Full transcript of “9 AI Skills You MUST Have to Become Rich in 2026”. Click a timestamp to open the video at that moment. Need another video? Use the YouTube transcript generator.
0:00 So today I'm going to be talking about the nine AI skills you must have to become rich in the era of AI. Now the people getting rich from AI right now are not the smartest ones. They're the ones with better foundational skills. I sold my AI company for millions of dollars at age 30. Now I teach millions of people AI for free. And I can tell you you don't need to be technical. You don't need to build a product like I did. But you need to augment yourself and your team. Use AI to become 10 times more productive and valuable, not to replace yourself or your team. With AI, you can help one person do the work of an entire team. But the window is closing. This will become basic knowledge for everybody in just a few years. So stick around. I'll give you the exact prompt to use when you're stuck. And let's dive in. So here are
0:46 nine skills to win in AI, starting with the one most people skip. But first, hit like, hit subscribe, and hit the notification bell so you never miss a training. So, skill number one is learning how to change your default reaction. So, when people get stuck or confused about something or they get flustered or they want help, usually a person's default reaction is to ask somebody else or search on Google or just get stuck and go into a vicious cycle like overthinking what you should be doing. So skill number one is changing your reaction. Your default reaction should be to ask AI first. So let's say you encounter a problem like I was setting up this new tripod and a camera thingy and I was like these
1:32 instructions are terrible. I don't know what to do. So I used Chad Gubt mobile app and I just took photos of what I was staring at. Like I was staring at this large tripod thing. I was staring at this other thing and I was like what do I do here? And that's my default reaction to problems. So when you have a problem, I get 99% of people today will just honestly they'll just stay feeling stuck and frustrated or they'll search on Google and then they also get stuck and frustrated because there's a billion links and ads you might accidentally click on that are useless. Um or they ask somebody else. You feel like you don't have the answer. Maybe somebody else has the answer. Maybe that guru over there has the answer in their really expensive course. The comments are littered with people who are like,
2:18 "Well, how do I do this for this industry?" And like all of these people should just be asking their question to AI because the likelihood of me reading your comments, answering, and then you actually checking my answer and doing something about it is just really, really low by that point. Okay, take your question and go ask chat. Go ask Claude. This should be your default reaction. Skill number two, even if you use AI every day, even if this is your default reaction. Okay, so let's say you succeeded in step one and making this your default reaction when you encounter a problem. The second thing you have to do is develop the skill of skepticism. Uh but the thing is if you develop this reaction, so now you go to AI every time you have a problem. The problem is not
3:04 everything AI tells you is correct. Uh so there are phrases like trust but verify and what that means is like the information is mostly good but there could be stuff in there that is totally false and you have to be careful. So one famous example is like a lawyer who cited three fabricated cases because chat GP told him about those cases and they got in trouble obviously trying to do that in court. Okay. So just as a general workflow rule like don't just believe it because it's a link. go click the link and see what the link says. This is like generally the flow of things that you want to do with AI because the reality is expert in a field who's used AI heavily knows this. You can get AI to say pretty much anything
3:49 you want and that can be problematic if you are trying to figure out like what is the right decision in this context or if you're doing a lot of research and it's hallucinating different answers. So even though you should never blindly trust what AI says, it helps significantly if you pass in a lot of context, just in general, the quality of the answers you get from AI are strongly correlated to the context you're feeding in. And all I mean by context is like the additional background information you're giving AI. Let's do a good versus bad example. So bad example might just like write me a post, like a social media post. AI will ask you some clarifying questions obviously because it has no idea what you want. But it would be better if in the first place we just supplied some of that context and
4:36 it's not that complicated. So this is one lately cuz people love acronyms. So I just made one with acronyms here. Give it the task like your task is to write a social media post. Give it the additional information. Okay? So say like my business is Blot. We help business owners achieve Y outcome or whatever it is that you do. uh give it constraints. Okay, here let's say we don't target agencies. This is very specific to social media, but let's say your business targets audience A, but it doesn't target audience B. So, that could be a constraint. And then my favorite part and honestly is a ask me clarifying questions. Um, but this is the simple difference between kind of a bad prompt that has no information about what you should do, what good looks
5:22 like, what bad looks like. Imagine you're talking to a person and you are giving them this assignment. They would be like really confused if you only gave them three words on what to do and then most importantly you will be unhappy with the result because you'll be like that's not what I told you to do. Um whereas a good use of context is just supplying what it is you want them to do. The task additional information, right? Like here's my business, here's what I do, here's what I'm trying to sell. And then constraints like I'm not trying to sell to this audience or there's specific verbiage or phrasing I never want to use. And then at the very end, a for ask me clarifying questions. I love to append that to most of the prompts that I use. So, and here's a prompt that I want you to try this and you'll see like all the context you're missing. So just start it off with I want to achieve this goal and you can
6:10 put any goal. So open chat GPT open cloud right now but the next part is what do you need from me to give me the best answer and so that's why this is a fun exercise like give it your goal at a high level and then ask what do you need from me to give you the best possible answer. Um, so you do want to make sure you're passing in context that is kind of relevant to the task at hand. So that's number three. So skill number four is all about augmenting your team and yourself, especially for business owners or anyone who's trying to make money right now in AI. There's a lot of rhetoric that's like AI just uh replaced this entire function. Just keep in mind
6:55 those are hooks for social media to get you to stop scrolling or they're highly highly exaggerated. And so really the mental model that um is most useful here is thinking about it in terms of uh educating yourself and your team so that you can have more leverage. The way to think about this model is you go to the expert and then the expert answers your like super super basic questions. Now with AI, go to AI first. AI answers your basic basic questions so that when you go to your expert, you can talk about highlevel strategy. Think about it. Instead of having to pay domain experts hundreds of dollars per hour every time you want to like know certain things, you can just use AI to get really
7:43 educated about these topics, then sit down with the domain expert and talk about highle strategy and execution. So number five um related to number four, think about AI in terms of augmenting yourself and augmenting your team. When you think of AI as an extension of your team, think of it as a new hire. So one of the biggest mistakes business owners make, they literally expect AI to know 100% of everything about them, of everything they want, of everything they're supposed to do. But you would never treat a new hire like that, right? Right? So, let's say day one of your new hire, day 30, and then day 90. When you treat AI like a new hire, day one, like it really doesn't know that much. Yes, you're going to throw a bunch of context
8:30 at it like we we discussed on the previous step, but it's still not going to be perfect. So, what would you do in the real world? You would literally give this new hire feedback. You actually are training this person over a period of months until it's able to basically do what you need mostly hands off, but you're continuously giving feedback to this person to improve it. In most companies, you don't consider a person fully rant until at least 90 days. I'm not saying it's going to take 90 days to train AI, but it's certainly going to take more than one. So again, a lot of people I see just like use an AI tool once and they're like, "Well, that didn't work for me." Um, but if you
9:15 actually gave it feedback every single day, it would work much better. So, as an example, uh, let's talk about marketing and content creation, right? If you give Claude all of your context, your brand voice, everything about your business, that's great for day one. It's still going to get it wrong, though. Okay? So every time you make content with Claude, you then want to say, "Hey, reflect on the conversation we just had and ma update your memory, update your skills." That's a claude specific term. But you basically want AI to reflect on the feedback you've given it and continue improving. And it's going to keep getting better and better over time, just like a person would if you give continuous feedback. actual reality
10:00 is like maintaining an AI system in production that's actually working every single day takes effort like continuous effort. Don't expect 100% accuracy from AI on day one. Treat it like a new hire where you're continuously giving feedback, continuously improving the system, setting aside dedicated time and effort to actually improve the AI system just like you would set aside time for one-on-one coaching for each of your employees. And number six, basically continuously improve with feedback loops. I will say though, this is a very helpful model. Um, and it's something that separates like honestly the people who are most productive with AI. It's like the general construct of feedback
10:45 loops. Like one year ago, Claude could barely see the browser. Okay. So, if you're like vibe coding an app, you'd still largely have to like go to the browser, click around this button, make sure like the things are supposed to do the things that they're supposed to do. But now with tools like anti-gravity or you can hook claude up to its Chrome extension or uh other tools like Playrights. Now Claude and AI tools have a feedback loop like they can visually go to the website click the button fill out the form and check that it works. So we have a feedback loop where AI is coding and then here it's actually testing whether everything works as expected. Um the more you can think
11:30 about feedback loops in general the better your outputs will be. So in a marketing context for example um let's say we have uh AI writing a post we have another AI grading the verality of this post and then we have another AI let's just say it's our quality check let's say QA. Um, so this is a feedback loop and you can actually tell Claude, don't stop writing my content for the week until your grade passes, like greater than 90%. And don't stop until all quality checks pass. Write a post about this topic and don't stop until you pass your own grading rubric above 90%. And if you try this, Claude will actually
12:17 like go through multiple iterations. Like it's going to apply the greater and be like, "Huh, the hook is kind of weak or the whole thing is structurally weak. It's only scoring at 60%. I'm going to go back and rewrite it until it scores higher." Once it's done at this step, then it's going to go to the QA and be like, "Okay, did the quality checks pass?" If it didn't, has to go back and rewrite those portions. So feedback loop is not uh it's not just a technical term. It's like a way of thinking about are you giving AI the ability to improve its own output without your intervention. Right? So in this loop I actually don't look at the output at the post until it's done going through this
13:04 loop several times. Think about working with AI and feedback loops because AI can do more without you if you give it like the tools to grade its own work. Skill number seven, um, this is really interesting. So, writing documentation. Now, when I say the word documentation, you might think of it as playbooks, SOPs, rules, guidelines, that type of thing. Just think about it in terms of like written text that like you distribute to people in your team so they can follow the same similar process. So the reason why documentation is so important, you write the text. So let's say this is a really large Google doc and then AI reads it as context. Remember that skill? This is the context
13:51 AI is reading and then it provides an answer based on everything that it's read. So what I recommend people do is literally to audit. Find a process that you repeat more than three times per week. So this could be for example in a sales context preparing for a sales call by looking up everything about the person you're about to meet. That is something AI can help you with. It can help you research kind of their online presence. Research if there's recent company news from their company that could be relevant to your sales conversation. Find something you do three times per week and write down every step of it. Like break it down. Like sales is not a step. Like going on LinkedIn to check your prospect's profile is a step. Uh reading
14:38 researching the company's news to see if there's anything relevant you could mention. Like that is a step. Preparing a PowerPoint or deck for your meeting. That is a step. Or sending up a prep email. Okay. Okay, brainstorming qualifying questions that you want really want to discuss. Maybe customizing the demo so that it really fits their particular use case. Sending up your follow-up meeting notes, okay? Like list out all of the steps in the thing that you're repeating multiple times per week. And then literally go ask AI, like how can I use AI to help me automate or streamline parts of this process? So, this is what I encourage people to do at least once a week. If you just went and did this right now, you would get more value than listening to me. Okay? So, pick one thing that you do three times per week manually. Write
15:24 down the steps. Go ask AI, "What are the things that I can automate here or streamline? Walk me through it." Exactly. Okay. So, skill number eight is understanding AI agents. Now, this term is like really confusing and people are like, "Oh, well, AI agents don't work and blah blah blah." Well, they can work but it does take time to first of all like understand what are they, how do you use them and then how do you be productive with them. Why I talk about all this other stuff first is because it all of it helps you to be productive with AI agents and honestly people are I think the term is very intimidating the easiest way to get started with it and what to understand. Let's just talk about before and after. So before in the old way of doing things one year ago, um
16:11 you would just yap with chat GPT all day long, but ChatGpt didn't really do much. Like it could give you a draft of a social media post, right? Here's your draft for LinkedIn, but it's not going to go create an infographic for you, create a carousel for you, and then go post it. Like you still had to do all the work. And that's what I mean by yap. like it we were largely just like talking to chat. It told us what to do and then we'd have a 100 bullet point list of all the things we have to do after with aentic AI. Okay, so I just want you to think about AI hooked up to tools. This is really the unlock. So if you're technical, you will probably dispute that technically an AI agent does not need access to tools to qualify as an agent. All it needs is feedback.
16:58 The biggest unlock for everybody watching this is to hook up AI to the tools you actually use. So if you are a Claude user right now, I want you to open Claude right now. It doesn't matter which Claude. Okay? So go to claude.ai. On the left sidebar, click customize. Should be there like towards the middle. Okay? Click customize. You're going to see two options, skills and connectors. Click connectors. And connectors are basically tools. Uh, it allows AI to use the apps that you use every day. So, for example, it can read your email. It can write draft emails. It can summarize stuff in your Air Table. It can change data in your Air Table. It can go scrape
17:43 stuff online and then add it to your Air Table. It can use Canva to create uh branded carousels and visuals. It can then use my app to post your Canva carousels to social media all within Claude. So go to connectors and then if you've never done this before, just connect Gmail, then go back to Claude, start a new chat and be like, summarize my most urgent three emails or something. Now let's connect all the tools that you actually use. So, I want you to go to AI again and be like, "What are the five tools that I use most commonly and how do I connect them to Claude or Chatubt?" Just go and ask AI that building an AI business. I'm actually going to say stop trying to build an AI business. I think because
18:30 people just keep getting overwhelmed with the idea of an AI business, like you have to learn everything about AI first before you can start an AI business. When I think of AI business or startup, a lot of people think of like kind of like the rocket ship bigname brand companies that raised a lot of funding and have a lot of engineers. Um whereas most normal people who have no background in tech and are not doing a venture-backed startup trying to raise millions and millions of dollars, uh what you can do is just take your existing business or an existing business model like a proven business that works and apply AI in it. So instead of like trying to build an AI business from scratch, while that is achievable, it's like a totally
19:15 different ballgame. And uh to be honest, it's incredibly hard. You could just make money now doing this one over here. So what this one is is like take an existing business model, like something that's tried and proven, or your own existing business today, whatever that may be, and do the step that I talked about before, like audit the things that are actually manual today. audit each of the steps involved in that process and figure out how to apply AI to help automate or partially automate like streamline steps of that process. Um, just think about your existing business or an existing business model that is proven and how AI could be used to make it smoother or have more leverage or be
20:01 able to accomplish more without hiring a big team or spending a lot of money. So, I'll give an example. Being a content creator was a thing before AI, right? Like this is a tried andrue proven thing. You make content and then there are ways to monetize the content, right? Like so like this is a triedand-true business model. Like it was there before AI. Millions of people do this before AI, but you can use AI to help you succeed as a content creator. So, for example, Solo grew from zero to I don't know what I'm at now, 2.3 million followers across social media. Um, except for my long- form YouTube videos. There's about five a week. Um, I distribute around 250 pieces of content
20:48 per week. My point here is like I'm able to do this solo, whereas like this typically required a big team and a big budget before the age of AI. And AI can help with very specific tasks. So if you break down what a content creator typically does, phase one is like coming up with ideas. So you can use AI to help you. You can hook up AI to Instagram and Tik Tok to alert you when there's viral stuff. It can help you write hooks, which I actually usually have it brainstorm 30 different hooks. It can help you write scripts if you're using a lot of scripting in your content. It can help you generate images, video clips, b-roll carousels etc. Um, it can help analyze your data. So like and even from within cloud, you can post directly to social media and manage
21:36 your entire content calendar. That's what that's what my app does in case you're wondering. Um, but yeah, this is a real example where I use AI to help me in uh almost every step involved in the traditional content creation process. But the business model is actually not new. Um, in fact, it's been around for over a decade, right? The business model is being a contents creator and uh but I've achieved results and scaled myself largely thanks to AI. Um so yeah, that's it. Um, if you enjoyed this, hit like, hit subscribe, hit the notification bell so you don't miss my next training.
