以下文章来源于酷玩实验室 ，作者酷玩实验室 酷玩实验室 . 关注中国科技发展与产业升级！ 新一届带娃神器。 来源/酷玩实验室 (ID：coollabs) 几 十 年 前 ， 奥 威 尔 在 《 1 9 8 4 》 中 描 绘 过 这 样 一 个 场 景 ： 一 个 被 电 屏 包 围 的 社 会 ， 人 们 的一举一动都会被监视。 人人谨言慎行，不表现出任何喜怒哀乐，因为"老大哥正在看着你"。 读者们把它当作一种极端的想象，是反乌托邦文学里才会出现的剧情。毕竟技术也没那 么发达，挨家挨户装电子监控挺贵的。 如 今 ， AI 让 当 年 的 科 幻 小 说 成 了 家 长 的 带 娃 神 器 ： 手 机 一 架 ， 豆 包 上 线 ， 家 长 瞬 间 变 身老大哥。 第一批被AI统治的倒霉蛋出现了！ AI带娃，不费妈 不知道哪位天才家长想出的邪修带娃方法——给豆包打视频，让它监督小孩写作业。 指令很简单：豆包，请帮我看娃，在他不认真或者坐姿不正确时提醒他。 AI 家 教 就 此 上 岗 ： 小 朋 友 ， 别 玩 笔 了 ， 专 心 写 作 业 ， 写 完 就 能 玩 了 ； 小 朋 友 ， 现 在 坐 姿有点 ...

《白皮书》认为，今年，全球人工智能发展正从单点技术突破向生态协同创新加速演进，逐渐形成"战 略主导、技术竞速、规模扩张、应用拓展、生态竞合"的发展格局。 北京人工智能产业规模量质齐升。《白皮书》显示，截至目前，北京AI企业超2500家，已备案大模型 183款，持续保持全国第一，产业链日趋完整，形成了具有全球竞争力的产业生态。同时，商业化路径 也逐渐清晰，百度、抖音等公司的营收和产品活跃用户数均创新高。北京正以前所未有的速度，持续建 设"人工智能第一城"。 不断产出处于全球科技前沿的"北京原创"成果，是北京人工智能发展领先全国的动力源。今年，北京各 类创新主体持续产出领先的前沿成果。高校院所方面，原创成果凸显，清华大学戴琼海院士团队、北京 邮电大学徐坤教授团队、中国科学院自动化所李国齐教授团队等陆续取得重大原创性突破。新型研发机 构加速创新，北京智源人工智能研究院发布FlagOS，实现"模芯协同"的纵向贯通；北京通用人工智能研 究院推出"通通2.0"，完成从理论创新到能力验证的重大跨越；北京科学智能研究院发布全球首个覆 盖"读文献—做计算—做实验—多学科协同"的AI科研平台玻尔科研空间站。与此同时，核心企业带动 ...

本报讯（记者孙奇茹）昨天，市科委、中关村管委会发布《北京人工智能产业白皮书（2025）》，数据 显示，今年上半年北京全市人工智能核心产业规模2152.2亿元，同比增长25.3%。初步估算今年全年， 北京人工智能产业规模有望超过4500亿元。 市科委、中关村管委会相关负责人表示，北京将持续坚持一体推进教育科技人才发展，立足于建设具有 全球影响力的人工智能创新策源地和产业高地，推动科技创新和产业创新深度融合，从强化策源能力、 拓展应用范围、打造产业集群、营造良好环境等方面，加快补齐短板、锻造长板，全面巩固和提升北京 作为"人工智能第一城"的引领地位。 不断产出处于全球科技前沿的"北京原创"成果，是北京人工智能发展领先全国的动力源。今年，北京各 类创新主体持续产出领先的前沿成果。高校院所方面，原创成果凸显，清华大学戴琼海院士团队、北京 邮电大学徐坤教授团队、中国科学院自动化所李国齐教授团队等陆续取得重大原创性突破。新型研发机 构加速创新，北京智源人工智能研究院发布FlagOS，实现"模芯协同"的纵向贯通；北京通用人工智能研 究院推出"通通2.0"，完成从理论创新到能力验证的重大跨越；北京科学智能研究院发布全球首个覆 ...

《白皮书》认为，2025年，全球人工智能发展正从单点技术突破向生态协同创新加速演进，逐渐形 成"战略主导、技术竞速、规模扩张、应用拓展、生态竞合"的发展格局。 不断产出处于全球科技前沿的"北京原创"成果，是北京人工智能发展领先全国的动力源。2025年，北京 各类创新主体持续产出领先的前沿成果。高校院所方面，原创成果凸显，清华大学戴琼海院士团队、北 京邮电大学徐坤教授团队、中国科学院自动化所李国齐教授团队等陆续取得重大原创性突破。新型研发 机构加速创新，北京智源人工智能研究院发布FlagOS，实现"模芯协同"的纵向贯通；北京通用人工智能 研究院推出"通通2.0"，完成从理论创新到能力验证的重大跨越；北京科学智能研究院发布全球首个覆 盖"读文献—做计算—做实验—多学科协同"的AI科研平台玻尔科研空间站。与此同时，核心企业带动作 用显著，豆包、文心一言、GLM、Kimi等模型在权威测评中表现优异，部分成果已达国际顶尖水平。 本报讯（记者 孙奇茹）昨天，市科委、中关村管委会发布《北京人工智能产业白皮书（2025）》，数 据显示，2025年上半年北京全市人工智能核心产业规模2152.2亿元，同比增长25.3%。初步估算 ...

《2025生成式营销产业研究报告：从AIGC到AIGD》由明略科技、复旦大学管理学院与秒针营销科学院联合发布，系统梳理了生成式AI在营销领域的发展脉 络与未来趋势。报告指出，生成式营销正从以"内容生成"为核心的AIGC阶段，迈向以"决策支持"为核心的AIGD新阶段，标志着AI在营销中从"效率工具"升 级为"战略伙伴"。 一、AIGC：营销供给的全面爆发 2025年，生成式AI在营销内容创作方面已趋于成熟。无论是文案、图片、视频还是数字人，AI都能快速生成，极大丰富了营销内容的供给。DeepSeek、 Manus等新锐模型和产品的出现，进一步降低了技术门槛，推动AI从"创意助手"发展为"执行智能体"。 然而，内容供给的爆炸式增长也带来了新问题：企业在海量内容中如何选择最优方案？AI生成的內容存在"幻觉"、偏见等风险，如何确保其真实性与可靠 性？这些问题促使行业思考：AIGC解决了"生产问题"，但未能解决"效果问题"。 二、AIGD：营销决策的系统升级 AIGD（AI-Generated Decision）的提出，正是为了解决AIGC时代的决策困境。它强调将经典营销理论与AI工具结合，构建从"洞察—生成—验证—决 ...

| | | lıtl ByteDance | Tencent | | --- | --- | --- | --- | | | Alibaba | ByteDance | Tencent | | Infrastructure layer | - | VolcanoEngine | | | | Alibaba Cloud | | | | Large model public cloud market share (IDC) | 27.0% | 49.2% | NA | | Al cloud services market share (Omdia) | 35.8% | 14.8% | 7.0% | | FY26E Cloud Revenue (Rmb mn) | 156,388 | NA | 54,746 | | FY26E Cloud Revenue growth % | 33% | NA | 30% | | Capex over next 3 years (Rmb bn, GSe) | 460 | 612 | 346 | | Model layer | | DOUBAO | | | | Open-source ...

Core Viewpoint - The article discusses the competitive landscape of China's AI industry, highlighting the strategic choices of major players like Alibaba, ByteDance, and Tencent as they navigate a battle for capital efficiency, infrastructure dominance, and traffic entry points. Group 1: Alibaba's Strategy - Alibaba is adopting a "full-stack" approach similar to Google's, with a significant capital expenditure increase of 80% year-on-year, reaching 32 billion RMB in the September quarter [2] - The company's cloud revenue grew by 29% year-on-year, with AI-related revenue achieving triple-digit growth for the ninth consecutive quarter, and is expected to accelerate to 38% growth in the December quarter [3] - Alibaba aims to establish a "full-stack" barrier in the AI market, positioning itself as a dominant player through heavy asset investment [4] Group 2: ByteDance's Approach - ByteDance leverages its massive traffic advantage, with a daily token consumption of 30 trillion, approaching Google's 43 trillion, significantly outpacing competitors like Baidu and DeepSeek [7] - The company's app "Doubao" leads in domestic AI application activity, while its overseas education app Gauth saw a 394% year-on-year revenue increase [8] - ByteDance's strategy creates substantial inference demand, allowing it to encroach on traditional cloud giants in the Model as a Service (MaaS) sector, capturing 49.2% of the public cloud market share for large models [11] Group 3: Tencent's Strategy - Tencent maintains a conservative approach, reducing capital expenditures while focusing on seamlessly integrating AI capabilities into its extensive social and payment ecosystem [12][14] - The company has integrated its AI assistant "Yuanbao" into WeChat Pay, enhancing operational efficiency for small and medium-sized businesses [14] - Tencent's strategy emphasizes high implementation certainty despite lower capital expenditure figures compared to competitors [14] Group 4: Competitive Dynamics - The competition between China and the U.S. in AI has entered a "dynamic alternation" phase, with Chinese models rapidly iterating and catching up within 3-6 months after significant advancements in U.S. models [4][17] - Chinese companies exhibit resilience through unique "Chinese speed" and open-source ecosystems, with 80% of AI startups utilizing open-source models [17] - Cost control is a competitive advantage for Chinese models, as seen with Kuaishou's "Kling" video generation model, which offers significantly lower prices than global counterparts [17] Group 5: Valuation Insights - Goldman Sachs analysts assert that the Chinese AI sector is not in a bubble, with projected P/E ratios for Tencent and Alibaba at 21x and 23x for 2026, respectively, lower than those of major U.S. tech companies [18]

Core Insights - The report by Goldman Sachs analyzes the competitive landscape of China's AI industry, focusing on the strategic choices of major players like Alibaba, ByteDance, and Tencent [2][6][18]. Group 1: Alibaba's Strategy - Alibaba is pursuing a "full-stack" approach similar to Google's, with a significant capital expenditure increase of 80% year-on-year, reaching RMB 32 billion [6][7]. - The company aims to build a robust AI infrastructure through vertical integration of "base models + multimodal capabilities," despite challenges in chip supply [6][7]. - Alibaba Cloud's external revenue grew by 29% year-on-year in the September quarter, with AI-related revenue achieving triple-digit growth for nine consecutive quarters [7][8]. Group 2: ByteDance's Approach - ByteDance is leveraging its dominance in consumer applications to enhance its foundational infrastructure, with daily token usage surpassing 30 trillion, approaching Google's 43 trillion [10][14]. - The company's education app Gauth has seen a 394% year-on-year increase in monthly revenue, indicating strong market performance [11]. - ByteDance's Volcano Engine holds a 49.2% market share in the public cloud market for large models, showcasing its competitive edge [14]. Group 3: Tencent's Position - Tencent has adopted a more restrained approach, reducing capital expenditures while focusing on integrating AI capabilities into its extensive social and payment ecosystem [15][17]. - The company has integrated its AI assistant "Yuanbao" into WeChat Pay, enhancing operational efficiency for small and medium-sized businesses [17]. Group 4: US-China AI Competition - The competition between the US and China in AI has entered a "dynamic alternation" phase, with Chinese models expected to rapidly iterate and catch up within 3-6 months following significant advancements in US models [4][19]. - Chinese companies are noted for their resilience and speed, with many leveraging open-source models to enhance their capabilities [19]. Group 5: Valuation Insights - Goldman Sachs indicates that the current state of the Chinese AI sector does not reflect a bubble, with expected P/E ratios for Tencent and Alibaba at 21x and 23x respectively, lower than those of major US tech companies [20].

转自：北京日报客户端 11月29日，市科委、中关村管委会发布《北京人工智能产业白皮书（2025）》，数据显示，2025年上半 年北京全市人工智能核心产业规模2152.2亿元，同比增长25.3%。初步估算2025年全年，北京人工智能 产业规模有望超过4500亿元。 不断产出处于全球科技前沿的"北京原创"成果，是北京人工智能发展领先全国的动力源。2025年，北京 各类创新主体持续产出领先的前沿成果。高校院所方面，原创成果凸显，清华大学戴琼海院士团队、北 京邮电大学徐坤教授团队、中国科学院自动化所李国齐教授团队等陆续取得重大原创性突破。新型研发 机构加速创新，北京智源人工智能研究院发布FlagOS，实现"模芯协同"的纵向贯通；北京通用人工智能 研究院推出"通通2.0"，完成从理论创新到能力验证的重大跨越；北京科学智能院发布全球首个覆盖"读 文献-做计算-做实验-多学科协同"的 AI 科研平台玻尔科研空间站。与此同时，核心企业带动作用显著， 豆包、文心一言、GLM、Kimi等模型在权威测评中表现优异，部分成果已达国际顶尖水平。 《白皮书》认为，2025年，全球人工智能发展正从单点技术突破向生态协同创新加速演进，逐渐形 ...

Core Insights - The report by Goldman Sachs highlights the intense competition in China's AI sector, focusing on the strategic choices of major players like Alibaba, ByteDance, and Tencent, and suggests a new normal of "dynamic alternation" in the US-China AI competition [1][2] Group 1: Alibaba's Strategy - Alibaba is adopting a "full-stack" approach similar to Google's, with a significant increase in capital expenditure, which surged by 80% year-on-year to reach 32 billion RMB in the September quarter [3][4] - The company's cloud revenue grew by 29% year-on-year, with AI-related revenue achieving triple-digit growth for the ninth consecutive quarter, and is expected to accelerate to 38% growth in the December quarter [4][6] Group 2: ByteDance's Approach - ByteDance is leveraging its massive traffic advantage, with a daily token consumption of 30 trillion, approaching Google's 43 trillion, and significantly surpassing competitors like Baidu [9][13] - The company's application "Doubao" leads in domestic AI application activity, while its overseas education app Gauth saw a 394% year-on-year increase in monthly revenue [9][13] Group 3: Tencent's Strategy - Tencent is maintaining a conservative approach, reducing capital expenditure while focusing on seamlessly integrating AI capabilities into its extensive social and payment ecosystem [14][15] - The company has integrated its AI assistant "Yuanbao" into WeChat Pay, enhancing operational efficiency for small and medium-sized businesses [15] Group 4: US-China AI Competition - The report outlines a "dynamic catch-up" cycle in the US-China AI competition, where Chinese models typically follow significant advancements in US models within 3-6 months [16][17] - Chinese companies are noted for their resilience and aggressive cost control, with many leveraging open-source models to enhance their capabilities [17] Group 5: Valuation Insights - Goldman Sachs indicates that the current state of the Chinese AI sector does not reflect a bubble, with projected P/E ratios for Tencent and Alibaba at 21x and 23x respectively, lower than those of major US tech companies [18]