Currently, artificial intelligence's empowerment of the real economy is undergoing a profound paradigm shift: from improving quality and reducing costs on the production side to accelerating the penetration of original innovation on the scientific research side. This transformation not only outlines a new picture of industrial upgrading, but also marks a shift in the value focus of technology integration from “transforming production lines” to “reshaping the innovation chain.” In the macro context of developing new quality productivity, traditional industries will find it difficult to break through the bottleneck of high-quality development if they are only satisfied with improving the efficiency of the production process; only by making up for the shortcomings of original innovation and technological research can a real transition be achieved.

Currently, artificial intelligence's empowerment of the real economy is undergoing a profound paradigm shift: from improving quality and reducing costs on the production side to accelerating the penetration of original innovation on the scientific research side. This transformation not only outlines a new picture of industrial upgrading, but also marks a shift in the value focus of technology integration from “transforming production lines” to “reshaping the innovation chain.” In the macro context of developing new quality productivity, traditional industries will find it difficult to break through the bottleneck of high-quality development if they are only satisfied with improving the efficiency of the production process; only by making up for the shortcomings of original innovation and technological research can a real transition be achieved.