智通财经APP获悉，国际数据公司(IDC)10月13日发文称，生成式AI以及Agent的采用势头强劲，大幅带动了AI基础设施的增长。在Agentic时代， 曾经相对线性的技术栈已经演变为动态、互联的生态系统。这种变化不仅扩展了老牌企业的角色，也刺激很多企业跨界进入到AI基础设施市场。 IDC在2025年第三季度研究了亚太地区不断变化的AI基础设施市场及其带来的新挑战，也重点调研了整个生态系统里的典型厂商如何适应这些新 要求，并于近日发布《AI原生云/新型云厂商重构Agentic基础设施》报告。 2024年中国大模型平台市场格局 在大模型的驱动下，目前全球AI应用公司达数千家，这些应用既有基础大模型类通用助手，也有基于模型的AI搜索、社交、音视频生成等。IDC 全球追踪的数据显示，预计到 2029 年底，全球使用这些生成式AI应用的消费者数量将超过 57 亿人，远超 2024 年底的 31 亿人。在预测期内，用 户数量的复合增长率预计将达到 13.2%。整体付费用户预计将以 32.3% 的复合年增长率增长，而非付费用户的复合年增长率将为 12.0%。在亚太 市场，消费者对GenAI的采用也呈明显且加速的趋势。 ...

Core Viewpoint - Goldman Sachs reports that SenseTime has secured new generative AI project orders from enterprise (ToB) and government (ToG) clients across various sectors including education, healthcare, media, finance, and transportation, indicating a positive growth outlook for the company [1] Group 1: Project Growth and Market Conditions - The firm anticipates accelerated project growth driven by increased cloud capital expenditure in mainland China and favorable policies such as the AI+ action plan announced in August [1] - SenseTime is positioned to meet diverse client needs by offering a comprehensive suite of solutions that includes computing power, large-scale AI infrastructure, AI foundational models, and generative AI applications [1] Group 2: Strategic Focus and Financial Outlook - The company is expected to continue focusing on large-scale projects in the coming years to ensure higher efficiency and revenue growth [1] - Goldman Sachs has raised its target price for SenseTime from HKD 3.09 to HKD 3.53 while maintaining a "Buy" rating [1]

Economic Policy Measures - Shandong Province has introduced targeted policies to stabilize and improve the economy, focusing on key industries such as wholesale and retail, transportation, finance, and real estate [1] - The measures aim to enhance service consumption potential and support non-profit service sectors while promoting high-quality development in the service industry [1][2] Service Industry Contribution - In 2024, Shandong's GDP is projected to reach 9.86 trillion yuan, with the service sector contributing 5.23 trillion yuan, accounting for 53.1% of GDP and contributing 50.2% to economic growth [2] - The service industry's growth rate has improved, with a 5.8% year-on-year increase in the first half of the year, raising its GDP share to 54.4% [2] Production Service Sector Challenges - The production service sector in Shandong is identified as a weak point, with insufficient enterprise tier construction and a lack of leading companies to drive innovation [3] - The province plans to support the development of high-end production services and aims to cultivate around 30 leading production service enterprises and 20 innovation centers by the end of the year [3] Financial Support for Service Development - Shandong will allocate 200 million yuan in guiding funds to support new enterprises and key projects in high-end production services and quality life services [3] - An additional 10 million yuan will be directed towards high-growth enterprises and projects that are in the process of being recognized as new standards [3]

Group 1 - The mobile communication industry is experiencing a transformative wave driven by the rise of Generative AI (GenAI), which is expected to lead to a new era of development [1][2][42] - GenAI applications are becoming increasingly integrated into daily life, providing personalized experiences and practical services, thus potentially initiating a new network revolution [2][5] - The latest Ericsson Mobile Market Report provides comprehensive insights into the impact of GenAI on mobile communication networks, highlighting the need for adaptation and innovation within the industry [3][4] Group 2 - GenAI applications are characterized by their interactive and personalized content delivery, which significantly differs from traditional applications that rely on passive user engagement [14][15][8] - The rise of high-performance AI devices and bandwidth-intensive media formats will lead to a substantial increase in video traffic consumption from GenAI applications [11][12] - The demand for network resources will shift, with a notable increase in upstream bandwidth requirements due to user interactions and content sharing [17][28] Group 3 - The report identifies three key strategies for mobile communication networks to effectively respond to the changes brought by GenAI: refined network planning, expansion of frequency spectrum resources, and the introduction of differentiated connectivity [31][32][39] - Enhanced network management capabilities are essential to accommodate the complex and dynamic traffic patterns generated by GenAI applications [33][34] - Increasing mid-band and centimeter-wave frequency spectrum resources will directly support the high traffic demands of GenAI applications, particularly the growing upstream traffic [35][36] Group 4 - The emergence of AI agents and immersive technologies will further transform user interactions, necessitating continuous upstream connectivity for data transmission and real-time processing [21][25] - The shift towards a more intelligent, flexible, and scalable network architecture is imperative for the future of mobile communication, driven by the demands of GenAI applications [42][41]

Group 1 - The software industry has been favored by Wall Street investment firms due to high profit margins, low capital requirements, and sustained growth potential, leading to a long-term bull market for software stocks [1] - The rise of artificial intelligence (AI) has sparked a new investment frenzy in software stocks, with significant capital flowing into AI application companies like Applovin, Trade Desk, Duolingo, and Palantir since 2024 [1][2] - Companies focusing on generative AI applications and AI agents are expected to see explosive growth, driving substantial investments into core software stocks [1][2] Group 2 - The urgent need for businesses to improve efficiency and reduce operational costs has accelerated the adoption of generative AI applications and AI agents, enhancing productivity across various sectors [2] - Companies like Applovin and Palantir have reported strong performance and optimistic future outlooks, indicating robust demand for AI application software [2] - Meta has significantly increased its capital expenditure forecast for 2025, reflecting strong growth in its AI-driven digital advertising business [3] Group 3 - Not all software stocks have benefited from the AI boom; some companies like Salesforce and Adobe have underperformed, with significant declines in their stock prices [4][8] - A basket of software-as-a-service (SaaS) stocks compiled by Morgan Stanley has dropped over 6% this year, contrasting with the 12% rise in the Nasdaq 100 index [4] - Concerns about outdated technology and pricing pressures from AI competitors are causing significant stock sell-offs among traditional software companies [9][10] Group 4 - The valuation of software stocks has decreased significantly, with a basket of software stocks dropping to a projected price-to-earnings ratio of only 23x, half of the average over the past decade [14] - Investors are cautious about software stocks, with the weight of the software and services sector in the S&P 500 index declining from nearly 14.5% to about 12% [15][16] - The market is currently focused on a few successful software companies like Meta and Microsoft, while many others struggle to adapt to the AI landscape [16]