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Market Review - The AI ETF Huaxia (589010) showed strong performance on January 8, closing up 1.09% and briefly surpassing the 1.500 yuan mark. The holdings displayed a diverse performance, with Zhongke Xingtai leading with over a 4% increase, followed by Fudan Microelectronics, Chipone, and Cambricon, each rising over 3%. Newpoint Software and Foxit Software also saw gains exceeding 2% [1] - The Robot ETF (562500) continued its strong performance, closing up 1.06% with a total trading volume exceeding 1.377 billion yuan. The holdings experienced a collective surge, with Fengli Intelligent hitting a 20% limit up, and five other component stocks, including Huadong CNC and Xinjie Electric, also reaching the 10% limit up [1] Hot News - Global warehouse robot leader Geekplus signed a strategic cooperation agreement with a top global e-commerce company, committing to annual purchases worth hundreds of millions of yuan during the cooperation period. The partnership aims to replicate projects globally and develop the market, creating a high-sticky long-term value symbiosis [2] - Lingyi Technology announced on its interactive platform that it has established cooperation and supply relationships with several leading robotics clients in North America and over 20 domestic leading embodied intelligence companies. The company aims to become a top 3 global manufacturer of embodied intelligent hardware, focusing on core components, comprehensive hardware services, and developing complete industrial application scenarios [2] - On January 8, Leju Robotics reached a full-stack AI cooperation with Alibaba Cloud, planning to collaborate on humanoid robot training and explore joint solutions and product development based on the Qianwen model [3] Institutional Views - CITIC Securities noted that the embodied intelligence industry is developing rapidly, driven by the synergy of capital, policy, enterprises, and talent. Training data is a key factor in transitioning from "semi-commercialization" to "full commercialization." Companies that have successfully positioned themselves in data, models, and ontology should be prioritized for investment. Additionally, data companies, as "shovel sellers" in the AI era, are expected to have a faster commercialization pace compared to embodied model companies, making them worthy of attention [4]