近日，由中国高技术产业发展促进会主办的" 2025 AI智能体赋能产业增长暨创新创业发展峰会 "在杭州隆重召开。 未可知人工智能研究院院长 杜雨博士 受邀出席大会，并发表题为《 AI产业革命与具身智能崛起 》的主旨演讲，深入剖析人工智能产业趋势，分享前沿 研究成果，引发广泛关注与热议。 AI产业革命进行时 中国AI进入2.5阶段 杜雨博士指出，中国AI产业正经历第三次发展浪潮。 继"AI四小龙"和"AI六小虎"之后，以 DeepSeek 为代表的新兴力量推动中国AI进入"2.5阶段"，即 从通用大模型向具身智能、 AI for Science等纵深领 域演进 。 "大语言模型的崛起不仅重塑了AI产业格局，也催生了 具身智能、 AI硬件、AI for Science 等万亿级新赛道。"杜雨博士表示。 具身智能 下一个万亿级赛道 在演讲中，杜雨博士重点分析了 具身智能与人形机器人 的产业机遇。 他指出，随着"中国制造2025"战略推进，智能制造、医疗、服务等领域对 人形机器人 的需求将爆发式增长。 到2030年，全球人形机器人市场有望迎来爆发式拐点。 | | | 非人形机器人 | 人形机器人 | | --- | ...

你有没有发现错，现在用户买东西越来越"懒"？因为AI可以开始自己花钱了！如果你现在对 AI 说"订周末旅行"，它能自己下单支付了。这不是想 象。谷歌刚刚拉上 Visa、PayPal、银联等 60 多家巨头，推出了 AI 代理支付协议 AP2 ——AI 终于有了"数字钱包"，标志着智能体不再只是工具， 而是能替你决策、花钱、办事的虚拟经济代理人。 当用户问AI"夏天油皮适合什么护肤品"时，如果你的品牌没有在AI的回答框架中占据一席之地，就算你的产品再好、天猫店评分再高，也会被直接 跳过。传统SEO优化的那些关键词排名，在AI生成式回答面前，正在变成无效流量。 从"种草"到"下单" AI正在接管消费全链路 以前逛淘宝要翻十几页评价，现在直接问AI"3000元内最值得买的扫地机器人"；过去查旅游攻略要刷几十篇小红书，如今一句"周末带娃去上海玩的 最佳路线"就能得到精准方案。当你的客户开始让AI替自己做决策时，一个残酷的现实正在浮现： 不做 GEO （生成式引擎优化）的品牌，正在被 AI 悄悄拉黑。 当AI从"能干活"进化到"会花钱"，一场静悄悄的商业权力转移已经开始。过去用户买东西要翻评价、刷攻略，现在只需给AI一 ...

近日，由中国高技术产业发展促进会主办的"2025 AI智能体赋能产业增长暨创新创业发展峰会"在杭州隆重召开。未可知人工智能研究院副院长张孜铭 受邀出席大会，并发表题为 《AI重构商业：企业智能化转型路径与案例》 的主旨演讲，系统阐释人工智能如何重塑企业运营与商业模式，分享前沿企 业实战案例与方法论，引发与会者的高度关注与热烈反响。 AI产业革命进行时 企业智能化转型已成必然 张孜铭副院长在演讲中指出，全球人工智能发展已进入深水区， AI不再仅是技术工具，更是企业战略的核心组成部分 。他引用多项调研数据强调，"不 用AI的企业将在3年内被迅速淘汰"，目前85%的中国企业正加速投入AI领域，63%以上的企业已在积极使用生成式AI。 张孜铭深入剖析了 AI在"降本"方面的巨大潜力 。他通过某头部能源公司研发人员五年增长案例和AI绘画巨头Midjourney仅11人团队实现1亿美元年营 收的典型案例，说明AI应用可带来"压倒性的人效优势"。同时，AI正在重塑岗位技能需求，从传统技术技能、手工技能到高级认知与社会情感技能， 企业需重新定义人才结构 。 增收创新 AI广告与GEO开辟增长新赛道 在"增收"层面，张孜铭重点 ...

凌晨两点的写字楼还亮着三分之一的灯，你对着屏幕里闪烁的光标发呆，刚改完第三版的PPT被老板打回，理由是"不够有创意"。 手机弹出银行扣款提醒，房贷、车贷、孩子的早教费像三座大山压得你喘不过气。 你安慰自己"忍忍就好，这份工作至少稳定"——但你不知道的是， 你赖以生存的 " 稳定 " ，正被 AI 悄无声息地拆解得支离破碎 。 我们总以为公司制是永恒的真理，是社会运行的基石。但翻开历史才发现， 这个让我们耗尽半生追求 " 归属感 " 的组织形态，不过是工业革命催生的 " 临时产物 " 。 从蒸汽机轰鸣的18世纪到数字浪潮席卷的今天，它的寿命满打满算也只有 两三百年 。 而现在，AI正用效率的利刃，刺穿它存在的最后一个理由。 公司制的黄昏 当效率神话走向终结 公司制诞生的初心很简单： 用组织的规模化换取生产的高效率 。 就像工厂里的流水线，把人变成标准化的零件，各司其职、协同运转，才能在最短时间内造出最多的商品。 为了维持这种效率，我们发明了"员工""部门""层级"这些分类，把复杂的人类活动框进一个个规整的格子里。 但AI的出现，让这套逻辑彻底失效了。 当GPT-4能在10分钟内完成一个团队一周的文案工作，当AI ...

景德镇鸡排哥的爆火，给所有营销人上了一堂" 流量觉醒课 "—— 他靠"痛苦面具炸鸡排"8天涨粉8.8万 ， 连 AI 都追着给他喂流量 ；而拿着百万预算的营销人，却还在为搜索结果排不上首页发愁。 更气人的是，他的"三秒递鸡排法"被AI拆成服务案例，"炸不好就砸锅"的碎碎念成了AI推荐金句，而我们花300万拍的品牌故事，AI连看都不看一眼。 原来不是我们不会做营销，是我们没搞懂： 2025年的流量，早被AI按"能不能拆"的标准重新分配了。 其实他能火，不是运气好，而是无意间踩中了生成式引擎优化（GEO）的3个核心真相。这3个真相，决定着2025年你的营销预算能不能花在刀刃上。 今天这篇，所有还在为流量焦虑的营销人，建议认真读到最后。 一、鸡排哥的"流量密码" 藏在生成式引擎的算法里 很多品牌学鸡排哥，只看到了"碎碎念金句""学生优惠"，却没看懂他无意间踩中的GEO（Generative Engine Optimization）三大红利： • 情绪标签自动化抓取 ："炸不到位无法原谅自己"的匠人语录，被AI自动归类为"责任感""幽默"标签，当用户搜索"有态度的小吃摊"时优先推荐； • 流程场景化拆解 ："三秒递鸡 ...

Core Insights - The article emphasizes that the ultimate battleground in the internet industry is not content but the ownership of social relationship chains, as demonstrated by OpenAI's Sora2 and its viral growth through an invitation mechanism [2][4][12]. Group 1: Sora2's Nature and Social Ambitions - Sora2 is not merely an AI tool for video generation but a social relationship harvesting machine, leveraging its viral spread to build a social graph [6][8]. - The "invite one, share four" mechanism of Sora2 mirrors the early strategies of WeChat, highlighting the importance of social connections over mere functionality [4][13]. - The data collected on social relationships, such as who invites whom, is more valuable than the technology itself, indicating a shift towards social capital accumulation [9][12]. Group 2: Tencent's Competitive Advantage - Tencent's success is attributed to its robust social relationship chain, with WeChat's 900 million daily active users forming a deep-rooted social network [14][21]. - The migration of QQ relationships to WeChat was crucial for its rapid user growth, demonstrating the resistance users have to adopting new social platforms without their existing connections [15][16]. - Tencent's various successful features, such as WeChat red envelopes and mini-programs, are fundamentally empowered by its social relationship chain, contrasting with ByteDance's reliance on algorithm-driven content [17][21]. Group 3: ByteDance's Challenges - ByteDance's heavy dependence on short video content has created vulnerabilities, as it lacks the social connections that keep users engaged long-term [22][24]. - Despite numerous attempts to create social products, ByteDance has struggled to establish meaningful user interactions, leading to rapid declines in user engagement [25][27]. - The competition in the e-commerce space is fundamentally different from social platforms, where users are less likely to switch due to price alone, as seen with WeChat's enduring user base [28][29]. Group 4: The Impact of AI on Social Dynamics - The emergence of Sora2 intensifies ByteDance's anxieties, as it introduces a new social interaction model that combines AI with user collaboration [30][31]. - Tencent is proactively developing a social video generation platform that leverages its existing relationship chains, positioning itself advantageously in the AI social landscape [32][33]. - The article concludes that while content forms may evolve, the essence of social connections remains constant, and those who control the relationship chains will dominate the future [34][43].

技术的发展总是以指数级速度前进，而人类的认知往往停留在线性思维中 。 —— 凯文 ・ 凯利 2016年我还在红杉资本工作时，记得一位合伙人说过一句话：" 用户的眼睛往哪看，钱就该往哪投 ，哪怕眼下的商业模式还不清晰。" 当时头部资本都果断押注抖音、快手，正是因为看到大家刷公众号、微博的时间越来越少，捧着手机刷短视频的时间越来越长——图文向视频的转 型，就像当年短信被微信取代一样不可逆转。 可现在OpenAI推出的Sora2，让我有种似曾相识的感觉：这哪里是简单的转型？这分明是要把整个短视频行业的"老玩法"彻底推翻重建， 一场不留 情面的行业洗牌，已经近在眼前 。 现在很多人还在纠结Sora2生成的视频里，水滴溅落的样子有多真实，小狗跑起来的毛发有多自然，却没看透最核心的变化： 普通人做视频的门槛， 突然从 " 会拍会剪 " 降到了 " 会说话 " 。 我在腾讯支持内容生态业务的时候，当时行业里还流行把内容创作分两种：UGC（用户自己拍的）和PGC（专业团队做的）。 可 Sora2 一出来，这 两种分类瞬间就过时了 。 你想想，以前拍一条"穿越到侏罗纪"的视频，得租恐龙道具、找绿幕场地、花几天剪辑，普通人根本做 ...

当你的品牌花了大价钱做 GEO（生成式引擎优化），看着关键词从 "查无此人" 冲到首页，以为终于能躺着等客户上门时，可能没意识到： 一场悄无 声息的 "流量流失战" 已经打响。 如今，越来越多品牌扎堆涌入生成式引擎赛道，试图靠 GEO 抢占 AI 推荐位、收割精准客源。但我们未可知人工智能研究院团队服务过近百家品牌后 发现一个残酷真相： 70% 的品牌 GEO 优化 "昙花一现"，排名上去没几天就断崖式下跌，投入的成本直接打水漂；剩下 20% 的品牌勉强维持排 名，却始终无法突破流量瓶颈，眼睁睁看着竞品把客户抢走 。 为什么会这样？核心问题往往出在一个认知误区上：把 GEO 当成 "一锤子买卖"，觉得 " 优化上去就万事大吉 "。今天，我们就来拆解这个让无数品 牌栽跟头的坑，告诉你如何让 GEO 效果 "稳如泰山"，真正把 AI 流量变成源源不断的订单。 1. 生成式引擎的 "淘汰机制"，比你想象中更残酷 生成式引擎（如 ChatGPT 插件推荐、AI 搜索结果排序等）的推荐算法，核心目标是 "给用户最贴合需求的答案"。这个 "贴合度" 不是固定不变的， 而是由三个维度实时决定： · 用户行为反馈 ：如果你的 ...

Core Viewpoint - The article discusses the evolving landscape of trade shows, emphasizing the importance of utilizing robots effectively to enhance audience engagement and lead conversion, rather than merely showcasing expensive robotic toys [2][10]. Group 1: Challenges Faced by Exhibitors - Many exhibitors are investing in robots without understanding their operational capabilities, leading to disappointment when these robots fail to perform as expected [5][6]. - A significant percentage of robot rental companies only provide display services, resulting in a lack of valuable data on potential customers [8][9]. - The International Exhibition Association (UFI) reports that booths using inappropriate robotic solutions can experience 40% more ineffective traffic compared to traditional setups [9]. Group 2: Successful Strategies - Successful exhibitors are adopting a comprehensive approach by integrating hardware, scenarios, and data collection, which significantly improves lead quality and engagement [11][12]. - A case study of a car brand demonstrated that using a combination of 3D holographic projection and emotion-recognition robots led to a threefold increase in quality leads and won an award for best technology application [11][12]. Group 3: Solutions Offered - The article introduces a packaged solution for trade show robots, which includes direct access to discounted prices from leading manufacturers and tailored interactive logic based on industry characteristics [16][20]. - The solution also provides full technical support throughout the event, ensuring that robots remain operational and effective in engaging attendees [20][22]. - A recent implementation for a home appliance company showcased the effectiveness of this approach, resulting in over 200 valid customer contacts, with 30% scheduling follow-up demonstrations [24]. Group 4: Conclusion - The essence of attracting attendees at trade shows lies not in the cost of the robots but in the ability to leverage technology to address specific challenges [26][27].

Core Viewpoint - The article argues that AI is not the primary cause of unemployment but rather a catalyst for the decline of the traditional corporate work structure, which is no longer suitable for modern productivity demands [3][4][24]. Group 1: Unemployment and AI - In August, the unemployment rate for urban labor aged 16-24 reached 18.9%, the highest since records began [1]. - A U.S. research institution predicts that by 2030, AI will replace 92 million jobs while creating 170 million new ones, indicating a net increase in job opportunities, but the new jobs are not reflected in current corporate hiring practices [3][4]. Group 2: The Flaws of the Corporate Work Structure - The traditional corporate structure is likened to an outdated vehicle that cannot adapt to modern advancements like AI, which increases individual productivity [6][9]. - The article identifies three main issues with the corporate work structure: 1. **Talent Slavery**: Employees essentially sell their time to companies without corresponding increases in compensation despite productivity gains from AI [10][11]. 2. **Departmental Silos**: The hierarchical structure leads to inefficiencies and inter-departmental conflicts, hindering productivity [13][14]. 3. **Gig Economy**: The rise of flexible employment shows that many prefer autonomy over traditional job security, challenging the corporate model [15][16][19]. Group 3: The Future of Work - The article suggests that the future work model will involve individuals leveraging AI tools and collaborative networks, moving away from traditional employment roles [22][24]. - It emphasizes the importance of individuals transitioning from being "company employees" to "independent entities" who can utilize AI as a partner rather than a competitor [21][24]. - The narrative concludes that the current unemployment situation is not a dead end but a starting point for redefining work in the age of AI [25].