The recently held executive meeting of the State Council reviewed and approved the "Opinions on Deepening the Implementation of the 'Artificial Intelligence+' Action", proposing that the current artificial intelligence technology is accelerating iterative evolution, and the 'Artificial Intelligence+' Action should be deeply implemented, vigorously promoting the large-scale commercial application of artificial intelligence. This indicates that artificial intelligence has become the core of national development strategies and is seen as a key force driving economic and social development and reshaping national competitiveness. Why 'Artificial Intelligence+'? Because it is a strategic technology that leads the technological revolution and industrial transformation. Artificial intelligence has the ability of autonomous learning and continuous evolution, which can improve efficiency, catalyze innovation, reconstruct resources, create new industrial forms, and have universality. These characteristics are difficult for traditional technologies to achieve. More importantly, artificial intelligence has strong penetration and integration capabilities. Through deep integration of data processing, self-learning, and scene adaptation, it can comprehensively and deeply transform and upgrade traditional industries, while also giving birth to emerging industries and opening up new tracks for future industrial development. Artificial intelligence is reshaping the international competitive landscape, and China has placed it at the strategic core to seize opportunities and seize the initiative. Artificial intelligence can make up for the traditional shortcomings of the manufacturing industry and forge new advantages. Traditional manufacturing relies on manual scheduling and empirical judgment, which is subjective and inefficient, with slow supply chain response and poor risk foresight. Traditional large-scale production lines are difficult to adapt to the increasing demand for small batch and multi variety customization. Artificial intelligence achieves full chain intelligence in the manufacturing industry by mining data, intelligent algorithms, etc., from the production end to the supply chain, from quality control to research and development design. This not only solves the pain points of low efficiency, high cost, and slow response in traditional manufacturing, but also gives birth to new forms such as flexible production and personalized customization, promoting the manufacturing industry to shift from experience driven to data-driven, and from extensive growth to high-quality development. The manufacturing industry provides abundant soil for artificial intelligence. For 15 consecutive years, China has firmly held the top position in the global manufacturing industry, with a complete industrial system, large market size, and rich application scenarios. Among them, the complete industrial system from chip manufacturing to terminal applications provides solid support and collaborative networks for technology implementation; The super large scale market contains massive demand, drives the direction of technological iteration, and can quickly digest technological achievements; Enriching application scenarios is the "experimental field" for technological iteration, driving continuous optimization of algorithms and continuous improvement of models. It is based on these advantages that China's AI technology has been able to accelerate its evolution and upgrading, forming a virtuous circle of innovation driving application and application promoting innovation. There is still a huge gap between the technological feasibility and large-scale application of artificial intelligence empowering the manufacturing industry. The internal decision-making process of artificial intelligence is invisible and unexplainable, like a black box. Once an anomaly occurs, it is difficult to trace and investigate. However, the industrial sector requires extremely high stability and reliability, which creates a certain contradiction between them. In addition, many traditional industrial equipment generate a large number of data silos due to aging and inconsistent interfaces; The comprehensive application cost of artificial intelligence is relatively high, which not only includes software and algorithms, but also involves intelligent transformation of existing hardware equipment, building computing infrastructure, etc., which makes many small and medium-sized manufacturing enterprises hesitate. Application oriented is the key to bridging the gap between technological feasibility and large-scale application. The effectiveness of any artificial intelligence technology must be tested in real-world scenarios, meeting hard indicators such as cost reduction, efficiency improvement, and quality enhancement, which will also drive technological iteration and optimization. Starting from typical scenarios, core links, and clear pain points, achieving rapid inspection in small incisions can not only reduce the difficulty of transformation, but also accumulate high-quality scenario data, gradually expanding and deepening applications from point to surface. From the perspective of lowering application barriers, open scenarios for leading enterprises can not only share data, technical solutions, etc., but also drive collaborative transformation of the industrial chain and dilute costs. In addition, the "AI as a Service" model is also a good approach, as small and medium-sized enterprises can rent on demand, reducing upfront investment. The 'artificial intelligence+' aims to achieve a multiplier effect. Breaking through data silos, lowering application barriers, and solving technical problems, this two-way rush between artificial intelligence and manufacturing will promote China's manufacturing industry to climb up the global value chain, create more solid competitive advantages, and inject surging momentum into the construction of a manufacturing powerhouse. (New Society)