中证报中证网讯(记者杨洁)1月28日晚，瀛通通讯（002861）披露2025年度业绩预告。受行业环境等因 素影响，其业绩面临阶段性挑战，预计全年归母净利润亏损，亏损范围在6500万元至7500万元之间。 公告中，瀛通通讯指出本次业绩承压的原因是多方面的。一方面，公司为加强品牌建设、提升品牌知名 度、拓展新产品销售渠道，加大了市场投入及团队组建，销售费用相应增长。同时，随着部分在建工程 转为固定资产，折旧费用相应增加，导致管理费用较上年度有所增长。另一方面，受限于规模效应，虽 然公司收入规模有所增长，但整体体量仍然偏小，导致规模效应尚未充分显现，单位收入分摊的固定成 本仍较高，进而对本期利润表现产生了影响。 消费电子行业人士表示，上述投入整体上利于长期发展，且瀛通通讯业绩承压也有行业市场竞争激烈的 因素。未来，随着消费电子行业市场逐渐回暖、AI硬件赛道规模化普及和产业链协同创新效应持续释 放，瀛通通讯有望凭借战略布局持续落地、技术创新不断突破以及新兴市场逐步拓展来突破发展瓶颈。 资料显示，瀛通通讯专注于声学产品及精密零组件、电源与数据传输产品的研发、生产与销售，产品广 泛应用于消费电子、汽车、健康、医疗、安防等 ...

Group 1 - The rise of smart consumption is transforming production methods, industrial structures, and social relationships, extending beyond mere lifestyle changes [1] - Many manufacturing companies are adopting a "customization" approach instead of focusing solely on mass production, reducing resource waste and enabling precise manufacturing [1] - Nike's customized shoes exemplify the consumer-to-manufacturer (C2M) model, allowing consumers to personalize their products while ensuring quick order fulfillment through smart factories [1] Group 2 - Smart consumption is creating new economic opportunities and diverse new business models, leading to the emergence of professions such as smart home operation technicians and AI lifestyle consultants [2] - The transformation of Shenzhen's Huaqiangbei into a hub for smart hardware innovation showcases a complete industrial chain from research and development to sales, enhancing consumer experiences with technologies like self-checkout systems and smart ordering robots [2] - These new business models are expanding economic growth boundaries and creating job opportunities, positioning them as vital support for the new economy [2] Group 3 - Smart consumption presents challenges for certain demographics, particularly the elderly, who may struggle with technology due to operational barriers and cognitive differences [3] - Addressing these challenges requires "age-friendly" technology design, such as simplified interfaces and additional support in public spaces to ensure inclusivity [3] - The rise of smart consumption is prompting market regulation upgrades, with Shenzhen leading the way in establishing guidelines to protect consumer privacy and data security [3] - Innovative applications of smart consumption are emerging in various sectors, enhancing visitor experiences in cultural and recreational settings [3]

Group 1: Home and Living Trends - The concept of "home" is being redefined through five key scenes: sleep, air quality, garden, kitchen, and security, focusing on the dual upgrades of "intelligent" and "sustainable" [1] - North American consumers are willing to pay a premium for smart mattresses with built-in sensors, while European regulations require mattresses to include a "digital passport" [2][25] - In Japan, the demand for modular bedding that is foldable and space-saving is increasing due to smaller living spaces [2][25] - Air purifiers and garden systems are evolving from standalone products to interconnected, traceable, and self-checking nodes, with a focus on carbon footprint and recycling paths [3] Group 2: Automotive and Outdoor Trends - The automotive aftermarket and outdoor sports sectors are shifting from a focus on specifications to a focus on values and identity [4] - American car owners view modifications as "adventure badges," while European consumers prioritize eco-friendly materials [5] - In the outdoor sector, 66% of European consumers prioritize "repairable and recyclable" products, while American consumers seek a combination of professional functionality and stylish design [6] Group 3: Health and Wellness Trends - The aging population and Gen Z's sleep anxiety are driving the demand for health monitoring technologies in personal spaces like bedrooms and bathrooms [8] - American seniors are willing to invest in electric wheelchairs and smart mattresses to maintain independent living, while Japanese seniors prefer non-medical-looking devices [9] - Approximately 40% of Gen Z experiences sleep anxiety at least three times a week, leading to a shift towards non-pharmaceutical sleep aids that utilize technology and plant-based ingredients [10] Group 4: Parenting and Beauty Trends - New parents are facing challenges related to safety, environmental concerns, and efficiency in childcare, with a focus on "invisible monitoring" and "algorithmic feeding" [12] - The beauty industry is seeing a shift towards products that combine functionality with emotional value, with a growing preference for natural ingredients and sustainable packaging among European consumers [12][74] - The toy market is experiencing structural changes, with educational toys becoming the fastest-growing category, driven by collectors and emotional engagement [35] Group 5: Fashion and Wearable Technology Trends - Fashion items are transitioning from mere clothing to wearable technology, with AI-driven apps and smart fabrics becoming integral to personal health monitoring [14][17] - The competition in the fashion industry will focus on integrating flexible sensors into clothing, enhancing both functionality and emotional connection [17] - The global consumer market is expected to shift towards purchasing identity, values, and data sovereignty rather than just functionality [17] Group 6: Consumer Electronics Trends - The smart home ecosystem is evolving, with consumers seeking seamless integration of devices and prioritizing basic functionality and cost-effectiveness [25] - The demand for smart wearables is increasing, particularly in North America, where consumers value health data management and aesthetic design [40][45] - The earphone market is rapidly growing, driven by gaming and streaming, with a focus on sound quality and immersive experiences [52]

Group 1: Traditional Market Dynamics - The Lu Tai market in Tianjin, with a history of 350 years, serves as a significant rural market, attracting over 20,000 participants on market days, showcasing its role as a cultural and commercial hub [1] - The market has evolved from a simple trading venue to a comprehensive platform that integrates regional culture, folk experiences, and urban-rural commerce, thus stimulating consumer potential [1] Group 2: Consumer Market Resilience - From January to October, China's total retail sales of consumer goods reached 41.2 trillion yuan, reflecting a year-on-year growth of 4.3%, indicating strong market resilience [2] - Retail sales excluding automobiles amounted to 37.2 trillion yuan, growing by 4.9%, demonstrating sustained internal market momentum [2] - The implementation of consumption policies has led to significant increases in the replacement of old products, with over 11.2 million vehicles and 128 million home appliances replaced under the "old for new" policy [2] Group 3: Service Consumption Growth - Domestic travel during the National Day and Mid-Autumn Festival saw 888 million trips, a year-on-year increase of approximately 16%, highlighting the recovery of tourism and related industries [3] - Pilot programs in elder care services have been initiated in regions like Zhejiang and Shandong, providing subsidies for elderly care, which enhances the quality of life for seniors and creates new consumer segments [3] Group 4: Emerging Consumption Trends - The AI translation earphone market has seen explosive growth, with sales reaching 382,000 units in Q1, a year-on-year increase of 960.4%, and projected annual sales of 1.527 million units, reflecting a threefold increase [4] - The rise of smart home products is evident, with significant increases in the retail share of smart appliances, indicating a shift towards high-end and intelligent manufacturing [4] Group 5: Economic Outlook - The overall economic foundation remains strong, with a long-term positive trend expected to continue, as China progresses towards high-quality development and modernization [6]

Core Insights - The core theme of the event was "AI that understands you better," with the launch of the iFLYTEK Spark Model X1.5 and a series of integrated software and hardware solutions [1][2] Group 1: Product Launch and Features - The iFLYTEK Spark X1.5 model features a MoE architecture with a total parameter count of 293 billion and an activation of 30 billion, achieving a 100% improvement in inference efficiency compared to its predecessor [1] - The model demonstrates strong capabilities in language understanding and mathematics, maintaining international leadership in mathematical abilities, and covers over 130 languages, achieving 95% performance of GPT-5 [1] - The model has improved long-chain reasoning training efficiency from 30% to over 84% and has introduced a non-autoregressive speech model architecture, enhancing performance by 16% while reducing inference costs by 520% [1] Group 2: Integrated Solutions and Applications - iFLYTEK has launched several integrated solutions, including the X5 smart office notebook with a recognition rate of 95.08% in noisy environments, and AI translation devices achieving recognition rates of 97.1% and 98.69% [2] - The iFLYTEK intelligent cockpit audio solution has been mass-produced in 19 automotive companies, with over 1 million units shipped [2] - In the education sector, the Spark model has established over 4,000 error-tagging systems, enabling a "hour-level closed loop" in teaching through intelligent grading machines [2] Group 3: Ecosystem Development - The iFLYTEK open platform has reached 9.68 million developers, with an increase of 2 million in the past year, and has launched the Astron intelligent agent platform supporting RPA [3] - The "Spark Lights Up the World" initiative was launched to promote global sharing of AI benefits [3] - The chairman of iFLYTEK emphasized that ultra-human multimodal interaction will become a standard for home AI, with a commitment to advancing technology that better understands users [3]

Core Insights - The core focus of the news is the launch of iFlytek's deep reasoning model "Xunfei Spark X1.5" and its advancements in AI technology, showcasing various AI hardware and software integration solutions and industry applications [2][3] Group 1: Product Launch and Features - iFlytek introduced the "Xunfei Spark X1.5" model, which utilizes a MoE (Mixture of Experts) architecture with a total parameter count of 293 billion and 30 billion active parameters [2] - The inference efficiency of Spark X1.5 has improved by approximately 100% compared to its predecessor, with enhancements in language understanding, logical reasoning, mathematical operations, and code generation, supporting over 130 languages [2] - The model's deep reasoning training efficiency has increased from 30% to over 84%, while optimizing the MoE training process to reduce energy consumption and costs [2] Group 2: Technological Capabilities - iFlytek highlighted two major technological capabilities: personalized memory, allowing for comprehensive understanding of user profiles and feedback, and versatile voice replication, enabling the recreation of any voice with just one recording [2] - A non-autoregressive speech model was also released, which can output complete text sequences in parallel, improving inference efficiency by about 16% and reducing inference costs by 520% [2] Group 3: AI Applications and Developer Engagement - iFlytek showcased various AI applications, including the Smart Office Book X5, AI translation headphones, and dual-screen translation machines, which support multilingual communication and personalized memory [3] - In the healthcare sector, the "Smart Medical Assistant Hospital Edition 1.0" provides auxiliary diagnosis and medical record generation [3] - The company launched the first intelligent agent platform supporting RPA (Robotic Process Automation) named "Astron," with over 300 intelligent agents developed in collaboration with leading enterprises [3] - As of October 2025, the number of registered developers on iFlytek's open platform reached 9.68 million, an increase of 2 million from the previous year, with a 125% growth in the large model sector [3]

Core Insights - The article discusses the recent wave of layoffs in Silicon Valley, particularly in the tech sector, driven by the rise of AI and economic uncertainty, with major companies like Meta and Salesforce cutting thousands of jobs [1] - The conversation emphasizes the importance of human skills that AI cannot replicate, such as initiative, courage, and responsibility, which are seen as unique values in the AI era [1][26] - The discussion highlights the evolving roles of professionals, particularly in fields like medicine and technology, where AI is enhancing efficiency but not necessarily replacing jobs [4][19] Group 1: Impact of AI on Employment - Major tech companies have announced significant layoffs, with nearly 100,000 jobs cut globally in the tech sector this year due to AI and economic factors [1] - AI is particularly affecting entry-level positions, such as junior programmers, where companies are hiring fewer individuals due to AI's capabilities [4][13] - The role of experts is evolving, with a shift towards becoming "translators" between AI and human needs, rather than gatekeepers of knowledge [3] Group 2: Skills for the AI Era - Professionals are encouraged to enhance their understanding of business and develop a deep knowledge of their industry to maintain relevance [19] - The article suggests that humanities graduates should focus on influencing others and building a personal brand, as their skills in communication and perception are crucial [5][6] - Continuous reading and practical experience are emphasized as essential for developing leadership and critical thinking skills [6][7] Group 3: The Future of Knowledge Services - Knowledge service platforms must innovate and create a personal style to remain valuable in an AI-driven landscape [22][24] - The importance of community and personal expression in knowledge sharing is highlighted, as AI cannot replicate the emotional connection humans have [25] - The article suggests that traditional teaching methods may become less effective, with personalized AI interactions becoming the preferred learning method [22]

Core Viewpoint - The article discusses the impact of AI on the job market, particularly in the tech industry, highlighting the need for individuals to develop unique skills and maintain their competitive edge in an AI-driven world [2][35]. Group 1: AI's Impact on Employment - A new wave of layoffs in Silicon Valley has seen major tech companies reduce junior tech positions, with Meta cutting 600 jobs and Salesforce replacing 4,000 customer service roles with AI [2]. - Nearly 100,000 jobs have been cut globally in the tech sector this year, driven by the rise of AI and economic uncertainty [2]. - The primary impact of AI is seen on junior programmers, with companies hiring fewer due to AI's capabilities, although the roles themselves remain as programmers still need to engage in tasks that AI cannot perform [8][20]. Group 2: Human Skills in the AI Era - The value of face-to-face communication and personal interactions is increasing as AI can easily summarize online information, making in-person exchanges more valuable [5]. - Experts are evolving into roles as "translators" between AI and humans, where their value lies in accurately conveying complex information rather than merely possessing knowledge [6]. - Humanities graduates are encouraged to focus on influencing others and building a personal brand, as their skills in persuasion and style become increasingly important [10][11]. Group 3: Strategies for Professionals - Professionals should enhance their understanding of business and industry nuances, as deep knowledge can create a competitive advantage [26][27]. - Building a public portfolio of work, such as code on GitHub or published articles, is essential for establishing credibility and visibility in the industry [28]. - Engaging in community activities and sharing knowledge can enhance personal reputation and job security, as industry recognition becomes crucial [25][28]. Group 4: The Future of Knowledge Services - Knowledge service platforms that facilitate community engagement will remain valuable, while traditional course-based platforms may struggle as AI offers personalized learning experiences [29][30]. - Knowledge providers must develop a unique perspective and be willing to express their opinions to stand out in a crowded market [31].

Core Viewpoint - The article discusses the unique business model of Huaqiangbei, which combines low-cost AI integration with traditional hardware, creating a rapid iteration environment that is difficult to replicate globally [2][32]. Group 1: Huaqiangbei's Business Model - Huaqiangbei has transformed traditional hardware into AI-enabled products with minimal barriers to entry, allowing for rapid market adaptation [4][11]. - The market is characterized by low prices, with AI products often sold at a fraction of their original retail prices, making them accessible to a broader audience [12][13]. - The ecosystem in Huaqiangbei allows for quick prototyping and iteration, with a typical product development cycle not exceeding three months [37][46]. Group 2: Product Diversity and Market Dynamics - Huaqiangbei has seen a surge in diverse AI products, including AI glasses, translation devices, and AI toys, with over 30 different types currently available [17][25]. - The market serves as a testing ground for new products, where consumer preferences shape the offerings, often leading to rapid obsolescence of older models [34][40]. - The customer base primarily consists of international buyers, with a significant portion of AI products being exported to Europe and the Americas, where consumers are more willing to experiment with new technologies [23][24]. Group 3: Technological Integration and Understanding - Many vendors in Huaqiangbei lack a deep understanding of the AI technologies they sell, often equating AI with translation capabilities [21][25]. - The integration of AI into hardware is facilitated by local software developers who can quickly adapt existing products to include AI functionalities [18][46]. - The market's approach to AI is largely driven by consumer demand for affordable and practical solutions, rather than a focus on cutting-edge technology [29][39]. Group 4: Future Prospects and Industry Evolution - Huaqiangbei is positioned as a significant player in the evolving AI hardware landscape, acting as a bridge between innovation and consumer needs [38][46]. - The article suggests that the ongoing evolution of AI hardware will continue to shape the market, with Huaqiangbei remaining a vital hub for experimentation and commercialization [49][51]. - The historical context of Huaqiangbei reflects its adaptability and resilience in the face of technological changes, indicating a promising future for AI integration in consumer electronics [48][49].

Core Insights - The article discusses the significant investment trend in AI hardware, particularly in the U.S., which is viewed as the "iPhone moment" for AI hardware development [3][7] - It highlights the differences between U.S. and Chinese AI hardware startups, emphasizing the U.S. focus on original, vertical market needs versus China's tendency for concept replication [2][6] Investment Trends - U.S. venture capitalists are heavily investing in AI hardware, seeing it as a pivotal moment similar to the launch of the iPhone, with a mature supply chain and manageable development costs [3][7] - The global enthusiasm for AI hardware is creating a golden opportunity for startups in this sector [3] Market Dynamics - The article notes that while U.S. startups are focused on enterprise-level solutions, Chinese companies are more inclined towards consumer-level products, leading to a divergence in innovation paths [2][6] - The emergence of open-source large models is reshaping the competitive landscape, allowing smaller companies to compete on a more level playing field [3][19] Cost Advantages - In the healthcare sector, traditional human translation costs exceed $1 per minute, while AI translation services can be offered at an annual fee of only $60, showcasing a significant cost advantage [3][35] - The article emphasizes the need for precise product positioning in various fragmented markets, such as legal consulting and maintenance services, to effectively address local needs [3][35] Product Development - The transition from software to hardware in AI products is driven by the need for better user experiences, as hardware can provide more intuitive interactions than software alone [9][10] - The company is developing AI hardware products, including translation headsets, and is focusing on creating a strong emotional connection in AI companionship products [12][15] Pricing Strategies - Traditional SaaS subscription models are becoming less effective due to the "80/20 rule," leading to a shift towards tiered pricing structures that accommodate heavy users [28] - The company maintains a competitive pricing strategy for its AI translation headset, positioning it within the high-end market segment while justifying its price through superior technology and user experience [27][29] Future Opportunities - The article identifies significant opportunities in the medical translation market, where AI can replace costly human translators, and emphasizes the importance of understanding local industry ecosystems for successful market entry [35][41] - It also discusses the potential for AI hardware to excel in vertical markets, providing tailored solutions that address specific user needs, contrasting with the challenges faced by general-purpose products [31][32]