To promote the deepening and implementation of the "Artificial Intelligence+Manufacturing" action, cultivate a group of industrial intelligent agents, use industrial intelligent agents as a starting point to deepen the industrial application of artificial intelligence, and support a group of enterprises to carry out intelligent agent pilot construction... Recently, relevant departments have launched a series of deployments around deepening the "Artificial Intelligence+Manufacturing" and developing industrial intelligent agents. At the same time, industry enterprises are actively promoting the innovation and application of industrial intelligent agent technology, further promoting the deep integration of artificial intelligence technology and manufacturing industry. Currently, industrial intelligent agents are becoming an important focus for improving the level of industrial intelligence. The Implementation Plan for Accelerating the Development of "AI+Manufacturing" in Shanghai, released on August 19th, proposes multiple deployments such as enhancing the basic capabilities of industrial models and breaking through cutting-edge technologies in industrial intelligence. Not only are local authorities actively promoting it, but the deployment of departments and ministries is also in full swing. The recently held symposium of responsible officials from the national industrial and information technology authorities in 2025 clarified the deployment of work priorities for the second half of the year, promoting the deepening and implementation of the "artificial intelligence+manufacturing" action, strengthening the research and development of the foundation, and applying it in key scenarios. Deepen the application of industrial Internet by classification, and cultivate a batch of industrial agents. The recent meeting of the Leading Group for the Integration of Industry and Information Technology held by the Ministry of Industry and Information Technology clearly stated that industrial intelligent agents should be used as the starting point to deepen the application of artificial intelligence in industry, and drive the innovation and iteration of industrial datasets and industrial large-scale models. In addition, the recently released 2025 work points for the integration of information technology and industrialization by the Ministry of Industry and Information Technology also propose to encourage the research and development and promotion of industrial intelligent agents for typical scenarios, support a group of enterprises to carry out intelligent agent pilot construction, and enhance the level of industrial full process intelligence. In the eyes of industry insiders, industrial intelligent agents are the key carrier for the implementation of "artificial intelligence+manufacturing" and play an important role in promoting the development of intelligent manufacturing. Zou Debao, executive vice general manager of CCID Consulting's AI and Big Data Research Center, told reporters that industrial agent is a new type of intelligent, autonomous and collaborative industrial system platform integrating AI, big data, cloud computing, edge computing and other new generation information technologies. Its characteristics lie in its high degree of autonomy and intelligent decision-making ability, as well as its collaborative and networked capabilities. For example, multiple industrial intelligent agents can communicate, negotiate, and collaborate with each other in the same system or at different levels to jointly complete complex tasks such as workshop cross production line scheduling and resource allocation optimization, "said Zou Debao. In promoting 'artificial intelligence+manufacturing', industrial intelligent agents can innovate research and development design, promote production autonomy, enhance supply chain resilience, upgrade enterprise management, and help industries reduce costs and increase efficiency through full chain optimization. ”Bi Ran, Chief Architect of Platform Business Department at China Telecom Artificial Intelligence Technology (Beijing) Co., Ltd., said. At present, many enterprises are accelerating the research and development of related basic and cutting-edge technologies, targeting typical scenarios, and accelerating the industrial intelligent agents to move towards the front line of the industry. For example, in the steel industry, Baidu has transformed "experience steelmaking" into "AI steelmaking" through steel industry intelligent agents. The consumption of steel materials in the converter smelting process accounts for more than 83% of the total steel consumption. Usually, the converter process relies on the experience of workers to visually recognize and 'calculate' the temperature of the flame, determine whether to add or add oxygen, and how much to add. The application of artificial intelligence technology provides the possibility to shorten the steelmaking time. "Guo Yan, the relevant person in charge of Baidu, told reporters that by feeding the experience data of workers to the intelligent agent and training it, the intelligent agent can directly provide feeding reminders and the amount of feeding, and workers can 'operate with one click' according to the prompts. In the textile industry, China Telecom recently launched the "Star Textile Intelligent Agent". It is reported that this intelligent agent applies AI algorithms to the knitting production process, achieving "edge weaving and edge inspection" and "error correction" in seconds, improving production efficiency by 20%. In the field of ship design, China Unicom Intelligence has built three intelligent agents: "standardized Q&A, mold flipping design, and software system design". In the production design stage, the mold flipping design intelligent agent can automatically recognize the graphic structure, assist in the conversion from 2D to 3D, and compress the modeling cycle. According to analysis by Intime Securities, leading companies are currently increasing their focus on "industry+AI" to promote the deep coupling of technologies such as large models and intelligent agents with industry experience, driving the advancement of industrial intelligence. With the application of more intelligent agents, it is expected that by 2028, the AI expenditure of Chinese industrial enterprises will reach 90 billion yuan. Industrial intelligent agents are on the eve of widespread application from laboratories to smart factories. ”Zou Debao believes that in terms of technology, breakthroughs in embodied intelligence, edge computing, and simulation platforms have promoted the leap of independent decision-making ability; In terms of industry, China has advantages in technological innovation and scenario innovation. At the same time, the development of industrial intelligent agents needs to take data integration, technology adaptation, and commercial closed-loop as the core breakthrough points. Among them, it is necessary to accelerate the construction of datasets, break through data bottlenecks, and rely on platform based toolchains to reduce the application costs of small and medium-sized enterprises. Bi Ran stated that from an industry perspective, the promotion of industrial intelligence is not a breakthrough in a single link, but still requires multidimensional deep linkage such as technology, industry, and talent, and systematic layout and promotion. (New Society)