2亿美元ARR增长手册：2026年企业快速扩张之道

许多企业如今借助人工智能，能够切实实现数千万美元的盈利。我是亚历克斯，希克斯菲尔德的创始人，我们这家AI公司在短短9个月内就达到了2亿美元的年经常性收入，增长速度超过了Slack或Zoom。

他今天关于创业的分享让我彻底震撼了。你也可以借鉴他的策略。关键在于，在产品开发第30天前赚到第一块钱，第90天前争取实现百万收入。这目标可不简单。

>> 我只是认为这是下一场工业革命，其力量可能远超互联网。对于许多年轻人而言，人工智能成为了社会晋升的阶梯。 >> 对于那些仍心存恐惧、觉得这一切发展太快，不知从何入手的人，你能给他们一条建议吗？

今天我有位了不起的嘉宾，能向你学习让我兴奋不已。我们直接切入正题吧。你创立了Hicksfield并在9个月内实现2亿美元营收。

假设明天你必须从零开始，并且有90天时间来启动一个商业项目。根据你在Hicksfield的经验，你会怎么做？

我认为一切可能始于一个两人团队。其中一人是构建者，能在24小时内将想法转化为产品。如今，这一切都变得可能。有如此多的数据库、支付系统等等，这些都简化了最小可行产品的创建过程。

然后有人像我一样创造了MVP。然后有人像我一样创造了MVP。

然后，我称之为市场推广者，他们天生具备同理心，或者说理解目标分销对象，能够创造出新颖有趣的内容形式，这些形式能在社交媒体上引起目标受众的共鸣。

我认为社交媒体上的受众，以及我认为社交媒体上的受众，我认为这需要的技能组合与过去几十年的营销角色截然不同，与过去几十年的营销角色截然不同，与过去几十年的营销角色截然不同。那么他们应该准备迭代多少次？需要多少创意？需要多少创意？需要多少创意？以我们为例，去年我们每天都在迭代。所以是六次，每天都在迭代。所以是六次，每天都在迭代。

所以我们每周工作六天，每天我们都在发布新产品，同时努力寻找那些高频且对我们的目标受众至关重要的流程和用例。一旦技术成熟，开发出既简单易用又具备足够配置灵活性的工作流程就显得尤为重要。

这样的配置已然足够。完美界面的困境，坦白说，至今仍未解决。因此，这也是我们拥抱日常迭代的另一原因。除此之外，每个月整个行业都会重置，他们不断突破能力的边界。

关于能力方面有诸多考量。大约有五家顶尖研究实验室，每家实验室每个季度都在推动大规模更新。因此，在某些月份，我们甚至会有两次重大更新，这通常需要围绕这些模型对整个产品进行实质性重建。

今天是个激动人心的日子，因为模型技术日新月异。作为希克斯菲尔德的产品构建者，我们不断优化产品，旨在为客户充分展现这些模型的最佳潜能。然而，这始终是一场永不停歇的竞赛。

听起来这是一场极具挑战性的比赛，你提到去年对你来说是最艰难的时期之一，很多事情都不顺利。那么，你能和我聊聊在2024年，真正起到作用的那一件事吗？

我们确实是从移动应用起步的，但效果并不理想，因为移动应用的留存率相对较低。然而，情况后来发生了翻天覆地的变化。

希克斯菲尔德的情况在我们开始与创意人员持续迭代时发生了巨变。我们只是向他们提出了非常简单的问题，比如“你看过这个视频吗？这是一个很酷的生成视频。”他们惊讶地说：“哦，不，这怎么可能？成本是多少？”我们便告诉了他们。

我们表示制作这个视频的实际成本可能不到500美元。接着我们询问，这个视频是你制作的吗？然后我们又问，你真的尝试过这些模型吗？你对AI的实际体验如何？嗯，显然那时候每个人都尝试过AI了。

大约到去年二月，每个人都尝试过AI，但也都遇到了一些问题。那时我们意识到，核心限制主要在于摄像控制，很多创意性的摄像控制方面存在不足。

就像许多创意总监一样，他们非常想掌控你——导演们，他们非常想掌控你——导演们，他们非常想掌控你——所有的镜头效果、拍摄角度以及所有的镜头效果、拍摄角度，诸如此类。那时候还没有一套系统来实现这一点。因此，呃，hickfield.ai人工智能最初的吸引力就源于此。

这些相机控制功能源于我们从创意团队获得的反馈，并在工程端加以实现。那么，你们进行了多少次访谈才最终确定这个功能呢？

这是一个非常好的问题，但说实话这确实让我有点为难，因为我们采访了八个人，八个人都给出了同样的回答，从好莱坞级别的电影导演到地方商业广告制作人，每个人的反馈都如出一辙。

那么你们是如何筛选这些反馈的？又是如何挑选这些人的？他们是现有客户，还是行业内的普通人士？你们只是想和业内人士交流吗？>> 实际上，这确实是个挑战，因为我们希望与那些关系并不十分密切的人交流，以获取未经修饰的真实意见。

但得到的却是未经修饰的真实意见。反馈出奇地一致，每个人都表示缺少这些相机控制功能。因此，我们在去年三月推出了相应更新。紧接着四月，我们发布了一套视觉特效库。然后到了六月，整个行业发生了翻天覆地的变化，我们见证了人工智能的崛起。

我们见证了人工智能变革的出现。我们见证了原生人工智能营销机构的兴起。这些机构本质上完全采用端到端的人工智能解决方案，并且常常试图绕过现有的工具，例如Adobe或其他类似工具，全面转向人工智能。一方面，它们彻底拥抱人工智能。

一方面，它们的能力非常有限，因为六月份时AI的能力确实有些受限。另一方面，它们大幅提升了利润率表现，并向客户展示了能在几天内制作广告的能力。

许多品牌实际上都希望在社交媒体上保持持续的内容输出，并且他们渴望拥抱人工智能。从去年六月到十二月，这个新兴的人工智能原生代理行业彻底爆发了。

但基本上，你说你的成长起点源于多角度视角，这来自于与业内人士的交流。我很赞同这一点。另外，数字八实际上非常一致，根据我与其他创始人的交流，通常是在12到……

通常来说，12到20个访谈就足够了，但20个也不算太多。因为很多人觉得需要和成千上万的人交谈才能弄清问题，但实际上大约10个访谈就够了。 >> 没错，完全正确。所以8个人就足够了。

所以实际上有八个人帮助我们塑造了产品，然后我想我们雇用了其中的四位。哦，时间到了。是的，所以现在我们团队内部有了这个反馈循环。这真是太棒了。

于是我们意识到，创意人工智能领域的最佳产品，很可能将通过工程师与创作者之间的协同合作来打造。目前，我们团队中大约有40%是工程师，另外40%是创作者。

>> 就像你说的，两位创始人，对吧？一位懂技术，一位懂市场。这在你们的团队中得到了很好的体现。

>> 好的，让我们回到那段艰难时期，因为我觉得对很多人来说，那正是他们害怕面对的。

所以当你构建这个项目时，一切都不顺利，直到T096发布了新的VO模型，你是否曾想过放弃那个特定的市场，转而开始其他项目，因为市场竞争变得如此激烈？

我认为我们致力于解决这个问题。我们之所以有信念，有两个原因。首先，在那之前，我在Snapchat工作，负责运营。

我在那里运营Geni时，目睹了TikTok的崛起，它迅速跻身全球应用前五名，这前所未有。它并非即时通讯工具，也非传统社交媒体，这对我来说是一个强烈的信号——市场上社交媒体创作者的需求远未得到满足。我们坚信的第二点原因是，我们不断听到创作者们感到倦怠，因为他们每天都要顶着压力，用自己的面孔录制多条社交视频。

Mr. Beast，他非常坦诚地谈到了这一点。我认为，这已成为整个行业在过去四五年间面临的主要挑战。令我惊讶的是，广告商们也面临着同样的问题。

大多数广告商讨论的可能是中端市场品牌，这些品牌可能在营销上投入数亿美元，却没有自己的制作团队。所以，你选对了市场方向，这正是我所听到的。

所以，我觉得对于每一位正在关注的企业家来说，当你看到市场上出现一个巨大的机遇时，你也必须识别出谁在为此付出最多，而不仅仅是追逐每一个用户，对吧？ >> 完全正确。我们生活在一个非常

我们生活在一个非常有趣的时代，所有强大的公司都在努力将人工智能普及给每个人，比如Meta、Google、Microsoft、OpenAI、Anthropic、字节跳动等等。我认为这些公司中的每一家都真心希望将人工智能带给其所有客户。

这就是为什么初创企业必须对世界有更细致的看法，必须拥有更广泛的客户群体，并且我认为，如今的初创企业被激励着从第一天起就保持现金流为正，并建立真正的业务。

这是我在希克斯菲尔德及其他顶级应用AI公司所观察到的现象。因此，我认为这也催生了一个非常有趣的动态：目标受众可能是数千万愿意每月花费数千美元的用户。

所以这不是每月一千美元。所以它并非面向所有人，但为每个人提供的价值必须非常突出。因此，产品必须足够强大。产品必须足够出色，以至于它几乎能自我推销。自我推销。自我推销。 >> 我喜欢这个观点。而且我喜欢你有一个具体的数字——2000美元。具体的数字——2000美元。具体的数字——2000美元。 >> 是的，2000美元。嗯，我不太确定……

嗯，我不太确定，比如以希克斯菲尔德为例，这是我们追踪的核心指标，比如我们自认为提供了多少价值，这更多是通过用户访谈来体现，但也包括我们每年向用户收取的费用。所以这是一个关键指标。

因此，这是一个关键指标，我们不仅仅关注月度活跃用户数，因为该数字可能因某些病毒式传播效应而被夸大。月度活跃用户并不能真实反映使用频率和创造的价值。这就是为什么对我们来说……

这就是为什么对我们来说，价值交付至关重要。因此，我们真正关注的是日活跃用户和平均合同价值（ACV），这两项指标对我们来说最为关键。我之所以如此期待与亚历克斯坐下来交流，原因之一就是我们的团队其实已经使用希克斯菲尔德有一段时间了，我的制作人和编辑们都在用。

我的制片人和编辑们现在可开心了。他们特别喜欢所有顶尖AI模型都集中在一个平台上的设计。娜娜、香蕉、通灵、粘粘、维奥、Sora，而且最棒的是我们不需要订阅十几种不同的服务。这简直太不可思议了。亚历克斯刚刚告诉我们，就在上周……

亚历克斯刚刚告诉我们，去年他们每周六天都在发布新产品。如今，虽然已广为人知，但他们并未放慢脚步，持续推出新功能，其中最新的一项就是希克菲尔德自家的图像模型。

0是Hickfield自主研发的图像模型，其独特性无可比拟。市面上大多数AI图像生成工具，你输入提示词，得到的结果或许尚可。而0专为创意工作、时尚、编辑和内容创作打造，它真正理解美学。

你给它一张参考照片，它不会只是照搬参考照片，不会只是照搬参考照片，不会只是照搬。它会解读光线、质感，它会解读光线、质感，它会解读光线、质感、氛围、年代，就像一位创意总监那样解读氛围、年代，就像一位创意总监那样解读氛围、年代，就像一位创意总监那样。共有三种模式。共有三种模式。共有三种模式。这就是核心模型。你输入提示，这就是核心模型。你输入提示，这就是核心模型。你输入提示，就能得到一幅具有真正审美意识的美丽图像。就能得到一幅具有真正审美意识的美丽图像。就能得到一幅具有真正审美意识的美丽图像。灵魂参考，你灵魂参考，你灵魂参考。

灵魂参考功能，上传一张参考图，它便能生成一系列风格契合的新图像——不仅仅是复制构图，而是捕捉相同视觉基因下的不同构图与视角。灵魂ID功能，上传10张或更多个人照片，系统将学习你的面部结构、肤色与表情特征，随后即可在任何风格中生成你的专属形象。

千禧风潮，随即以任意风格为你生成影像。千禧风潮，随即以任意风格为你生成影像。千禧风潮，时尚大片质感，胶片摄影，宝丽来风格，时尚大片质感，胶片摄影，宝丽来风格，时尚大片质感，胶片摄影，宝丽来风格，首发即配备20种不同预设。而真正让我惊艳的是——你可以指定拍摄媒介，比如柯达胶片拍摄，指定拍摄媒介，比如柯达胶片拍摄，指定拍摄媒介，比如柯达胶片拍摄，波特拉胶卷或一次性相机，它能随之调整颗粒感、色彩科学，波特拉胶卷或一次性相机，它能随之调整颗粒感、色彩科学，波特拉胶卷或一次性相机，它能随之调整颗粒感、色彩科学，呈现全方位的变化。

它并非简单套用滤镜。它并非简单套用滤镜。它并非简单套用滤镜。而是彻底改变画面的整体氛围。而是彻底改变画面的整体氛围。而是彻底改变画面的整体氛围。色彩处理同样如此。他们刚新增了十六进制色彩功能，色彩处理同样如此。他们刚新增了十六进制色彩功能，色彩处理同样如此。他们刚新增了十六进制色彩功能，让你能从任何照片中提取精确色板，让你能从任何照片中提取精确色板，让你能从任何照片中提取精确色板，直接应用到你的创作中。若想体验Soul，直接应用到你的创作中。若想体验Soul，直接应用到你的创作中。

如果你想尝试Soul 2.0版本，我会把链接放在描述区。现在，让我们回到描述区。现在，让我们回到描述区。现在，让我们回到亚历克斯。你能给那些正在观看、尚未开始、因为担心大公司会接管而犹豫不决的人们一些建议吗？他们应该如何思考这个问题？

他们应如何思考自身的防御能力？我认为每家公司确实可以将其关注点集中在两到三个首要任务上。有趣的是，人们往往……

人们常说，关于anthropic，他们的主要成功并非自上而下，而是自下而上，比如云代码的成功并非事先规划。我认为确实如此，这些大公司完全可以从应用yi自上而下的方法中获益良多，通过两到三个关键举措，集中所有资源以取得最大进展。

我只是认为那里取得了最大的进展。我只是认为那里取得了最大的进展。我只是认为这是下一次工业革命，这是下一次工业革命，这是下一次工业革命，可能比互联网更强大。所以，我认为可以构建的产品和想法数量，可能比开放人工智能或anthropic内部能够推动的想法数量还要多。

这就是为什么我鼓励建设者们去创造，尤其是在今天，即便是仅有大约10人的小团队也能打造出高质量的产品。你是否认为我们存在一个特定的时间窗口，让我们能够进行建设？比如说，

我在社交媒体上反复听到一种说法，我们只有两年时间来打造新事物，因为届时将有一些公司达到AGI阶段，市场空白将不复存在，这些公司会迅速填补所有空缺。

这是一个很好的问题。我们行业在数字化工作自动化方面确实取得了巨大进展，可以肯定的是，未来几十年人工智能在物理世界中将会有大量应用。

很难预测我们能在那里取得多大进展，但可以肯定的是，这个十年绝对是人工智能彻底改变数字经济的时代。

我真的不愿相信未来会出现这样的景象：或许只有三所实验室能研发出顶尖模型，而这些模型将掌控整个世界。这并非不可能发生，那将是一个极其艰难的未来。因此，我会努力保持清醒。

因此，我会努力保持乐观，并鼓励大家保持乐观，真正专注于创造和传递价值。举个例子，今天我就想给大家一个非常具体的实例。最近，我和一位非常……

我最近和一家规模非常大的物业管理公司交流过，他们实际上在用Hicksfield来推广他们的楼盘、公寓等等。在这个行业里，似乎还没有人专门为此开发类似的产品。

在这个行业里，客户有着非常具体的工作流程。比如，客户需要了解房产信息，然后访问网站获取所有细节，接着打电话咨询，再实地看房，最后支付定金——这就是完整的客户旅程。

在整个客户旅程中，目前还没有人真正构建出专门针对这个行业的解决方案，能够利用智能体从头到尾覆盖整个旅程。而之所以选择智能体，是因为它们能够……

而代理之所以能在这个特定业务中创造巨大价值，是因为那些希望租房的客户——尤其是在特定价格区间内的客户——往往需要快速做出决定。

因此，每一天的拖延，每一次仅仅从一个阶段推进到另一个阶段，都意味着收入的流失。这位企业主告诉我，目前没有人专门为他们的行业进行建设，而我确信，类似的情况还有很多。

所以，正如俗话所说，财富藏在细分领域。根据你向风投推销另一个AI创意的经验，如今什么样的提案能脱颖而出？

我认为今天，开放人工智能、Anthropic以及其他实验室，确实存在一种担忧，它们可能会变得极具扩张性，并且只是试图将产品线拓展到多个不同的垂直领域。几乎每周都有这样的趋势。

几乎每周都有X公司宣布CLO，股价应声下跌。这种情况确实屡见不鲜，也引发了大量恐慌情绪。

对我个人而言，核心的领悟是，这些备受瞩目和热议的AI公司，实际上大多数都已经实现了正向现金流。或许现在再去寻求风险投资，本身就是一种错误的思维方式。我认为目前市场上并不缺乏资金。

我认为如今有大量的创业资金可用，但我不确定是否每个人都需要进行A轮、B轮、C轮、D轮等融资。你在进行第一轮融资时，营收达到了多少？

对我来说，与Hicksfield AI合作时，情况可能有所不同，因为我之前有过一次成功的退出经历，我们基本上筹集了1600万美元，尽管当时没有任何收入，只是我们的移动应用可能拥有大约百万用户。但这并非完全如此。

但这并非我如今会推荐的构建方式。我建议聚焦当下，我建议聚焦当下，我建议聚焦于在产品开发第30天实现首笔收入，或许在第90天达到百万营收，然后再决定是否需要风险投资。我的意思是，许多企业其实并不需要。

我的意思是，许多企业现在利用人工智能就能实现数千万美元的盈利，对于这样的企业来说，根本不需要吸引风险投资。我可以给你举一个非常简单的例子。

所以，我们允许创建许多网站，专门用于制作专业的证件照，比如护照照片。其中许多网站能赚取数千万美元。但它们都不会成为风险投资支持的企业。

>> 嗯，你说过到第90天要达到100万美元 >> 嗯，你说过到第90天要达到100万美元 >> 嗯，你说过到第90天要达到100万美元 >> AR指的是每月8万美元左右 >> AR指的是每月8万美元左右 >> AR指的是每月8万美元左右 >> 三个月内每月8万美元，这可不是小数目。所以，实现这一目标的策略手册

因此，实现这一目标的策略基本上是生成广告，然后投放并测试它们是否能够触达你的目标受众。如今，付费广告的难度非常大。

我认为很多分销渠道是通过有机社交媒体和创作者整合实现的。关键是要确保在第30天前实现盈利，并建立一种持续增长机制，使营收能在第90天达到百万级别。许多成功的公司正是如此运作的。

许多成功的公司发展得非常迅速。只是不同的行业有不同的容量上限。在某些行业，上限可能仅为5000万美元。而在其他行业，可能达到10亿，甚至像1000亿这样的规模。

>> 关于在头30天内获取首批客户有什么建议吗？

>> 最初，至少去年，Twitter（现为X）是社交媒体推广的起点。它始于小型社群，然后扩展到X平台上的AI新闻页面，再从AI新闻页面进一步传播。

从X平台上的AI新闻页面，转向Instagram新闻页面，再进一步扩散至更多页面。接着，从Instagram新闻页面延伸至内容创作者，随后传播至Telegram及其他社交媒体平台。这正是我们所乐见的社交媒体传播路径。

正如我们在希克斯菲尔德以及许多其他产品上所看到的，它们都经历了类似的流行与新闻传播路径，通过各类社交媒体扩散，但这一切最初都源于X平台。我认为现在它正逐渐成为一种趋势。

我觉得现在情况有所改变，如今很多炒作，很多公司试图利用X来推广他们的产品，导致信号与噪音的比例下降，推特变得不那么重要，但它仍然是新AI产品发布的主要平台。这太棒了，我还在努力破解X策略，我觉得如果你在发布内容时添加一个词，或者直接在开头说明，它应该位于顶部位置，这样效果会更好，然后某些内容应该像是精心准备的。

炒作了。炒作了。

>> 是啊，

>> 是啊，

>> 是啊，

>> 类似这样的东西。

>> 类似这样的东西。

>> 类似这样的东西。

>> 没错。直接把市场清空了。

>> 没错。直接把市场清空了。

>> 没错。直接把市场清空了。

是的。必须得非常轰动，

是的。必须得非常轰动，

是的。必须得非常轰动，

而且X。但你说得太对了。我听过太多

而且X。但你说得太对了。我听过太多

而且X。但你说得太对了。

我听说过很多，也认识不少创作者，他们仅凭在X平台上的病毒式传播帖子，就成功建立起拥有百万订阅者的电子邮件通讯列表。这真是太棒了，我太喜欢这种生活技巧了。

谢谢，尽管这已成为25岁人群的主要生活技巧，并且我确实相信媒体自身也在不断发展。So 26可能有所不同。我总是看到领英在崛起，所以也许领英。

>> 你之前那家公司卖了1.66亿。从那段经历里，有没有什么关键的收获或犯过的错误，是你在新事业中绝不会再重复的？

>> 这个嘛…话不能说太绝对。但

但对我而言，一个关键的领悟和重要收获是拥抱精英制度。我今年30岁，有时觉得自己在这个人工智能新时代已经相当老了。如今希克斯维尔涌现的许多新想法，往往来自那些23到25岁左右的应届毕业生——他们可能从未在大公司工作过，而是用一些VIP编程工具做自由职业，在“VIP编程”这个术语普及之前就已经从事这类工作。他们的思维方式截然不同，我认为这或许才是正确的思维方式。

在传统观念中，在任何类似的企业环境中，这些人往往会被忽视，根本没有人会真正倾听他们的声音。同样的情况也适用于创意角色。

因此，确实存在一些人的抵制，尤其是那些参与大型好莱坞项目的人，他们认为人工智能是危险的，缺乏真实性。但与此同时，令人振奋的是，对于许多年轻人来说，人工智能成为了社会晋升的阶梯。我个人对此深有共鸣，因为我曾经历过大量竞争性编程，比如在五小时内看谁能解决更多问题，全世界的人都在参与竞争。

这就是竞争中的社会阶梯。这大概是2010年的社会阶梯，同样适用于创意和软件工程领域。我很喜欢你提到AI是社会阶梯的说法，因为我觉得社交媒体曾是我的社会阶梯。而现在，是AI的时代。

我记得你提到过那个关于AI的视频。你说视频模型可能是通向AGI的途径，而且你也在构建一个世界模型。能和我详细聊聊这个吗？

对于所有正在观看的朋友们，我想解释一下，我刚刚在达沃斯，大家都在讨论LLMs存在上限的问题，因为基本上，用语言描述我们的世界是我们习惯的方式，互联网上信息丰富，但理解物理规律是更高层次的要求。一旦我们掌握了物理原理，未来我们的家中将会有机器人行走并处理家务——如果我的解释正确的话。

正确。正确。 >> 绝对正确。我认为来自Google的达米斯 >> 绝对正确。我认为来自Google的达米斯 >> 绝对正确。

我认为来自Google的达米斯和XEI的埃隆他们开启了这一叙事，他们无疑是该领域的顶级影响者，正因如此，这一理念如今已传播至大众。虽然尚不确定这是否是通往AGI的路径，但这无疑是通向先进机器人系统的途径之一。我认为埃隆已向全世界证明，仅凭摄像头就能实现出色的自动驾驶汽车功能，而同样的逻辑也将适用于更先进的机器人系统。

这就是为什么还有高级机器人。

这就是为什么发展感知与视觉理解对下一代机器人技术至关重要，它已成为众多研究实验室的首要任务，因为这是下一个前沿领域。而且，没有视觉理解，视频生成技术就无法得到提升。粗略来说，人们常提到，在一分钟内我们能阅读大约100个单词，而一分钟的视频内容则远不止于此。

视频中的一分钟，或许需要十万六千字才能描述清楚。因为其中蕴含的信息量实在太过庞大。如果这期节目结束后，你我共饮咖啡，我定会掏出手机，兴奋地展示："快看我本周的尝试，它彻底改变了我们团队的工作方式。这就是我日常的真实写照。"

"分享是我一直在做的事。"对于那些不适合播客的内容，我创办了自己的通讯周刊。每周我都会撰写关于人工智能工具、策略以及我在自己业务中进行的实验，这些内容都包含真实的数字、实际成果、可供使用的模板，以及那些坦诚的错误。

如果你能运用并接纳诚实的错误。如果你能运用并接纳诚实的错误。如果你想了解最新动态，链接就在描述中等你。所以，如果你想了解最新动态，链接就在描述中等你。所以，如果你想了解最新动态，链接就在描述中等你。那么，你如何看待自己两年后的发展？你如何看待自己两年后的发展？你如何看待自己两年后的发展？

你还在做视频吗？因为我看到Menow Ventures宣布投资你们，并提到Hicksfield正在构建下一代世界模型。你觉得自己是在打造下一代世界模型吗？

你是否觉得你的重心会转向那个方向，还是会继续专注于视频营销？我认为关键在于视频。

我认为我们与许多其他公司的区别在于，从创立之初，我们就专注于短视频内容。我确实认为世界模型将改变社交媒体内容的制作方式。例如，未来十年将见证这一变革。

因此，举例来说，未来十年将是互动媒体的时代，届时游戏和视频的界限将逐渐模糊，融合为一种体验，类似于那种"选择你自己的冒险"模式。所以，很多营销活动也将如此。

So a lot of marketing is going to go this way especially kind of going to go this way especially kind of going to go this way especially kind of premium marketing and customer loyalty premium marketing and customer loyalty premium marketing and customer loyalty programs. I think this decade is all programs. I think this decade is all programs. I think this decade is all about supercharging about supercharging about supercharging creators and marketing with those creators and marketing with those creators and marketing with those models. models. models. >> You said you're seeing customers with >> You said you're seeing customers with >> You said you're seeing customers with marketing budget over $und00 million. marketing budget over $und00 million. marketing budget over $und00 million.

90% of their ads are AI generated. As a 90% of their ads are AI generated. As a 90% of their ads are AI generated. As a creator whose 90% of my revenue is from creator whose 90% of my revenue is from creator whose 90% of my revenue is from large corporations through from their large corporations through from their large corporations through from their marketing budgets, should I be afraid? marketing budgets, should I be afraid? marketing budgets, should I be afraid?

This is a good question and um this is This is a good question and um this is This is a good question and um this is definitely where we should make sure definitely where we should make sure definitely where we should make sure that video AI can help personalities that video AI can help personalities that video AI can help personalities like what I would love to see is that uh like what I would love to see is that uh like what I would love to see is that uh creators like you Mr. Beast and so on creators like you Mr. Beast and so on creators like you Mr.

Beast and so on who are sort of AI native start to make who are sort of AI native start to make who are sort of AI native start to make like more channels and just expand their like more channels and just expand their like more channels and just expand their media presence and be like the whole media presence and be like the whole media presence and be like the whole media empire. So like the next media media empire. So like the next media media empire. So like the next media empire is going to be built maybe with empire is going to be built maybe with empire is going to be built maybe with like 300 people, 500 people uh and be like 300 people, 500 people uh and be like 300 people, 500 people uh and be worth like $10 billion. So that's on the worth like $10 billion.

So that's on the worth like $10 billion. So that's on the one side. On the other side, what I see one side. On the other side, what I see one side. On the other side, what I see personally is that essentially this personally is that essentially this personally is that essentially this highcale AI canon creation comes after highcale AI canon creation comes after highcale AI canon creation comes after uh maybe a platforms like Tik Tok uh maybe a platforms like Tik Tok uh maybe a platforms like Tik Tok marketplace frankly. So in the past marketplace frankly. So in the past marketplace frankly.

So in the past those brands they could just hire sort those brands they could just hire sort those brands they could just hire sort of even programmatically of even programmatically of even programmatically thousands of creators through Tik Tok thousands of creators through Tik Tok thousands of creators through Tik Tok marketplace just to do kind of these uh marketplace just to do kind of these uh marketplace just to do kind of these uh templatized templatized templatized videos like I use this product it's all videos like I use this product it's all videos like I use this product it's all good go buy that so like this entry good go buy that so like this entry good go buy that so like this entry levelvel marketing definitely gets levelvel marketing definitely gets levelvel marketing definitely gets democratized democratized democratized although in my opinion as we are seeing although in my opinion as we are seeing although in my opinion as we are seeing a lot of AI slope on social media and so a lot of AI slope on social media and so a lot of AI slope on social media and so on uh the genuine connection and and on uh the genuine connection and and on uh the genuine connection and and understanding of audience now matters understanding of audience now matters understanding of audience now matters more than ever.

So there are going to be more than ever. So there are going to be more than ever. So there are going to be just a lot of average and above average just a lot of average and above average just a lot of average and above average content on the socials. Um and I think content on the socials. Um and I think content on the socials. Um and I think this is happening one way or another and this is happening one way or another and this is happening one way or another and just deep understanding of the audience just deep understanding of the audience just deep understanding of the audience and authentic approach matter more than and authentic approach matter more than and authentic approach matter more than ever. ever. ever. >> Okay. So you think social media ladder >> Okay.

So you think social media ladder >> Okay. So you think social media ladder social letter is not dead? Definitely social letter is not dead? Definitely social letter is not dead? Definitely not. I just think that authenticity is not. I just think that authenticity is not. I just think that authenticity is going to matter a lot. And and the way going to matter a lot. And and the way going to matter a lot. And and the way how I think about that is if let's say how I think about that is if let's say how I think about that is if let's say top creators now can make their own top creators now can make their own top creators now can make their own shows, their own movies with AI and shows, their own movies with AI and shows, their own movies with AI and creators can drive a lot of traffic.

creators can drive a lot of traffic. creators can drive a lot of traffic. That's going to affect like streaming That's going to affect like streaming That's going to affect like streaming business a lot. I think so. I think the business a lot. I think so. I think the business a lot. I think so. I think the revolution is going to come at every revolution is going to come at every revolution is going to come at every level. Although I think clearly people level. Although I think clearly people level.

Although I think clearly people who already understand their audience, who already understand their audience, who already understand their audience, who have authentic approach, those who have authentic approach, those who have authentic approach, those people are definitely going to be the people are definitely going to be the people are definitely going to be the winners. winners. winners. >> Okay, my last question for someone who's >> Okay, my last question for someone who's >> Okay, my last question for someone who's watching this watching this watching this still has fear like this is moving so still has fear like this is moving so still has fear like this is moving so fast. I don't know how I can start. I fast. I don't know how I can start. I fast. I don't know how I can start.

I started something today, it's outdated started something today, it's outdated started something today, it's outdated by tomorrow. Can you give them one piece by tomorrow. Can you give them one piece by tomorrow. Can you give them one piece of advice so they can start? First, I of advice so they can start? First, I of advice so they can start?

First, I think I would start from a position that think I would start from a position that think I would start from a position that large companies Amazon, Microsoft, large companies Amazon, Microsoft, large companies Amazon, Microsoft, Google, OpenAI, Anthropic, I think Google, OpenAI, Anthropic, I think Google, OpenAI, Anthropic, I think they're all relatively well positioned they're all relatively well positioned they're all relatively well positioned to be winners in AI era as they simply to be winners in AI era as they simply to be winners in AI era as they simply control data centers, GPUs, and so on. control data centers, GPUs, and so on. control data centers, GPUs, and so on.

And I'm not sure there is much insurance And I'm not sure there is much insurance And I'm not sure there is much insurance policy for everyone else regardless, policy for everyone else regardless, policy for everyone else regardless, right? right? right? >> Buy their stocks. Yeah, I don't know. >> Buy their stocks. Yeah, I don't know. >> Buy their stocks. Yeah, I don't know. Yeah, just buy their stocks. Yeah, just buy their stocks. Yeah, just buy their stocks. >> Yeah, buying their stocks is a good >> Yeah, buying their stocks is a good >> Yeah, buying their stocks is a good idea, idea, idea, >> but that's I think I'm not sure we can >> but that's I think I'm not sure we can >> but that's I think I'm not sure we can >> investment advice is just personal chat.

>> investment advice is just personal chat. >> investment advice is just personal chat. >> Yeah, I do think that there is a lot of >> Yeah, I do think that there is a lot of >> Yeah, I do think that there is a lot of value in these companies, but I mean for value in these companies, but I mean for value in these companies, but I mean for for a lot of others, right? I mean we for a lot of others, right? I mean we for a lot of others, right?

I mean we see the sell off across US we see the see the sell off across US we see the see the sell off across US we see the sell off across cyber security and then sell off across cyber security and then sell off across cyber security and then there is an ultimate question if I want there is an ultimate question if I want there is an ultimate question if I want to like basically depend on someone else to like basically depend on someone else to like basically depend on someone else to figure out AI strategy or I want to to figure out AI strategy or I want to to figure out AI strategy or I want to embrace AI myself and benefit the most embrace AI myself and benefit the most embrace AI myself and benefit the most right I think that's a personal question right I think that's a personal questi

on right I think that's a personal question for everyone and as we all know that for everyone and as we all know that for everyone and as we all know that these technology revolutions they're these technology revolutions they're these technology revolutions they're both fair and un and unfair I think in both fair and un and unfair I think in both fair and un and unfair I think in long term every technology revolution is long term every technology revolution is long term every technology revolution is fair and GDP per capita and quality of fair and GDP per capita and quality of fair and GDP per capita and quality of life goes up on the horizon of 10 years life goes up on the horizon of 10 years life goes up on the horizon of 10 years on the horizon of like 3 years I think on the horizon of

like 3 years I think on the horizon of like 3 years I think it's extremely unfair because market it's extremely unfair because market it's extremely unfair because market just loves to pour money into companies just loves to pour money into companies just loves to pour money into companies which are winning and companies which which are winning and companies which which are winning and companies which are like not winning they immediately go are like not winning they immediately go are like not winning they immediately go down down down >> but in the short term I think that we >> but in the short term I think that we >> but in the short term I think that we it's going to be fair because people um it's going to be fair because people um it's going to be fair because people um both on the creative side marketing side both on the creative side marketing side both on the creative side marketing side engineering side those who are embracing engineering side those who are embracing engineering side those who are embracing AI,

they can propel their careers so AI, they can propel their careers so AI, they can propel their careers so quickly. In the end of the day, net it's quickly. In the end of the day, net it's quickly. In the end of the day, net it's going to be net positive. Although I going to be net positive. Although I going to be net positive.

Although I think um individually we all just need think um individually we all just need think um individually we all just need to think how I can personally benefit to think how I can personally benefit to think how I can personally benefit the most from AI, how I can become more the most from AI, how I can become more the most from AI, how I can become more efficient with AI, how the value of my efficient with AI, how the value of my efficient with AI, how the value of my skill set can actually grow with AI. And skill set can actually grow with AI. And skill set can actually grow with AI.

And um this always require using those um um this always require using those um um this always require using those um agents and various AI models several agents and various AI models several agents and various AI models several hours a day to to build this intuition. hours a day to to build this intuition. hours a day to to build this intuition. >> Let's give them a home task. What should >> Let's give them a home task. What should >> Let's give them a home task. What should they do right after watching this video? they do right after watching this video? they do right after watching this video? Which tool should they start using and Which tool should they start using and Which tool should they start using and how? how? how? >> For me personally, I am an immigrant.

>> For me personally, I am an immigrant. >> For me personally, I am an immigrant. So, you know, it just takes quite a bit So, you know, it just takes quite a bit So, you know, it just takes quite a bit of effort to come with a logical lineer of effort to come with a logical lineer of effort to come with a logical lineer story line. 03 mini became my coach. story line. 03 mini became my coach. story line. 03 mini became my coach. Really this was the first aha moment for Really this was the first aha moment for Really this was the first aha moment for me. The second aha moment was around me. The second aha moment was around me. The second aha moment was around Gemini 3 pro model. So I felt that my Gemini 3 pro model. So I felt that my Gemini 3 pro model.

So I felt that my economic productivity really depends on economic productivity really depends on economic productivity really depends on like how much I use Gemini 3 model. like how much I use Gemini 3 model. like how much I use Gemini 3 model. These capabilities of the model which These capabilities of the model which These capabilities of the model which can process voice which can make image can process voice which can make image can process voice which can make image but which has also deep reasoning but which has also deep reasoning but which has also deep reasoning capabilities and deep research. This was capabilities and deep research. This was capabilities and deep research. This was mind-blowing to me. So that's why I feel mind-blowing to me.

So that's why I feel mind-blowing to me. So that's why I feel that my just economic throughput really that my just economic throughput really that my just economic throughput really depend on how much I use Gemini 3 today. depend on how much I use Gemini 3 today. depend on how much I use Gemini 3 today. >> Do you use it to make decisions about >> Do you use it to make decisions about >> Do you use it to make decisions about your company like strategic operations? your company like strategic operations? your company like strategic operations?

>> I really feel that communication with >> I really feel that communication with >> I really feel that communication with humans humans humans becomes way more important skill set for becomes way more important skill set for becomes way more important skill set for me cuz a lot of other decisions I'm sure me cuz a lot of other decisions I'm sure me cuz a lot of other decisions I'm sure Gemini 3 and Claud are going to be Gemini 3 and Claud are going to be Gemini 3 and Claud are going to be better than myself. AI is no is not yet better than myself. AI is no is not yet better than myself. AI is no is not yet good in communication. So that's where I good in communication. So that's where I good in communication.

So that's where I think I try to put a lot of my personal think I try to put a lot of my personal think I try to put a lot of my personal emphasis. emphasis. emphasis. >> I think other than that um a lot of >> I think other than that um a lot of >> I think other than that um a lot of process can actually be built with AI. process can actually be built with AI. process can actually be built with AI. So um just humanto human communication So um just humanto human communication So um just humanto human communication and sort of conflict resolution and and sort of conflict resolution and and sort of conflict resolution and maybe goal set goal setting. maybe goal set goal setting. maybe goal set goal setting. >> Yeah. >> Yeah. >> Yeah.

>> And like numberdriven goal setting >> And like numberdriven goal setting >> And like numberdriven goal setting really is where I put a lot of my time really is where I put a lot of my time really is where I put a lot of my time my personal time. For everything else, my personal time. For everything else, my personal time.

For everything else, I'm trying to evolve Gemini as much as I'm trying to evolve Gemini as much as I'm trying to evolve Gemini as much as possible, but also use cloud for Excel, possible, but also use cloud for Excel, possible, but also use cloud for Excel, cloud for X, like for example, cloud for cloud for X, like for example, cloud for cloud for X, like for example, cloud for cyber security as it really increases cyber security as it really increases cyber security as it really increases the productivity. the productivity. the productivity. >> Alex, thank you so much. It was amazing. >> Alex, thank you so much. It was amazing. >> Alex, thank you so much. It was amazing.

Uh, I'm looking forward to reading your Uh, I'm looking forward to reading your Uh, I'm looking forward to reading your comments. What was your key takeaway and comments. What was your key takeaway and comments. What was your key takeaway and what you going to do right after this what you going to do right after this what you going to do right after this video? video? video? >> Thank you so much. Thank you.