Cultivate a group of key industry intelligent agents and intelligent native enterprises, release a list of requirements for intelligent agent application scenarios, and accelerate the cultivation of industrial intelligent agent platforms... In recent times, relevant departments and localities have actively deployed and accelerated the layout and development of the intelligent agent industry for industry applications. At the same time, enterprises are actively promoting the transition of intelligent agents from single point pilot to large-scale implementation, with manufacturing, finance, government affairs, healthcare, energy and other fields becoming key focus areas for layout. Experts believe that as an important form of iteration and practical application of artificial intelligence (AI) technology, intelligent agents are entering a stage of rapid development. The industry predicts that by the end of the 15th Five Year Plan, the penetration rate of new generation intelligent terminals, intelligent agents and other applications in China will exceed 90%, and the digital economy will accelerate towards intelligence. In recent days, multiple departments have been intensively deploying key tasks for 2026, with intelligent agents becoming one of the policy focuses. The National Conference on Industry and Information Technology proposed to promote the special action of "artificial intelligence+manufacturing" and cultivate a group of key industry intelligent agents and intelligent native enterprises. The National Data Administration has also proposed to lay out a batch of data standards in cutting-edge directions such as intelligent agents and embodied intelligence by 2026. Many places are also taking active actions. For example, on the first working day after the New Year holiday, Changzhou, Jiangsu held the 2026 National Intelligent Agent Developer Conference and released a list of requirements for intelligent agent application scenarios, covering industries, healthcare, urban governance, and other fields. Industry insiders say that intelligent agents are moving from technological exploration to deep cultivation of scenarios, and their application scope continues to extend to the core business scenarios of the industry, becoming an important force in promoting social production transformation. For example, scenarios such as predictive maintenance in the manufacturing industry, real-time risk control in the financial industry, and precise diagnosis in the medical field have demonstrated the scale value of intelligent agents. "In 2026, enterprises' demand for AI has been upgraded from 'single point question and answer' to 'end-to-end task execution', and a single model is not competent for complex business processes. Therefore, intelligent agents will further move from technology validation to large-scale commercial applications. ”According to Bai Runxuan, an analyst at the AI and Big Data Research Center of CCID Consulting. Anchoring key areas, many enterprises are also accelerating the promotion of intelligent agents to the forefront of the industry. On January 12th, Zhipu announced a strategic cooperation with Didi, and the two sides will conduct forward-looking collaborative exploration around key technologies of General Artificial Intelligence (AGI) and its intelligent agent applications in the transportation field. In addition, in the field of automotive research and development, automotive design technology company Alt has collaborated deeply with Baidu's Valor intelligent agent to shorten the simulation verification of automotive wind resistance, which takes up to 10 hours per simulation, to the minute level. In the non-ferrous metal smelting industry, Beijing Zhongguancun Kejin Technology Co., Ltd. will deepen intelligent agents in core areas such as production process optimization and energy consumption management, to help enterprises achieve energy conservation and consumption reduction. Li Annan, the person in charge of Baidu Pharmaron, stated that intelligent agents have been first applied in "high-value and clearly evaluated" fields such as transportation, logistics, industrial manufacturing, energy, and scientific research. "The data accumulation in these fields is rich, and the cost reduction and efficiency improvement results brought by intelligent agent applications are more direct and significant." It is reported that more than 2000 companies have applied for trial use of Baidu Pharmaron intelligent agents. The "Outlook for the Development of China's Artificial Intelligence Industry in 2026" released by the China Academy of Electronic Information Industry Development Research shows that by 2026, the ecosystem of the intelligent agent industry will accelerate its maturity, and industry enterprises will continue to increase their efforts in the application of intelligent agents, gradually expanding the application scenarios in various fields. IDC also predicts that by 2026, 50% of China's top 500 data teams will use intelligent agents to achieve data preparation and analysis. This is expected to further unleash opportunities for the development of the industrial chain. Bai Runxuan believes that upstream heterogeneous chips for edge inference, high-quality small sample training data services, midstream industry intelligent agent development platforms, and downstream intelligent agent operation and governance services are all expected to usher in favorable development prospects. However, the interviewees also stated that overall, whether it is dedicated or universal, To B or To C, intelligent agents are still in the early stages of development. In the past, big model competitions focused on model parameters, but now the emphasis is on business understanding, organizational collaboration, and engineering implementation. ”Yu Youping, President of Beijing Zhongguancun Kejin Technology Co., Ltd., stated that the successful implementation of enterprise level intelligent agents is not achieved overnight. It involves complex computing power, models, data, applications, and integration, and it is difficult for a single vendor to cover all aspects. Therefore, it is necessary for the industry to work together to create an open ecosystem of "super connectivity". At the same time, we also need to promote the integration of technology and standards, overcome key technologies such as "illusion" control and intent understanding, and build a trustworthy system that covers data security and algorithm interpretability to ensure the reliability and controllability of applications. Li Annan believes that a sound data infrastructure is the soil for the growth of intelligent agents. To achieve this, it is necessary to establish a clear business evaluation system and feedback mechanism, so that intelligent agents can truly understand whether the business is "doing well or not", thereby realizing a qualitative change from auxiliary tools to important productivity, and creating real value of "effect emergence" in various industries. (New Society)