<p>Based on the data of Chinese A-share listed companies, this study constructed a dual fixed-effect model to verify the impact of artificial intelligence computing power on the cross-border digital innovation of traditional enterprises in the Web 3.0 era. The research results show that the improvement of artificial intelligence computing power is conducive to the cross-border digital innovation of traditional enterprises within the region. Moreover, the moderating effect model indicates that the total factor productivity and green transformation of enterprises can amplify the positive impact of artificial intelligence computing power. However, financing constraints to some extent inhibit the positive effect of artificial intelligence computing power. Finally, the heterogeneity analysis shows that the differences in information disclosure quality and the different levels of analyst attention will affect the effectiveness of artificial intelligence computing power. Specifically, in companies with high information disclosure quality or high analyst attention, AI computing power can play a more effective role.</p>