AI时代内容创作:从个人品牌到垂直化蓝海 EO 2025-11-25

AI的崛起与内容创作者的机遇

当我们刚开始时,每个人都害怕AI会取代一切。当时有一句名言:“AI不会取代你,但使用AI的人会。”我意识到我的受众真正想要的是最新的AI新闻。他们面临的最大问题是,看到一些爆红的东西,然后说:“我想试试那个。”他们试了之后会觉得:“酷,我试过了。”但他们没有发现任何用途。所以,他们没有任何黏性,使用那个工具对他们来说毫无意义,订阅它也没有任何意义。

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When we first started, everyone was afraid of AI replacing everyone. There was a famous quote, "AI won't replace you, but people who use AI will." I realized my audience really wanted the latest AI news. The biggest problem they face see something that goes viral and they say, "I want to try that." And they try it and they're like, "Cool, I tried it." But they didn't find anything any use of it. So, they don't have any stickiness and there's there's no use for them to use that tool. There's no use for them to actually be subscribed to it. It was a really big problem at the time because the space was moving so fast and there's so much noise.

当时这是一个非常大的问题,因为这个领域发展得太快,信息量也太大。所以我有点成为了“无噪音”AI新闻和快速分析其对普通科技工作者重要性的首选人物。就像任何其他业务一样,内容也是如此。每个人都在谈论垂直化AI SaaS(Software as a Service: 软件即服务,指针对特定行业或领域提供AI解决方案),比如用于法律的AI,用于会计的AI。这些都是获得大量资金的巨型初创公司,但没有人谈论垂直化内容创作者

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It was a really big problem at the time because the space was moving so fast and there's so much noise. So, I kind of became the go-to person for no noise AI news and quick takes on why it actually matters for the average everyday tech worker. Like any other business, content is the same. And everyone talks about verticalized AI SAS, right? Like AI for law, AI for accounting. These are huge startups getting all this funny, but no one talks about verticalized content creators.

所以,如果你现在是一名内容创作者,或者你刚开始创作内容,我强烈建议你……我是The Rundown(一个专注于AI新闻和教育的每日时事通讯)的创始人Rowan。它是全球最大的每日AI时事通讯,我们还提供每日AI教育。我们的所有新闻通讯在拥有超过200万订阅者的情况下,邮件打开率接近50%。

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So, if you are a content creator right now or you're just starting content, I would highly advise you to My name is Rowan. I'm the founder of The Rundown. So, it's the largest daily annuals in the world and we also do daily AI education. We have nearly 50% open rate across all of our newsletters at over 2 million subscribers.

很多人都很困惑,这个零订阅的家伙怎么能采访到马克·扎克伯格谈论Llama 3.1(Meta公司开发的大型语言模型)?这个人怎么能请到所有优秀的嘉宾?我能得到那次采访的原因,就是因为我是那个“新闻通讯人”。

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So, many people were confused like, who is this complete like zero subscriber guy who got Mark Zuckerberg for Llama 3.1? How does this guy get all the good guests? The reason why I got that interview is because I'm the newsletter guy.

人性化内容:在AI时代脱颖而出的关键

我有什么资格和马克·扎克伯格或山姆·奥特曼对话?我不是记者,也从未上过新闻学院。大约三年前,我还是个大学生,当时我只是个大学辍学生。我坐在心理学讲座上,我的朋友转向我,问了一个关于我们刚听到的讲座的问题。我清楚地记得我看着他,问:“你真的记住了吗?”

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Who am I to be talking to Margaret Zuckerberg or Sam Alman? I'm not a journalist. I never went to journalism school. Like 3 years ago, I was just a college dropout when I was still in college. I was sitting a psychology lecture. My friend turned to me and asked a question about the lecture we just heard. And I vividly remember just looking at him and asking, "You actually remember that?"

他说:“是的,我记住了。这是一个讲座。”那时我意识到,我无法通过这种有人教我,然后我必须记住、消化并参加考试的方式学习。我就是不适应那种学校环境的学习方式。

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He's like, "Yeah, I remember that. This is this is a lecture." That's when I realized I don't learn from like these settings of someone just teaching me and I have to remember it, digest it, and do an exam. Like I just don't learn well in that school setting.

所以,我开始在业余时间自学。我通过实际构建网站来学习编程。我通过实际创建图形来学习设计。我通过“YouTube大学”自学,并在Twitter上扩展我的学习,这也是我学习内容创作的方式,就是通过发布内容。

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So on the side, I was starting to self teach myself things. I was learning how to code by actually building websites. I learned to design by actually creating graphics anytime I learned and selftaught my myself through YouTube University expand my learnings on Twitter and that's the way I was also learning content by just posting.

然后ChatGPT(OpenAI开发的大型语言模型)的时刻到来了。我记得在ChatGPT正式向公众发布后的一两天,我写了我的第一个帖子,我说:“嘿,这是我在ChatGPT中探索的一些很酷的东西。”它迅速走红。

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And then the chat moment happened my first thread after that I remember I think it was a day or two after chatb actually officially launched to the public I wrote a thread I'm like hey here's some cool things that I'm exploring in chatbt and it went super viral for there.

从那时起,我决定全力投入,看看会发生什么。我对这个领域非常好奇,我已经在这个领域待了几个月了。我决定辍学,全力以赴地每天发布一个帖子。我以为这种病毒式传播会逐渐消退,但实际上它反而增加了。

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I decided let's go all on this, see what happens. I'm really curious about the space. I've been in the space for a few months already. I decided to drop out and go all in on just like posting a thread every single day. And I just I thought the virality would die down, but it actually increased.

当Twitter开始变得非常流行时,我说:“嘿,我如何才能在此基础上发展一个业务或品牌?”我想到最简单的方法就是建立一个电子邮件列表。当我们刚开始时,我们有很多AI新闻通讯的竞争对手,其中很多都使用AI来撰写内容,这很合理,AI新闻通讯由AI撰写。但我们完全避开了这种做法,我们实际上做了相反的事情。

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And then when Twitter started going super viral, I said, "Hey, how am I going to grow a business or brand off this?" And the easiest thing I thought about was just starting an email list. We had so many AI newsletter competitors when we first started and so many of them used AI to write their content which makes sense like AI newsletter written by AI but we completely steered away from it and we actually did the opposite.

我们开始让我们的面孔出现在新闻通讯背后,我们说:“嘿,这是人类生成的内容。”我们确保我们的观点非常清晰地表达了人类的看法。我们使用AI进行结构化和部分研究,但我们从不将其用于人类部分。这样做是有原因的。AI生成的内容缺乏灵魂,人们都很聪明,他们会知道什么时候是AI生成的内容。

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We started putting our faces behind the newsletter and we said hey this is human generated and we made sure that our takes were like very clearly human takes. We use AI for the structuring for some parts of research but we never do it for the human part. And there's a reason for that. AI generated content just kind of has no soul and people are smart. They will know when it's AI generated.

我认为这种工作流程改变的唯一方式是,如果我们的脑子里有芯片,但我认为这在未来很多年内都不会实现。所以,人类的创造力循环将永远存在。我认为内容作为一个整体将有两面。一个是“沃尔玛”,另一个是“全食超市”。“沃尔玛”将是AI生成的内容,易于获取。它将遍布社交媒体,会很有趣,会个性化,会非常上瘾。这不是坏内容,仍然是好内容。

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The only way I see this workflow changing is if like we have chips in our brain which I don't think is going to come in many many years to come. So the human loop for creativity will always be there. I think content as a whole is going to have two sides. The Walmart and the Whole Foods. The Walmart will be a generated content, easily accessible. It's going to be all over social media. It's going to be funny. It's going to be personalized. It's going to be really addictive. It's not bad content. It's still good content.

另一方面,有些人仍然会想要“全食超市”。他们仍然想知道事物背后的人性。他们仍然想知道个人的看法,背后的人。那1%真正拥有人性的创作者将拥有更大的影响力,他们将获得更多的信任,你将能够建立更大的品牌,并且能够更广泛地传播你的信息。

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On the other hand, some people are still going to want Whole Foods. They're still going to want to know know the human behind things. They're still going to want to know the personal takes, the person behind it. The 1% that really have the humanity are going to have even more influence. They're going to have more trust, and you're going to be build bigger brands, and you're going to be able to distribute your message even further.

成为那1%会变得非常困难。但我认为中间的一切都会消亡。所以,如果你现在是一名内容创作者,或者你刚开始创作内容,我强烈建议你尽可能地保持人性化。

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It's going to be so much harder to be that 1%. But I think everything else in the middle dies. So if you are a content creator right now or you're just starting content, I would highly advise you to be as human as possible.

高效创作秘诀:AI辅助写作工作流

如果你是一个完全的初学者,并且想开始内容创作,我会建议你先问自己:我喜欢说话还是喜欢写作?我最终成为了写作型的人。所以,我决定从Twitter开始。如果你对AI感兴趣,我认为Twitter是一个很好的平台。那里有研究突破,有演示视频,有论文发布,而且它们只在Twitter上发布,不会在其他地方发布。

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If you're a complete beginner and you wanted to start content creation, I would start with asking yourself, do I enjoy talking or do I enjoy writing? I ended up being the writing archetype. So, I decided to start with Twitter. I think Twitter's a good spot if you are into AI. There are research breakthroughs, there are demo videos, there are papers that come out and they only get published on Twitter. They don't get published anywhere else.

所以,你必须在Twitter上非常活跃,才能跟上最新的进展,如果你真的想深入了解正在发生的事情。有一个小技巧,如果你不擅长写作,而你最好的想法都来自交谈。因为我经常和人们交流,他们会说:“嘿,我就是不擅长写作,我不知道如何在Twitter上写作,我也不知道如何在LinkedIn上写作。”

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So, you have to be very active on Twitter to be able to keep up with if you really want to get deep in the weeds and what's happening. So, there's a little hack you can do if you're not a writer and your best ideas come from talking. Because I talk to people all the time and they're like, "Hey, I just suck at writing and I don't know how to write on Twitter. I don't write on LinkedIn."

所以,我告诉他们一个可以开始使用的小工作流程技巧。基本上,你会使用一个叫做Whisper Flow(一种AI转录工具)的工具,或者某种AI转录工具。它们真的非常棒。你把它下载到手机上,然后你可以去散步,散步两个小时,你只需把想法随意说进这些笔记里。你可以说“嗯”,可以“啊”,你可以随心所欲地说任何你想说的话。

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So, there's a little workflow hack that I tell them they can use to start. And basically, you're going to use a tool called Whisper Flow or some kind of AI transcription tool. They're really, really good. And you download your phone and you can go on a walk, 2hour walk, and you just ramble ideas into these notes, and it you can say uh you can say um you can do whatever you want in and you can say whatever you want in this talk.

然后你要做的是,你回家后会得到所有的笔记。它会为你转录这些笔记,这些都是原始的想法,对吧?所以这些是你的想法,不是AI生成的想法。所以它都源于你的人类经验、人类观点和人类洞察力。

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And then what you're going to do is you're going to go back home, you're going to have all your notes. So it's going to transcribe these notes for you and these are raw thoughts, right? So these are your ideas. These are not AI generated ideas. So it all stems from your human experience, your human takes, your human insights.

然后你可以去一个云项目(此处指在云端部署的、经过个人数据(如推文)训练的AI模型)。例如,我用我最好的推文训练了一个云项目。我导出了我的Twitter数据,找到了那些表现最好的推文。我把它们放进去,并用我20多篇表现最好的帖子进行了训练。所以这个云项目是根据我的写作风格训练的。

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Then what you can do is you can go to a cloud project. I've trained a cloud project on my best tweets, for example. So I exported my Twitter data. I found those best tweets that performed the best. I shoved it in there and I trained it on like over 20 of my best performing posts. So this cloud project is trained on my writing style.

我会把那些原始的想法,有时它们很长,放进那个云项目里,它会吐出一个90%完成的草稿。再说一次,这是AI辅助写作,但它都源于人性。它源于我的想法,它确切地知道我如何写作。这对于普通人来说,是从字面上的想法和漫谈到90%准备好的帖子的一个非常好的方法。

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And I'll take those raw thoughts and sometimes they're really long and I'll just put it into a cloud project or that cloud project and I'll spit out a draft that's like 90% ready. And again, this is AI assisted writing but is all stemmed from humanity. It stems from my ideas and it knows exactly how I write. This is a really good way for average people to go from literal thought and rambling to 90% ready post.

利用AI拓展内容形式:视频与跨平台策略

我们知道很多人都在考虑创业,甚至可能是AI初创公司,但你却停滞不前。不是因为你缺乏动力,而是因为外面的一切都感觉像是复制品的复制品。这就是为什么我们推荐你查看HubSpot for Startups提供的这个免费资源:超过100个创意AI用例。

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We know a lot of you are thinking about launching a business, maybe even an AI startup, but you're stuck. Not because you lack drive, but because everything out there feels like a copy of a copy. That's why we recommend you to check out this free resource from HubSpot for Startups. Over 100 creative AI use cases.

这不仅仅是一本追逐潮流的攻略,它是一个包含100多个非常规、真实世界AI用例的数据库,涵盖30多个行业,向你展示如何在大多数创始人忽视的地方解锁竞争优势。它甚至包括了一些来自陶艺创始人Vuna Nant的想法。

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This isn't just a trend tracing playbook. It's a database of over 100 unconventional real world AI use cases across over 30 industries showing you how to unlock competitive advantages in places most founders overlook. It even includes a few ideas from a clay founder Vuna Nant.

以下是你将从这份攻略中获得的收获:每个用例都包含对机会的清晰描述、如何开始的逐步指导、预期的业务成果和影响,以及从初级到高级的难度评级,这样你就可以选择符合你能力的想法。这个数据库是由HubSpot for Startups创建的,它是今天视频的赞助商。非常感谢他们免费向社区提供。现在,回到视频。

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Here's what you'll take away from the playbook. Each use case includes a clear description of the opportunity, step-by-step guidance on how to get started, the expected business outcome and impact, and a difficulty rating from beginner to advanced so you can pick ideas that match your capabilities. This database was created by HubSpot for Startups, today's video sponsor. Huge thanks to them for making it free and available to the community. Now, back to the video.

大约一年前,我的所有受众都告诉我必须做视频。我同意他们的看法,我必须做视频,但我每周工作80小时。我是一名创始人,内容创作者,还有一百万件其他事情要做。所以我说:“嘿,我们怎样才能把我的文字内容变成短视频,而我本人又不用出镜?”

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About a year ago, all of my audience was telling me I have to do video. I agree with them. I have to do video, but I work 80 hours a week. I'm a founder, content creator, and I have a million other things going on. So, I said, "Hey, how can we turn my writing into short form video without me being there?"

我们决定用AI克隆我的面部和声音。我们仍然使用我真实的文字和观点作为脚本,并且我们仍然进行大量编辑。所以其中包含一些故事叙述。我们想要涵盖的这些故事需要大量的研究,但基本上,我们把我的自然写作内容放入AI虚拟形象和AI声音中,然后添加B-roll(电影和电视制作中用于补充主镜头的辅助素材),将它们剪辑在一起,为Reels和短视频创造一个引人入胜的故事。

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We decided to clone my face and voice with AI. We still use my real writing and real takes to use it as a script, and we still edit a lot. So there's a little storytelling. There's a lot of research that goes into these stories that we want to cover, but basically we take my natural writing, we put into AI avatar and AI voice, and then we add B-roll, we edit it together, and we create a compelling story for reals, shorts.

Instagram账户在一年内增长到超过16万粉丝。这仅仅是我们通过这种AI虚拟形象工作流程实现的。但不同平台上的算法或具体的“钩子”(hook)是不同的。例如,你在LinkedIn上的钩子是两行,Twitter上是三行,而Instagram上则是一行。

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The Instagram account has grown to under over 160,000 followers in the year. And this is just from this a avatar workflow that we did. But there are definitely algorithm or the hook specifically is different across platforms. Your hook for LinkedIn for example is two lines and your hook for Twitter is actually three lines or your hook for Instagram is one line.

有时我们会拿出我们表现最好的广告文案,然后通过Claude(Anthropic公司开发的大型语言模型)运行。我们会用我们的广告文案训练一个云项目,然后当我们为一些合作伙伴创建新的广告文案时,我们就会通过它运行,然后问:“嘿,什么能创造出最好的广告文案?”它会给我们一个很好的草稿,然后我们仍然会在此基础上进行全面修改。

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Sometimes we'll take our ad copies, our best performing ad copies and we'll basically run it through Claude. We'll train a cloud project on our ad copies and then when we have new ad copies we have to create for some of our partners, we'll run it through there and we'll say, "Hey, what can create the best ad copy?" It'll give us a good draft and then we'll still fully revise off that.

真的,没有所谓的创作者学校。最好的学习方式就是通过自己的实践,但你也可以看看那些比你领先很多、激励你的人,看看他们到底在做什么,或者如果你达到了可以私信他们的水平,甚至可以去问他们。但那是我会做的事情。

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Um, and really there's no creator school. The best way to learn is just through your own practice, but you can also look at people who are are way ahead of you that inspire you and see exactly what they're doing or possibly even asking them if you're at the level where you can and DM them. But that's what that's what I would do.

培养AI思维:日常习惯与学习分享

我们相信AI是通过习惯来学习的。我们教你学习有三种方式。如果你做到其中之一,你就会做得很好。你会成为这个领域的主要早期采用者。

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We believe AI is taught through habits. There's three ways that we teach you can learn. If you do one of these, you're going to be well off. Like you're going to be major early adopter in the space.

所以,第一步是每天在工作时问自己:“AI能做这件事吗?”如果你不知道,你可以直接问ChatGPT:“AI能做这个X任务吗?”这就是提示。一个简单的提示。一个专业技巧是把它写在便利贴上,贴在你的笔记本电脑屏幕上,但要不断问自己,当你做那些繁琐的事情时:“AI能做这件事吗?”

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So it starts with number one, which is ask yourself every day when you're doing something at work, could AI do this? If you don't know, you can literally ask chat, could AI do this X task? That's the prompt. Simple prompt. And like a a pro tip would be just put it writing on a sticky note and putting it on your laptop screen, but just constantly asking yourself when you're doing tedious things, could AI do this?

你会建立一种思维模式,比如“哦,AI能做这个,AI不能做这个”,而且它会随着时间演变,因为AI的能力,我们正处于其发展之中。所以,这真的是你应该问自己的问题。

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You're going to build this mindset of like, oh, AI can do this, AI can't do this, and it evolves over time because AI capabilities, we're living in the middle of it. So, this is really the question you should ask yourself.

第二步是,当你发现“哦,AI能做这个”时,找出最适合解决那个特定问题的工具,然后花几个小时。对我来说,我每个星期天都会这样做。我喜欢测试工具。你可能会失败。你可能会实现自动化,那将非常棒。你将有更多时间做更高层次的事情。你可能会失败,但失败也没关系,因为你会了解到AI目前还不能做什么。

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The second step of it is when you do find something that oh AI can do this, figure out the tool that's best for that specific problem you want to solve and then spend a couple hours. It could be for me I do it on Sundays every single Sunday. I love testing tools. You might fail. You might automate it which will be amazing. You're going to have way more time to do higher level things. You might fail and that's okay if you fail because you're going to learn where AI can't do things yet.

这就是AI直觉:知道何时以及何时不使用工具,何时它比你更好,何时它不如你。然后第三点就是分享你的学习。我发现最好的学习方式就是分享事物。显然,我就是这样建立起一个业务的。但你不必在社交媒体上发布。你也可以在Slack(一款团队协作和通讯平台)上与你的团队分享。你可以和你的妈妈、爸爸或朋友分享。

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And that's what AI intuition is. knowing when and when when not to use the tool when it's better than you and when it's not better than you. And then the third is just sharing your learnings. I find the best way to learn is by sharing things. That's obviously how I grew a business off of the back of that. But you don't have to post on social media. You can also share it with your team on Slack. You could share it with your mom or your dad or your friends.

仅仅与他人分享你正在学习的东西,不仅对你自己有好处,也会让你成为办公室里那个“AI专家”。这将有助于你的职业生涯,有助于你的友谊,也将有助于你生活中的许多事情。所以,这是第三个技巧。

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Just sharing what you're learning with others is going to be good not only for your own sake but also kind of become the go-to AI guy around the office. And that's going to help you with career, that's going to help you with your friendships, that's going to help you uh with a lot of things in life. So, uh that's the third tip.

内容创作者的未来:影响力的蓝海

我个人不太关注政治,所以我无法判断谁对谁错。但你可以看看像Joe Rogan(美国知名播客主持人)这样的人,他们可以说影响了选举,他们就是内容创作者。这相当疯狂。如果你50年前告诉一个农民,会有这种叫做内容创作者的工作,他们会在网上建立粉丝群,并且能够影响选举。这太疯狂了。

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I'm not into a lot of politics personally and so I'm not in the space to be able to say who is right or wrong. But you could look at someone like Joe Rogan boys, they arguably influenced the election and they're content creators. That's pretty insane. If he told a farmer 50 years ago that'll do this job called a content creator, they would grow a following online and they would be able to influence an election. That's insane.

我认为这只会变得更加疯狂。达到那种影响力水平并建立一个个人品牌会变得更加困难,随着AI生成内容的兴起,这会变得更加困难。我认为这些创作者将是下一批亿万富翁。这些创作者几乎将掌控世界。

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I think that's only going to get crazier. It's going to be harder to get to that level of influence and to grow a brand, a personal brand to that level. So much harder with the rise of a gener content. I think those creators will be the next billionaires. Those creators will run the world almost.

内容创作者处于最佳位置,他们拥有分发渠道,他们拥有数据,这意味着他们知道受众想要什么。他们可以调查受众,找出他们想要什么,然后他们可以创造任何东西。每个人都在谈论垂直化AI SaaS,比如用于法律的AI,用于会计的AI。这些都是获得大量资金的巨型初创公司,但没有人谈论垂直化内容创作者

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Content creator is kind of in the best position where they have distribution, they have data as in they know what the audience wants. they can survey their audience and figure out what they want and then they can create anything. And everyone talks about verticalized AI SAS, right? Like AI for law, AI for uh accounting. These are huge startups getting all this money, but no one talks about verticalized content creators.

再说一次,这来自一个非常广泛的内容创作者,但我可以告诉你,垂直化内容蓝海(商业策略中指未被开发或竞争较少的市场空间)。没有人正在做法律AI内容。而且需要有人来做。你会找到好运的机会。当你找到它们时,作为内容创作者,你的职责就是全力以赴。这意味着你可能需要每周工作超过40小时。这意味着你可能需要做一些普通工作不需要做的事情。

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And again, that's coming from someone who is a very broad content creator, but I can tell you verticalized content is blue ocean. Nobody's doing AI for law content. And someone needs to be the guy. you're gonna find lucky breaks. And when you do find them, it's your job as a content creator to just go all in on it. That means you might have to spend more than 40 hours a week. That means you might have to do things that others regular jobs you wouldn't have to do.

但势头就是一切。一旦你找到那个好运的机会,你就要全力以赴地抓住势头。我认为这更难,但它仍然是一个非常大的蓝海,因为内容领域有太多问题需要解决。

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But the momentum is everything. And once you find that lucky break, it's like you got to just go all in on the momentum. I think it's harder, but it's still very blue ocean because there's so many problems that need to be solved in content. So yeah,

Simom真的很有趣。这是一次很棒的采访。他对许多更深层次的问题给出了很好的答案。其中一个特别有趣的是他的“零人公司”的理念,甚至CEO也可以被代理人取代。所以,我不知道,这让我觉得很酷。我们正生活在一个非常酷的时代或时期,这有点像是“创意人时代”。如果你有一个有趣的想法,就去实现它。因为事物发展得非常快,能力增长得也很快,是的,现在是成为企业家的最佳时机。所以,这可能是我最大的收获。

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Simom is really interesting. It was a great interview. He gave really good answers to a lot of these like further out there questions. One that was particularly interesting was his zero person company Betting Pool CEO can also be replaced by an agent. So I don't know, it just brings me to like this cool. We're living in this really cool spot or period in time where it's kind of the age of the idea man. like if you have an interesting idea just go build it. Uh because things are get growing really fast, capabilities are growing fast and yeah just most amazing time to be an entrepreneur. So that would probably be my biggest takeaway.

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