人工智能产业集群 增加值实现两位数增长 规上工业总产值突破5万亿元 专精特新"小巨人"企业数量 跃居全国城市首位 …… 2月10日，深圳市七届人大七次会议举行经济科技专场记者会。深圳市发展和改革委员会副主任朱云，深圳市科技创新局副局长、市外国专家局局长李肖 力，深圳市工业和信息化局党组成员、市中小企业服务局局长吕哲，深圳市商务局副局长叶文戈围绕深圳市"十四五"发展成就和"十五五"规划的有关情况 答记者问。 人工智能领跑全国 现代化产业体系蓄势待发 政府工作报告提到，2025年深圳市人工智能等集群增加值实现两位数增长。朱云表示，"十四五"期间，深圳主动作为抢抓人工智能重大发展机遇。现有人 工智能规上企业超2600家，2025年人工智能核心产业营收约2200亿元，产业综合实力稳居全国第一梯队。打造全栈自主的基础算力底座，深圳已建成和在 建的智能算力规模达54.3E，推进国家人工智能行业应用基地建设。 展望"十五五"，深圳将进一步强化深圳人工智能供应链优势，在智能终端、国产算力等方面持续发力，奋力将深圳打造成为自主可控算力技术引领地、全 国新一代智能终端创新主阵地、国际开放合作解决方案输出地。 "'十五五'时期要持 ...

Group 1: Market Overview - The edge AI hardware sector is experiencing significant growth opportunities due to the rapid development of artificial intelligence technology, with a projected market increase from 321.9 billion yuan in 2025 to 1,222.3 billion yuan by 2029, representing a compound annual growth rate (CAGR) of 39.6% [1] - The demand for edge AI is driven by the deep integration of AI technology in consumer electronics, leading to upgrades in smartphones, PCs, and wearable devices [1] Group 2: Industry Developments - Companies across the edge AI hardware supply chain are accelerating their strategies, focusing on large models, chips, operating systems, and terminal manufacturing to create a collaborative ecosystem [1] - Tencent announced the launch of a consumer-grade model, HY-1.8B-2Bit, which has a parameter count of 0.3 billion and a memory requirement of 600MB, showcasing advancements in edge AI model development [2] - AI chip manufacturers are leveraging capital markets for growth, with companies like Aixin Yuanzhi becoming the largest provider of mid-to-high-end visual edge AI inference chips by 2024 [2] Group 3: Technological Advancements - Zhongke Chuangda is focusing on the development of an AI operating system (AIOS) to ensure long-term strategic positioning and competitive advantages in edge AI technology [3] - Manufacturers are preparing for the edge AI hardware wave, with companies like Lens Technology engaging in deep R&D and partnerships with leading AI platform companies to meet future hardware demands [3] Group 4: Future Outlook - Long-term forecasts suggest that 2026 will be a pivotal year for the mass adoption of edge AI products, as both hardware capabilities and model lightweighting have matured [4] - The emergence of edge AI products is expected to create new revenue models for model manufacturers and serve as a new consumer traffic entry point, supported by strong demand and rapid product iteration [5]

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Core Viewpoints - China's economy is undergoing significant changes, with GDP approaching that of the largest economy globally and contributing over 30% to global economic growth in recent years [2][4][5] - The rise of AI and the competition for computing power are reshaping industries, necessitating breakthroughs in energy technology to meet future demands [2][21] Economic Growth and Structure - By 2025, China's GDP is projected to reach 140.2 trillion yuan (approximately 19.6 trillion USD), accounting for about 17% of the global economy, with a growth rate of 5% [4][5] - China's per capita GDP is expected to be 13,970 USD by 2025, nearing the high-income country threshold [9] - The contribution of the tertiary sector to GDP has reached a new high, with significant growth in modern service industries [9][15] Consumption Trends - Final consumption expenditure is projected to contribute 52% to GDP growth in 2025, indicating a shift towards consumer-driven growth [10][16] - The consumption market is expanding, with a focus on service and interest-based consumption, reflecting changing consumer preferences [15][19] - Policies aimed at boosting consumption are evolving from single-item incentives to comprehensive strategies that enhance income expectations and consumer environments [16][47] Infrastructure and Technology - China has a robust infrastructure, with the largest energy infrastructure globally and a rapidly growing digital economy, positioning itself as a leader in AI computing power [21][22] - The manufacturing sector remains dominant, with a projected industrial value added of 41.7 trillion yuan by 2025, maintaining its status as the world's largest manufacturing economy [22][23] Real Estate Market - The real estate sector is experiencing a bifurcation, with policies aimed at stabilizing the market and promoting urban renewal [29][30] - The urbanization rate is expected to reach 67.89% by 2025, indicating ongoing growth potential in urban development [31] Talent and Innovation - The demographic dividend is shifting towards a talent and engineering dividend, with a focus on innovation and high-quality development [34][35] - R&D investment is increasing, with a projected ratio of R&D expenditure to GDP reaching 2.8% by 2025, surpassing the OECD average [25] Policy Measures - Fiscal policies are becoming more proactive, with an emphasis on expanding domestic demand and optimizing economic structure through targeted investments [44][45] - Monetary policy is adopting a dual approach of overall easing and structural tools to support innovation and consumption [48][49]

Core Insights - The cryptocurrency market is evolving into a high-speed experimental platform for developers optimizing next-generation predictive models, leveraging real-time data streams and decentralized platforms [2] - Machine learning technologies, particularly Long Short-Term Memory (LSTM) networks, are widely applied to interpret market behavior, offering greater flexibility in volatile markets compared to traditional analysis techniques [3] - The transparency of blockchain data provides an unprecedented level of data granularity, enabling real-time causal analysis and transforming the blockchain ecosystem into a real-time validation environment [4] Machine Learning Applications - LSTM networks can identify long-term market patterns and are more adaptable in volatile markets than traditional analytical methods [3][7] - Hybrid models combining LSTM with attention mechanisms have improved the extraction of significant signals from market noise, analyzing both structured price data and unstructured data [3] - The introduction of natural language processing allows for the interpretation of news flows and social media activity, shifting predictions from historical price patterns to behavioral changes among global participants [3] Blockchain Data Advantages - Blockchain's transparency allows for traceable transactions, facilitating instantaneous causal analysis [4][8] - The emergence of autonomous AI agents is changing how such data is utilized, with dedicated platforms being developed to support decentralized processing across networks [4] - This transformation enables a feedback loop between data ingestion and model optimization to occur almost instantaneously [4] Decentralized Infrastructure Development - The need for substantial computational power to train complex predictive models has led to the development of Decentralized Physical Infrastructure Networks (DePIN), reducing reliance on cloud infrastructure [5] - Small research teams can now access computational capabilities that were previously beyond their budget, making it easier and faster to run experiments across different model designs [5] - A report from January 2025 indicates strong growth in the market value of assets related to AI agents due to increasing demand for such intelligent infrastructure [5] Challenges and Future Outlook - Despite rapid advancements, challenges remain, including the phenomenon of "hallucination" in models, where patterns identified do not correspond to the underlying causes [6] - Scalability is a critical requirement as the number of interactions between autonomous agents increases, necessitating efficient management of growing transaction volumes without delays or data loss [6] - By the end of 2024, optimal scalability solutions are expected to handle millions of transactions daily, laying the groundwork for a robust ecosystem that integrates data, intelligence, and validation for more reliable predictions and enhanced governance [6]

Core Viewpoint - Guangdong aims to establish two funds as patient, professional, targeted, and benchmark funds to support innovation and investment in key industries [1][2] Group 1: Fund Overview - The first fund is the Guangdong-Hong Kong-Macao Greater Bay Area Venture Capital Guidance Fund, with a total scale exceeding 50 billion yuan, set to operate by the end of 2025 [1] - The second fund is the Guangdong Strategic Emerging Industries Investment Guidance Fund, initiated by the Guangdong Development and Reform Commission and the Finance Department, with a total scale of 100 billion yuan and an initial registered capital of 50 billion yuan [1] Group 2: Investment Focus - The Guangdong-Hong Kong-Macao Fund has a 20-year lifespan, including a 10-year investment period and a 10-year exit period, focusing on early-stage projects in fields such as integrated circuits, artificial intelligence, and aerospace [1] - The Guidance Fund will primarily invest in the transformation and upgrading of traditional industries, as well as the cultivation of emerging and future industries in Guangdong [1] Group 3: Management and Operational Mechanisms - The management mechanism for the two funds will be optimized, incorporating innovative measures such as differentiated assessments and classified exits to enhance investment enthusiasm and innovation [2] - The Guangdong-Hong Kong-Macao Fund has already signed agreements for 10 sub-funds, while the first 10 billion yuan of the Guidance Fund's registered capital has been paid in [2]

Investment Rating - The investment rating for the AI hardware sector is maintained as "Buy" for key companies including Weike Technology, Nengke Technology, Hehe Information, and Maixinlin [9][65]. Core Insights - The report highlights the launch of ByteDance's Seedance2.0, a significant advancement in AI video generation, which enhances creative control for users and marks a new phase in AI video development [16][25][32]. - Anthropic's release of ClaudeOpus4.6 demonstrates improved capabilities in programming tasks and self-correction mechanisms, supporting up to 1 million tokens in context, thus expanding its operational boundaries [35][36]. - Google's financial performance shows robust growth, with Q4 2025 revenue reaching $113.83 billion, a 18% year-on-year increase, and cloud revenue growing by 48% to $17.664 billion [5][63]. Summary by Sections Computing Power Dynamics - The rental prices for computing power remain stable, with notable advancements from ByteDance's Seedance2.0, which introduces director-level video creation capabilities [23][25]. - Token consumption data indicates a weekly increase, with a total of 9.81 trillion tokens consumed, reflecting a 20.22% week-on-week rise [16][17]. AI Application Dynamics - Kimi's weekly traffic increased by 23.49%, indicating strong user engagement [33]. - ClaudeOpus4.6's release is expected to reshape office productivity, integrating deeply with tools like Excel and PowerPoint [45][50]. AI Financing Trends - Fundamental Technologies completed a $255 million financing round, achieving a valuation of $1.2 billion, aimed at expanding computational infrastructure and product deployment [52][54]. Market Performance Review - The AI application index and AI computing power index showed fluctuations, with notable gains and losses among various companies in the sector [57][58]. Investment Recommendations - The report suggests a focus on companies like Maixinlin, Weike Technology, Hehe Information, and Nengke Technology, which are positioned to benefit from the expanding AI infrastructure and applications [64].

2026 年的春节，注定是字节跳动的 AI 秀场。 2 月 10 日，字节旗下豆包正式官宣 "豆包过年" 新春活动，活动期间将为用户发放新春红包。此外，除 夕夜的中央广播电视总台 2026 年春晚期间，豆包还将为全国观众送出超过 10 万份接入豆包大模型的科 技好礼，以及现金红包。 据介绍，今年的豆包新春活动分为两个阶段。第一阶段将于2月13日20点正式启动，用户可进入豆包 App新春活动页面，体验AI生成拜年祝福等AI过年玩法，即可参与抽奖赢取红包，中奖后可提现。 2月16日除夕夜，豆包将在中央广播电视总台春晚期间，配合直播互动，开启第二阶段红包及科技礼包 抽奖。当晚，用户将有三轮机会赢取最高8888元的现金红包或接入豆包大模型的智能科技好礼。 据了解，此次豆包送出的"科技礼包"囊括17款热门产品，包括宇树机器人、拓竹3D打印机、大疆无人 机等前沿科技产品，也有极米投影仪、苏泊尔电饭煲等智能消费品，同时，科技好礼中还涵盖上汽奥迪 E5 Sportback和奔驰CLA两款电车使用权。 值得注意的是，此次所有科技奖品均由火山引擎深度融合豆包大模型能力，实现 AI 技术的实体化赋 能。其中，宇树机器人的拟人音色与 ...

格隆汇2月10日丨中国城市基础设施(02349.HK)宣布，于2026年2月10日，买方深圳华峰基础设施投资有 限公司(公司的全资附属公司)与卖方前海结算股份有限公司订立买卖协议，据此，买方有条件地同意购 入及卖方有条件地同意出售待售股份(深圳市智联飞创科技有限公司60%股权)，代价为330万港元，将由 向卖方或其提名人发行本金额为330万港元之可换股债券支付。 集团主要于中国从事物业开发、物业投资及物业管理业务。目标公司主要业务为聚焦AI人工智能技术 与软件即服务工具的深度融合，为各类组织提供高效智慧的决策支援与商业赋能。扩展新业务可以帮助 集团分散风险、开拓新市场、增加收入来源、提升企业韧性与创新力。公司将考虑发行购股权，以鼓励 员工和管理层积极改善集团和目标公司的营运和财务表现。 ...

Core Insights - The competitive landscape of China's AI market has shifted from over 200 developers to less than 10, creating a dual-track competition between tech giants and independent pioneers [1] - JPMorgan has initiated coverage on two key players, Zhipu and MiniMax, both of which are positioned to capitalize on the next wave of global AI value creation [1] Industry Changes - The transformation in the AI industry is characterized by a shift from parameter scale to model performance, commercialization efficiency, and global adaptability as key survival factors [1] - The current competition is marked by tech giants like Tencent and Alibaba leveraging scale and data advantages, while independent firms like Zhipu and MiniMax focus on technological agility and innovation [1] Zhipu: Industry Benchmark Driven by Technology - Founded in 2019, Zhipu has established a technological barrier centered around its GLM series models, focusing on an enterprise-level MaaS (Model as a Service) model [3] - By the first half of 2025, 85% of Zhipu's revenue is expected to come from localized deployments, with a gross margin of 59.1% [3] - Zhipu's financial forecast indicates a compound annual growth rate (CAGR) of 127% from 2026 to 2030, with profitability expected by 2029 and a target price of HKD 400, representing a potential upside of 44% [3] MiniMax: Builder of a Global Multimodal AI Ecosystem - Established in late 2021, MiniMax has a "born global" strategy, creating a comprehensive multimodal model covering text, voice, video, and music [4] - By the first three quarters of 2025, overseas revenue is projected to account for 73.1% of MiniMax's total, with significant contributions from the U.S. and Singapore [4] - MiniMax's financial outlook suggests a CAGR of 138% from 2026 to 2030, with profitability anticipated by 2029 and a target price of HKD 700, indicating a potential upside of 36% [5] Competitive Dimensions: Technology, Commercialization, and Cost Structure - Zhipu focuses on text models with iterative upgrades, while MiniMax has a comprehensive multimodal approach [6] - Zhipu's revenue structure is heavily weighted towards domestic markets (88%), whereas MiniMax has a balanced international presence [6] - Both companies rely on leased computing power, with a significant shift in cost structure expected post-2025, as training costs decrease and inference costs increase [6] API Business as a Core Growth Engine - The profitability of the API business is influenced by unit inference pricing, efficiency, GPU utilization, and regional structure, with MiniMax achieving a higher gross margin of 69.4% in its API business compared to Zhipu [7] - The rise of Zhipu and MiniMax signifies a transformative moment in the Chinese AI market, showcasing the innovative capabilities of Chinese enterprises on a global scale [7]