9 AI Skills That Will Make You Rich in 2026

In the next 12 months, the biggest paychecks won't go to people with fancy degrees or fancy titles. They'll go to the ones who master AI skills that matter. They'll go to solarpreneurs who

matter. They'll go to solarpreneurs who single-handedly solve problems with AI.

What we're seeing right now is that entry-level jobs are being disrupted.

Software is becoming a commodity. I

recently interviewed the founder of Replet and he told me about people who just vibe coded companies that are making millions and basically what they're doing they're building on top of

Chad GBT. Yes, they're wrapping it

Chad GBT. Yes, they're wrapping it beautifully but a lot of AI companies that we see these days are basically a set of prompts for Chad GBT and they're making hundreds of thousands of dollars.

I personally know some of those people.

So what makes these people different?

Number one, deep understanding of their target market and customers. They are

solving problems for a very particular group of people. A lot of those people are solving problems they once experienced. Number two,

experienced. Number two, AI skills. They know exactly what tool

AI skills. They know exactly what tool to use, how to use that tool to quickly build a product of their dreams or automate a function at a top level. And

in this video, I'll break down nine AI skills anyone can start from zero.

They'll help you work faster, earn more, and maybe even build the next billion dollar company. And trust me, the last

dollar company. And trust me, the last one is a total game changer. So, let's

dive in. So, skill number one is no code AI app development. Something that I've mentioned already in this video. It's

just fascinating how today you don't need to be a programmer to launch your own AI powered product. And uh while I was talking to Jud replet is one of the products that you can use. I was

actually vibe coding something and he was like your prompts are not good enough. Uh and there was some bugs. But

enough. Uh and there was some bugs. But

he told me it's going to take me 2 days to build a fully working AI app. That

means I can start testing things within a week. A simple example would be

a week. A simple example would be building a service that automatically writes blog posts based on YouTube videos. You choose a video that went

videos. You choose a video that went viral that got millions of views. The

app extracts the transcript. It

generates an article and it publishes it on your site. Of course, you have to say like this is what I learned from this video. Refer to the author. But content

video. Refer to the author. But content

creation is getting really commoditized.

And you can build this app for yourself and you can also let others use it. And

there is no code involved in this. The

tools you can use replet I already mentioned it. It includes templates and

mentioned it. It includes templates and bots. There is another platform called

bots. There is another platform called agent. You can use it to build AI apps

agent. You can use it to build AI apps like stacking blocks. There is a company called Bolt. It's a visual builder where

called Bolt. It's a visual builder where you can connect models and interface in a few clicks. After you watch this video, spend at least 10 minutes VIP coding. This skill opens the door to

coding. This skill opens the door to launching your own products. You're not

just using AI, you're actually creating solutions that could become real businesses. Skill number two, building

businesses. Skill number two, building no code AI agents. something that we've been playing with a lot recently. In the

past few weeks, we built a couple of AI agents and they're working and they're doing things. So, basically what happens

doing things. So, basically what happens with chat GBT, it just gives you answer.

But an AI agent actually completes tasks for you. They can send emails, fetch

for you. They can send emails, fetch data, publish posts, remind you of deadlines all in the background without you lifting a finger. For example, if you have an inbox where customers reach out to you, you can build an agent that

receives an incoming email from a client, checks your internal database if the client exists, composes a reply, and sends it automatically with zero input from you. Having an AI agent is like

from you. Having an AI agent is like having a 24/7 employee. So, for example, last week one of our videos was not performing. And the thing that's really

performing. And the thing that's really working right now for a lot of people is that they post a lot of shorts that were made from that video. But for us to post 15 shorts, we will need at least two people. One person will be working with

people. One person will be working with Opus clip and making sure the clips are good. Another person will be posting. So

good. Another person will be posting. So

instead of doing that, we just built an AI agent and my producer can basically click a button. It takes a video and it creates multiple shorts, not just using Opus clips algorithm, but also using

chat GBT to check whether the titles are good enough. It really speeds things up.

good enough. It really speeds things up.

So think about a process that's very repeatable, really manual. There are

processes in our company where we just delegate them to my assistant. Sometimes

she answers it, she's not happy about it because she has other things to do. Now,

before actually delegating to her, we would try and build an AI agent to save her time for more important tasks and to automate this process that's really manual and doesn't require any creativity. Skill number three, workflow

creativity. Skill number three, workflow automation. So the tools that we use to

automation. So the tools that we use to build our agents, we use Nathan which is a very intuitive visual tool where you connect blocks and uh create an agent by

doing that. There are GPTs by OpenAI.

doing that. There are GPTs by OpenAI.

You can build your own assistant inside chat GPT by configuring instructions, functions and even actions through plugins. So AI agent actually learns

plugins. So AI agent actually learns during the process and it can change things in a workflow. If that sounds too complicated, you can just build a workflow that doesn't think uh it just

follows the steps that you've created.

If X happens, then do Y, then Z. And

this becomes a workflow that runs without your involvement. A good example is cutting shorts from a video that already exists on YouTube. And the way this automation works is that we have Google Sheets where we store links to

all of our new videos. Then we have Nathan that actually runs the automation. It grabs the latest video

automation. It grabs the latest video link. Then clap AI automatically cuts

link. Then clap AI automatically cuts vertical clips based on emotional peaks.

Then GPT writes clickworthy titles and descriptions for each clip. And then we use YouTube API to upload up to 10 shorts per day with ready to go captions. No editor, no manager, just

captions. No editor, no manager, just automated pipeline. And as a result, we

automated pipeline. And as a result, we have new videos that go live daily, creating stable traffic flow without human involvement. These are basically

human involvement. These are basically free ads for a podcast. Uh zero editing costs. So it's basically free traffic

costs. So it's basically free traffic from the algorithm. I mentioned Nathan that you can use for this but there are also other tools. There's make.com or zapier. These are visual platforms to

zapier. These are visual platforms to build automations. We feel like nonen is

build automations. We feel like nonen is more flexible and logic based. If you

are in the production business you're making content. Clapai, opus and

making content. Clapai, opus and descript are the a powered video generation and editing tools. Of course

you use GBT plus API integrations to generate titles, descriptions and tags and of course to post on different platforms. Here's something I kept thinking about when starting a new project. You can automate workflows,

project. You can automate workflows, delegate tasks, even use AI agents to save time. But the moment you want to

save time. But the moment you want to sell a physical product, the big question becomes, where do you find it?

Cuz it can be AI generated. And if

you've ever dreamed of launching your own store, clothing, stationary, homegoods, or gifts, Super Delivery is a great place to start. It's a Japanese B2B wholesale platform where you can order high-quality products in small

batches with worldwide shipping. And the

best part, if you're purchasing from outside Japan, you don't have to pay Japanese VAT. So, the prices are already

Japanese VAT. So, the prices are already small businessfriendly. Even if you just

small businessfriendly. Even if you just run a small Etsy or Shopify store or sell through Instagram shops or similar platforms, registration takes only a couple minutes and you can start right

away. I found so many unique items there

away. I found so many unique items there from minimalist kitchen wear to stylish accessories. I actually love everything

accessories. I actually love everything that's connected with Japan. So, if

you're also interested in Japanese trend, I recommend checking out their special made in Japan feature page. A

curated selection of goods made in Japan. note for their outstanding

Japan. note for their outstanding quality and attention to detail. And if

you're just getting started and want to test the platform with great deals, take a look at the first purchase discounts page. It's a collection of specially

page. It's a collection of specially priced items available exclusively to new buyers. You simply add items to your

new buyers. You simply add items to your cart and that's it. No supplier

negotiations, no minimum orders in the thousands. If you're exploring

thousands. If you're exploring e-commerce, launching a new product line, or just looking for your next big idea, I genuinely recommend checking out Super Delivery. This video is made in

Super Delivery. This video is made in collaboration with Super Delivery. Now,

let's move on to the next AI skill you absolutely need in 2025, and that's API integrations for AI workflows. Remember

how I mentioned that we use API integration to publish things on YouTube? So, basically, to make neural

YouTube? So, basically, to make neural networks truly efficient, you need to connect them to other tools like CRM, email, spreadsheets, cloud storage, YouTube, calendars. All of this becomes

YouTube, calendars. All of this becomes possible through APIs, which allows software tools to talk to each other. If

you know how to work with APIs, you can link dozens of AI tools, build custom solutions, and automate things that no one else can. So, here's our real case, how we connected AI to YouTube and other

tools via API. So, we used YouTube's official API and connected it to Nathan.

It's not a straightforward process, not just like you click one button and you're connected. Uh, there are actually

you're connected. Uh, there are actually a couple things we needed to sort out.

First, we had to set up authentication to zero to use YouTube API. That

required creating a project in Google Cloud Consoles, generating tokens, getting approved. It's not obvious for

getting approved. It's not obvious for beginners. We have someone on the team

beginners. We have someone on the team who helps us with that. And then there are also API quota limits. Google

restricts the number of API requests per day. When trying to upload more than 10

day. When trying to upload more than 10 videos a day, we ran into errors and had to optimize the flow. To send videos via API, we had to build precise JSON requests with all publishing parameters.

So, it's not really trivial. We still

had issues with some video formats. Some

tools incorrectly process long videos, returned errors, and we had to add format checks and fallback logic. Some

tools that helped us with that process, Postman is great for testing and debugging API requests before launching.

Again, Nathan to visually configure nodes for YouTube upload, Google authentication, file fetch, GPD4 documentation to generate and adjust JSON request templates for YouTube. Of

course, we used YouTube data API, the foundation for publishing and analytics.

But when you start working with APIs, you're no longer limited to pre-made templates. You decide what should

templates. You decide what should happen, when, and how, and you build systems that actually deliver what you want. So, if you're technical enough,

want. So, if you're technical enough, I'd recommend trying and automating a process of posting by yourself. If

you're not technical enough, then you know, hiring someone who is an AI intern or an AI person, AI contractor on your team, that's that's the actual new job now. Uh, and we have two people like

now. Uh, and we have two people like that on our team helping us automate things. Skill number five, AI powered

things. Skill number five, AI powered data analysis. We live in a world where

data analysis. We live in a world where everyone has access to data, but only those who act on data win. We try to quantify every process in our company.

And there are AI tools that allow you to go beyond just reading tables. They help

you identify patterns, extract insights, visualize, and even forecast outcomes faster and deeper than manual analysis.

So, for example, we have a spreadsheet with video views over the last three months. Instead of summarizing it

months. Instead of summarizing it manually, we feed it into an AI model and it identifies which days of the week get the most views. Suggests the best video length for our channel. Recommends

topic ideas likely to boost traffic.

Generates a dashboard with charts instantly. Tools that we use. Excel plus

instantly. Tools that we use. Excel plus

AI plugins. They can create charts and summaries from natural language prompts.

Chat GPT advanced data analysis. Upload

your SV or Excel file and the model cleans your data. Builds visualizations.

explains what it means, why, and how it impacts results. There's also Wolffrram

impacts results. There's also Wolffrram plus Chad JBT. It runs advanced calculations statistics and forecasting. It's really important to

forecasting. It's really important to start working with big data because this skill is basically your pocket AI analyst. I remember we actually had an

analyst. I remember we actually had an analyst on our team at Lingurip. Now, we

don't need a person like that. We just

need to know what questions to ask and the model gives us full picture in minutes. Skill number six, multimodel

minutes. Skill number six, multimodel prompt engineering. The world isn't just

prompt engineering. The world isn't just textbased. AI model today can understand

textbased. AI model today can understand and generate images, videos, audio, even 3D content. That means you can interact

3D content. That means you can interact with them using layered complex instructions. And that's what multimodel

instructions. And that's what multimodel prompting is all about. You don't just say make a thumbnail. You give a precise creative brief. Create a YouTube short

creative brief. Create a YouTube short style thumbnail for a video about AI.

Primary colors are black. In the center, let's put a large DPT logo. In the

background, let's put blurred robots.

the left side, AI versus human and glitch style, typography. So, GBT4 can work with text, images, and tables. It's

perfect for detailed visual prompts.

Then, you can use runway, pika, or sora to generate video scenes based on text.

And again, prompting is everything here.

A good prompt is like make a scene of a girl working through neon light in Bladeunner style. Midjourney or Dally to

Bladeunner style. Midjourney or Dally to generate high-quality images from text prompts. 11 Labs or Pseudo AI to

prompts. 11 Labs or Pseudo AI to generate and understand audio from voiceovers to music. So basically we see how prompting became the new interface language and the clearer and more precise your prompt is the better the

result. When Amja told me that my

result. When Amja told me that my prompting wasn't good enough I asked him how can I improve my prompting and he said of course by experimenting try at least five times to see different results. Also in my company we keep a

results. Also in my company we keep a prompt journal that we share with everyone with successful examples and their results. Skill number seven AI

their results. Skill number seven AI video editing and repurposing in 2025.

Success isn't just about creating content. It's about repackaging it fast

content. It's about repackaging it fast and at scale. One long video can turn into 10 short form clips optimized for shorts, reals, and Tik Tok. And

automating that is a whole new job that a lot of creators are trying to learn.

And a lot of creators are looking for solutions like that. And it's not just about identifying what's going to go viral. It's also about adding music,

viral. It's also about adding music, creating the right title, publishing it to the platform. The next skill is custom AI model training. General models

like GPT know a lot, but they don't know you. If you want an AI to write in your

you. If you want an AI to write in your tone, understand your niche, or generate content tailored to your brand, you need to train it on your own data. That's

what custom training is. Turning a

general purpose model into your own personal AI assistant and also making sure you can transfer prompts to your team so they can use your tone of voice.

We train a GPT model on our own database of scripts and video titles. And as a result, it can predict which content topics will perform well with our audience. So basically like created an

audience. So basically like created an AI version of you guys to hopefully help us test before we publish. RGBT writes

titles in our signature style. Adjust

text to fit both short and long form formats. Match the tone of our channels

formats. Match the tone of our channels and avoid cliches. There are a few tools that can help. Replicate to train and host custom models on your own databases. Pealabs or runway. They

databases. Pealabs or runway. They

create AI generated visuals that follow a consistent style. Open AI5 tuning of course train GBT models on your own text FAQs messages or content examples. You

can also create your own custom GPTs. Uh

you can trigger instructions, files, and behavior with no coding required. It's

basically creating your own AI clone. It

works in your niche. It understands your goals and writes like you but faster.

And it's tireless. And the last skill is AI app monetization strategy. Basically,

monetizing AI products. We talked a lot about building AI apps. And that's half of the job. The other half is packaging it, launching it, and trying to make it not only help for yourself, but also

help for a lot of other people. And uh

when we're building some tools for our company, we're always trying to test them on a smaller audience to see if someone would pay us to use this tool.

And so I feel like for everyone who's watching, a great way to start is to build something for yourself, see if you're actually using it, and then just talking to your friends about it like, "Hey, I built this. Look what it delivers. Would you pay for something

delivers. Would you pay for something like that?" Because if you use VIP

like that?" Because if you use VIP coding platform like Replet, you can connect Stripe and you can start collecting payments. For example, we

collecting payments. For example, we created a bot called Ghostriter on Telegram that is trained to write in a style that performs well on LinkedIn or X or uh email. You can basically choose

where you want to post. And this is something I built for myself because if I have an idea, I want it to be on every single platform. So, I just talk to this

single platform. So, I just talk to this bot and then I click LinkedIn or I click email and it generates text. And I can also do both languages because I'm present both in Russian and English. So

it's basically my copywriter and we decided to make it available to everyone as a Telegram bot. And we installed monetization inside Telegram. And voila,

we have a small but stable income stream. I think it's it's a pretty cool

stream. I think it's it's a pretty cool tool. I think it's pretty useful for all

tool. I think it's pretty useful for all of you guys who are building cool projects but never make money.

Monetization isn't about selling. It's

about delivering value in a way people will pay for. I hope this video inspired you to not only build something, but also think about ways you can turn what you've built in an into an actual business. Because, as you know, I love

business. Because, as you know, I love building multiple income streams and uh it gives me some kind of stability, but also gives my imagination a way to experiment with different ideas. Thank

you so much for watching this video.

Please don't forget to subscribe to this channel and I'm looking forward to seeing you in the next