Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies involved in the AIoT ecosystem and RISC-V technology Core Insights - The 6th Global AI+IoT Ecosystem Development Conference highlighted the integration of AI and IoT, focusing on edge computing optimization and device interoperability, which is expected to accelerate the industrialization of AIoT technologies in smart manufacturing and smart cities [1][11] - RISC-V is positioned as a core innovation driver, with the RDI Alliance aiming to enhance RISC-V penetration in AIoT devices to 30% within three years through a collaborative ecosystem [4][15] - The market for RISC-V is projected to grow significantly, reaching approximately RMB 119 billion by 2025 and RMB 653 billion by 2030, driven by the synergy of RISC-V and AI technologies [5][16] Summary by Sections Event Overview - The conference emphasized resolving technical challenges in edge computing and device interoperability, signaling trends in edge AI and satellite IoT [1][11] - Key technologies showcased included biometric simulation for enhanced user experience and predictive services in smart home ecosystems [2][12][14] Technological Developments - Innovations in low-power, edge-AI convergence were highlighted, with companies like GigaDevice and Telink demonstrating advancements in chip performance and energy efficiency [3][13] - The RDI Alliance's three-pillar approach includes technology, software, and service layers to optimize edge-AI architectures and facilitate AI model deployment [4][15] Market Projections - The report indicates a rapid scaling of the RISC-V market, with its open-source flexibility and low power characteristics aligning well with the distributed computing needs of AIoT applications [5][16] - The deployment path for RISC-V includes heterogeneous architectures, lightweight AI tools, and pilot applications validating commercial potential in various scenarios [6][16]

Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies involved in embodied intelligence [5]. Core Insights - The WAIC Intelligence-Inspired Embodied Forum highlighted three key technological advancements: the launch of the AgiBot World dataset, the Genie Envisioner platform for dual-arm robots, and the open-source ecosystem for operating systems [1][18]. - The industry is moving towards a closed-loop implementation model driven by data, models, ontologies, and scenarios, addressing the data scarcity issue and enhancing productivity across various sectors [2][19]. - The Genie Envisioner platform represents a significant leap in robot decision-making, transitioning from passive execution to an autonomous "imagine-verify-act" loop, improving task success rates significantly [3][20]. - Collaboration between academia and industry is accelerating technological integration, with notable contributions from institutions like Stanford and Tsinghua University [4][21]. - The Lingqu OS aims to establish a "Windows-like" position in the embodied intelligence era, addressing fragmentation in robot hardware and software through an open-source strategy [4][22]. Summary by Sections Event Highlights - The WAIC forum gathered leading institutions and showcased advancements in embodied intelligence, including the AgiBot World dataset with 1 million video streams and nearly 3,000 hours of operation data [1][18]. - The Genie Envisioner platform was introduced, achieving task success rates that exceed industry averages in various applications [1][18]. Technological Developments - The report emphasizes the importance of a closed-loop system for industrial applications, driven by data and models, which has been validated in sectors like manufacturing and logistics [2][19]. - The Genie Envisioner platform integrates advanced models for improved decision-making and task execution, enhancing operational efficiency [3][20]. Industry Collaboration - The forum underscored the trend of collaboration between academic institutions and industry players, focusing on overcoming challenges in technology integration and application [4][21]. Open-Source Strategy - The Lingqu OS is set to be open-sourced by Q4 2025, aiming to unify development standards and reduce barriers for developers in the robotics field [4][22].

Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies. Core Insights - The demand for Backup Battery Units (BBUs) is experiencing a significant increase due to the rising power consumption of AI servers, with key Taiwanese companies expected to benefit from this trend [8][9][10]. - Huawei's Ascend CloudMatrix 384 SuperPod made its debut at the WAIC 2025, showcasing advancements in intelligent computing alongside other domestic competitors [11][12]. - The competition in the AI computing power sector is intensifying, with OpenAI planning to deploy 1 million GPUs by the end of the year, while Elon Musk's xAI aims for 50 million chips in five years [13][16]. Summary by Sections AI and BBU Demand - AI servers are rapidly increasing in power consumption, leading to a "straight-line upward" explosion in BBU demand. Companies like Simplo Technology, Delta Electronics, AES, and Lite-On Technology are positioned to benefit [8][9]. - The proportion of BBU modules used in ASIC racks is also increasing, and the trend towards High-Voltage DC (HVDC) technology is expected to further boost BBU demand [9][10]. Huawei and Domestic Competitors - At WAIC 2025, Huawei's Ascend CloudMatrix 384 was highlighted, achieving the largest scale of 384-card high-speed bus interconnection. Major clients include Baidu, Meituan, and JD.com [11][12]. AI Computing Power Arms Race - OpenAI is pursuing a strategy for computing independence through self-developed chips and partnerships, with a goal to shift 75% of its computing resources to its Stargate project by 2030. AI capital expenditures are projected to reach $360 billion in 2025 [13][16]. - Meta has been actively recruiting talent from DeepMind, indicating a competitive landscape for AI expertise [14].

Investment Rating - The report does not explicitly state an investment rating for Eternal Beauty Holdings Core Viewpoints - Eternal Beauty Holdings Limited is the largest perfume brand management company in China, established in 1983 and has been operating in the Chinese market for nearly 40 years [1][7] - The company focuses on long-term value and brand image building rather than short-term discount promotions [4][11] - The business model is primarily B2B, with 80% of operations in brand agency and distribution, and 20% in direct retail [2][8] - The company has exclusive agency rights for over 90% of brands in the Chinese market, covering a comprehensive sales network [9][10] - Eternal Beauty Holdings ranks third in the Chinese perfume market, behind international giants Chanel and LVMH, and offers a diverse range of approximately 2,000 scents across 52 perfume brands [5][12] Summary by Sections Company Overview - Eternal Beauty Holdings is headquartered in Hong Kong and officially listed on the Hong Kong Stock Exchange on June 26, 2025, with an issue price of HK$2.88 per share [1][7] Business Model - The company operates a B2B brand agency and distribution model, ensuring stable profit margins for partners and maintaining long-term relationships [2][8] - Direct retail operations are concentrated in top commercial areas of 13 cities, avoiding lower-tier city channels [2][8] Market Strategy - The company emphasizes full-channel control to maintain stable pricing and prevent market disruption [9][10] - It provides a one-stop solution for brands entering the Chinese market, leveraging its extensive network and market experience [10] Brand Management - Eternal Beauty Holdings prioritizes long-term brand value and customer mindset cultivation, collaborating with brands for over 10 years [4][11] - The company recognizes the personalized nature of perfume consumption in China and tailors its offerings accordingly [5][12]

Investment Rating - The report maintains a guidance for low single-digit to mid-single-digit revenue growth for the full year [2][9]. Core Insights - Retail performance has shown steady improvement, with overall retail sales value (RSV) decreasing by 1.9% year-on-year in 1QFY26, driven by a 3.3% decline in mainland China and a 7.8% increase in Hong Kong and Macao [2][9]. - The management expects better performance in 2Q compared to 1Q, and better performance in the second half compared to the first half, leveraging the peak wedding season [2][9]. - The franchise channel has shown resilience, outperforming direct-operated stores, with same-store sales in mainland China decreasing by 3.3% year-on-year, while franchise stores remained flat [3][10]. - The proportion of high-margin products continues to expand, with direct sales same-store sales growth (SSSG) for gold products and jewelry inlaid products in mainland China at -1.4% and -2.2%, respectively, while in Hong Kong and Macao, they are +6.6% and +3.3% [4][11]. - E-commerce channels in mainland China saw a 27% year-on-year increase in RSV, contributing 7.6% to total RSV and 16.9% to sales volume, benefiting from strong demand driven by collaborations and promotional events [5][13]. Summary by Sections Retail Performance - The overall retail sales value (RSV) decreased by 1.9% year-on-year in 1QFY26, with a notable decline in mainland China and an increase in Hong Kong and Macao [2][9]. - Management noted that May was the best performing month, and sales continued to improve in July [2][9]. Franchise vs. Direct-Operated Stores - Franchise channels outperformed direct-operated stores, with same-store sales in mainland China showing a narrowing decline [3][10]. - The company closed a net 311 stores in mainland China, focusing on optimizing store performance [3][10]. Product Mix and Margins - The company is focusing on high-margin products, with expectations for the proportion of one-price gold product sales to increase from approximately 20% to 20-23% [4][11]. - Despite rising gold prices, the company expects a year-on-year decrease in gross profit margin (GPM) of 80-120 basis points, partially offset by product mix improvements [4][12]. E-commerce Growth - E-commerce channels are expanding rapidly, with a significant year-on-year increase in RSV, driven by strategic collaborations and marketing efforts [5][13].

Investment Rating - The report does not explicitly provide an investment rating for the industry discussed Core Insights - The 2025 World Artificial Intelligence Conference highlights a significant paradigm shift from a "model-driven" approach to an "intent-driven" approach in artificial intelligence, emphasizing the integration of human goals and values with AI processing [1][11] - Intent-driven intelligence aims to enhance decision-making reliability by incorporating causal reasoning and self-checking capabilities, moving beyond mere statistical outputs to achieve "purpose rationality" [2][12] - Current limitations of the model-driven paradigm, such as hallucination issues and diminishing marginal returns, necessitate breakthroughs at the paradigm level rather than just increasing computational power [3][13] Summary by Sections Section 1: Paradigm Shift - The transition from model-driven to intent-driven intelligence is characterized by the system's ability to autonomously identify and decompose goals without explicit instructions, integrating human values deeply into AI processing [1][11] - This shift requires AI systems to not only generate statistically valid outputs but also to possess capabilities for causal reasoning and self-correction to enhance decision-making reliability [2][12] Section 2: Challenges and Limitations - The report identifies key challenges in realizing the intent-driven paradigm, including the hallucination problem in large models, which threatens decision-making safety and raises ethical concerns [3][13] - The diminishing returns from merely increasing model parameters and data highlight the need for innovative approaches to overcome inherent limitations in current AI systems [3][13] Section 3: Technical Bottlenecks - Three major technical bottlenecks are identified: intent representation, causal reasoning mechanisms, and innovative learning architectures, which are essential for achieving the intent-driven paradigm [4][15] - Addressing these challenges is crucial for developing intelligent systems capable of general task modeling, maintaining decision-making robustness, and achieving deep collaboration with humans [4][15]

Investment Rating - The report assigns a positive investment rating to Solutions, indicating strong performance and growth potential in the telecommunications sector [1][2]. Core Insights - Solutions reported an adjusted net profit of 446 million SAR for Q2 2025, exceeding market expectations, primarily driven by robust performance in IT managed and operational services [1][2]. - The company's EBITDA margin remains strong and is within the FY25 guidance range, with expectations for management to reaffirm this guidance during the upcoming briefing [1]. - Revenue for the company reached 2.902 billion SAR, aligning closely with market expectations, with the private sector being a key driver of revenue growth [2][4]. Summary by Relevant Sections Financial Performance - Net revenue for Q2 2025 was 2.902 billion SAR, reflecting a 3% quarter-over-quarter increase and a 5% year-over-year increase [4]. - The gross profit margin improved to 23% from 21.8% in Q1 2025, while EBITDA was reported at 521 million SAR, slightly above market expectations [2][4]. - Net income for Q2 2025 was 446 million SAR, which is a 24% increase from the previous quarter and a 2% decrease year-over-year [4]. Segment Performance - Core ICT services revenue grew by 5% quarter-over-quarter and 10% year-over-year, indicating strong demand and project development [2][4]. - IT managed and operational services revenue remained stable with a slight increase of 2% year-over-year, showcasing the effectiveness of service integration [2][4]. - Digital services revenue showed a slight decline of 5% year-over-year, indicating potential areas for improvement [4].

宏观研究 /[Table_Date] 2025.07.27 2025-07-28 美日协议提振市场信心，欧央行按兵不动 [Table_Authors] 海外经济政策跟踪 本报告导读： 美日贸易谈判取得进展，提振全球市场情绪，本周全球股市普遍上涨。高利率与高 不确定性下，美国房地产市场需求疲弱，企业资本开支相对谨慎，制造业 PMI 走弱 但服务业表现仍强，经济尚具有韧性。欧央行维持利率不变，9 月或继续按兵不动。 投资要点： 证 券 研 究 报 告 请务必阅读正文之后的免责条款部分 宏 观 研 究 宏 观 周 报 [Table_Report] [Table_Summary] 全球大类资产表现：上周（2025.7.21-2025.7.25），全球大类资产价 格中，主要经济体股市普遍上涨。其中，日经 225 上涨 4.1%，恒生 指数上涨 2.3%，上证综指上涨 1.7%，标普 500 指数上涨 1.5%，发 达市场股票指数上涨 1.4%，新兴市场股票指数上涨 0.7%。大宗商品 价格涨跌互现，其中，COMEX 铜上涨 4.0%，南华商品指数上涨 2.7%， 伦敦金现下跌 0.4%，标普-高盛商品指数下跌 1.1% ...

Investment Rating - The report initiates coverage with an OUTPERFORM rating, setting a target price of HK$13.50 based on a current price of HK$9.83 [1]. Core Insights - Xiaocaiyuan International is positioned as a leader in the mass Chinese cuisine market, with a market share of 0.2% as of 2023, and aims to expand its store count significantly in the coming years [1][6]. - The mass Chinese cuisine market is projected to grow from RMB 3.6 trillion in 2023 to RMB 5.6 trillion by 2028, with a compound annual growth rate (CAGR) of 9.1%, outpacing the overall Chinese cuisine market growth of 8.7% during the same period [2][24]. - Xiaocaiyuan's revenue is expected to increase from RMB 5.21 billion in 2024 to RMB 9.43 billion by 2027, with net profit projected to rise from RMB 581 million to RMB 1.1 billion in the same timeframe [4][15]. Company Overview - Xiaocaiyuan was established in 2013 and has rapidly developed into a leading brand in the mass Chinese cuisine sector, with 673 stores across 14 provinces in China by the end of 2024 [1][6]. - The company focuses on a dual-driven model of "home-style flavor + high cost-performance," catering to diverse regional tastes with a seasonal menu of approximately 45-50 dishes [3][38]. - The company employs a standardized direct operation model, enhancing efficiency and quality control through a comprehensive supply chain system [3][48]. Financial Performance - Xiaocaiyuan's revenue for 2024 is projected at RMB 5.21 billion, reflecting a 14.5% year-on-year growth, with net profit expected to reach RMB 581 million, a 7% increase [4][15]. - The company has shown strong growth in its takeaway business, with revenue from this segment expected to grow by 34.4% year-on-year in 2024 [3][15]. - The operating cash flow is robust, with RMB 9.0 billion expected in 2024, indicating a healthy cash flow situation to support further expansion [22]. Market Dynamics - The mass Chinese cuisine market is benefiting from urbanization, changing family structures, and increasing demand for affordable dining options [2][29]. - The report highlights the potential for growth in lower-tier cities, where consumer demand for quality dining experiences is rising [29][33]. - The competitive landscape is fragmented, with Xiaocaiyuan holding the top position in the mass Chinese dining segment, which is characterized by low market concentration [45].

Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies involved in the AI sector Core Insights - The WAIC 2025 showcased unprecedented public interest in AI, with significant participation from over 800 companies and more than 3000 cutting-edge exhibits, marking the largest scale in its history [1][7] - The focus of the conference included key themes such as large model applications, computing power infrastructure, AI for science, and the integration of AI in various sectors including finance and healthcare [2][7] - Investment opportunities are shifting from individual GPU cards to full server racks, emphasizing the importance of computing power, model optimization, and AI infrastructure [8][15] Summary by Sections Core Technologies - The emphasis has shifted from individual chip performance to comprehensive solutions, with discussions focusing on efficient utilization of fragmented computing resources and low-power designs [2][12] - Major companies like Huawei and ZTE showcased advanced computing solutions, highlighting the integration of AI chips and servers into practical applications [3][4][5] Industry Applications - WAIC 2025 demonstrated a deeper commercialization of AI, with applications spanning robotics, smart glasses, and healthcare, reflecting a significant increase in participation from state-owned enterprises and international companies [7][13] - The event achieved record-breaking ticket sales and attendance, indicating a growing public enthusiasm for AI technologies [7][13] Smart Devices - The focus on embodied intelligence was evident, with dynamic usage scenarios presented through interactive exhibits that showcased advancements in humanoid robotics and smart glasses [8][14] - Notable product launches included Alibaba's Quark AI Glasses and China Telecom's Tianyi AI Glasses, which attracted significant public interest [8][14]