Weimob (SEHK:02013) H2 2025 Earnings call March 17, 2026 08:00 AM ET Company ParticipantsCao Yi - CFOSun Taoyong - Chairman of the Board and CEOYou Fengchun - Executive Director and PresidentConference Call ParticipantsLiao Yuan - AnalystXia Jun - AnalystOperatorThe event is for invited investors only. The audio recording transcript is for meeting for internal use by participants, not to be made public. Weimob Group has not authorized any media outlet to redistribute any content of this event. Any unauthori ...

Summary of Key Points from Conference Call Records Industry Overview - The conference call discusses the AI industry, specifically focusing on the "养龙虾" (Lobster Farming) model and its implications for the AI value chain and related sectors such as telecommunications and hardware manufacturing [1][2][3]. Core Insights and Arguments 1. **Shift in AI Interaction Model**: The "养龙虾" model represents a fundamental shift from a Q&A interaction to a user-directed AI that acts as a digital employee, available 24/7, enhancing productivity [2][3]. 2. **Token Consumption Surge**: The model is expected to drive a compound annual growth rate (CAGR) of over 3,400% in token consumption by 2030, making token efficiency a key competitive advantage [2][3]. 3. **AI Agent as a Service**: There is a clear path for the "养龙虾" model to monetize through user willingness to pay for tokens, establishing a subscription model for enterprise users based on service effectiveness [2][3]. 4. **Hardware Demand Growth**: The demand for hardware resources such as GPUs, CPUs, and memory is projected to increase significantly, impacting physical infrastructure and operational costs [3][4]. 5. **Cloud Services Opportunities**: The diverse deployment methods of the "养龙虾" model will benefit both centralized data centers and edge computing, potentially leading to a new wave of hardware upgrades [3][4]. 6. **Emergence of AI Native Applications**: The OpenCloud framework will enable vertical AI application software companies to transform into intelligent agent developers, creating new market opportunities [3][4]. Investment Opportunities in Telecommunications 1. **Optical Fiber Sector**: The optical fiber segment is expected to benefit from rising prices due to supply-demand changes, with prices increasing from 30 yuan to 100 yuan per kilometer. Companies like 长飞光纤 (Yangtze Optical) could see significant profit increases, with potential market cap growth of 240 billion yuan [4][5]. 2. **IDC Sector**: Companies with data center layouts and computing power leasing capabilities, such as 润建股份 (Runjian), are positioned to benefit from the resurgence in IDC demand driven by the "养龙虾" model [4][5]. 3. **Telecom Operators**: The growth in AI applications and computing power is expected to enhance the profitability of telecom operators, with companies like 中国电信 (China Telecom) and 中国移动 (China Mobile) showing potential for stock price rebounds [5]. Additional Important Insights - **OpenCloud's Rapid Adoption**: OpenCloud has become a new traffic entry point for major internet companies, with 13 leading firms adopting its deployment, indicating a shift in competitive focus towards agent interaction entry points [6][8]. - **Hardware Industry Impact**: The demand for hardware, particularly for integrated workstations and chips, is expected to rise, with companies like 绿联科技 (UGREEN) and 海光信息 (Haiguang) positioned to benefit from this trend [9][10]. - **Cloud Security Importance**: The widespread deployment of various agents will increase the demand for cloud security and identity management services, highlighting the need for renewed focus in these areas [4]. This summary encapsulates the key points discussed in the conference call, providing insights into the evolving AI landscape and its implications for various sectors.

Summary of Company and Industry Insights from Conference Call Company Overview - The company, 中孚信息, positions itself as the "security foundation" in the AI era, adopting a modular integration strategy to embed security capabilities deeply into leading cloud vendors and AI model platforms, avoiding direct competition with giants [1][3] Core Industry Insights - The company has launched an "AI Application and Service Platform" that shifts from single-point vulnerability patching to a comprehensive, systematic protection covering deployment, permissions, plugin audits, and threat tracing to address threats from OpenCloud and similar intelligent agents [1][2] - The company has established a dual-line commercial strategy: short-term upgrades of existing products like "密网卫士" to meet immediate needs, and long-term development of an integrated AI intelligent body security management platform [1][5] - A strict admission mechanism similar to iOS/Android is being implemented to address risks from OpenCloud plugins, focusing on dual verification of legality and identity to tackle core security issues like malicious plugins and supply chain poisoning [1][4] Key Strategic Directions - The "Fifteen" strategy emphasizes dual upgrades of "product + AI" and "AI + product," with plans to initiate AI-native architecture development by March 2025, transitioning terminal, data security, and zero-trust businesses to an AI-native model [1][6] - The company aims to create a symbiotic relationship between business and security, viewing the emergence of intelligent agents as a significant upgrade to security capabilities [5][6] Market Positioning and Competitive Strategy - The company does not plan to compete directly with cloud vendors or internet giants but instead focuses on embedding security capabilities as modules within partners' AI platforms, akin to the "Intel Inside" model [3][5] - The company has established partnerships with leading cloud vendors, AI model companies, and industry solution providers to promote the implementation of AI security capabilities [3][5] Addressing Security Challenges - The company recognizes the need for a comprehensive security capability that covers the entire lifecycle of intelligent agents, moving beyond traditional patching to a full-link protection system [2][4] - The company is developing a strict control platform to manage the OpenCloud plugin ecosystem, anticipating that it will resemble current iOS or Android application markets with stringent admission requirements [4][5] Future Outlook - The company has a clear plan for AI intelligent body security within its mid-to-long-term core strategy, focusing on both existing and upcoming domestic intelligent agents [6][7] - The integration of AI intelligent body security with existing terminal security, data security, and zero-trust businesses is expected to enhance product linkage, customer crossover, and solution integration [7][8]

Summary of Ugreen Technology Conference Call Company Overview - **Company**: Ugreen Technology - **Industry**: AI NAS (Network Attached Storage) products Key Points Industry and Policy Impact - Shenzhen Longgang District is set to introduce the "Lobster Ten Articles" policy, providing a 30% subsidy on the market price for self-developed, plug-and-play AI NAS products, directly benefiting Ugreen as a leading NAS provider in the region [2][3] - The policy is currently in the public consultation phase and will specifically target AI NAS products capable of deploying OpenCloud [3] Product Launch and Features - Ugreen launched the DXP6,801 series AI NAS products at CES 2026, featuring Intel Core i5-1,235U/i7-1,355U processors and up to 64GB of memory, comparable to the Mac mini M4 [2][4] - The DXP6,801 can run local models of 8B-14B scale with an output speed of 20 tokens/second, offering unique AI functionalities such as semantic search [2][4] Competitive Pricing and Market Position - The DXP6,801 is priced around $600, with the Pro version at approximately $1,300, suggesting a domestic price starting at 3,000-4,000 RMB. The 30% subsidy could significantly enhance its price competitiveness against mainstream NAS products [3] - Ugreen's NAS business is expected to thrive due to the favorable policy environment and strong market demand [3][7] OpenCloud Deployment Advantages - Deploying OpenCloud on Ugreen NAS offers unique advantages, including seamless integration with smart home ecosystems via Docker, allowing control over various smart devices [5] - Ugreen NAS provides data security features such as system snapshots and version control, enabling easy recovery from AI errors, which is crucial for safeguarding digital assets in the AI collaboration era [5][6] Financial Performance and Forecast - Ugreen is experiencing strong overseas sales and is in a robust product and channel cycle, making it one of the strongest performers in the industry [7] - Profit forecasts indicate approximately 700 million RMB in 2025 and 950-1,000 million RMB in 2026, with a current market valuation corresponding to a PE ratio of about 30, aligning with its PEG ratio [2][7]

Summary of Key Points from Conference Call Records Industry Overview - The focus is on the AI infrastructure sector, particularly the rapid growth of OpenCloud, which is shifting cloud service logic from pure inference APIs to "agent packaging services" [1][2] - This shift is driving significant increases in computing power, storage, and network bandwidth, leading to a notable rise in average transaction value [1] Core Insights and Arguments - OpenCloud has evolved from a popular open-source tool to a phenomenon in the developer community, with GitHub stars surpassing 260,000 in about two months and weekly user numbers reaching 2 million [2] - The demand for OpenCloud is driving traffic growth for third-party API aggregation and distribution platforms, with Open Router experiencing a 300% increase in daily API requests [2] - Cloud vendors are responding quickly to this demand, with services being rolled out to support OpenCloud's packaging services, which have a higher average transaction value compared to traditional inference APIs [2][3] - Major cloud service providers (CSPs) like Alibaba and Tencent are leveraging compliance and internal network integration to maintain pricing power [1][4] - The hardware side is seeing a shift in CPU demand, with the GPU/CPU ratio expected to improve from 8:1 to potentially 1:1 due to the general computing needs driven by agents [1][6] Additional Important Content - The commercial mechanism of agent packaging services has three implicit premium dimensions: high concurrency and token multiplier effects, integration of high-profit components, and a shift from on-demand calls to guaranteed exclusive resources [3][4] - The emergence of edge computing and CDN capabilities is expected to significantly impact the infrastructure and hardware segments, with a potential shift in inference processing from centralized cloud servers to edge nodes [5][6] - The next-generation "Feynman" chip from NVIDIA, expected to be produced using a 1.6nm process, is anticipated to redefine PCB logic and increase the value of related PCBs from hundreds to thousands of dollars [7][8] - The demand for liquid cooling systems is rising due to increased power consumption from higher computing density, making it a standard in AI computing centers [7][8] Investment Opportunities - Focus on leading CSPs with AI cloud service pricing power, particularly those serving large B-end/G-end clients who require compliance and data security [4] - The potential for significant changes in the infrastructure and hardware sectors, particularly in edge computing and CPU demand, presents new investment opportunities [5][6]

Summary of OpenCloud Conference Call Industry and Company Overview - **Industry**: AI and Cloud Computing - **Company**: OpenCloud, focusing on AI-driven personal assistant technology Core Insights and Arguments - OpenCloud has transitioned from a passive Q&A tool to an active task executor, showcasing capabilities such as system-level control, remote operation, persistent memory, and automatic wake-up functions [1][2] - Compared to traditional cloud agents like Manus, OpenCloud adopts an "open-source + local execution" model, allowing users to leverage local private data and tools, thus enhancing user control [1][2] - High-value applications in financial research have been validated, including automated report organization, strategy factor construction, and 24/7 market monitoring, achieving full-process automation from data retrieval to output [1][4] - The shift in token consumption from humans to agent workflows can trigger significant demand for inference computing power, with projections indicating a global AI Agent market CAGR of 40%-45% from 2026 to 2040 [1][6][7] Additional Important Content - The hardware landscape is shifting towards a balanced focus on GPU, CPU, and storage, benefiting low-cost cloud and IDC infrastructures [1][8] - OpenCloud's ecosystem has gained traction, with over 100,000 stars on GitLab shortly after its open-source release, indicating strong developer interest and potential to become a standard [1][5] - The market is witnessing a "token outflow" driven by domestic models like Minimax and Kimi, which have surpassed U.S. models in usage due to cost-effectiveness [3][9] - Risks include high valuations for computing chips and ITC stocks, as well as uncertainties surrounding the commercialization of AGI [3][11] Investment Recommendations - Suggested investment strategy should follow a path from infrastructure to entry points and application scenarios, focusing on companies like UCloud, Wangsu, and domestic CPU/GPU manufacturers [10] - Key companies to monitor include Jinshan Office and Yonyou Network in the enterprise software space, as they are well-positioned to benefit from the rise of AI agents [10] Future Outlook and Risks - OpenCloud is positioned as a trial and demand validation platform rather than a single large model provider, with potential for significant market impact in financial and investment software sectors [11] - Key risks to watch include the high current valuations of computing-related stocks and the uncertain path to AGI commercialization [11]

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Summary of Key Points from the Conference Call Industry Overview - The conference call discusses the **OpenCloud** platform and its implications for the **data center industry** and **AI Agent technology**. OpenCloud represents a new paradigm in AI Agents, differing significantly from traditional models in terms of interaction and deployment methods [1][2]. Core Insights and Arguments - **OpenCloud's Unique Architecture**: OpenCloud operates through instant messaging software, utilizing a local gateway and a large model for automated task execution. This architecture enhances user interaction and task execution efficiency [2]. - **Increased Demand for Data Center Resources**: The development of Agent technology has led to a significant increase in computational power consumption, driving demand for cloud services, APIs, and data centers, particularly in first-tier and surrounding cities [1][3]. - **Investment Opportunities**: OpenCloud presents multiple investment opportunities, including: - **Dynamic Skill Library**: Optimizes token usage and reduces costs by loading tools only when needed [4]. - **Private Deployment**: Offers high operational control and data sovereignty by running primarily on local hardware [4]. - **Capital Expenditure Trends**: Major cloud providers like Alibaba and Tencent are expected to increase capital expenditures significantly, which will support the data center industry's growth and exceed order expectations [12]. Industry Dynamics - **Data Center Industry Growth**: The data center sector is projected to experience a strong performance in 2026 due to: - A surge in new project deliveries and a favorable bidding environment [10][11]. - An increase in AI application complexity, leading to higher computational requirements [10]. - A shift towards G-level data center configurations, benefiting leading firms [10]. - **Chip Supply Chain Improvements**: The recovery of the domestic and international chip supply chains is expected to stabilize support for the data center industry, facilitating increased capital expenditure from downstream firms [13]. Token Economy and AI Demand - **Rising Token Consumption**: The demand for tokens is expected to rise sharply due to the proliferation of AI applications and the increasing complexity of tasks performed by Agents [15][18]. - **Impact on Computational Resources**: The growth of the Agent market will significantly increase the demand for computational resources, including storage and CPU, with indications of a rapid rise in API usage among major AI firms [21][25]. Risks and Considerations - **Valuation Risks**: The average valuation of the data center sector is currently at 18 times the expected EV/EBITDA for 2026, which is at the 75th percentile historically. Risks include potential underperformance in capital expenditure and chip supply, which could affect valuation stability [17]. - **Security Concerns**: The deployment of open-source solutions necessitates heightened attention to network security, especially in production environments [24]. Future Outlook - **Agent Market Penetration**: The current penetration of the Agent market is low, estimated at 0.5% to 1%. A potential increase to 2% by 2026 could lead to significant growth in token consumption [20]. - **AI Interactions**: Future developments may see increased interactions between AIs, creating a multi-layered network that could further drive token demand and computational resource needs [23]. Conclusion - OpenCloud and the evolving landscape of AI Agents present substantial opportunities for investment and growth in the data center industry, driven by technological advancements and increasing demand for computational resources. However, stakeholders must remain vigilant regarding potential risks and market dynamics.