Core Insights - The report discusses the development of artificial intelligence (AI) computing centers and their evolution into AI computing networks, emphasizing the importance of infrastructure for digital economy growth and technological advancement [6][7][10]. Group 1: Global AI Computing Center Development - AI computing centers are recognized as critical infrastructure for the digital economy, facilitating the integration of AI technologies with traditional industries [10][18]. - Major countries, including the US, Europe, Japan, and China, are actively investing in AI computing infrastructure to maintain global competitiveness [12][18]. - The US plans to invest approximately $69 billion in AI and quantum computing research and infrastructure over the next five years, aiming to triple the number of AI research institutions by 2025 [13][19]. Group 2: China's AI Computing Center Characteristics - China's AI computing centers are primarily government-led, focusing on autonomous technology development and market-oriented operational mechanisms [31][33]. - The construction of AI computing centers is seen as a vital support for the integration of AI with the real economy, with cities like Wuhan and Shenzhen leading the way in establishing operational centers [23][34]. - The report highlights the importance of creating a public service platform that aggregates innovation resources and empowers industrial development through AI computing centers [46]. Group 3: New Demands and Challenges - The demand for computing power in AI is increasing, driven by large-scale pre-trained models that are being applied across various industries [7][23]. - AI computing centers must adapt to the new landscape characterized by "large models + big data + high computing power" and align with national carbon reduction goals [7][31]. - The report suggests that AI computing centers should evolve into interconnected computing networks to enhance resource sharing and meet the new demands of the economy [7][8]. Group 4: Recommendations for High-Quality Development - The report recommends a coordinated approach to enhance the quality of AI computing center construction and to establish operational mechanisms for AI computing networks [7][8]. - It emphasizes the need for technological innovation and policy support to facilitate collaboration between academia, industry, and government [7][8]. - Standardization in the construction of AI computing networks is crucial for their sustainable development and scalability [7][8].

Core Insights - The internet industry in China generated 14,420 billion yuan in revenue in the first three quarters of this year, marking a 2.8% year-on-year growth, indicating its role as a driving force for economic development [1] - Artificial intelligence (AI) is identified as a significant engine for the transformation of the internet industry, with the core AI industry exceeding 900 billion yuan, leading global open-source innovation ecosystems [1] - The emergence of intelligent agents signifies a new development phase in the internet, where AI evolves from a mere tool to an independent digital entity capable of perception, decision-making, and collaboration [2] Industry Developments - The intelligent agent internet expands the network's connectivity from humans and devices to intelligent agents, establishing a new norm of human-machine coexistence and intelligent collaboration [2] - Companies are actively developing intelligent agent products, enhancing work efficiency and enabling multi-step process automation across business departments [2] - New applications like "AI Smart Search" and "AI Market Trends" were launched by Xianyu, utilizing AI to improve transaction efficiency and provide users with tailored product recommendations based on real-time data [3] AI Application and Integration - AI technology is transitioning from concept to large-scale application, significantly altering the operational dynamics of various sectors, including manufacturing and services [4] - The integration of large models is pushing industries from "productivity enhancement" to "intelligent reconstruction," reshaping interaction and knowledge logic [4] - Companies are focusing on embedding industrial knowledge into model training to ensure flexible technology deployment across various sectors [5] Collaborative Efforts and Challenges - The deep application of large models and intelligent agents raises security risks that require collective attention from all stakeholders [6] - A dual governance strategy combining external and internal security measures is proposed to address the complexities of AI security [6] - Legal and policy frameworks are essential for balancing development and security in the internet sector, ensuring that advancements benefit society [6][7]

Core Insights - The 2025 World Internet of Things Expo marks the beginning of a significant transformation in the industry, focusing on the evolution from "connecting everything" to "intelligent interconnection" and ultimately to "intelligent action" [3][20] - The event emphasizes the importance of collaboration and capability development, showcasing a comprehensive AIoT capability map that outlines the future of the industry [3][20] Domain Expansion - The expo provides a clear answer to the question of how to achieve endless expansion of the AIoT industry, emphasizing the need for authoritative results to measure and define the industry [4][5] - The release of the "IoT Industry Scale Measurement Index System" offers a quantifiable way for the industry to assess its value, marking a significant step in defining the economic landscape of "intelligent action" [5] - The event has achieved unprecedented international participation, with nearly 400 companies from 15 countries, indicating a growing global influence of the AIoT capabilities represented by the expo [6] Application Scenarios - The expo showcases a variety of application scenarios, illustrating the journey from "intelligent perception" to "network connection" and "vertical empowerment" [9][12] - Core capabilities are highlighted as the foundation for application explosion, with advancements in multi-modal sensing and communication technologies being showcased [11] - The event emphasizes the importance of diverse ecosystems, exploring new application domains beyond traditional industries, such as emergency logistics and environmental monitoring [13] Future Aspirations - The expo serves as a platform for global consensus and vision, with high-level meetings and expert consultations shaping the future of the AIoT industry [16][17] - Innovation is positioned as a key driver for the industry's future, with a focus on core technologies and support for developers and entrepreneurs [17][18] - Collaborative ecosystems are being built to connect various stakeholders, facilitating resource matching and accelerating the development of the regional industrial chain [18][19]

Core Viewpoint - The Internet of Agents (IoA) represents a new digital ecosystem composed of autonomous agents that can discover, communicate, and collaborate without direct human intervention, marking a shift towards an "agent-driven" internet model [1][2]. Group 1: Market Potential and Growth - The IoA is rapidly gaining traction due to technological breakthroughs and increasing demand for automation, with Gartner predicting that by 2028, 15% of daily tasks will be autonomously handled by AI agents, and about one-third of enterprise applications will embed agent intelligence [2]. - The market for agent-related technologies is expected to grow at a remarkable compound annual growth rate (CAGR) of 46% in the coming years, indicating its potential to disrupt business models and lifestyles [2]. - By 2035, it is estimated that the global number of AI agents will reach 900 billion, with over 90% of Chinese households expected to own smart robots, highlighting the scale of IoA's future ecosystem [2]. Group 2: Technical Foundations and Challenges - The evolution of the IPv6 protocol is crucial for the IoA, addressing challenges such as addressing, dynamic networking, and security verification for large-scale agent collaboration [3][4]. - The IoA requires a vast address space to uniquely identify billions of agents, necessitating a new naming service discovery system that can dynamically register and parse semantic rules [3][4]. - Security and trust are fundamental for autonomous collaboration among agents, with IPv6 enabling a comprehensive security framework for identity, connection, and data [4]. Group 3: Data Governance and Utilization - Data is the foundation of the IoA, with agents processing vast amounts of heterogeneous data, necessitating robust data sovereignty and compliance measures to prevent misuse [5][6]. - A distributed data collaboration platform is essential for ensuring secure, compliant, and controllable data usage and exchange among agents, facilitating efficient service discovery and task completion [6][7]. - The data space establishes clear rules for data usage, ensuring accountability and traceability, which is vital for the operational integrity of the IoA [6][7]. Group 4: Strategic Development and Recommendations - China has a unique opportunity to develop the IoA, supported by a robust IPv6 infrastructure, a large data resource pool, and strong government backing for digital transformation [8][9]. - Recommendations for advancing the IoA in China include formulating a national development strategy, enhancing legal frameworks, building an innovation ecosystem, and fostering international cooperation [9][10]. - The development of the IoA is seen as both a challenge and an opportunity for industrial upgrading, with the potential for significant breakthroughs if innovation and market advantages are leveraged effectively [10].

Core Viewpoint - The article discusses the evolution of policy from "Internet Plus" to "Artificial Intelligence Plus," highlighting the differences in focus and implications for the future of technology integration in China [2][5][18]. Policy Evolution - The "Artificial Intelligence Plus" action plan was released by the State Council on August 26, 2025, aiming to deeply integrate AI with various sectors of the economy and society, outlining six key actions and corresponding developmental goals [2][3]. - In contrast, the "Internet Plus" action plan was issued on July 4, 2015, emphasizing the role of the internet as a foundational infrastructure for resource integration and innovation [3][7]. Terminology and Focus - A notable difference between the two documents is the frequency of the term "platform," which appears 62 times in the "Internet Plus" document but only 4 times in the "Artificial Intelligence Plus" document, indicating a shift in focus from platform-centric models to a broader integration of AI [4][5]. Technological and Economic Differences - The article argues that the fundamental nature of the internet as a "connector" contrasts with AI as a "cognitive" technology, leading to different policy approaches. The internet's value lies in connecting dispersed entities, while AI enhances the intelligence of individual nodes [9][10]. Industry Practices - The concept of "industrial internet" emerged from the "Internet Plus" initiative, where platform companies sought to extend their influence from consumer to enterprise sectors. However, the reality of business needs has led to a decline in enthusiasm for this strategy [11][12]. AI Integration and Future Prospects - The "Artificial Intelligence Plus" initiative aims to transition service industries from digital empowerment to intelligent-driven services, suggesting a shift in how businesses will adopt AI technologies [13][14]. - The article expresses optimism about achieving the 2027 goal of widespread AI integration across six key areas, citing lower resistance compared to the "Internet Plus" initiative [13][14]. Long-term Goals and Network Strategies - The long-term objectives for 2030 and 2035 require a network strategy to support the comprehensive development of the intelligent economy, emphasizing the need for interaction between supply and demand [16][18]. - The article notes a lack of emphasis on the internet within the "Artificial Intelligence Plus" policy, which may overlook the potential benefits of network effects in facilitating AI's growth [17][18]. Intelligent Internet Concept - The concept of "intelligent internet" is introduced as a potential framework for integrating AI and internet technologies, suggesting that the evolution from platform models to intelligent agents could enhance the effectiveness of AI applications [19][20]. - The emergence of open-source protocols for intelligent agents may facilitate a transition to a more decentralized and efficient model, breaking the dominance of traditional platform companies [19][20]. Conclusion - The article concludes that both "Internet Plus" and "Artificial Intelligence Plus" are not mutually exclusive but rather interdependent, with the potential to jointly drive China towards a new stage of intelligent economic and social development [22].

Core Viewpoint - The report "Intelligent World 2035" by Huawei outlines a systemic technological revolution driven by five foundational technologies: energy, storage and computing, perception and interaction, communication and networking, and intelligent technology, which will create significant opportunities in the next decade [8][13]. Group 1: Ten Technological Leapfrogs Towards Intelligent World 2035 - The report emphasizes that the upcoming technological revolution is not a result of single-point breakthroughs but a resonance effect from the accumulation of foundational technologies over decades [13]. - The future will see a shift from linear technological progress to simultaneous breakthroughs across multiple domains, creating a feedback loop that accelerates change [13][14]. - The concept of "superintelligent agents" is still maturing, requiring innovations beyond current models like Transformer to achieve true reasoning capabilities [16][17]. Group 2: Computing Power - Huawei predicts that global computing power demand will increase by 100,000 times by 2035 compared to 2025, highlighting computing power as a critical resource [19][22]. - The report introduces the concept of a "computing power cost singularity," where AI applications create value exceeding ten times the cost of computing power, leading to explosive demand [22]. Group 3: Storage - By 2035, storage demand is expected to grow by 500 times compared to 2025, with AI data comprising over 70% of this demand, indicating a significant growth opportunity in the storage industry [24]. Group 4: Intelligent Agent Internet - The report forecasts a future where 9 billion humans are interconnected with 900 billion intelligent agents, suggesting that the opportunities in the intelligent agent internet era will surpass those of the PC and mobile internet combined [28]. Group 5: Communication and Satellite Internet - Future communication networks will evolve into a "ground + satellite" collaborative network, making satellite internet and low-orbit satellite communication key infrastructure opportunities [30]. Group 6: Energy - The report anticipates that by 2035, wind and solar energy will surpass fossil fuels in generation capacity, with breakthroughs in hydrogen, controlled nuclear fusion, and space-based solar energy expected [30]. Group 7: Robotics, Batteries, and Perception Technology - The report identifies the need for advancements in robotics, including lighter, more cost-effective designs, and enhanced perception capabilities to enable AI to interact with the physical world [33][35]. - Innovations in energy density and efficiency of batteries are crucial for the practical application of AI in real-world scenarios [35][36]. Group 8: Opportunities Ahead - The report concludes that the next decade will present a multitude of interconnected opportunities across various industries, driven by advancements in AI and intelligent agents [39][40].

Group 1 - The media industry possesses dual attributes of technology application and discretionary consumption, expected to leverage AI applications to create new consumption scenarios [1] - In terms of policy, the State Council launched the "Artificial Intelligence +" action plan in August 2025, followed by the Ministry of Commerce's announcement in September to expand service consumption policies, supporting the creation of quality works in film, animation, and other fields, while exploring the value of traditional cultural IP [1] - The film industry is seeing a rich supply of films for the National Day holiday, including titles like "Assassination Novelist 2" and "Life of Langlang," with average content quality, while high-quality content is anticipated to drive surrounding derivative economies [1] Group 2 - AI technology is driving the development of movie-level video generation models, enhancing content production efficiency [1] - The overall industry benefits from the spiral development of AI from hardware to application, with the intelligent internet era set to reshape entertainment experiences through immersive technology that integrates multi-sensory interactions, promoting the fusion of virtual and physical worlds [1] - The Film ETF (516620) tracks the CSI Film Index (930781), which selects listed companies involved in film and television production and distribution from the Shanghai and Shenzhen markets, reflecting the overall performance of the film and entertainment industry [1]

Core Viewpoint - The article discusses the transformation of China's communication industry from "Internet of Everything" to "Intelligent Internet of Everything," highlighting the role of Haohan Deep (688292) in this AI revolution and its efforts to redefine its position in the market [1]. Group 1: AI Integration and Strategy - Haohan Deep is focusing on building an integrated AI engine that combines cloud, network, edge, and terminal, aiming to enhance decision-making efficiency and collaborative trust in the industry [2]. - The company has shifted from traditional network visualization to becoming an "intelligent hub," utilizing machine learning to proactively predict security threats rather than reactively responding to them [1][2]. - The company emphasizes a dual-driven strategy of "empowerment" and "protection," ensuring that each iteration of intelligence is reliable, verifiable, and traceable [2]. Group 2: Partnerships and Innovations - In June 2024, Haohan Deep signed a cooperation agreement with Huawei to leverage Huawei's Ascend full-stack solutions for AI application innovation [2]. - By 2025, Haohan Deep plans to collaborate with UnionPay's data subsidiary to apply its self-developed "Morning Star" large model in the intelligent call sector, expanding its reach in financial services [3]. Group 3: New Concepts and Ecosystem Development - The concept of "Intelligent Agent Internet" is introduced, where AI agents with autonomous decision-making capabilities will redefine connection logic in the digital world [3][4]. - Haohan Deep aims to create a new ecosystem that allows various intelligent agents to collaborate and generate value, focusing on open interfaces, data contracts, and revenue-sharing rules [4]. Group 4: Future Plans and Market Positioning - The company has outlined a three-step strategy to establish a platform for financial and security projects, develop an A2A interconnection protocol, and promote the Intelligent Agent Internet across various sectors [4]. - Haohan Deep is positioned to leverage China's vast data resources, rich scenarios, and strong computing power to contribute to the development of the AI industry, aiming for sustainable growth through its dual-driven strategy [5].

Group 1: Xiaomi and Huawei Developments - Xiaomi's chairman Lei Jun unveiled the new back screen design for the Xiaomi 17 Pro smartphone, featuring customizable display options and dual cameras [1] - Huawei has initiated price reductions for three flagship phone series, with the Mate X6 dropping from 12,999 yuan to 10,999 yuan, and the Pura 80 series seeing reductions of up to 1,500 yuan [2][4] Group 2: Tencent and Alibaba Market Performance - Tencent's market capitalization has returned to 600 billion HKD, with a nearly 300% increase over three years, driven by AI investments and strong gaming revenue [4] - Alibaba's stock price has reached a nearly four-year high, with a year-to-date increase of over 96%, recovering significantly from a low of 59 HKD in October 2022 [5] Group 3: Haier and Robotaxi Investments - Haier's Robotaxi business received strategic investment from Alibaba, indicating a deepening collaboration in autonomous driving technology [5][6] - Haier aims to scale its Robotaxi operations within two years, having already established a team of over 200 personnel [6] Group 4: Health and Retail Expansion - "Dong Mingzhu Health Home" has opened 970 stores nationwide, with plans to establish 3,000 stores this year, generating approximately 3.9 billion yuan in retail sales from 293 stores [7] Group 5: Huawei's Technological Insights - Huawei released a report outlining ten technology trends for the smart world by 2035, emphasizing breakthroughs in computing architecture and the growing importance of data for AI development [8] Group 6: Laser Radar Market Growth - The Chinese laser radar market is projected to exceed 24 billion yuan by 2025, with significant growth driven by increased demand in the robotics sector [9]

Group 1 - Huawei held the "Exploring the Unknown, Leaping into the Future" keynote speech on September 16, officially releasing the "Intelligent World 2035" series reports, which include the "Intelligent World 2035" and "Global Digital Intelligence Index 2025" reports, forecasting key technological trends for the next decade and their impacts on various industries such as education, healthcare, finance, manufacturing, and energy [1] - The first trend indicates that AGI will be the most transformative driving force in the next decade, but several core challenges must be overcome to achieve the AGI singularity, with a necessary path towards the physical world [1] Group 2 - The second trend highlights that as large models develop, AI agents will evolve from execution tools to decision-making partners, driving an industrial revolution [2] - The third trend points to a transformation in development models, where human-AI collaborative programming becomes mainstream, allowing humans to focus on top-level design and innovative thinking while delegating tedious coding tasks to efficient AI [2] - The fourth trend notes a shift in interaction methods from graphical interfaces to natural language, evolving towards multi-modal interactions that integrate human senses, providing users with immersive experiences [2] Group 3 - The fifth trend states that mobile apps are transitioning from independent functional entities to AI-driven service nodes, where users can simply give commands, and AI agents will invoke relevant service nodes for an optimal experience [2] - The sixth trend anticipates that with breakthroughs in key technologies like world models, new L4+ autonomous vehicles will enter daily life, becoming a "mobile third space" [2] - The seventh trend predicts that by 2035, the total computing power of society will increase by 100,000 times, breaking free from traditional von Neumann architecture constraints and achieving disruptive innovations across four core areas: computing architecture, material devices, engineering processes, and computing paradigms [2] Group 4 - The eighth trend emphasizes that data will become the "new fuel" driving AI development, with AI storage capacity demands expected to grow 500 times by 2025, accounting for over 70% of total storage needs, leading to changes in storage paradigms driven by Agentic AI [2] - The ninth trend indicates that the number of connected objects in communication networks will expand from 9 billion people to 900 billion intelligent agents, marking a transition from mobile internet to intelligent agent internet [3] - The tenth trend highlights that energy will become a core constraint on the rapid development of AI, with renewable energy expected to accelerate the replacement of traditional fossil fuels, surpassing 50% of total power generation by 2035, while AI will play a central role in managing new energy systems through token management of watts for real-time energy management [3]