Research on Identification of Potential Directions of Artificial Intelligence Industry From the Perspective of Weak Signal

The convergence and application innovation of artificial intelligence in vertical industries is facing challenges. Identify weak signals of artificial intelligence industry convergence to grasp the innovative characteristics of emerging industries, promote the process of technological revolution, assist enterprises in formulating technological development strategies, and cultivate core competitiveness. Based on the characteristics of a wide range and diversified development trend of artificial intelligence industry convergence application scenarios under market motivations, this article uses the BVD-Zephyr database and world input–output database input–output data and other market dimensions to identify the framework of weak signal recognition in traditional strategic competition. In the above, the introduction of physical acoustic wave weak signal method, from the perspective of detecting abnormal factors, and the perspective of social network analysis to verify the mathematical regression model, to build a “scanning-perception-network verification-detection” industrial convergence weak signal structured identification framework. This article has effectively improved the existing research on weak signal identification of industrial convergence that ignores the defects of the differences in the process of industrial convergence caused by convergence motivation. The introduction of natural science research methods has improved the objectivity, scientificity, and applicability of the weak signal identification process. The results show that the convergence of the artificial intelligence industry shows five weak signals and three potential development directions.