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咱们来聊聊，如果你不是程序员，不在硅谷，也没上百万美元的启动资金，2026年到底能做什么样的AI生意。
Let's talk about what AI business can you actually start in 2026 if you're not a coder, not in Silicon Valley, and don't have a million dollars in funding.
过去六个月，我在播客里问过不少创始人、运营者和投资人这个问题。
Over the last six months, I've asked this question to founders, operators, and investors on this podcast.
比如传奇投资人雷德·霍夫曼、谷歌的罗比·斯坦，还有11Labs的创始人马蒂·斯坦日谢夫斯基。
People like Reid Hoffman, a legendary investor, Robbie Stein from Google, and Mati Staniszewski, the founder of 11Labs.
有意思的是，这些人都是业内行家，他们没给什么空泛的建议，反而反复提到一些非常具体、非常实在的机会。
And what's interesting because they're insiders in the industry, instead of vague advice, they kept pointing out the same thing, very specific, very practical opportunities.
过去想做一家真正的公司，你得有团队、有资金，缺一不可。
In the past, to build a real business, you needed to build a company with resources, with funding.
我记得我们刚做第一个网站的时候。
I remember building our very first website.
就一个最简单的落地页，都得找程序员来写。
We needed coders for a very basic landing page.
那是2011年的事了。
That was 2011.
现在有了AI，一切都变了，而且变得特别快。
Now with AI, everything is changing and is changing so fast.
你口袋里等于有个合伙人，还自带律师、会计、网页设计师、市场专家，几乎都不用花钱。
You basically have a co founder in your pocket, a lawyer, an accountant, a web designer, a marketer, all of them almost for free.
所以机会一下子多了起来。
That's why the opportunities have exploded.
比如同为创业者、Vyse公司CEO的萨米尔·瓦萨瓦达。
Take Sameer Vasavada, an entrepreneur, the CEO of Vyse.
我问他过去三年公司里有什么变化，他是这么跟我说的。
I asked him what changed in his company in the last three years, and here's what he told me.
我们曾经有将近一百六十号人，现在只剩四十人左右。
We had a 150 people, 160 people at one point in time, and now we are closer to 40.
现在只有四十个人，但各项指标却是以前一百六十人时的十倍。
And we are doing 10 times better from a metric standpoint with 40 people than what we were doing with a 160 people.
他们从一百六十人缩减到四十人，业绩反而提升了。
They went from a 160 people to 40, and their performance improved.
这可不是什么未来的预测。
That is not a future prediction.
这已经在真实公司里发生了。
That's already happening inside real companies.
在这段视频里，我会拆解六个AI商业模式，从你这周就能启动的，到能做成真正产品的。
In this video, I'll break down six AI business models from the fastest ones you can start this week to the ones that you can turn into a real product.
每个模式，我都会讲清楚它是什么、为什么现在能成，以及你怎么拿到第一个客户。
For each, I'll talk about what it is, why it works now, and how you'd actually get your first client.
那我们从第一个点开始，这个我最近经常聊的：做你所在行业的AI顾问。
So let's start from idea number one, something that I've been talking about a lot, AI consultant for your industry.
复杂度低，上手容易。
Complexity, easy.
你根本不需要开发产品。
You don't need stack product.
尤其是想到现在刚毕业的年轻人，入门级岗位越来越少，这恰恰是最适合他们的方向。
And actually, when I'm thinking about recent graduates who are graduating into our market with entry level jobs disappearing, this is your sweet spot.
你是在这个AI时代长大的。
You are growing up in this AI world.
你有充足的时间和精力去尝试这些工具，研究它们在特定行业中的应用，然后开始做咨询。
You are the one who has all the time in the world, all the energy in the world to try out those tools, to research them for a particular industry, and start consulting.
起步根本不需要任何东西。
And you don't need anything to start it.
你只需要证明自己懂AI，能用AI帮企业解决实际问题。
You just need to prove that you understand AI and can solve real problems for businesses with AI.
看看这个数字。
Just look at this number.
硅谷传奇加速器Y Combinator，曾经投资过Airbnb、Stripe和Dropbox，就在上个季度投了3600万美元给AI代理初创公司。
Y Combinator, the legendary accelerator here in Silicon Valley that funded Airbnb, Stripe, and Dropbox, just bet $36,000,000 in one quarter on AI agent startups.
现在，Y Combinator每期孵化的项目里，大约六成都是原生AI项目。
Roughly 60% of every YC batch is now AI native.
获得投资的公司，都在开发这些工具。
The companies getting funded are building the tools.
总得有人把这些工具真正用到现实世界里吧。
Someone has to deploy them into the real world.
对你来说好消息是，大多数公司到现在还不知道怎么在业务里用AI代理。
And great for you is that most companies still have no idea how to use AI agents in their business.
我问过里德·霍夫曼这个问题。
I asked Reid Hoffman this.
如果你现在在美国拿的是普通薪水，比如每年六万到八万美元——你可以换算成你所在国家的等值金额——你该怎么把收入翻倍？
If you're making an average salary, say, 60 to 80 k a year in The US right now, and you can translate to whatever it is in your country, what do you do to double your income?
你得把整个这段话听完。
Listen to the whole thing.
我觉得今年才是真正开始看到更多应用场景的时候。
I think this year is when we really begin to see more of the applications.
比如说，我该怎么把生意做得更好？
So like, how do I run my business better?
我该怎么优化我的供应链分析、财务分析、风险评估，或者市场营销和销售？
How do I do my analysis of my supply chain or my financial analysis or my risk analysis or my marketing or my sales?
我该怎么把这些事情做得更好呢？
How do I do any of that stuff better?
他们迟早会开始关注这个的。
And they're gonna start looking at it.
当然，他们可能会先找内部的人帮忙，但每个人都会意识到，我干这行很久了，突然转向完全新的东西，实在不容易。
And sure, they'll go to some other internal people, but everyone's gonna start going, well, I've been doing this job and adopting the jumping to the totally new thing is hard for me.
所以一部分问题是，好吧。
So part of it is like, okay.
先试着迈出这一步，去尝试新东西。
Start jumping to the new thing.
太棒了。
Love it.
简单说，这个商业思路或者加倍收入的办法就是：在某个领域把工具用熟了，然后去帮别人。
So basically, the business idea or the doubling of idea, you get proficient in tools in some area and go help
没错。
all the Yes.
是的
Yeah.
并且要展示出来。
And demonstrate.
里德用的关键词是‘可被找到’。
The keyword Reid used was findable.
现在整个游戏就是这个。
That's the entire game right now.
公司都知道他们需要人工智能。
Companies know they need AI.
但他们不知道该信任谁。
They just don't know who to trust.
谁会是那个带他们走进人工智能世界的人呢？
Who'd be that person who will introduce this world of AI to them?
通过发布实证，让自己更容易被找到。
You make yourself easy to find by posting proof.
所以这就是你的行动步骤。
So here's your action step.
说实话，我会选这个方向。
This is the idea I'd honestly pick.
如果明天我刚满二十一岁，我会从这里开始。
And if I was 21 years old tomorrow, I start with this.
我会挑一个我本来就懂的领域。
I'll pick one function I already understand.
比如市场营销，或者财务。
Say marketing, finance.
我懂留学、运营、人力资源、语言学习，不管是什么都行。
I understood study abroad, operations, HR, language learn, whatever it is.
接下来三十天，就在领英上发真实的案例，配上截图和数据。
Spend the next thirty days posting actual case studies with screenshots and numbers on LinkedIn.
比如说，这是整个流程。
Like, here's the process.
问题出在这里。
Here's what's broken.
我用AI解决了这个问题，现在每天只花五分钟。
Here's how I fixed it with AI, and now it only takes five minutes a day.
最后，来看看实施前后的成本对比。
In the end, here's the cost before and after.
你的目标不是走红。
Your goal isn't to go viral.
而是向未来的客户展示实实在在的证据。
It's to show proof to your future customers.
只要你坚持这么做，第一个客户通常会来自已经关注你的人，而不是陌生开发。
And if you do this consistently, your first client will usually come from someone already watching, not from cold outreach.
第二个想法：面向本地企业的地理定位策略。
Idea number two, GEO for local businesses.
同样，实现起来非常简单。
Again, very easy in terms of complexity.
你不需要什么文字标签，用你已经在用的AI搜索工具就够了。
You don't need text tag, just AI search tools you already use.
美国有三千三百万家小企业靠谷歌吸引客户。
33,000,000 small businesses in America rely on Google for customers.
现在，他们的客户都在问ChatGPT、Gemini和Perplexity。
Now their customers are asking ChatGPT, Gemini, and Perplexity.
奥斯汀最好的牙医是哪家？
What's the best dentist in Austin?
丹佛最好的汽修店是哪家？
What's the best mechanic in Denver?
那些在搜索结果里冒出来的商家，根本不是投了谷歌广告的那些。
The businesses showing up in those answers aren't the ones paying for Google ads.
他们是被文章、黄页和博客提到过的那些。
They are the ones mentioned in articles, directories, and blog posts.
其实，喂给聊天机器人的三大信息源是Reddit、LinkedIn和YouTube。
In fact, top three resources that feed our chatbots are Reddit, LinkedIn, and YouTube.
所以很多企业已经意识到，他们的客户正在从传统搜索转向这些生成式引擎。
So a lot of businesses already understand that their clients are migrating from just search to these generative engines.
你可以帮助他们在这个新兴的搜索渠道中吸引到新客户。
You can be the one who helps them get customers from this new medium that we're using for search.
我专门采访了谷歌搜索的产品副总裁罗比·斯坦，他清楚地解释了其中的运作机制。
I sat down with Robbie Stein, VP of product at Google Search, and he explained clearly how it works.
那我现在该重点做什么，才能被人工智能推荐呢？
So what should I focus on right now to be recommended by AI?
事实上，我的企业已经被人工智能推荐过了。
And actually, my business is recommended by AI.
那是因为我们一直坚持做大量内容。
We just because we were doing a lot of content.
不过，对于我业务中那些还没被推荐的部分，我该在哪些方面加大力度，才能让AI注意到我？
But maybe for, you know, some segments of my business that are not recommended, what should I double down on for AI to consider me?
对。
Yeah.
有趣的是，AI思考问题的方式跟人很相似，它会提出类似的问题。
Interestingly, the AI thinks a lot like a person would in terms of the kinds of questions it issues.
所以如果你的企业被提到过，比如出现在热门商业榜单上，或者被很多人的文章引用过，这些信息对AI来说就特别有帮助。
And so if you're a business and you're mentioned, you know, in, you know, top business list or from a a public article that lots of people end up finding, those kinds of things become useful for the AI to to find, you know,
所以这就是为什么企业公关这么重要。
why business PR.
我最近听到很多人提到这一点。
That's something I've been hearing a lot.
从这个角度看，其实跟以前的做法没什么不同。
So it's not it's not really different from what you would do in that regard.
说到底，你还会靠什么来决定去哪家店呢？
Think, ultimately, how else are you gonna decide what business to go to?
你当然得先了解清楚这些信息。
Well, you'd wanna understand that.
但有时候我也会做公关，然后问朋友：你看到那篇文章了吗？
But also, like, sometimes I invest in PR and ask my friends, have you seen that article?
他们都说没有。
And they're like, no.
但我问AI的时候，它真的能看到那篇文章，并且会利用里面的信息。
But then I ask AI, and it really sees the article and it uses that information.
所以现在你花钱做公关，不是为了让人看到，而是为了让AI看到。
So now you're investing in PR and not for people to see it, but for AI.
这确实是个很好的思考角度。就像我之前说的，我们的AI模型运作方式，其实就是把Google搜索当作一个工具来使用。
That's actually a good way of thinking about it because the way I mentioned before how our AI models work, they're issuing these Google searches as a tool.
所以，就像你会优化自己的网站，思考如何为人们提供有用且清晰的信息一样。
And so in the same way that you would optimize your website and think about how do I make helpful, clear information for people?
比如，人们会搜索某个特定的话题。
So people search for a certain topic.
我的网站对解决这个问题非常有帮助。
My website's really helpful for that.
你可以想象一下，AI现在进行的就是这样的搜索。
Think of an AI doing that search now.
是的
Yeah.
然后针对这个查询，系统会判断出哪些网站是最合适的答案。
And then knowing for that query, here are the best websites given that question.
这些网站的内容就会被纳入模型的上下文窗口中。
That's now come will come into the context window of the model.
所以当模型生成回复并为你提供这些链接供你深入了解时，这些网站更有可能被优先展示。
And so when it renders a response and provides all of these links for you to go deeper, that website's more likely to show up.
对
Yeah.
因此，传统上构建优质内容的最佳实践，在人工智能时代依然非常适用。
And so it's a lot of that standard best practices around building great content really do apply in the AI age for sure.
罗比说得对。
And Robbie is right.
我现在在我的媒体业务中就亲眼看到了这一点。
I'm seeing it in my own media business right now.
几个月前，我搜了一下自己的播客，结果根本找不到。
And then I went and googled my podcast couple months ago, and it wasn't really showing anywhere.
后来我们开始着手改进。
And now we started working on it.
我们就让Claude帮我们制定一个策略。
And we just asked Claude to create us a strategy.
我有个专人负责和Claude沟通，然后执行所有任务。
I have a person who talks to Claude who executes everything.
她根本没有GO背景，但我们现在在那些来自大模型的搜索请求里排名已经上升了，转化率也高得多。
She has no background in GO, but we're already rising in different requests that people who come from those LLMs, they are converting much faster.
总的来说，这类客户更容易打交道。
They're just, in general, easier clients to work with.
说到我们的邮件通讯，我们发现ChatGPT有时候会推荐它，通过ChatGPT订阅的人，打开率高达80%。
When it comes to our email newsletter, we noticed that sometimes ChatGPT recommends it, and people who subscribe through ChatGPT have 80% open rate.
这比我们平时40%到50%的平均打开率好太多了。
Like, and this is really good compared to 40 to 50% that we're getting on average.
这周你的行动步骤是：选出你所在城市或周边地区的三家本地企业，或者你熟悉的某种类型的企业。
So the action step for you this week, pick three local businesses in your city or maybe the area or maybe type of businesses that you know.
去访问ChatGPT、Gemini和Perplexity。
Go to Chad GPT Gemini and Perplexity.
问它们：你们城市最好的牙医是哪家？
Ask h one, what's the best dentist in your city?
如果你想推广自己的播客，也可以这么问。
Maybe you want to promote podcast.
问问关于播客的事。
Ask about podcasts.
如果你选的这些企业没出现在结果里，那这就是你的切入点。
And if the businesses you've selected don't show up, that's your pitch.
第三个想法：语音AI接待员。
Idea number three, voice AI receptionist.
这个方案难度中等，但特别有意思。
This is actually medium complexity, but it is so interesting.
你需要一些基础的技术栈，其实学起来并不难。
You will need some basic tech stack, which is not hard to learn.
现在，这项技术虽然已经存在，但很多企业还没用上，中间差距很大。
And right now, there's a massive gap between this technology existing and businesses actually using it.
去问问11Labs的首席执行官马蒂·斯坦日维斯基，如果让他从零开始，怎么快速月入一万美金。
Ask Mati Staniszewski, CEO of 11Labs, the biggest voice AI company in the world, what he'd do if he had to start from zero and make 10 k a month fast.
这会是专门针对语音的，但我觉得现在还太早了，真正有潜力的是语音助手背后的基础设施正在快速搭建。
It will be voice specific, but I think it's so so early that I think it's it's a huge one is there's definitely a lot of the infrastructure being built for the voice agents.
我们在做，其他公司也在做。
We we we we build it, but other companies are are are too.
我觉得语音助手和实际落地到这些企业之间，还存在很大一段距离。
And I think there is a big gap between voice agents and then actually deploying them in a lot of those businesses.
你不需要懂工程，也能部署这些语音助手。
And you don't have to have the engineering expertise to deploy those voice agents.
现在的平台通常都支持自助式操作，上手很容易。
The platform now frequently will support a relatively self serve manner of taking it.
但你可以轻松地把这个语音助手应用到特定领域中。
But you can easily take that voice agent and deploy that in specific domains.
世界上大多数企业甚至还不知道这项技术的存在。
And most of the businesses in the world still don't know don't know about it.
如果你不是要做那种需要风投支持的大型项目，只是想稳稳赚钱，我建议你拿这个语音助手去本地诊所，帮牙医预约挂号，让客户能更方便地约时间。
If it's, you know, not a venture scale business and you just want to make good money, I would try to take those voice agents and go to, let's say local doctor's office and help them appointment schedule for for for the dentist so they can take appointments more easily.
这样医生就能专心看病，不用让护士在中间忙于接电话或漏掉预约。
And they can then focus more on the work instead of nurse doing that in between or missing appointments.
这其实是特别常见的情况——虽然我说不准具体比例，但很多时候因为没人接电话，预约根本就挂不上。
That's actually one of the most common, I don't know the the percentage, but so frequently those those appointments don't get booked because there's no one on the phone and can take them.
你也可以去找附近的汽修店，帮他们处理预约。
You can go to local mechanics and help them take appointments.
这些场景都需要你对每个领域做一点针对性的调整。
And I think there's all of these require slight variation of the domain piece that you need to know.
只要你能拿下几家，每个月的收入就能达到几千甚至上万美元。
And all of those businesses are in thousands to tens of thousands of dollars per month if you get it to the few.
他们的基础设施已经有了，你只需要把这项技术带过去就行了。
Their infrastructure is there, you just need to bring it to those Yeah.
这就像用人工智能实现企业对企业自动化服务。
It's like b to b automated businesses with AI.
对。
Yeah.
还有大量中小企业都还没有利用上。
And small businesses all
而且你根本不需要懂编程。
along And don't have to be a coder.
你不需要是个程序员。
You don't have to be the coder.
你只需要花点时间，打电话过去问问，或者亲自上门去谈。
You just need to spend the time, call them and ask or go to them.
我觉得这个领域可能不会被那些大公司看重，因为他们更关注大型企业客户，而这里真正的机会在于中小型企业，而不是大企业市场。
And I think this is like this category which might not be taken off by by some of the biggest companies that will focus on bigger enterprise elements like that, you know, classic this is like small medium businesses rather than than than the enterprise segment.
但与此同时，大多数公司根本不知道这还能做到。
And at the same time, most of those companies just don't know this is possible.
所以明年或者后年，这简直是绝佳的机会。
So like next year or two is just an incredible opportunity to do it.
当然，我们现在主要面向英语市场，但我认为其他国家和语言地区也完全适用，因为很多工作都没做本地化。在这方面，我们做得还不错。
And of course, you know, start is in English speaking, but I think the same is true for so many of the of the countries and languages which which might be given so much of that work isn't always localized, I think in our case, we're doing a pretty good job there.
你可以把它带到本地市场，做完全相同的事情。
You can you can bring it to a local market and do exactly the same the same work.
接下来是行动步骤。
So here's the action step.
这周选一个垂直领域。
Pick one vertical this week.
牙医、律师、整骨师，随便你最感兴趣的都行。
Dentists, lawyers, chiropractors, whatever you like the most.
在谷歌地图上找你附近二十家门店，然后在午餐时间挨个打电话，数数有多少通是转语音信箱的。
Find 20 offices near you on Google Maps, then call each one during lunch hour and count how many goes to voicemail.
这就是你的推销话术。
That's your pitch.
我数过了。
I counted.
你这顿午饭时间漏了这么多电话？
You missed that many calls this lunch?
我每个月花500美元就能帮你解决。
I can fix that for $500 a month.
先帮几个客户做一下，拿个评价，然后再开始收费。
Do a couple for a testimonial and then start charging.
顺便说一下，我们团队在这频道上投入了大量心血。
By the way, guys, we work really, really hard on this channel.
如果你觉得这些内容有用，喜欢我的做法，那就订阅这个频道吧，别错过下一期。
So if you're finding this valuable and you like what I'm doing, please subscribe to this channel so you don't miss the next episode.
我们刚突破了150万订阅，这可是我刚开始做这个频道时的梦想，我很期待它还能成长到多大。
We just hit 1,500,000 subscribers, which was a dream when I started this channel, and I'm excited to see how big this can grow.
好的。
Okay.
第四个想法：为本地服务企业打造原生AI广告公司。
Idea number four, AI native ad agency for local service businesses.
这个想法的难度属于中等。
This is medium hard complexity.
你需要一套创意团队。
You need creative stack.
你需要文案能力。
You need copywriting.
你需要广告投放的技能。
You need media buying skill.
在这个想法里，你在技术基础上叠加了创意能力。
In this idea, you're adding creative skill on top of tech.
你要为客户运营广告投放活动，而不仅仅是帮他们搭建工具。
You'll run ad campaigns for clients, not just set up tools for them.
你可以去找房地产中介、医疗美容机构、牙科诊所、独立健身房。
You can go to real estate agents, med spas, dentists, independent gyms.
他们都想要更多样化的广告素材。
All of them want more ad variation.
他们现在的广告公司可能收他们几千美元，每个月却只交付几条广告。
Their current agency might be charging them thousands of dollars and delivering only a few ads per month.
你可以用AI提供成百上千种广告变体，价格还更低，全流程自动化。
You're gonna offer hundreds of variations for less money generated end to end with AI.
Higgsfield公司的创始人亚历克斯·马什拉博夫，那家公司年收入两亿美元，他亲口告诉我具体是什么时候发生的。
Alex Mashrabov, founder of Higgsfield, the company doing $200,000,000 a year, told me exactly when it happened.
你听好了。
Listen to this.
大家都忽略了这些摄像头控制功能。
Everyone was missing these camera controls.
所以我们三月份就把这个功能做出来了。
So that's what we delivered March.
到了四月，我们推出了一整套视觉特效库。
Then in April, we delivered a library of visual effects.
然后，我想是六月的时候，整个行业彻底变了。
And then, I think in June, industry completely changed.
我们看到了纯AI驱动的营销机构的兴起。
We saw the emergence of AI native marketing agencies.
这些机构基本上全程都用AI来完成工作。
So essentially, those agencies, they completely go end to end with AI.
而且他们常常绕开传统的工具，比如Adobe之类的，直接用AI全流程搞定。
And very often, they try to bypass incumbent tooling, like, for example, Adobe or something else, and go end to end with AI.
一方面，当时AI的能力还比较有限，所以他们的发挥空间不大。
On the one side, they are very limited because AI capabilities back in June were a little limited.
但另一方面，他们的利润率大幅提升，还向客户证明了几天内就能做出广告。
On the other hands, they drastically improved their margin profile, and they kinda showed their clients that they can build ads within days.
很多品牌都希望在社交媒体上持续输出内容，也愿意拥抱AI。
A lot of brands actually wanna have constant content flow on their socials, and they wanna embrace AI.
从六月到十二月，这种AI原生代理机构的新行业彻底爆发了。
And then from June to December, this this new industry of AI native agencies completely exploded.
你得赶上有这种增长的市场，因为这意味着你也会跟着增长。
And you want to be in a growing market like that because that means you're gonna be growing.
这可不是什么未来的趋势。
And it's not a future trend.
市场已经悄悄重塑了自己，而大多数人根本没注意到。
It's the market that already reshaped itself while most people weren't looking.
你们城市里大多数本地企业，到现在还没雇过这样的代理机构。
And most local businesses in your city still haven't hired one of these agencies yet.
他们还在给本地代理机构支付成千上万的费用。
They're still paying thousands their local agency.
明白了。
Okay.
第五个想法。
Idea number five.
比传统广告公司更难，因为创意要求高多了。
A bit harder than the ad agency because the creative bar is higher.
你不是在投广告。
You're not running ads.
你要每个月持续产出几十条视频内容，还得保持统一水准。
You're producing content at scale consistent across dozens of videos per month.
再跟你们说几个有意思的数据。
And, again, some fun facts.
到2025年春天，YC孵化的公司里将近一半都是垂直领域的AI代理。
By spring two thousand twenty five, nearly half of YC's entire batch were vertical AI agents.
到了2026年的那批项目，AI原生和内容生成类创业公司已经占了绝对主流。
And in their 2026 cohort, AI native and content generation startups now dominate.
这里说的主要是电商领域的内容生成。
Here, we're talking about content generation for ecommerce.
相关工具现在都拿到投资了。
The tools are getting funded.
Higgsfield 也是这类工具之一。
Higgsfield is one of those tools as well.
那些为真实品牌服务的营销公司，目前还在用这些工具，市场空间还很大。
The agency's market, they use those tools to serve real brands, is still wide open.
最好找那些付得起钱的客户。
Ideally, go for customers who can pay.
对吧？
Right?
比如护肤品、保健品、宠物用品、厨房小电器、健身器材这些领域。
It could be skincare, supplements, pet products, kitchen gadgets, fitness gear.
每个品牌都在疯狂烧钱，只为维持他们的抖音小店和 Instagram 广告不掉线。
Every one of them is burning money trying to keep their TikTok shop and Instagram ads alive.
他们每个月都需要大量新素材，就是那种手机随手拍的短视频，一个月得要三五十条，甚至上百条。
They constantly need fresh UGC, the handheld phone style videos, thirty, fifty, a 100 times a month.
请真人创作者拍一条视频，报价在一百五到五百美元之间。
Human creators charge a 150 to $500 per video.
我并不是说大家非得去跟UGC创作者合作。
And I'm not saying that people have to start working with UGC creators.
我其实已经做了一段时间的UGC内容了。
I have been creating UGC content for some time.
但作为生意人，我也明白，找真人拍摄的话，一个月最多能测试二十个左右，因为拍摄本身很耗时。
But also as a business owner, I do realize that with humans, we can test maybe 20 creatives a month because they're filming.
我们一直在测试。
We're testing.
我们用AI创作，是为了找出真正有效的脚本，因为可以快速生成成千上万条视频，上线测试，做A/B对比。
What we use AI creative for is to figure out a script that's working for us because we can generate thousands of different videos, launch them, do the AB test.
然后才发现，哦，原来这个才是真的管用。
And we're like, oh, this is what actually working.
等找到了效果好的，我再找我那些厉害的创作者朋友，说：咱们就用这个创意，已经验证过了。
And then I go to my amazing creator friends and be like, let's try this creative because it's working already.
至于效果，那真是潜力无限。
And in terms of the numbers, the sky is the limit.
你得先理清这个流程，但用上它之后，整个过程会快很多。
You need to figure out the process, but it really speeds the process up.
亚历克斯·马什拉博夫，这项技术背后的公司就是他创办的，我们在采访中他提到了这一点。
Alex Mashrabov, whose company makes the technology this is built on, dropped this during our interview.
我们只是问了他们一个很简单的问题。
And we just asked them very simple question.
你看过这个视频吗？
Like, did you see this video?
那是一个很酷的AI生成视频，他们却说：‘啊，不可能吧？’
This was a cool AI generated video, and they said, oh, no.
这怎么做到的？
How is this possible?
制作这个视频花了多少钱？
What's the cost?
我们告诉他们，其实拍这个视频成本不到500美元。
And we say, it actually cost maybe less than $500 to make this video.
这是你的行动计划。
So here's your action plan.
选一个产品类别。
Pick one product category.
比如护肤品、保健品、宠物用品，或者语言学习App。
Skincare, supplements, pet products, language learning apps.
用它们的产品图片制作五个真实的用户生成视频。
Make five sample UGC videos using their product images.
在Instagram上给创始人发私信。
DM the founder on Instagram.
我专门为你准备了这个。
I made this for you.
这里有五个免费的。
Here are five for free.
我已经用Clot测试过了。
I tested them with clot.
如果你喜欢这些，我可以继续做下去，定个价，比如一千份卖三千块，看看他们怎么回应。
If you like them, I can keep delivering and set a price, I don't know, a 100 for $3,000, and see what they reply.
第六个点子：垂直领域的AI产品。
Idea number six, vertical AI product.
很多人管这叫GPT包装器，去年很多风投都在投这类项目。
A lot of people call them GPT wrappers, and this is something that a lot of VCs were funding a lot last year.
现在风投圈对这个没那么狂热了，因为谁都能做个GPT包装器，但这也意味着整个市场变得更容易切入了。
It's less of a hype in the VC world right now just because anyone can now build a GPT wrapper, but that means the whole market is much more approachable now.
这种情况下，你要做的是一款软件产品，而且比以往任何时候都简单。
In this case, you're gonna be building a software product, and it's actually much easier than it ever was.
有些人一听到‘包装器’，就觉得不过是换个logo的ChatGPT。
So some people, when they hear rapper, think it's just Chattypu T with a different logo.
那凭什么有人愿意为此付费？
Why would anyone pay for that?
英国年度企业家丹尼尔·普里斯特利给我提供了一个最清晰的思维模型，说明这种想法完全错了。
And Daniel Priestley, UK entrepreneur of the year, gave me the cleanest mental model for why that's wrong.
大家默认认为，如果你比客户更了解某个特定领域，那就有价值，这时候你会收集一点他们的数据。
The assumption is that there is value in knowing more than the customer about a particular thing, and you collect a bit of their data.
再把你精心设计的优质提示词和这些数据结合起来。
You mix it with your amazing prompts that you've put a lot of thought into.
然后用一个比聊天界面更优秀的交互方式呈现出来。
You then put that into a new UX that's better than a chat UX.
通过这三方面——收集数据、使用更出色的提示词、深入优化交互体验——你就创造出了一个非常有价值的专用工具。
And between those three things of capturing data, prompting a set of much better prompts, and also thinking about the UX more deeply, you're now creating something that is a specialized tool that's very valuable.
一个很好的类比是，一百多年前，人们发明了电力，电力本身是个强大又神奇的东西。
And a good analogy would be that a hundred and something years ago, they created electricity and the electricity was this awesome, powerful thing.
但后来有人想到怎么应用电力，比如：我们可以用电来做个烤面包机。
But then people came up with applications for electricity and they said, oh, we can channel this electricity and make a toaster.
我们也可以用电烧水，这就叫电水壶。
We can use this electricity to boil water, and we call it a kettle.
没错。
Yeah.
或者，如果我们把电用在灯泡上呢？
Or what if we do this electricity into light bulbs?
于是人们把电转化成了这些专门的应用。
So they channeled the electricity into these specialized applications.
后来这些业务都发展成了非常出色的独立企业。
And then those businesses became amazing standalone businesses.
现在想象有个人跑过来说，这不就是个电的封装吗？
Now imagine someone came up and said, oh, that's just an electricity wrapper.
对吧？
Right?
你只是在把电包装一下而已。
You're just you're just wrapping electricity.
你懂我的意思吧？
You know?
就像，没错，我确实在用电力，但我用的方式非常特别，是专门为烧水和烤面包设计的用户体验。
It's like, yeah, I am harnessing electricity, but we're harnessing it in a very particular way in a user experience that's perfect for boiling water and perfect for toasting toast.
所以，大语言模型就是新一代的电力。
So LLMs are the new electricity.
它们能出色地生成语言、图像，或者多媒体内容。
They do this amazing language generation or image generation or or multimedia generation.
接下来，作为创业者，我们要思考：能不能通过更好的用户体验、更精准的提示词，以及更高效地收集用户数据，来优化这些能力？
And then it's up to us as entrepreneurs to say, can we improve upon that through UX, through better prompting, and through better ways of capturing user data?
如果我们能把这三件事做好，再把它们整合起来，就能打造出非常出色的企业。
And if we can do those three things and then wrap that up together, we can create these amazing businesses.
很多这样的企业，年收入可能达到四五百万元，利润率还能高达百分之五十。
Some of these businesses look, a lot of these businesses might end up doing 4 or 5,000,000 a year, and they might have 50% margins.
你甚至可能靠着一个高度自动化的B2B人工智能SaaS产品，一年赚两百五十万。
And you might make 2 and a half million a year with a like a very automated little SaaS, b to b AI enabled SaaS.
其实，像这样的小机会多得是，随便一个都能做成年收入五百万的高回报生意。
You know, there's just thousands of little opportunities where you could create a 5,000,000 a year IRR business.
如果你做对了，这将是收入天花板最高的方向，因为它能脱离你个人实现规模化增长。
If you hit this right, this has the highest ceiling in terms of income because it scales without you.
比如有一家公司叫Chestnut，是做AI房贷的；还有BitBoard，用AI优化医疗运营；Trapeze则用AI处理医疗呼叫中心。
For example, there's a company called Chestnut, an AI powered mortgage lender, BitBoard, AI for health care operations, Trapeze, AI for healthcare call centers.
这些公司每家都专注一个行业、一个具体流程，把AI嵌入到特定的提示词和定制化界面里。
Here, each one picked one industry, one workflow, and wrapped AI around specific prompts and a custom interface.
这就是所谓的GPT封装应用。
That is the GPT wrapper.
我刚才提到的那些要复杂得多，但也有一些相对容易做的。
The ones that I mentioned are much more complex, but there are also some that are easier to build.
比如我们做过一个产品，你上传简历，它就能自动帮你填满LinkedIn资料。
Like, we built a product where you upload your resume and it fills in your LinkedIn profile.
这事儿我们没花多少时间就搞定了。
It didn't take us long.
关键是我们有个懂LinkedIn、知道怎么打造吸睛简历的人。
What's important was that we had a person who understands how to run LinkedIn and how to create profiles that are gonna get attention.
她把自己的经验全都教给了Lovable，然后用Vibe把这应用写出来了。
So she unloaded her knowledge into Lovable and vibe coded that app.
这是你的行动方案。
So here's your action plan.
选一个你熟悉、有专长的行业。
Pick an industry you know where you have some expertise.
列出这个行业中人们每周都会做、却特别烦的三件重复性工作。
Write down three repetitive tasks people in that industry do every week that drive them crazy.
挑出最让人头疼的那个，用更好的提示词和更简洁的界面，把模型封装起来，这个周末就在 Lovable 里把它做出来。
Pick the most annoying one, wrap a model around it with better prompts and a cleaner interface than generic chat GPT, and build it this weekend in Lovable.
找十个这个行业的实际用户来测试，看看他们愿不愿意付费。
Test with 10 real people in that industry and see if they're willing to pay.
如果有三个人愿意付钱，你就有了一个生意。
If three pay, you have a business.
以上是我从最容易到最难的六个想法。
Those were my six ideas from easiest to hardest.
这些全都是真实可行的。
All of them are real.
其中一些，我自己在试着做。
Some of them, I'm trying by myself.
现在所有这些都在推进中。
All of them are in motion right now.
现在正是开始的好时机。
The window to start is open.
你不需要会编程。
You don't need to be a coder.
你不需要是个研究实验室。
You don't need to be a research lab.
你不需要上百万的资金。
You don't need millions of funding.
我们正生活在一个无比精彩、令人兴奋的时代。
We live in this most amazing, exciting time.
挑一个想法动手吧。
Pick out one of the ideas.
动手做起来吧。
Start building.
先试着玩一玩。
Start playing with it.
当然，你可能会失败。
And, yes, you might fail.
不是每个点子都适合每个人，但你会从中了解很多关于自己的事——你喜欢什么，什么样的事业最适合你。
Not every idea fits everyone, but you're gonna learn a lot of things about yourself, what you like, and what's the best business for you.
如果你在想，好吧。
And if you're thinking, okay.
这太棒了。
This is amazing.
我想马上开始做。
I wanna start building.
我该用什么工具？
What tools do I use?
听听这段与斯坦福人工智能专家基安·卡坦·法鲁什的对话。
Listen to this conversation with Kian Katan Faroosh, Stanford AI expert.
我们跟他聊了很多关于你需要掌握的AI技能，以及哪些工具组合能帮你提升这些技能。
We talk to him a lot about AI skills that you need and AI stacks that helps you develop those AI skills.
非常感谢，我们下一段视频再见。
Thank you so much, and I'll see you in the next video.
再见。
Bye.
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