Based on the WOS database, this paper collects a total of 3621 relevant literatures in the field of artificial intelligence and laser technology from 1989 to 2022. The visualization software DDA and CiteSpace were used to conduct bibliometric analysis of the literatures distribution characteristics, hot topics, keywords clustering, emerging trends and highly cited papers. The results show that the number of published papers in China ranks first in the world, and the total number of citations ranks second in the world. However, the frequency of cited articles is obviously low, lower than that of the global average mean. The overall quality of papers need to be further improved. Machine learning, deep learning, convolutional neural network, laser radar, artificial neural networks, additive manufacturing, classification, point cloud, laser-induced breakdown spectroscopy and feature extraction have become the hot keywords in this field. Including life health, laser radar, additive manufacturing and elemental analysis of four major applications. Among them, keywords such as deep learning, additive manufacturing, 3D display, point cloud, laser powder bed fusion and convolutional neural networks have become research trends in recent years.