Dongxing: Seizing the new AI+ consumer scene, cost-effective domestic large models accelerate application landing.

Dongxing released a research report stating that the empowerment of AI technology in the consumer industry mainly manifests in boosting sales, improving operational efficiency, and reducing costs. Currently, the application of AI in the consumer industry is still in its early stages. With the maturity of AI technology and the introduction of more cost-effective products, its impact on the industry and company performance will become more apparent. Key focus should be on industries and companies with a high degree of integration with AI technology, such as education, human services, cross-border e-commerce, operational outsourcing, and smart retail. In the short term, companies that are the first to use AI technology and build large models will benefit first. Industry leaders with stronger financial resources and faster response times will benefit first. In the medium to long term, the key is how to combine AI technology with business deeply to form a competitive advantage. Companies that can build their own technology teams to help link AI, with deep technical expertise and a profound understanding of business models, are likely to thrive. Dongxing's main points are as follows: "AI + Consumption" is an important driver for promoting consumption. The introduction of cost-effective domestic large models is expected to accelerate the application of AI technology, and attention to opportunities for the implementation of "AI + Consumption" industry. In a statement at the State Council executive meeting on February 10, 2025, it was mentioned to support the rapid development of new consumption and promote "artificial intelligence + consumption", continuously create new products, scenes, and hotspots. In recent years, domestic large models have continued to emerge. On January 20, 2025, DeepSeek was officially launched, with high performance, low cost, and open-source characteristics. Cost-effective domestic large models can improve service performance while reducing costs, accelerating the industrialization of AI technology in various scenarios. The influence of AI on optional consumption is mainly reflected in three paths: (1) creating new consumption demands, (2) improving service efficiency and consumer experience, and (3) saving enterprise costs. In terms of specific industries, the optional consumption sector is expected to benefit from the landing of AI technology in various industries, such as smart home appliances, smart homes, education, human services, catering, e-commerce, offline retail, etc. Some industries have been continuously benefiting from the application of AI technology, while some industries are still in the early stages and have a large space for development. Education industry: One of the core scenarios where AI technology has landed earlier, with specific applications including AI assistants, AI learning companions, intelligent tutoring, etc. AI technology makes it possible to balance high quality, inclusivity, and personalization in education through cost reduction and efficiency enhancement, which is expected to improve the overall service quality and efficiency of the industry. The Co T capability of domestic large models makes the advantages of AI technology in the field of education more prominent. At present, leading companies in the education industry have layouts in the AI field, such as Doushen(Beijing) Education & Technology Inc., New Oriental, NetEase Youdao, FENBI, etc., have built their own large models. Companies like New Oriental, Duolingo, Xueda(Xiamen)Education Technology Group, Shanghai Action Education Technology, Jiangsu Chuanzhiboke Education Technology have introduced AI technology through cooperation with third parties. Overall, the most common AI+education applications currently are through apps, web pages, software, or smart hardware to achieve Q&A and teaching, with less of it focusing on achieving comprehensive improvements in educational efficiency and cost savings. In the future, as AI technology applications deepen, its role in boosting company profits is expected to become more apparent. Human services industry: AI technology's empowerment in the industry mainly focuses on: (1) improving the efficiency of matching people and positions, (2) saving recruitment costs, (3) enhancing talent training efficiency, and (4) optimizing enterprise talent management. The policy importance of the human services industry in ensuring employment and promoting development continues to increase. Referring to the economic and social operation rules of Japan in the 1990s, the proportion of flexible employment individuals is expected to increase, and the industry is expected to achieve significant development. AI technology will significantly improve recruitment and talent training efficiency, accelerating the development of the industry. TONGDAO LIEPIN, BOSS direct election, Beijing Career International have independently built or trained large models to empower business development. E-commerce retail: The e-commerce industry involves a large amount of data, text, image processing, and high demand for labor costs, so the empowerment of AI technology in the industry is also significant, mainly reflected in expanding sales and reducing costs. Mainstream traditional e-commerce platforms in China are leading Internet companies in the field of AI technology. In the past two years, cross-border e-commerce companies and operational outsourcing companies have successively adopted AI large models, such as Zhejiang China Commodities City Group, Focus Technology, Anker Innovations Technology, Xiamen Jihong Package Technology, Huakai Yibai, Guangzhou Ruoyuchen Technology, Qingmu Tec Co., Ltd., etc., but currently only cover some business processes. The advantages of boosting sales and reducing costs have not been fully realized. At the same time, the application of AI technology can improve advertising efficiency and reduce costs, partially offsetting the negative impact of increased tariffs on cross-border e-commerce companies. Offline retail: At present, AI technology's application in the traditional retail sector mainly consists of two models: one is retail brand companies building their own AI technology framework and connecting to large models such as Deepseek, such as Easyhome New Retail Group Corporation, Kidswant Children Products, Rainbow Digital Commercial; the other relies on professional technology companies. A group of vertical large model technology companies have emerged within the industry.Companies such as DMALL, Weimeng, Beijing Zhidemai Technology, etc. AI technology can help companies improve consumer service quality, create new consumer scenarios, and improve operational and management efficiency. Currently, the commercial retail channel is undergoing adjustments and changes, and the application of AI technology is expected to accelerate the process, providing new opportunities for the industry turnaround.Smart Wearables: By 2025, the AI smart glasses market will enter a period of intense new product releases, with global sales expected to see significant growth. With the launch of multiple new products and an increase in market penetration rates, companies along the related supply chain are expected to benefit fully from the development of this market. Risk Warning: Major changes in industry policies, AI technology development falling short of expectations, AI technology application effects falling short of expectations, and market consumer demand falling short of expectations, etc.