New industrialization is the key task of Chinese modernization and an important measure to speed up the formation of new quality productivity. As the universal purpose technology of the fourth industrial revolution，artificial intelligence technologies such as machine learning，natural language processing，image processing，human-computer interaction，and general large model are accelerating the deep integration with the industrial field，effectively helping to improve production efficiency，improve logistics level，optimize energy efficiency，and improve product quality. In recent years，artificial intelligence-enabled industry has developed rapidly，achieved remarkable economic results，and entered a new stage of comprehensively enhancing the overall value of industry. In the industrial field，the demand for computing power，data，and cloud computing platforms is huge，computer vision and machine learning algorithms are widely used，artificial intelligence industrial integration scenarios are constantly expanding，and enabling economy has achieved remarkable results. At the same time，“artificial intelligence+industry” also faces challenges such as lack of high-quality data，unexplainable algorithms and difficult to solve deep application problems. In the future，with the breakthrough development of large model technology and the continuous improvement of industrial application demand，“artificial intelligence+industry” will enter a new stage of deep integration and development combining large model drive and scene innovation.