奕然 发自 凹非寺 量子位 | 公众号 QbitAI 好家伙，AI领域独角兽，已经高达498家。 其中100家是在2023年成立，到现在也不到2年。 它们的总估值达到了恐怖的27000亿美元，已经超过谷歌24400亿美元市值。 随之而来的，是数十位新亿万富翁，其中也都是大家熟悉的老面孔了。今天就来盘点盘点都有谁~ 谁是新的亿万富翁 据彭博社估计，四家最大的私营AI公司至少创造了十几位亿万富翁，其总净资产达到380亿美元。自那以后，已有十多家独角兽企业诞生。 先看下亿万富翁总结表。 | 人物名称 | 个人赋历 | 目前所在公司 | 公司估值 | 个人身价 | | --- | --- | --- | --- | --- | | 亚历山大 · 王 (Alexandr Wana) | Scale AI联合创始人,前CEO,现加入Meta AI团队 | Meta Al | Scale AI290亿美元 | 36亿美元 | | 郭露西 (Lucy Guo) | Scale AI联合创始人,现经营Passes | Passes | | 10亿美元以上 | | 次里應 · 阿慕迪 (Dario Amodei) | Anthr ...

图片来源：Datumo 根据麦肯锡最新报告显示，大多数企业表示尚未做好充分准备以安全负责任的方式使用生成式AI。其中一个关键问题是可解释性——即理解 AI 如何及为何做出特定决策。该报告指出，虽然 40%的受访者认为这是重大风险，但仅有 17%的企业正在积极应对。 总部位于首尔的 Datumo 最初是一家 AI 数据标注公司，如今致力于通过提供工具和数据来帮助企业构建更安全的 AI 系统。 这些工具支持对模型进行测试、监控和优化，且无需专业技术背景。本周一这家初创公司获得 1550 万美元融资，投资方包括 Salesforce Ventures、KB Investment、ACVC Partners 和 SBI Investment 等机构，使其总融资额达到约 2800 万美元。 Datumo 首席执行官 David Kim 曾是韩国国防发展署的 AI 研究员，他对数据标注耗时耗力的现状感到沮丧，于是萌生了一个新想法：开发一款基 于奖励机制的应用程序，让人们可以利用空闲时间标注数据并赚取报酬。这家初创公司在韩国科学技术院（KAIST）的创业竞赛中验证了这个概 念。2018 年，Kim 与五位 KAIST 校友 ...

根据麦肯锡最新报告显示，大多数企业表示尚未做好充分准备以安全负责任的方式使用生成式 AI 。其中一个关键问题是可解释性——即理解 AI 如 何及为何做出特定决策。该报告指出，虽然 40% 的受访者认为这是重大风险，但仅有 17% 的企业正在积极应对。 Datumo 首席执行官 David Kim 曾是韩国国防发展署的 AI 研究员，他对数据标注耗时耗力的现状感到沮丧，于是萌生了一个新想法：开发一款基 于奖励机制的应用程序，让人们可以利用空闲时间标注数据并赚取报酬。这家初创公司在韩国科学技术院（ KAIST ）的创业竞赛中验证了这个概 念。 2018 年， Kim 与五位 KAIST 校友共同创立了 Datumo （前身为 SelectStar ）。 在该应用程序尚未完全开发完成时， Datumo 就在竞赛的客户发现阶段获得了数万美元的预售合同，主要客户来自 KAIST 校友创办的企业和初创 公司。 成立第一年，这家初创公司就实现了超过 100 万美元的收入，并拿下了多个关键合同。 如今，其客户名单包括三星、三星 SDS 、 LG 电子、 LG CNS 、现代汽车、 Naver 以及总部位于首尔的电信巨头 SK ...

Core Insights - The article highlights the unprecedented wealth creation driven by artificial intelligence (AI), with a significant number of new billionaires emerging from the sector [5][6]. Group 1: AI Unicorns and Wealth Creation - As of now, there are 498 AI unicorns globally, valued at a total of $2.7 trillion, with 100 of these companies founded in 2023 or later [5]. - The financing capabilities of AI startups are remarkable, exemplified by Anthropic's negotiations for $5 billion at a valuation of $170 billion, nearly doubling since March [5]. - Major tech companies like Nvidia, Meta, and Microsoft have also seen their stock prices soar, contributing to the overall wealth explosion in the AI sector [5]. Group 2: Emergence of New Billionaires - The largest private AI companies have created at least 15 billionaires, with a combined net worth of $38 billion [7]. - Notable figures include Anthropic's CEO Dario Amodei and his co-founders, who are likely to be billionaires due to their stakes in the company [7]. - Anysphere's valuation jumped from $9.9 billion to an estimated $18-20 billion shortly after its June financing round, potentially making its 25-year-old CEO a billionaire [7]. Group 3: Liquidity and Wealth Management - Much of the AI wealth remains "on paper" in private companies, making it challenging for founders and shareholders to liquidate their assets [8]. - Unlike the internet bubble of the late 1990s, current AI startups can remain private longer due to ongoing investments from venture capital, sovereign wealth funds, and family offices [8]. - Secondary markets are evolving, providing opportunities for equity sales, with structured secondary sales and tender offers becoming more common [9]. Group 4: Geographic Concentration of Wealth - The current AI boom is geographically concentrated in the San Francisco Bay Area, reminiscent of the internet era in Silicon Valley [10]. - In the past year, Silicon Valley companies received over $35 billion in venture capital, and the number of billionaires in San Francisco has reached 82, surpassing New York's 66 [11]. - The influx of wealth has positively impacted the local economy, driving up housing prices and rental demand in the Bay Area [11]. Group 5: Challenges for Wealth Management - The immense wealth generated by private AI companies is expected to become more liquid over time, presenting historic opportunities for the wealth management industry [13]. - Major banks and investment firms are actively seeking to engage with AI elites, but managing this new class of wealthy individuals poses challenges due to the high proportion of non-liquid assets [14]. - It is anticipated that AI billionaires will initially invest in familiar tech companies before seeking professional wealth management services for diversification and protection [14].

目前，人工智能（AI）热潮迅速掀起近年来最引人瞩目的造富浪潮。在这一趋势的背后，Anthropic、Safe Superintelligence、OpenAI、 Anysphere等AI初创公司在今年纷纷完成巨额融资。新资金不仅为AI行业注入了强劲动能，更催生了数十位新晋亿万富豪。 随着时间的推移，尤其是在首次公开募股（IPO）逐步落地后，当前沉淀于私有领域的AI财富将加速进入流通环节。这一过程不仅会重 塑财富分配格局，更为资产管理公司带来了前所未有的历史性机遇。无论是在资产配置、风险管控还是个性化服务等层面，都将迎来全 新的拓展空间。 AI财富的爆发式增长 根据市场情报和数据分析公司CB Insights提供的数据，全球目前共有498家AI"独角兽"（估值超过10亿美元的私有AI公司），总估值高达 2.7万亿美元。在这些公司当中，有100家成立于2022年后。此外，估值超过1亿美元的AI初创公司已超过1300家。 这一财富浪潮不仅局限于私人领域。英伟达、Meta、微软等上市AI相关企业的股价持续攀升，数据中心及算力基础设施公司的业务大幅 增长，再加上AI工程师的高薪酬，使个人财富积累规模远超过去两次科技浪潮 ...

Core Insights - The article discusses the transformative impact of AI on business management, highlighting the emergence of "unmanned companies" as a new paradigm in the AI era [2][3][4] Group 1: AI's Dual Nature - Major technologies exhibit duality, improving production relationships while also fostering disruptive new models [5] - Historical examples include the sewing machine and the internet, which improved efficiency but ultimately led to the obsolescence of previous production modes [5] - AI is positioned to play a similar role, enhancing existing models while also paving the way for significant changes in business operations [5] Group 2: Automation in Various Sectors - The Robotaxi model demonstrates how AI can generate substantial revenue without human intervention, with potential earnings of around $10 billion if it captures a significant market share [6][7] - This model signifies a shift where AI and algorithms take over core business functions, fundamentally altering the role of human workers [7][8] - The transition from traditional taxi services to ride-hailing and now to Robotaxi illustrates a progression towards AI-driven business models [7][8] Group 3: Characteristics of "Unmanned Companies" - "Unmanned companies" operate on a digital foundation, requiring a fully digitized business environment to function effectively [10][11] - The operational rules for these companies differ from traditional models, emphasizing smart prioritization, complete digitization, real-time feedback, and centralized decision-making [13][14][15] Group 4: Implications for Business Structure - The effectiveness of "unmanned companies" is driven by the intelligence level of AI models and their understanding of real-world applications [16] - AI's ability to centralize intelligence supply contrasts with the traditional human-centric model, leading to potential disruptions in existing business structures [17][18] - Future business operations may still require human involvement, but the roles will differ significantly from traditional corporate functions [18]

"回顾过去100年的数据，我们从未见过如此规模和速度的财富创造，这是史无前例的。" 目前全球共有498家估值超过10亿美元的AI"独角兽"公司，总价值达2.7万亿美元，其中有100家成立于2023年及以后， 估值超过1亿美元的超1300家。另据估算，截至今年3月，四家最大的私人AI公司已创造出至少15名亿万富翁，总净资产 达380亿美元。 硬·AI 作者 | 李笑寅 编辑 | 硬 AI 人工智能正在以前所未有的速度和规模创造财富，催生出一批全新的亿万富翁。 据CB Insights数据， 目前全球共有498家估值超过10亿美元的AI"独角兽" 公司，总价值达2.7万亿美元， 其中有100家成立于2023年及以后，估值超过1亿美元的公司已超过1300家。 这场财富盛宴的核心，是AI初创公司惊人的融资能力与不断飙升的估值。Anthropic正在洽谈以1700亿美 元估值融资50亿美元，较3月份估值增长近两倍。离开OpenAI的前首席技术官Mira Murati创立的Thinking Machines Lab在7月完成20亿美元种子轮融资，创下史上最大种子轮纪录。 这一轮财富创造不仅局限于初创企业，包括英伟达、Me ...

人工智能正在以前所未有的速度和规模创造财富，催生出一批全新的亿万富翁。 据CB Insights数据，目前全球共有498家估值超过10亿美元的AI"独角兽"公司，总价值达2.7万亿美元， 其中有100家成立于2023年及以后，估值超过1亿美元的公司已超过1300家。 这场财富盛宴的核心，是AI初创公司惊人的融资能力与不断飙升的估值。Anthropic正在洽谈以1700亿 美元估值融资50亿美元，较3月份估值增长近两倍。离开OpenAI的前首席技术官Mira Murati创立的 Thinking Machines Lab在7月完成20亿美元种子轮融资，创下史上最大种子轮纪录。 这一轮财富创造不仅局限于初创企业，包括英伟达、Meta和微软在内的上市科技巨头股价飙升，以及 数据中心等基础设施公司的蓬勃发展，共同构成了此次AI财富大爆炸的全景。 麻省理工学院首席研究员Andrew McAfee表示： "回顾过去100年的数据，我们从未见过如此规模和速度的财富创造，这是史无前例的。" 新晋亿万富翁群体快速涌现 今年的重磅融资轮次正在批量制造新的亿万富翁。据彭博3月时的估计，四家最大的私人AI公司已创造 出至少15名亿万 ...

Seoul-based Datumo raises $15.5M to take on Scale AI, backed by Salesforce | TechCrunch https://t.co/V150tVQXXZ ...

Group 1 - The core viewpoint is that AIGC has led to a significant increase in the valuations of global technology companies, with the release of ChatGPT sparking a generative AI boom that has driven the total market capitalization of the six major U.S. tech companies up by $10.9 trillion [1] - Nvidia, as an AI chip manufacturer, has seen the most notable market capitalization increase, with a rise of over 950% [1] - Valuations of overseas AI companies have rapidly increased, with OpenAI's valuation increasing tenfold in two years [1] Group 2 - In the AI infrastructure sector, CoreWeave has become a core supplier of computing power services through deep integration with Nvidia, reaching a peak market capitalization of nearly $90 billion [1] - In the data services sector, Scale AI has become the largest data labeling company globally, acquired by Meta for over $29 billion [1] - In the AI applications sector, companies like Figma, Perplexity AI, and Tempus AI have achieved significant success in design software, search engines, and healthcare, leading to notable valuation increases [1] Group 3 - The software ETF (515230) tracks the software index (H30202), which selects publicly listed companies involved in software development, sales, and services, reflecting the overall performance of the software industry [1] - The index includes companies from various fields such as operating systems, application software, and internet services, showcasing high growth and innovation [1]