In August 2025, the State Council issued the "Opinions on Deepening the Implementation of the 'Artificial Intelligence+' Action, 'making the development of the' Artificial Intelligence+'industry one of the key actions. Artificial intelligence, as a general-purpose technology, has revolutionary significance in empowering high-quality development in all aspects and will become a key driver for cultivating new quality productivity and building a modern industrial system. Overall, artificial intelligence will explore new tracks and reshape new models for the future development of industries from the following three aspects. One is to cultivate new manufacturing models for the future through "artificial intelligence+". From a historical perspective, several technological revolutions have driven revolutionary changes in production and manufacturing methods. During the first technological revolution, traditional handicraft workshops gradually shifted towards a factory based production model; The second technological revolution led to the emergence of large-scale assembly line operations. Nowadays, "artificial intelligence+" is leading a new round of transformation, pushing production methods towards intelligent driving and integration of data and reality. This transformation will undoubtedly bring about a qualitative change in efficiency and a reshaping of models for many industries. In terms of design and planning, artificial intelligence can integrate various resource elements such as people, objects, knowledge, skills, standards, etc., to find the "optimal solution" for the solution, greatly improving production efficiency. In terms of production and manufacturing, artificial intelligence can perform real-time monitoring and data analysis of equipment's operating conditions, production status, quality status, etc., in order to improve processes and optimize workflows in a targeted manner. In terms of labor organization, artificial intelligence can effectively bridge the shortcomings of weak personal strength, insufficient patience, insufficient stability, and limited adaptability to the environment. It is capable of handling areas where people are unable to perform (such as dangerous and harmful labor scenarios) and areas where people are uncomfortable (such as a large number of tedious and repetitive labor scenarios). The organizational model of "human-machine collaboration" will become the norm. The second is to explore new consumption scenarios in the future through "artificial intelligence+". Production has a crucial impact on consumption. It not only clarifies the specific objects of consumption and shapes the ways of consumption, but more importantly, injects a continuous stream of motivation into consumption. Especially those disruptive innovative products can often become the key "detonator" to start a new round of innovation cycle. For example, the revolutionary iPhone launched by Apple in 2007 ushered in a new era of smartphones. Nowadays, the new generation of artificial intelligence is also promoting disruptive changes in products such as mobile phones, computers, automobiles, and home appliances, becoming a new engine to open a new chapter in the consumer electronics industry and promote the revitalization of the consumer market. Taking cars as an example, in the industrial era, cars had a single function and were only used as a means of transportation, while in the era of artificial intelligence, intelligent connected cars have been upgraded to "intelligent agents" that can see, listen, speak, drive, think, and learn, becoming the "stewards" of people's intelligent lives and collaborating remotely with various smart homes. The third is to create a new path for future innovation through "artificial intelligence+". Artificial intelligence, as a general-purpose technology, plays the role of an "innovation enabler" and can open the door to opportunities for improving technological research and development efficiency and cultivating emerging industries. In terms of technological innovation, artificial intelligence can discover patterns and produce knowledge from diverse and heterogeneous massive data. For example, the MIT team used deep learning models to screen over 100 million compounds in just a few days to develop new antibiotics. Empowered by artificial intelligence, the discovery of scientific and technological laws will expand from deriving descriptions based on "formulas+theories" to "parameters+algorithms". In terms of industrial innovation, artificial intelligence will accelerate its cross integration with other cutting-edge technology fields such as biology, energy, and materials, resulting in a collective leap in innovation. For example, artificial intelligence can efficiently support the empowerment application of the entire process of material design, preparation, characterization, and greatly promote the discovery and transformation of new materials, injecting new vitality into industrial development. Next, China needs to take advantage of the situation and vigorously promote "artificial intelligence+", fully combining technological advantages with the advantages of a super large market and a complete industrial system, to form a new quality productivity that promotes the deep transformation and upgrading of industries. One is to accelerate the construction of an "artificial intelligence+" innovation ecosystem. By closely integrating the government with an effective market, we aim to build a "wild goose formation" of AI leading enterprises that stand tall and technology oriented small and medium-sized enterprises that dominate. We will strengthen the entire process of technology research and development, product development, brand building, market promotion, and user service, and connect the entire chain of "hardware system industry". This will create benchmark new products and scenarios in industrial manufacturing, consumer services, technology research and development, urban governance, and other fields, systematically enhancing the overall influence of AI in China. The second is to establish a governance system that adapts to "artificial intelligence+". The new business model is also accompanied by the "troubles" of growth, and artificial intelligence also has problems such as generating false information, algorithmic discrimination, and data leakage. We need to accelerate the improvement of the governance system that adapts to new business formats, and promote "good intelligence" through "good governance". On the one hand, technological regulatory measures can be fully utilized to 'counter the spear of technology with the shield of technology'. Developing intelligent detection tools to identify inappropriate, harmful, or illegal artificial intelligence content; On the other hand, it is necessary to strengthen institutional responses to the new hot topics and issues arising from artificial intelligence, guided by "agile governance", and improve rules on data, algorithms, data security, personal information protection, intellectual property, and other aspects. (New Society)