Group 1 - The core viewpoint is that overseas AI commercialization paths are clear, with model iteration and application explosion resonating together, leading to significant growth in user engagement and revenue for both model and application vendors [1][2] - North American tech companies are experiencing excess revenue growth compared to the macro economy and other industries, benefiting from the hardware computing power supply chain and accelerated cloud business revenue due to strong AI demand [2] - In the domestic B-end market, AI commercialization is first reflected in the Pre-AI stage, with rapid revenue generation in vertical scenarios like HR and finance that have clear cost-reduction and efficiency-improvement needs [3] Group 2 - The domestic C-end AI market is dominated by major companies, which adopt a free model to capture market share, while those achieving commercialization faster are primarily targeting overseas markets, focusing on image editing and video generation products [4] - The recommendation includes focusing on Pre-AI revenue in OA and ERP segments, faster AI revenue in specific vertical scenarios, and the gradual increase in local inference [1]