key industries and develop a number of specialized small models for application scenarios.] (四问+一图，读懂《工业互联网和人工智能融合赋能行动方案》)
The last two are centered on "key enterprises" and then connects this normalization to the State. The idea, perhaps, is to promote a seamless interface between political and economic infrastructures fueled by data and speaking the same language. And the safeguards? The safeguards are built into funding, recruitment and local supervision. "The Action Plan proposes work measures focusing on policy, funding, and talent to provide strong guarantees for the integration and empowerment of industrial internet and AI." [《行动方案》围绕政策、资金、人才等方面提出工作举措，为工业互联网和人工智能融合赋能提供有力保障] (四问+一图，读懂《工业互联网和人工智能融合赋能行动方案》).
The State Council blurb for English language people here
Focusing on Infrastructure, Resource Support, Integrated Applications, and Industrial Ecosystems—Industrial Internet Joins Hands with Artificial Intelligence (Sharp Finance)
Reporter: Liao Ruiling
January 9, 2026, 09:49 | Source: People's Daily Online - People's Daily Overseas Edition
The Ministry of Industry and Information Technology recently issued the "Action Plan for the Integration and Empowerment of Industrial Internet and Artificial Intelligence" (hereinafter referred to as the "Action Plan"), deepening the integration and application of artificial intelligence and the industrial internet, promoting new industrialization in an integrated manner, and contributing to the construction of a manufacturing powerhouse and a cyber powerhouse.
Enhancing the Level of Integration and Empowerment
An official from the Ministry of Industry and Information Technology stated that as a strategic technology leading a new round of technological revolution and industrial transformation, artificial intelligence is being applied to the manufacturing field with unprecedented depth and breadth. The industrial internet, as an important infrastructure for promoting new industrialization, has entered a new stage of high-quality development and large-scale promotion, providing interconnection channels, data resources, and platform hubs for artificial intelligence. At the same time, the new characteristics of artificial intelligence, such as self-generation, self-decision-making, and self-organization, help upgrade industrial internet facilities, optimize capabilities, and innovate services. The mutual promotion and integration of the two will further accelerate the transformation of industrial models and enterprise organizational forms. The Action Plan, focusing on four aspects—infrastructure, resource support, integrated applications, and industrial ecosystem—proposes a significant improvement in the integration and empowerment of the industrial internet and artificial intelligence by 2028.
Regarding infrastructure, the scale of new industrial networks meeting the high-throughput, low-latency, high-reliability, and low-jitter communication needs of AI industrial applications will continue to expand. Deployment and application will be accelerated in key industries such as raw materials, equipment manufacturing, consumer goods, and electronic information, driving at least 50,000 enterprises to implement new industrial network upgrades.
Regarding resource support, the system for industrial data aggregation, governance, circulation, and sharing will be continuously improved, creating a number of high-quality datasets in 20 key industries.
Regarding integrated applications, a number of intelligent solution providers will be cultivated, targeting key links and typical scenarios in key industrial chains, effectively promoting collaborative upgrading of large, medium, and small enterprises.
Regarding the industrial ecosystem, key enterprises, technological products, public services, and other resource elements will be efficiently allocated.
The Action Plan focuses on four key initiatives:
An official from the Ministry of Industry and Information Technology introduced that the Action Plan promotes the integration and empowerment of the Industrial Internet and Artificial Intelligence on a broader scale, at a deeper level, and at a higher level through four major initiatives: upgrading the basic infrastructure, facilitating data model interoperability, revitalizing application models, and integrating the industrial ecosystem.
The first initiative focuses on improving infrastructure efficiency by upgrading the basic infrastructure. This includes accelerating the open and intelligent upgrading of industrial networks, supporting industrial enterprises in promoting the integrated evolution and capability upgrading of industrial network control, network, and computing, and advancing the transformation of key industries into new industrial networks. It also aims to improve the intelligence level of industrial internet platforms by strengthening the connectivity, intelligent analysis, and resource allocation capabilities of industrial internet platforms, exploring the creation of "model pools" based on industrial internet platforms, and forming a number of industrial intelligent body applications for typical scenarios.
The second initiative focuses on strengthening factor supply by facilitating data model interoperability. This includes strengthening the aggregation and sharing of industrial data, promoting the application of information models and identifier resolution, establishing a national industrial data catalog, accelerating the construction of a trusted industrial data circulation space, and promoting the interconnection and sharing of multi-source heterogeneous industrial data. Finally, it aims to strengthen support for the construction of industry datasets. Encourage industrial internet enterprises and industrial data service providers to jointly conduct industrial data cleaning, labeling, synthesis, and evaluation, promote the classified and graded security management of industrial data, and create a number of high-quality industry datasets.
Focus on accelerating popularization and promotion, and implement an action plan to revitalize application models. Promote the transformation of application models. Encourage industrial enterprises to accelerate the transformation of application models such as platform-based design, intelligent production, personalized customization, networked collaboration, service extension, digital management, refined investment and financing, and visualized governance, and improve the intelligence level of R&D design, production and manufacturing, and operation and maintenance management.
Focus on improving the development environment and implementing an action plan for industrial ecosystem integration. Strengthen the cultivation of key enterprises. Encourage industrial internet enterprises and artificial intelligence enterprises to accelerate the creation of a number of solutions with intelligent system integration capabilities, and encourage leading enterprises to incubate a number of industry-level intelligent solution providers. Accelerate technological and product innovation.
Strengthen policy and financial support.
Currently, China is accelerating the construction of the industrial internet. Data previously disclosed by the Ministry of Industry and Information Technology shows that, as of now, China has more than 20,000 "5G + Industrial Internet" projects, officially entering a new stage of large-scale application. China boasts over 300 influential industrial internet platforms, with key platforms connecting over 100 million industrial devices. A self-reliant and controllable industrial internet identifier resolution system has been established.
In artificial intelligence (AI), China has proactively deployed cutting-edge technologies such as AI, opening up new tracks and creating new advantages. Several general-purpose large-scale models have emerged domestically, reaching international advanced levels, with some models achieving accuracy exceeding 95%, and over 100 benchmark application scenarios have been created. In advanced manufacturing, AI, IoT, and big data technologies are empowering traditional manufacturing to move towards intelligent manufacturing.
An official from the Ministry of Industry and Information Technology stated that the Action Plan proposes measures in policy, funding, and talent, providing strong support for the integration and empowerment of the industrial internet and AI.
Strengthening overall coordination. The Action Plan emphasizes strengthening overall coordination for the integration and empowerment of the industrial internet and AI, encouraging local governments to strengthen policy guidance, formulate supporting measures based on local conditions, and form a regional cluster and characteristic path for the integration and empowerment of the industrial internet and AI.
Strengthening financial support. The Action Plan fully utilizes existing funding channels, encourages local governments to establish special funds, and explores diversified and multi-channel investment mechanisms.
Accelerating talent cultivation. Optimize the layout of academic disciplines and majors, promote the construction of industry-education integration practice centers, and carry out training and evaluation for new professions such as industrial internet engineering technicians and artificial intelligence trainers.
Source: People's Daily Overseas Edition
(Editors: Zhang Huwei, Gao Hongxia)
圍繞基礎設施、要素支撐、融合應用、產業生態——
工業互聯網“牽手”人工智能（銳財經）
小字號
工業和信息化部近日印發《工業互聯網和人工智能融合賦能行動方案》（以下簡稱《行動方案》），深化人工智能與工業互聯網融合應用，一體推進新型工業化，助力制造強國與網絡強國建設。
提升融合賦能水平
工業和信息化部有關負責人表示，作為引領新一輪科技革命和產業變革的戰略性技術，人工智能正以前所未有的深度和廣度應用於生產制造領域，工業互聯網作為推進新型工業化的重要基礎設施，已邁入到高質量發展、規模化推廣的新階段，為人工智能提供互聯通道、數據資源、平台中樞。同時，人工智能自生成、自決策、自組織等新特征，助力工業互聯網設施升級、能力優化、服務創新，兩者互促共進、融合賦能，將進一步加快產業模式和企業組織形態變革。
《行動方案》圍繞基礎設施、要素支撐、融合應用、產業生態4個方面，提出到2028年工業互聯網和人工智能融合賦能水平實現顯著提升。
基礎設施方面，滿足人工智能工業應用高通量、低時延、高可靠、低抖動通信需求的新型工業網絡規模持續擴大，在原材料、裝備制造、消費品、電子信息等重點行業工業企業加快部署應用，推動不少於5萬家企業實施新型工業網絡改造升級。
要素支撐方面，工業數據匯聚、治理、流通、共享體系不斷完善，在20個重點行業打造一批高質量數據集。
融合應用方面，面向重點產業鏈關鍵環節、典型場景，培育一批智能化解決方案供應商，有效推動大中小企業協同升級。
產業生態方面，重點企業、技術產品、公共服務等要素資源實現高效配置。
重點布局4大行動
工業和信息化部有關負責人介紹，《行動方案》通過實施基礎底座升級、數據模型互通、應用模式煥新、產業生態融通4大行動，推動工業互聯網和人工智能在更廣范圍、更深程度、更高水平上釋放融合賦能效應。
著力提升設施效能，實施基礎底座升級行動。加快工業網絡開放智能升級。支持工業企業推動工業網絡控網算一體化演進和能力升級，推進重點行業開展新型工業網絡改造。提高工業互聯網平台智能化水平。強化工業互聯網平台要素連接、智能分析、資源配置能力，探索依托工業互聯網平台打造“模型池”，形成一批面向典型場景的工業智能體應用。
著力強化要素供給，實施數據模型互通行動。加強工業數據匯聚共享。推進信息模型、標識解析應用，建立全國工業數據目錄，加快工業數據可信流通空間建設，推動多源異構工業數據聯通共享。加強行業數據集建設支撐。鼓勵工業互聯網企業、工業數據服務商等聯合開展工業數據清洗、標注、合成、評估，推動工業數據分類分級安全管理，打造一批高質量行業數據集。
著力加快普及推廣，實施應用模式煥新行動。推進應用模式變革。鼓勵工業企業加快平台化設計、智能化生產、個性化定制、網絡化協同、服務化延伸、數字化管理、精細化投融、可視化治理等應用模式變革，提升研發設計、生產制造、運維管理等環節智能化水平。
著力完善發展環境，實施產業生態融通行動。強化重點企業培育。鼓勵工業互聯網企業、人工智能企業等加快打造一批具備智能系統集成能力的解決方案，鼓勵龍頭企業孵化一批行業級智能化解決方案供應商。加快技術產品創新。
強化政策、資金保障
眼下，中國正加速工業互聯網建設。工業和信息化部此前披露的數據顯示，截至目前，我國“5G+工業互聯網”建設項目已超過2萬個，正式步入規模化應用新階段。我國具有一定影響力的工業互聯網平台超過300家，重點平台工業設備連接數超億台﹔建成了自主可控的工業互聯網標識解析體系。
人工智能方面，我國超前布局人工智能等前沿技術，開辟新賽道塑造新優勢。國內涌現出多個達到國際先進水平的通用大模型，部分模型准確率突破95%，打造百余個標杆應用場景。在先進制造領域，人工智能、物聯網、大數據技術等賦能傳統制造向智能制造邁進。
工業和信息化部有關負責人表示，《行動方案》圍繞政策、資金、人才等方面提出工作舉措，為工業互聯網和人工智能融合賦能提供有力保障。
加強統籌協調。強化對工業互聯網與人工智能融合賦能的統籌協調，鼓勵地方強化政策引導，結合實際制定配套舉措，形成區域集聚、特色路徑的工業互聯網與人工智能融合賦能格局。
強化資金支持。充分利用現有資金渠道，鼓勵地方設立專項資金，探索建立多元化、多渠道投入機制。
加快人才培養。優化學科專業布局，推動產教融合實踐中心建設，開展工業互聯網工程技術人員、人工智能訓練師等新職業培訓和評價。
來源：人民日報海外版
Recently, the Ministry of Industry and Information Technology (MIIT) issued the "Action Plan for the Integration and Empowerment of Industrial Internet and Artificial Intelligence" (MIIT Office Document No. 76 [2025], hereinafter referred to as the "Action Plan"). To better understand and implement the "Action Plan," the following interpretations are provided:
I. What is the background to the issuance of the "Action Plan"?
General Secretary Xi Jinping has given important instructions on the development of the industrial internet on multiple occasions, pointing out the need to "deeply implement the innovation and development strategy of the industrial internet." At the same time, he has made a series of key deployments regarding the development of artificial intelligence, emphasizing the need to "comprehensively promote artificial intelligence technological innovation, industrial development, and empowerment applications." The "Suggestions of the CPC Central Committee on Formulating the 15th Five-Year Plan for National Economic and Social Development" made clear deployments, proposing to "implement the industrial internet innovation and development project" and "comprehensively implement the 'Artificial Intelligence+' action." The Central Economic Work Conference emphasized "deepening and expanding 'Artificial Intelligence+'." The State Council issued the "Opinions on Deepening the Implementation of the 'Artificial Intelligence+' Action," proposing to "deepen the integration and application of artificial intelligence and the industrial internet."
As a strategic technology leading a new round of technological revolution and industrial transformation, artificial intelligence (AI) is being applied to the manufacturing sector with unprecedented depth and breadth. The Industrial Internet, as a crucial infrastructure for promoting new industrialization, has entered a new stage of high-quality development and large-scale promotion, providing AI with interconnection channels, data resources, and platform hubs. Simultaneously, the new characteristics of AI, such as self-generation, self-decision-making, and self-organization, facilitate the upgrading of Industrial Internet infrastructure, optimization of capabilities, and service innovation. The two mutually promote and empower each other, further accelerating the transformation of industrial models and enterprise organizational forms.
To thoroughly implement the decisions and deployments of the CPC Central Committee and the State Council regarding the development of the Industrial Internet and artificial intelligence, deepen the integrated application of AI and the Industrial Internet, promote new industrialization in an integrated manner, and contribute to the construction of a manufacturing powerhouse and a cyber powerhouse, we have formulated the "Action Plan."
II. What are the overall goals of the "Action Plan"?
The "Action Plan" focuses on four aspects: infrastructure, factor support, integrated application, and industrial ecosystem, proposing that by 2028, the level of integration and empowerment of the Industrial Internet and artificial intelligence will be significantly improved.
In terms of infrastructure, the scale of new industrial networks meeting the high-throughput, low-latency, high-reliability, and low-jitter communication needs of AI industrial applications continues to expand. Deployment and application are being accelerated in key industries such as raw materials, equipment manufacturing, consumer goods, and electronic information, driving at least 50,000 enterprises to implement new industrial network upgrades. Regarding factor support, the system for industrial data aggregation, governance, circulation, and sharing is continuously improving, creating a number of high-quality datasets in 20 key industries. In terms of integrated applications, a number of intelligent solution providers are being cultivated for key links and typical scenarios in key industrial chains, effectively promoting collaborative upgrading of large, medium, and small enterprises. Regarding the industrial ecosystem, key enterprise, technology product, and public service resources are being efficiently allocated.
III. What are the key tasks deployed in the Action Plan?
The Action Plan promotes the integration and empowerment effects of the Industrial Internet and AI on a broader scale, at a deeper level, and at a higher level through four major actions: upgrading the basic infrastructure, interoperability of data models, innovation of application models, and integration of the industrial ecosystem.
Focusing on improving facility efficiency, the basic infrastructure upgrade action is being implemented. The open and intelligent upgrade of industrial networks is being accelerated. Support industrial enterprises in promoting the integrated evolution and capability upgrade of industrial network control, network, and computing, and advance the transformation of key industries into new industrial networks. Improve the intelligence level of industrial internet platforms. Strengthen the capabilities of industrial internet platforms in element connection, intelligent analysis, and resource allocation; explore the creation of "model pools" based on industrial internet platforms; and develop a number of industrial intelligent agent applications for typical scenarios. Strengthen the supply of industrial intelligent computing power. Encourage public computing power service providers to provide services to industrial enterprises, accelerate the deployment of intelligent gateways and other equipment, promote the intelligent upgrading of edge devices, and improve the supply capacity and utilization efficiency of industrial intelligent computing.
Focus on strengthening the supply of elements and implement data model interoperability initiatives. Strengthen the aggregation and sharing of industrial data. Promote the application of information models and identifier resolution, establish a national industrial data catalog, accelerate the construction of a trusted industrial data circulation space, and promote the interconnection and sharing of multi-source heterogeneous industrial data. Strengthen support for the construction of industry datasets. Encourage industrial internet enterprises, industrial data service providers, and others to jointly conduct industrial data cleaning, labeling, synthesis, and evaluation; promote the classified and graded security management of industrial data; and create a number of high-quality industry datasets. Improve the efficiency of industrial model development and deployment. Accelerate the development of a number of large industrial models for key industries and develop a number of specialized small models for application scenarios. Encourage industrial internet platform enterprises to explore and develop interconnection interfaces for industrial models, optimizing the collaborative efficiency between large and small models.
Focus on accelerating popularization and promotion, and implement an action plan to revitalize application models. Promote the transformation of application models. Encourage industrial enterprises to accelerate the transformation of application models such as platform-based design, intelligent production, personalized customization, networked collaboration, service extension, digital management, refined investment and financing, and visualized governance, improving the intelligence level of R&D design, production and manufacturing, and operation and maintenance management. Accelerate promotion in key industries. Implement the "chain-network collaboration" project for industrial internet and key industrial chains, compiling, publishing, updating, and promoting a series of integrated application reference guidelines in key industries such as steel, aviation, power, petrochemicals, and pharmaceuticals. Accelerate scenario cultivation and openness, establish a solution resource pool, select typical cases such as industrial internet "chain-network collaboration," and promote the integrated application of industrial internet and artificial intelligence in key industries and key industrial chains.
Focus on improving the development environment and implement an action plan for industrial ecosystem integration. Strengthen the cultivation of key enterprises. Encourage industrial internet enterprises and artificial intelligence enterprises to accelerate the creation of a number of solutions with intelligent system integration capabilities, and encourage leading enterprises to incubate a number of industry-level intelligent solution providers. Accelerate technological and product innovation. The Action Plan encourages AI companies, industrial internet companies, and industrial control companies to jointly promote the intelligent upgrading of industrial communication chips, industrial sensors, and industrial control systems, and strengthens the connection between industrial internet and AI standards systems. It also optimizes public service capabilities, promotes the construction of public service platforms such as industry datasets and industrial model evaluation, supports the development of open-source projects and communities, and conducts activities such as the "Hundred Cities, Thousand Parks" initiative to promote integrated industrial internet development in industrial parks, while increasing publicity and promotion of typical application cases and excellent solutions.
IV. In which aspects does the Action Plan propose safeguard measures?
The Action Plan proposes work measures focusing on policy, funding, and talent to provide strong guarantees for the integration and empowerment of industrial internet and AI.
Strengthening overall coordination: It strengthens the overall coordination of the integration and empowerment of industrial internet and AI, encourages local governments to strengthen policy guidance, formulate supporting measures based on actual conditions, and form a regional cluster and characteristic path for the integration and empowerment of industrial internet and AI. Strengthening financial support: It makes full use of existing funding channels, encourages local governments to establish special funds, and explores the establishment of diversified and multi-channel investment mechanisms to support the R&D and promotion of key technology products. Accelerating talent cultivation. Optimize the layout of academic disciplines and majors, promote the construction of industry-education integration practice centers, and carry out training and evaluation for new professions such as industrial internet engineering technicians and artificial intelligence trainers.
近日，工业和信息化部印发《工业互联网和人工智能融合赋能行动方案》（工信厅信管〔2025〕76号，简称《行动方案》）。为更好理解和实施《行动方案》，现就有关内容解读如下：
一、《行动方案》的出台背景是什么？
习近平总书记多次对发展工业互联网作出重要指示，指出“深入实施工业互联网创新发展战略”，同时，围绕人工智能发展作出系列重点部署，强调“全面推进人工智能科技创新、产业发展和赋能应用”。《中共中央关于制定国民经济和社会发展第十五个五年规划的建议》作出明确部署，提出“实施工业互联网创新发展工程”“全面实施‘人工智能+’行动”。中央经济工作会议强调，“深化拓展‘人工智能+’”。国务院出台《关于深入实施“人工智能+”行动的意见》，提出“深化人工智能与工业互联网融合应用”。
作为引领新一轮科技革命和产业变革的战略性技术，人工智能正以前所未有的深度和广度应用于生产制造领域，工业互联网作为推进新型工业化的重要基础设施，已迈入到高质量发展、规模化推广的新阶段，为人工智能提供互联通道、数据资源、平台中枢。同时，人工智能自生成、自决策、自组织等新特征，助力工业互联网设施升级、能力优化、服务创新，两者互促共进、融合赋能，将进一步加快产业模式和企业组织形态变革。
为深入贯彻落实党中央、国务院关于发展工业互联网、人工智能的决策部署，深化人工智能与工业互联网融合应用，一体推进新型工业化，助力制造强国与网络强国建设，我们研究出台了《行动方案》。
二、《行动方案》的总体目标是什么？
《行动方案》围绕基础设施、要素支撑、融合应用、产业生态四个方面，提出到2028年工业互联网和人工智能融合赋能水平实现显著提升。
基础设施方面，满足人工智能工业应用高通量、低时延、高可靠、低抖动通信需求的新型工业网络规模持续扩大，在原材料、装备制造、消费品、电子信息等重点行业工业企业加快部署应用，推动不少于50000家企业实施新型工业网络改造升级。要素支撑方面，工业数据汇聚、治理、流通、共享体系不断完善，在20个重点行业打造一批高质量数据集。融合应用方面，面向重点产业链关键环节、典型场景，培育一批智能化解决方案供应商，有效推动大中小企业协同升级。产业生态方面，重点企业、技术产品、公共服务等要素资源实现高效配置。
三、《行动方案》部署了哪些重点任务？
《行动方案》通过实施基础底座升级、数据模型互通、应用模式焕新、产业生态融通四大行动，推动工业互联网和人工智能在更广范围、更深程度、更高水平上释放融合赋能效应。
着力提升设施效能，实施基础底座升级行动。加快工业网络开放智能升级。支持工业企业推动工业网络控网算一体化演进和能力升级，推进重点行业开展新型工业网络改造。提高工业互联网平台智能化水平。强化工业互联网平台要素连接、智能分析、资源配置能力，探索依托工业互联网平台打造“模型池”，形成一批面向典型场景的工业智能体应用。强化工业智能算力供给。鼓励公共算力服务商向工业企业提供服务，加快智能网关等设备部署，推动端侧设备智能化升级，提升工业智算供给能力和利用效率。
着力强化要素供给，实施数据模型互通行动。加强工业数据汇聚共享。推进信息模型、标识解析应用，建立全国工业数据目录，加快工业数据可信流通空间建设，推动多源异构工业数据联通共享。加强行业数据集建设支撑。鼓励工业互联网企业、工业数据服务商等联合开展工业数据清洗、标注、合成、评估，推动工业数据分类分级安全管理，打造一批高质量行业数据集。提升工业模型开发部署效率。加快打造一批面向重点行业的工业大模型、开发一批面向应用场景的专用小模型。鼓励工业互联网平台企业探索开发工业模型互联接口，优化大模型与小模型间协同效率。
着力加快普及推广，实施应用模式焕新行动。推进应用模式变革。鼓励工业企业加快平台化设计、智能化生产、个性化定制、网络化协同、服务化延伸、数字化管理、精细化投融、可视化治理等应用模式变革，提升研发设计、生产制造、运维管理等环节智能化水平。加快重点行业推广。实施工业互联网与重点产业链“链网协同”工程，在钢铁、航空、电力、石化化工、医药等重点行业编制、发布、更新、推广一批融合应用参考指南。加快场景培育与开放，建立解决方案资源池，遴选工业互联网“链网协同”等典型案例，促进工业互联网和人工智能在重点行业、重点产业链融合应用。
着力完善发展环境，实施产业生态融通行动。强化重点企业培育。鼓励工业互联网企业、人工智能企业等加快打造一批具备智能系统集成能力的解决方案，鼓励龙头企业孵化一批行业级智能化解决方案供应商。加快技术产品创新。鼓励人工智能企业、工业互联网企业、工控企业联合推进工业通信芯片、工业传感器、工业控制系统等智能化升级，加强工业互联网与人工智能标准体系衔接。优化公共服务能力。推动行业数据集、工业模型评测等公共服务平台建设，支持建设开源项目和开源社区，开展工业互联网一体化进园区“百城千园行”等活动，加大对典型应用案例、优秀解决方案的宣传推广力度。
四、《行动方案》在哪几方面提出保障举措？
《行动方案》围绕政策、资金、人才等方面提出工作举措，为工业互联网和人工智能融合赋能提供有力保障。
加强统筹协调。强化对工业互联网与人工智能融合赋能的统筹协调，鼓励地方强化政策引导，结合实际制定配套举措，形成区域集聚、特色路径的工业互联网与人工智能融合赋能格局。强化资金支持。充分利用现有资金渠道，鼓励地方设立专项资金，探索建立多元化、多渠道投入机制，支持关键技术产品研发推广。加快人才培养。优化学科专业布局，推动产教融合实践中心建设，开展工业互联网工程技术人员、人工智能训练师等新职业培训和评价。
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