Core Viewpoint - The data labeling industry is experiencing sustained growth in market demand as a crucial component of the AI industry chain, despite a decline in gross margin and net profit due to increased customization services and strategic investments for future competitiveness [2]. Group 1: Industry Insights - The data labeling industry is identified as a key foundational segment of the AI industry chain, with continuous growth in market demand [2]. - The industry is currently in a rapid development phase, characterized by fast-paced market demand and technological iteration [2]. Group 2: Company Performance - The company's gross margin declined year-on-year in the third quarter, primarily due to a significant increase in the proportion of customized service projects [2]. - The company's net profit is under temporary pressure, influenced by the need for forward-looking investments in data set research and platform technology upgrades [2]. - To expand into the government sector (G-end market), the company has increased its investments in market promotion and sales network development, which has impacted short-term net profit but is expected to support sustainable growth in the future [2].

Core Viewpoint - The company, Hai Tian Rui Sheng, is actively expanding its export and sales operations in the European Union, focusing on providing high-quality training data products and services to EU clients [2]. Group 1: Business Expansion - The company has established stable customer collaborations in the EU while deepening its core market presence in the United States [2]. - The company is increasing its investment and efforts in the European market to enhance its business operations [2]. Group 2: Sales Model - The sales model for the EU market involves direct exports from domestic entities to EU clients, which allows the company to respond more efficiently to customer needs and ensure service quality [2].

Market Performance - On January 20, the Shanghai Composite Index fell by 0.01% to 4113.65 points, the Shenzhen Component Index decreased by 0.97% to 14155.63 points, and the ChiNext Index dropped by 1.79% to 3277.98 points [1] Fund Manager Changes - On January 20, 24 fund managers experienced changes in their positions, with 43 fund products announcing fund manager departures, involving 12 fund managers [3] - In the past 30 days (December 21 to January 20), a total of 564 fund products saw fund manager changes, indicating significant turnover in the industry [3] - The reasons for the changes included 4 fund managers leaving due to job changes, 2 due to personal reasons, 4 due to product expiration, and 2 due to the end of agency roles [3] New Fund Manager Appointments - On January 20, 40 fund products announced new fund manager appointments, involving 12 fund managers [5] - Notably, Xia Haoyang from GF Fund currently manages assets totaling 163.79 billion yuan, with his highest-performing product being the GF Hang Seng A-share Electric Power Equipment ETF, which achieved a return of 97.29% over 1 year and 39 days [5] Fund Research Activity - In the past month (December 21 to January 20), Huaxia Fund conducted the most company research, engaging with 51 listed companies, followed by Bosera Fund with 39 and Southern Fund with 32 [6] - The automotive parts industry was the most researched sector, with 165 instances of fund company inquiries, followed by the medical device industry with 132 inquiries [6] Individual Stock Research - The most researched company in the last month was Xiangyu Medical, with 61 fund management companies participating in the inquiry [8] - In the past week (January 13 to January 20), the company with the highest number of fund inquiries was Tiancheng Technology, receiving attention from 36 fund institutions [8]

Market Overview - A-share major indices showed a significant rebound this week, with the weekly performance of the indices as follows: CSI 300 at -0.57%, ChiNext 300 at 1.39%, STAR 50 at 2.58%, CSI 500 at 2.18%, CSI 1000 at 1.27%, and the humanoid robot index at 1.48%, with the STAR 50 showing the most notable recovery [1] Recent Events and Highlights - China applied to the International Telecommunication Union (ITU) for frequency resources for over 200,000 satellites, with more than 190,000 satellites coming from the newly established Radio Innovation Institute. Experts are optimistic about the institute's role in integrating industry resources and leveraging China's large market to accelerate its industry to catch up with SpaceX [2] Current Perspectives - The establishment of the humanoid robot and embodied intelligence standardization technical committee by the Ministry of Industry and Information Technology is viewed positively for the humanoid robot industry chain, with related companies including Hengshuai Co., Junpu Intelligent, Anpeilong, Keda Li, Lens Technology, Changying Precision, Sanhua Intelligent Control, Fengmao Co., Top Group, and Wuzhou Xinchun [3] - Guangdong has launched its first provincial-level drone governance system, creating a drone resource pool and a provincial management platform to build a "one network for unified flight" service ecosystem, with related companies including Xindong Link, Wanfeng Aowei, Wolong Electric Drive, and Zongshen Power [3] - The China Academy of Information and Communications Technology's Tair System Laboratory recently issued a liquid cooling capability testing report and certificate to Shenzhen Invech Technology Co., indicating that AI data center construction is expected to drive demand for liquid cooling equipment, with related companies including Invech, Nanfeng Co., Chuanrun Co., and Bojie Co. [3] - China's application to the ITU for over 200,000 satellites coincides with the U.S. Federal Communications Commission granting SpaceX significant authorization to build, deploy, and operate an additional 7,500 second-generation Starlink satellites, with related companies including Superjet Co., Xindong Link, Guoji Precision, and Electric Science Digital [3]

Market Overview - The IT services sector experienced a decline of 1.27% on January 19, with Yanshan Technology leading the drop [1] - The Shanghai Composite Index closed at 4114.0, up 0.29%, while the Shenzhen Component Index closed at 14294.05, up 0.09% [1] Top Performers in IT Services - Langxin Technology (300682) saw a closing price of 19.26, with a significant increase of 7.36% and a trading volume of 816,700 shares, amounting to 1.563 billion yuan [1] - Huina Technology (300609) closed at 45.56, up 6.00%, with a trading volume of 174,700 shares, totaling 805 million yuan [1] - Jiechuang Intelligent (301248) closed at 49.49, up 5.91%, with a trading volume of 156,700 shares, amounting to 764 million yuan [1] Underperformers in IT Services - Ruosheng Technology (002195) experienced a significant drop of 9.93%, closing at 9.62, with a trading volume of 16.73 million shares, totaling 1.6345 billion yuan [2] - ST Saiwei (300044) closed at 5.40, down 8.16%, with a trading volume of 883,400 shares, amounting to 497 million yuan [2] - Huasheng Tiancai (600410) saw a decline of 7.55%, closing at 20.33, with a trading volume of 2.6993 million shares, totaling 5.515 billion yuan [2] Capital Flow in IT Services - The IT services sector experienced a net outflow of 4.973 billion yuan from institutional investors, while retail investors saw a net inflow of 3.896 billion yuan [2] - The sector also recorded a net inflow of 1.077 billion yuan from speculative funds [2] Individual Stock Capital Flow - Zimi Co. (000938) had a net inflow of 428 million yuan from institutional investors, but a net outflow of 1.91 billion yuan from speculative funds [3] - Langxin Technology (300682) reported a net inflow of 111 million yuan from institutional investors, with outflows from both speculative and retail investors [3] - Nanjing Digital (301638) saw a net inflow of 53.01 million yuan from institutional investors, while experiencing outflows from speculative and retail investors [3]

Group 1 - A total of 30 companies were investigated by institutions on January 15, with 24 companies being surveyed by funds, indicating strong interest from institutional investors [1] - Hai Tian Rui Sheng received the most attention, with 49 funds participating in its survey, followed by Di Ke Co., Ltd. and Jun Da Co., Ltd. with 12 and 9 funds respectively [1] - The surveyed companies belong to various sectors, with the power equipment industry having the highest representation at 4 companies, followed by the automotive and textile industries, each with 2 companies [1] Group 2 - Among the surveyed companies, 2 have a total market capitalization exceeding 500 billion, with Ningbo Bank and SF Holding being over 1 trillion, while 9 companies have a market cap below 100 billion [1] - In terms of market performance, 19 out of the surveyed stocks increased in value over the past 5 days, with Di Ke Co., Ltd. and Hai Tian Rui Sheng leading with gains of 31.28% and 31.12% respectively [1] - Seven stocks experienced net inflows of funds in the past 5 days, with SF Holding attracting the most at 282 million, followed by Ke Shi Da and Jun Da Co., Ltd. with inflows of 206 million and 199 million respectively [2]

Core Viewpoint - The company is expanding its overseas delivery capabilities by integrating a data annotation base in Southeast Asia, which is expected to generate significant revenue by 2025 [1] Group 1: Company Expansion - The company has established a data annotation base in Southeast Asia with over 1,000 employees [1] - This base will primarily provide content review and data annotation services [1] - The company plans to build a second localized delivery base in Southeast Asia by 2026, adding approximately 500 employees [1] Group 2: Revenue Projections - The Southeast Asia base is projected to contribute tens of millions of dollars in revenue by 2025 [1] - The establishment of these bases is crucial for supporting the overseas business of leading Chinese tech companies and fulfilling large customized orders from top clients in North America [1]

Core Insights - The A-share market has seen increased activity and emerging themes following the "opening red" in 2026, with a shift in broker research focus towards AI applications and brain-computer interfaces (BCI) [1][2] Group 1: Broker Research Trends - Broker research is increasingly focusing on high-growth industries, performance certainty, and valuation attractiveness, reflecting three major trends: a balanced investment style, a shift from speculative trading to performance realization, and a focus on domestic self-sufficiency and global competitiveness [2][7] - From January 1 to January 14, 2026, over 260 A-share companies were researched by institutions, with more than 230 receiving broker attention, highlighting a strong interest in companies like 壹网壹创, 成都先导, and 翔宇医疗 [3][4] Group 2: Key Companies and Their Focus - 壹网壹创, a leading company in the GEO concept, received attention from 27 brokers, focusing on its R&D investments and partnerships with platforms like Alibaba [4][5] - Other notable companies include 凯盛科技 and 海天瑞声, which received 22 and 21 broker inquiries respectively, with a focus on technological innovation in their respective fields [4] - Companies like 爱朋医疗, 中集集团, and 振江股份 also garnered significant broker interest, indicating a diverse range of sectors being explored [4] Group 3: Market Performance and Investment Opportunities - The AI application index and GEO index saw increases of 18.30% and 44.14% respectively from January 5 to January 15, 2026, indicating strong market interest in these sectors [8] - The global GEO market is projected to reach $24 billion by 2026 and $100 billion by 2030, with domestic expectations of reaching 11.1 billion yuan in 2026 [10] - Investment opportunities are emerging in the AI marketing sector, with a focus on companies that can leverage marketing technology and content creation [10][11] Group 4: Brain-Computer Interface (BCI) Insights - The BCI sector is expected to see significant growth, with applications in various fields such as healthcare and consumer products, driven by technological advancements and diverse application scenarios [12][13] - The global BCI market is projected to reach $7.63 billion by 2029, highlighting the potential for substantial investment opportunities in this emerging field [13]

Core Viewpoint - The company is expanding its overseas operations and focusing on high-growth areas such as embodied intelligence data, leveraging its capabilities in data annotation and management to meet increasing global demand for high-quality training data [1][2][3][4][5][8]. Group 1: Overseas Base Development - The company plans to integrate a Southeast Asia-based annotation center with over 1,000 personnel by 2024, expecting to generate millions in revenue by 2025 [1][3]. - A second local delivery base in Southeast Asia is planned for 2026, which will add approximately 500 personnel to support the outbound business of Chinese tech companies and customized orders from North American clients [1][3]. Group 2: Traditional Training Data Business Drivers - The demand for high-quality, multilingual, and scenario-based training data is driven by the rapid deployment of global AI applications [4][5]. - Key product lines include multilingual speech recognition data, handwritten data for financial document recognition, and multilingual text data for natural language understanding [4][5]. Group 3: Government Business Collaboration - The company has established a clear collaboration model with local governments, focusing on building high-quality industry datasets based on local characteristics and ensuring data security [7]. - Recent projects include partnerships with cities like Chengdu and Changsha, and the completion of initial data deliveries in Hohhot and Guangxi [7]. Group 4: Embodied Intelligence Data Business - The company views embodied intelligence data as a high-growth emerging sector and has formed a dedicated team to explore opportunities in various cities [8]. - Collaborations with robotics manufacturers and tech giants are underway to meet the demand for high-quality training data in real-world scenarios [8]. Group 5: Competitive Advantages in Training Data - The company has developed a dual-mode service product model, which significantly contributes to revenue and gross profit, ensuring scalability and high profit margins [9]. - Investment in technology and supply chain management enhances the company's capabilities in algorithm development and data security compliance [9][10]. - The company has achieved important certifications, including ISO/IEC 27001, ensuring robust data security and compliance with international regulations [10]. Group 6: Pricing and Market Dynamics - The pricing model for customized services is based on cost-plus pricing, while product pricing follows a demand-driven approach [11][12]. - Market dynamics dictate that scarce data types maintain premium pricing, while more mature segments face price competition, prompting the company to focus on high-barrier, high-margin niches [12].

Core Viewpoint - The company is expanding its overseas operations and focusing on high-growth areas such as embodied intelligence data, leveraging its capabilities in data annotation and management to meet increasing global demand for high-quality training data. Group 1: Overseas Base Development - The company plans to integrate a Southeast Asia-based annotation center with over 1,000 personnel by 2024, expected to generate millions in revenue by 2025, and aims to establish a second base in the region by 2026, adding approximately 500 personnel [1][3] - This expansion supports the company's ability to handle outbound business for Chinese tech firms and customized orders from leading North American clients [3] Group 2: Traditional Training Data Business Drivers - The demand for high-quality, multilingual, and scenario-based training data is driven by the rapid deployment of global AI applications [4] - Key product lines include multilingual speech recognition data, handwriting data for financial document processing, and multilingual text data for natural language understanding [4][5] Group 3: Government Business Collaboration - The company has established a clear collaboration model with local governments, focusing on building high-quality data sets based on local characteristics, ensuring data security, and developing data trading platforms [7] - Recent projects include partnerships with cities like Chengdu and Changsha, and the completion of initial data sets for Hohhot and the Guangxi ASEAN corpus [7] Group 4: Embodied Intelligence Data Business - The company views embodied intelligence data as a high-growth sector and has formed a dedicated team to explore opportunities in various cities [8] - Collaborations with robotics manufacturers and tech giants are underway to meet the demand for high-quality training data in real-world applications [8] Group 5: Competitive Advantages in Training Data - The company has developed a dual-service product model, with significant contributions from productization, ensuring high profit margins and scalability [9] - Emphasis on technological development, supply chain management, and data security compliance has strengthened its competitive position [9][10] - The company has achieved important certifications, enhancing its reputation and compliance with international and domestic regulations [10] Group 6: Pricing and Revenue Models - Custom services are priced using a cost-plus model, while product pricing is demand-driven, allowing flexibility based on market conditions [12] - The pricing strategy is influenced by supply and demand dynamics, with high-value data maintaining premium pricing, while more mature segments face price competition [12]