金鸡湖畔，春潮涌动。苏州工业园区，这片曾经的水塘洼地，如今已成为中国改革开放最具活力的 热土之一。 作为中新两国政府间合作的旗舰项目，园区连续多年在国家级经开区综合考评中位列第一，在国家 级高新区排名中稳居前列，以占苏州3%的土地创造了全市约15%的GDP，成为苏州乃至全国开发区高 质量发展的一面旗帜。 如今，站在"十五五"规划的新起点上，面对全球产业链深度调整与科技革命浪潮，这座"创新之 城、非凡园区"如何再攀高峰？近日，园区党工委副书记、管委会主任卢渊接受苏报采访组采访，描绘 了园区加快建设开放创新的世界一流高科技园区的壮阔蓝图。 卢渊：园区是苏州乃至全国开发区高质量发展的一面旗帜，站在"十五五"新的历史起点，有基础、 有条件、更有责任，当好探路者、先行军、排头兵。我们将锚定"加快建设开放创新的世界一流高科技 园区"总目标，一张蓝图绘到底，一以贯之抓落实，坚定不移推动科技创新和产业创新深度融合，加快 培育发展新质生产力。 三是全面实施"人工智能+"行动。园区7家企业入选苏州人工智能"十小虎"，9款大模型、37个算法 通过国家网信办备案。下一步，我们将抓好人工智能OPC若干措施落地实施，深化模术街区、模术空 ...

Group 1 - A-shares are experiencing a strong performance with multiple sectors showing structural opportunities amid a mild economic recovery and accelerated industrial upgrades [1] - Public fund institutions are optimistic about sectors such as artificial intelligence, semiconductors, and consumer goods, indicating potential investment opportunities [1][4] - The market is expected to maintain a bullish trend, driven by cyclical price increases and the expansion of AI-related activities [3] Group 2 - Incremental capital inflow into the A-share market is anticipated, supported by manufacturing investment and capital expenditure from listed companies [2] - The macroeconomic environment is favorable, with long-term planning providing ample policy space and external uncertainties easing [3] - The AI sector is a focal point for public fund strategies, with expectations of significant growth in annual recurring revenue from AI applications [4] Group 3 - The semiconductor industry is expected to see rapid changes driven by AI developments, with a focus on individual stock performance and industry trends [4] - The consumer sector is at a critical turning point, with potential for investment opportunities as consumer demand shifts towards high-end products and services [4] - Cyclical industries are highlighted as key investment narratives for 2026, with a shift from being price takers to value creators in the manufacturing sector [5]

2月24日,备受瞩目的开局之年"新春第一会"——广东省高质量发展大会在广州举行。 佳都科技集团董事长兼执行总裁陈娇在参会后表示，参与本次大会最大的收获是"方向更明、底气更 足"。今年大会聚焦"制造业与服务业协同发展"，这与其正在做的事高度契合。佳都科技作为AI+交通的 领军企业，本身就是"制造+服务"的融合体——既有智能硬件制造，更有算法、运维等软件服务。会上 释放的"两业融合"政策信号，让佳都科技更加坚信：通过AI赋能，把传统的交通基建升级为智能化的出 行服务，这条路走对了，而且越走越宽。 在陈娇看来，制造业与服务业协同发展，不是简单的"1+1"，而是"你中有我、我中有你"的深度融合。 制造业是"骨"，服务业是"翼"——制造业为服务业提供广阔的应用场景，服务业则为制造业插上高附加 值的翅膀。对佳都科技而言，公司既是制造业企业（生产智能终端设备），又是服务业企业（提供算 法、运维、数据服务）。这种"两业融合"，正是佳都科技一直在实践的路径。 陈娇直言，两业协同落地后，这给企业带来的成效非常显著。一是市场拓展，截至目前，佳都科技的智 慧地铁创新成果已应用在全国超45个城市、150多条线路、3500座地铁车站，服 ...

日前，南京宣布软件和信息服务业成为该市首个万亿级产业。作为南京软件产业的核心承载区，拥有中国软件谷的南京市 雨花台区贡献了3500亿元产值，占南京市约35%、江苏省近20%。 站上"万亿"后，南京软件产业把下一站目标锚定在"人工智能+"赛道上。1月27日，在南京市雨花台区召开的人工智能产业 发展大会上，雨花台区人工智能发展局揭牌成立。这是江苏首家列入政府机构序列、配备专门行政编制的区级人工智能主 管部门，走在了全国前列。 优化生态：设立"AI资源超市" 发放"算力券""模型券" 从"给优惠"转向"营生态"，雨花台区新的一年还精心构建起软件产业与人工智能+相结合的全链条服务体系。该区人工智能 发展局成立之初就开展资源整合和普惠机制，设立"AI资源超市"，创造普惠算力与合规数据供给；设计"算力券""模型 券"，降低人工智能训练和推理成本；成立场景公司，计划全年开放场景不少于30个，推动AI进一步走向可用、好用。 揭牌现场 体制护航：突出优势 深耕"人工智能+"赛道 "在这片仅占南京2%的土地上，活跃着4900多家软件企业、37万软件从业人员。"1月27日的揭牌仪式上，南京市雨花台区 委书记、中国（南京）软件谷党工 ...

叶世阳建议，优化海南商业航天产业投融资环境，尽快建立多元资金渠道，涵盖政府引导基金、社会资 本股权融资资金、商业银行的贷款资金和政策银行的贷款资金等。加大精准政策支持力度，包括对卫 星、火箭、发射、测控、数据等全产业链企业的支持力度，以加快产业聚集，尽快形成海南商业航天产 业协同发展格局。 2026年，文昌航天超算中心将投资15亿元，全面围绕航天数据、算力、算法开展攻关工作。 省人大代表，海南现代科技集团有限公司执行总裁，文昌航天超算智慧科技有限公司董事长叶世阳介 绍，文昌航天超算中心充分发挥海南自由贸易港国际数据跨境安全有序流动政策，和文昌国际航天城商 业航天促进政策的叠加优势，全力打造航天数据产业链。 目前，文昌超算1号、2号、3号卫星并网吉林一号星座高效运行，13座卫星地面站投入使用。建成海南 国际数据加工贸易区，实现航天数据加工贸易出口常态化运营，赋能海南数商企业发展。建成海南智算 创新发展研究院，引进21名专家院士，围绕航天数据的存算关键技术开展研究，相关成果获得海南省科 技进步奖。 ...

Core Insights - The job market is experiencing structural changes driven by the development of new productive forces, with significant increases in demand for high-end equipment and modern service industries in Q4 2025 [1][2][4][6][7] Group 1: Job Market Trends - In Q4 2025, the average monthly salary for algorithm engineers is approximately 25,236 yuan, with job demand surging by 110% [2][4] - The demand for drone engineers has increased by nearly 60% year-on-year, with an average monthly salary of about 16,600 yuan [7] - The robotics industry has seen a 60% increase in demand for engineers, with specific roles like robot debugging engineers growing by 64.1% [4][5] Group 2: Sector-Specific Insights - The new generation of information technology is expanding rapidly, with job postings in artificial intelligence increasing by 19% and smart hardware by 11.5% [2][3] - The modern service industry, particularly online life services (O2O), has shown a remarkable growth rate of 62.7% in job postings [1] - The new materials sector has experienced a 28.1% increase in recruitment demand, with high polymer materials engineers earning an average salary of around 16,600 yuan [6] Group 3: Regional Demand - Beijing, Shenzhen, and Hangzhou are the top three cities for talent demand in the new generation of information technology, collectively accounting for over 20% of job postings [3] - Suzhou has emerged as the city with the highest demand for high-end equipment talent, followed by Shenzhen, Shanghai, Tianjin, and Wuxi [5] Group 4: Salary and Skill Requirements - The average monthly salary for robot algorithm positions is 24,426 yuan, with a year-on-year demand increase of 30.7% [2] - Positions in the aerospace sector, such as navigation algorithm engineers, have an average salary of approximately 26,000 yuan, reflecting high demand for skilled professionals [6][7] - The average salary for mechanical engineers and mechanical structure engineers is around 12,784 yuan and 13,729 yuan, respectively, indicating a trend of increasing quality in talent demand [5]

Core Concept - The essence of capital has transformed in the digital age, shifting from material assets to data, algorithms, and computing power, fundamentally altering the relationships between capital and labor, as well as platforms and users [1] Theoretical Foundation - Marx's analysis of capital emphasizes that it is not merely a physical entity but a dynamic social relationship, highlighting the historical and power dynamics inherent in capital [2][3] - Capital is defined as a social production relationship, which only becomes capital when integrated into specific social relations, such as capitalist private ownership [2] Upgrades in Capital Relationships in the Digital Age - The development of digital technology has led to a threefold upgrade in capital relationships regarding control scope, methods, and forms of exploitation [4] - The traditional labor-capital dichotomy has evolved into a more complex triadic structure involving platforms, algorithms, and users, where users often play dual roles as both consumers and producers [5][7] Algorithmic Control and Exploitation - Control over labor has transitioned from factory discipline to algorithmic dominance, enabling real-time monitoring and optimization of worker performance [8][9] - Exploitation has become more subtle, extending beyond labor time to encompass the collection and commodification of user behavior data [10] Data Monopoly and Digital Feudalism - The concentration of power and wealth among a few platform giants has led to a new social structure termed "digital feudalism," where 1% of entities control 85% of digital assets [11][12] - This data monopoly creates high market barriers and transforms economic power into a broader social control mechanism, influencing information flow and societal norms [13][14] China's Exploratory Practices - China is exploring governance practices aimed at reconstructing production relationships and addressing the alienation caused by digital capital relationships [15] - Innovations such as mixed-ownership reforms and data rights systems are being implemented to create a community of interests among stakeholders [15][16]

Core Viewpoint - The regulatory actions surrounding Meta's acquisition of Manus reflect deeper policy corrections and compliance issues in the context of international technology cooperation and investment [1][2]. Group 1: Acquisition Details - Meta's acquisition of Manus is its third-largest acquisition, focusing on talent acquisition, and is expected to enhance its capabilities in AI following Manus's rapid rise with its general AI agent [1]. - Manus's annual revenue surpassed $125 million within eight months of launching its AI agent, leading to a valuation increase to $2 billion [1]. Group 2: Regulatory Concerns - The Chinese Ministry of Commerce announced on January 8, 2026, that it would evaluate the compliance of the acquisition with export control and technology transfer regulations, introducing uncertainty into the transaction [2]. - The evaluation will focus on whether any technology transfer from Manus to Meta violates Chinese laws, particularly concerning the export of restricted technologies [2][3]. Group 3: Technology Export Control - The key legal framework for technology export control includes the "Regulations on the Administration of Technology Import and Export" and the updated "Catalog of Technologies Prohibited or Restricted from Export" [3]. - There is a risk that Manus's core AI technology, developed in China, could be transferred to foreign entities without the necessary export licenses, potentially violating regulations [3]. Group 4: Data Compliance Issues - Data export compliance requires that Manus undergo safety assessments when transferring important data or personal information to Meta, especially given the scale of data used in training its AI products [4]. - The compliance framework is governed by laws such as the "Personal Information Protection Law" and the "Data Security Law," which mandate safety assessments for significant data transfers [4]. Group 5: Investment and Merger Regulations - The acquisition also involves compliance with the "Overseas Investment Management Measures" and may require prior notification under the "Anti-Monopoly Law" if it constitutes a concentration of operators [5]. Group 6: Market Reactions and Risks - Manus's decision to exit the Chinese market and relocate to Singapore was influenced by regulatory scrutiny from the U.S. Treasury, highlighting the legal compliance risks associated with its high-profile marketing strategies [6][7]. - The move to Singapore may not alleviate concerns regarding U.S. control over the company, and it could trigger regulatory actions from Chinese authorities [7]. Group 7: Implications for AI Entrepreneurs - The Manus case serves as a cautionary tale for AI entrepreneurs regarding the importance of understanding domestic regulatory frameworks and managing public relations effectively [8]. - Entrepreneurs are advised to maintain independent judgment and not solely rely on investors or legal counsel in navigating complex regulatory landscapes [8].

Group 1 - The year 2025 is referred to as the "Year of Algorithm Transparency," where various platforms like short video, food delivery, ride-hailing, and freight services have begun to disclose their algorithm models and principles to address public concerns [1][2] - Algorithm transparency is seen as a foundation for public trust in artificial intelligence, emphasizing the need for algorithms to be subject to public oversight and to serve social governance [1][2] - The proactive disclosure of algorithms by internet platforms, such as Douyin and Huolala, aims to enhance user understanding and interaction, thereby promoting healthy industry development [2] Group 2 - The push for algorithm transparency is a significant aspect of China's efforts to balance network governance and development, with clear compliance guidelines established to foster a healthy and transparent online information ecosystem [2] - Challenges in algorithm governance and transparency are acknowledged globally, including technical complexity, balancing commercial interests, and the need for improved legal frameworks [2][3] - The current state of algorithm governance is viewed as just the beginning, with a clear direction towards promoting technology for good [3]

Core Insights - In 2025, InSai Group faced significant external challenges, including geopolitical instability and increased competition in the marketing services industry, yet the company remained committed to its strategic initiatives [1] - The company has set clear development strategies for 2026, focusing on breakthroughs in AI technology, brand marketing capabilities, and operational efficiency [1] Group 1 - The chairman highlighted the company's achievements in 2025, emphasizing the importance of maintaining a professional position and deepening industry services despite external pressures [1] - The company aims to deepen AI technology empowerment and construct a new paradigm of "Smart X Intelligence" in 2026 [1] - The company plans to enhance its brand marketing service capabilities and establish a more compliant and efficient management and internal control system [1] Group 2 - The CTO reported on the company's accomplishments in AI large models, including the completion of dual filing for the "Marketing Large Model" and "Algorithm," making it a pioneer in the advertising marketing sector [2] - The company has developed a "1+3" technology implementation model to support continuous evolution in three key areas: "Product, Effect, Sales" [2] - For 2026, the company aims for a 30% increase in employee efficiency through its AI engine, over 100 million in additional revenue through its AI tools, and to acquire over 100,000 new paying users [2]