13 Easiest Ways to Make Money With AI (AI Income Tutorial)

AI Master· 24 min· 4,716 words· 21 min read· English ·Watch on YouTube

This is the full transcript of 13 Easiest Ways to Make Money With AI (AI Income Tutorial), published on YouTube by AI Master. Every paragraph carries the moment it was spoken, so you can click any line to jump straight to that point in the video, search the whole thing for a word, or copy it out.

0:00Most videos about making money with AI keep repeating the same ideas from copywriting to thumbnail design. I'm skipping all of that and showing you 13 practical ways to make money with AI today. By the end of this video, you'll know which one fits you best and where to start. A digital product is something you make once and can sell again and again. That could be a worksheet, a

0:20checklist, or a short practical guide. Skip the broad productivity ebook and pick one specific problem for one type of buyer. A wedding budget planner for couples is a good example. Before you build it, open Etsy and search that category. Look at the list things that already have reviews because those show people are buying. Then, read the reviews to see what buyers liked and what was missing. Maybe the existing planners feel cluttered or skip payment deadlines. That gap is where your

0:47version fits without copying anyone. Now, open a chat model and describe the buyer and their problem. Include the gap you found, too. Ask it to research the topic and suggest a structure. That might mean sections for the venue and the vendors. Then, have a draft each section with tables a couple would actually fill in. With the text ready,

1:05open Gamma and paste in the content. Pick a visual style that fits the buyer and Gamma lays it out as a finished document. Fix any page that looks off, then export the whole thing as a PDF. Gamma is just one example and Canva can handle the same step. Write the list in around the problem it solves so a couple looking for budget help recognizes it right away. Then, upload the PDF to Etsy or Gumroad. Any marketplace where that buyer already shops works, too. AI can help you create a product, make an ad,

1:34and even launch a business from scratch. But, there's one thing you still need to get right. It's the address people actually type in to find you. This part is sponsored by .online and that address is exactly what they sell. Most people check .com first and the clean name is already gone. So, they settle for something like get my brand app 2026.com and nobody can repeat that back to you over the phone. Dot online is a domain extension, which just means the part after the dot. For a business that lives on the internet, your brand.online is the stronger name. Short and honest about where you operate. Millions of

2:11businesses already run on it. The word online shows up in over 500 million searches a month, which helps a site carrying it get found. You can register one at GoDaddy, Namecheap, Squarespace, or Lovable. The link on screen gets you the first year for 99 cents. Now, let's move on to the next idea. Brands constantly need fresh short product videos for TikTok, Instagram, and Facebook. The traditional way means finding creators and shipping them the product. Then someone still has to organize the shoot. AI gives you another way to offer that same service, starting

2:44from nothing more than product photos. Say a brand sells sneakers and sends you a few clean photos of one pair. For this example, I'm using Higgsfield to build the product video. First, I upload the sneaker photos to give the model a clear visual reference for the product. Next, I create an AI presenter who looks like a regular customer filming on their phone. Then, I put the presenter and the sneakers in the same scene. The product photos act as the visual reference, helping the generated shots stay close to the real pair. The presenter holds them up to the camera and points out the details. In another shot, they can put

3:18the sneakers on and take a few steps. After that, I add a short script and a voiceover. The shots come together as one vertical ad, about 15 seconds long. Here's the finished ad. Before anything goes to a client, check that the sneakers look exactly like the real pair. If a detail drifts, regenerate that shot instead of sending it out. People are already selling this exact kind of work. Search Fiverr or Upwork for AI UGC ads, and you'll find sellers offering product videos made with AI presenters. Their listings show what's in each package and what they charge for it. Take one product and make several ad variations, maybe with different

3:55presenters or different openings. Then sell those videos to the brand [music] as one package. Brands that run ads all the time keep needing new videos, so the same client can order another batch later. Faceless YouTube might sound like an obvious one by now, but I still think people underestimate it. You can start pretty lean and you don't need to be on camera. Unlike most freelance work, you're building something you actually own. And once your channel is monetized, your videos can keep generating views and revenue for years after you publish them. With AI helping with research, scripts, visuals, and production, it's much easier for one person to run the

4:31whole thing. Take a history documentary channel as the example. Search YouTube for videos like the ones you'd make and look for those that did far better than the rest of their channel. Say videos about everyday life in a specific era keep doing well. That's narrower than history in general, so you pick one first topic there, like what ordinary people in ancient Rome actually ate. Now that video needs research, a script, visuals, a voice, and a thumbnail, and

4:55AI can help with each of those pieces. The hard part here, or anywhere you make money with AI, is knowing what to learn first and how to connect it all into a repeatable workflow. That's the gap AI Master is built for, and above all, it's a place to learn. You can go deeper into what this video covers, from the foundations of making money with AI to connecting the pieces into a channel like this one. Many of the courses there aren't on this YouTube channel, and they won't be published here later. The learning is personalized with AI, so it's shaped around what you're actually building, which here is the history

5:27channel. There are over 200 lessons and more than 30 hours of practical training. Right after a lesson, you can work through it in the AI chat. The studio has the latest text, image, and video models kept up to date, so you're not juggling separate subscriptions. Then, the same history channel moves into content engine. The agents research the niche and suggest ideas, and the Roman food video becomes a narration script. You check names and dates against reliable sources, then generate the visuals, video shots, AI voice, and thumbnail. If you want to keep learning and practicing like this, the annual plan is the main option. It's better value than paying monthly, and you get a

6:05full year of tokens for practice. There's also a 7-day money-back guarantee. Open the page from the link below, pick the annual plan, and start learning right after checkout. More than 15,000 students are already learning with AI Master. Whatever tools you use, the goal is a production process you can repeat for every your upload. As the channel grows, ad revenue can become the first layer of income. Affiliate links can earn alongside it, and a bigger audience can eventually bring some sponsorships or sales of your own products. However, it usually takes several months of consistent uploads to reach that point. Plenty of small businesses still run on a website nobody

6:43has touched in years. On a phone, the text is tiny, [music] and the menu barely works. Some have a landing page so confusing that visitors leave before they find the phone number. Others don't have a proper site at all. Every one of those businesses is a potential client for a modern website or redesign. Building that site used to mean hiring someone who could code. Vibe coding has lowered that barrier a lot. You describe the site in plain language, and an AI coding tool writes the code. You don't need years of programming experience to

7:14get a clean, modern landing page. Knowing the basics still helps, especially when something breaks or the site goes live. Take a family bakery whose current site is one blurry photo and a phone number. I start in Claude design and describe the business in a couple of sentences. I tell it what the bakery sells and who usually buys from it. The page has one job, which is getting people to order cakes for pickup. Claude design gives me a first visual direction for the page. If the look feels off, I ask for something warmer or simpler. Once the direction feels right, I use it as the reference for Claude Code to build the actual

7:47page. Claude Code turns it into a working page. I can open and click through. Then the rest happens through chat. I ask it to move the order button higher and fix how the menu looks on a phone. I might add a section for wedding cakes or swap the header photo. Each request is one sentence and Claude Code edits the page to match. Here's the finished landing page. If you want the full step-by-step workflow, we also have separate guides on Claude Design and Claude Code. There's already a market for this. On Fiverr, sellers offer landing pages for small businesses and on Upwork, business owners post jobs asking someone to rebuild their old

8:23site. Those listings and job posts show what this service sells for and what clients expect. To find clients, start with local businesses whose websites clearly need help. Pick one and build a quick concept of their new homepage. Then send it over with a short note on what you'd improve. A preview of their own site gets far more attention than a generic pitch. You charge a project fee for the finished site. Many owners will also pay a small monthly fee to keep it updated. That monthly piece is what

8:51turns one project into steady work. Later on, I'll show how we use this same vibe code and approach to start building our own platform. A virtual character can become a media brand of its own. It needs a clear concept and a look people recognize. Then you build short-form content around it on TikTok, Instagram Reels, and YouTube Shorts. The goal is to build an audience that keeps coming back to that character. Keeping a character consistent used to be the hard part. Start by locking in the character's look and giving it its own generated voice. That way, every new image and video scene keeps the same identity. The chat models help you plan

9:27recurring formats and write each episode. Now you've got a repeatable way to produce a show around one character. There are already virtual creators building real audiences across Instagram, TikTok, and other platforms. So, the format is well-established. Imma is one of the best-known ones. She started out as a CGI virtual character and has gone on to do real brand collaborations. Miazulu represents a newer generation of AI characters. She's built a broader creator identity, which

9:54includes released music and music films. The look alone won't carry it, though. The internet is already full of AI faces with nothing to say. A character worth following has a personality you recognize within a couple of seconds. It also needs a regular format that gives people a reason to keep watching. Think of a grumpy retired chef who reviews one viral recipe a day. Be transparent that the character is virtual. If the content looks realistic, some platforms require you to use their AI content disclosure tools. If the character starts building an audience, that attention can turn

10:25into affiliate sales or sponsorships. You can also sell products built around the character itself or use it to send followers to your own shop or app. A lot of creators and companies already have a good video in one language. Localization means helping them publish that same video for viewers who speak another language. They've already done the hard part, which is making something people want to watch. One simple way to do this is with a video localization tool such as HeyGen. Here's one of my original

10:51videos filmed on camera like any other. Hi, I'm Arthur, and today I want to share a quick update. We finished the first part of our work, and the next version will be ready next Friday at 3:00 in the afternoon. I upload it, choose the language I want, and the tool translates what I'm saying, generates new speech in a voice that sounds like mine, and adjust my lip movements so they match the new language. Nobody has to rebuild the video or record a single new line. The first automatic translation doesn't have to be the final one. Many localization tools let you review and edit the translated script

11:26before generating the final version. There you can fix anything that came out wrong. Maybe a phrase came out too literal, or a name got translated when it shouldn't have. Now, put the two side by side. On the left is the original, and on the right is the same video in a new language. Some videos need a bit more than translated speech. On screen text, titles, and graphics will still be in the original language. For those, open the result in CapCut and replace them. You can also adapt individual scenes that need it. YouTube creators are the obvious buyers, and course creators can offer the same course to

12:00students in another language. Companies expanding into new language markets need their videos in those languages, too. You can start by selling one localized video, then offer a batch once the client sees the result. A micro SaaS is a small piece of software that solves one narrow problem for one specific type of user. You're not trying to build the next huge startup. A small, focused product can be enough if it handles one useful job well. Vibe coding has also made the first version much easier to build. Take an AI career coach as an example. It's only a concept here, not a launched product. The problem it solves

12:34is that job seekers often have their resume, career documents, and interview preparation spread across different places. In this tool, the user uploads their diplomas and certificates. They describe their work experience, too, even by voice, if that's easier. Then they add the role or company they're aiming for. The AI builds a resume tailored to that job and suggests what to improve. It can also run practice interviews with the questions they're most likely to face. So, it works like a personal career consultant inside one small app. To build the first version, you could open Lovable and describe who the product is for. Then explain what the user uploads and what they should

13:11get back. Lovable generates a working first draft of the app that you can click through. After that, you shape it with prompts. You might ask for a simpler upload screen or a different setup for the interview practice. Once the core flow works, add accounts and payments, then hand it to a few job seekers to test. Claude Code and Codex can handle this same kind of build. If you want to see the full build process, we already have separate step-by-step guides on Lovable, Claude Code, and Codex on this channel. Small products built this way can turn into real businesses. Quick Tables is a platform for restaurants, and it was built with

13:44Lovable. The founders launched it fast, and it grew into a paid SaaS business. Roughly 10 months after launch, a Dutch asset manager acquired it. People pay for the software every month, so subscriptions can turn into recurring revenue. You can keep running the product as a small business, or keep growing it. In some successful cases,

14:03another company or an investor buys it. That's a possible upside, not the usual outcome. The product has to be worth running on its own first. AI Master itself followed a similar path. The earliest versions were built much more manually, and you can see some of those early versions here. As tools like Lovable, Claude Code, and Codex became more capable, we started using them

14:22alongside traditional development. Today, AI plays a much bigger role in how we build and iterate. But if you're starting your own product, you don't need anything close to that scale. A small working version is enough to test the idea quickly, learn what users actually need, and expand from there. Local businesses miss calls all the time, because the people who'd answer are busy or out on jobs. When someone with a broken AC reaches voicemail, they'll often just call the next company on the list. An AI phone agent can answer those calls when nobody on the team can. You can build one in 11 Labs agents. I create a new voice agent and

14:58give it the basic information about the business. Then I connect it to a phone number so it can take real calls. When someone calls, the agent can answer common questions, collect their contact details, and understand what they need. From there, it can move the conversation toward a booking, or hand the caller off to a real person when necessary. Most of the real work is setting the agent up for one specific business. You give it the services, open and hours, useful customer information, and the questions people ask most often. Then you decide how booking should work, what information the agent needs to collect,

15:31and when a call should go to a human. The owner can also get a short summary after each call. If you want to build one step-by-step, we've got full voice agent guides on this channel. What you sell is the finished system. That means the agent with its answers and hand-off rules all set up and ready to go. You charge a setup fee, then a monthly fee

15:50for reviewing calls and fixing answers. The fee also covers updating it when prices or services change. Test it hard on the awkward calls before it goes live. And make sure callers can always reach a human. TikTok Shop Affiliate lets you promote products that other sellers list on TikTok Shop. When a viewer buys through your video, you earn a commission on that sale. Everything

16:11starts in the affiliate product catalog. You scroll through products from different categories, and you can see the commission rate the seller is offering for each product. For this example, I'm using a simple product with clear photos and an obvious use case. Next, I grab the product images from the listing and bring them into an AI video tool. That could be AI Master or any other video generator you already use. I write one simple hook around the problem this product solves. Then I generate a few short shots that show the product clearly. They come together as one vertical clip made for TikTok. Here's the finished video. Before posting,

16:45check that the product on screen matches what buyers will actually get. When you publish video on TikTok, you attach that same product to the post. [music] Viewers can then tap the product straight from the video and buy it. If someone makes an eligible purchase that way, you get the commission. Plenty of creators already post short product videos like this. The product gets attached during publishing right before the video goes live. You don't hold any stock or ship anything. The same model works outside TikTok Shop, too. Amazon Associates pays commissions on products you link to, and many individual Shopify

17:18stores run their own affiliate programs. Picture a SaaS founder who spent years building a product and talking to customers. They have real stories and strong opinions that would do well on LinkedIn. They know they should be posting, but writing every week never makes it onto their calendar. So, you offer to take over their LinkedIn content and run it for them month after month. The founder doesn't have to sit down and write a single post. Instead, they send you raw material from things they're already saying and doing. That might be a few voice notes after a busy week or the recording of a work call. A podcast appearance works, too, and so do

17:53short answers to questions you send them. Say they send a 20-minute voice note about the mistakes they made hiring their first team. You paste the transcript into a chat model and ask it to pull out the strongest ideas. It might find a story about one bad hire and a clear opinion on remote work. Then, you ask it for a few post angles on each idea. From there, it helps you turn those angles into a content plan for the month. Next, the model drafts several LinkedIn posts from that same recording. You edit each draft until it sounds like the founder talking, not like a chatbot. Generic lines come out

18:25and the phrases they actually use stay in. Then, the founder approves the batch and you schedule the posts to go out across the month. Here's one founder recorded next to the posts and the plan that came out of it. Companies are already hiring for this. Search Fiverr for LinkedIn ghostwriting or founder content and you'll find real job posts. One post might want a ghostwriter for a founder's posts. Another wants someone

18:47to manage the whole LinkedIn presence. Some of those jobs are hourly, while others are looking for ongoing support rather than a one-off project. That's why this fits a monthly service. What they're paying for is not having to figure out what to write every week. Every week, a Shopify store owner wants to know how sales went and which products are moving. They also need to

19:06see what's about to run out of stock. Right now, someone opens Shopify and copies the numbers into a spreadsheet. Then, they try to work out what changed since last week. That's the job you can automate easily. I built this in N8N. The workflow runs on a schedule, say every Monday morning. First, it pulls the stores recent orders and current inventory from Shopify. Then, an AI step looks at which products sold well and which one slowed down. It also flags anything running low and what changed since the previous week. From there, the workflow writes a short report in plain language. You don't always have to build this from zero, either. N8N also has a

19:44template library, so you can check whether there's already a workflow close to what you need. Here's the finished report arriving in Slack or Telegram, if that's what the owner uses. It shows recent sales and the products that need restocking soon. Below that, the AI adds an observation or two worth acting on this week. The client is paying for a report that shows up on its own every week. You charge a setup fee for

20:05building and configuring the workflow. Later, they might want a new metric or a second store added. That's where an optional monthly fee for support and updates comes in. Picture a startup founder getting ready to raise money. They need an investor pitch deck, and right now all they have is a pile of material. There are notes from customer calls, a product document, and a spreadsheet with their numbers, plus a few rough ideas about the market. None of it is ready to show an investor. So, they hire someone to turn all of that into a polished deck, and that's the service you sell. This is something founders already hire people for. Upwork

20:39has startup job posts for pitch deck design and investor presentations. On Fiverr, sellers offer pitch decks and sales decks as fixed packages. Here's one real job post for a startup presentation, along with the budget the client set for it. For the work itself, I use Gamma. I paste in the founder's notes and numbers, or import the documents they sent. Then, I pick a

20:58visual direction that suits the startup. Gamma turns that raw material into a structured presentation with the layout and visuals already in place. I go through the deck and fix anything that reads wrong. I also check that every number matches what the founder gave me because investors will ask about it. Now, look at the before and after. On the left is what the founder sent, scattered notes and a spreadsheet. On the right is a clean pitch deck they can actually walk an investor through. That

21:24change is what they're paying you for. Beyond those job boards, you can reach out to early-stage startups directly. Charge per project with a fixed fee for the finished deck. Revisions can be included in the package or you can charge for extra rounds separately. Lots of creators, podcasters, and companies already publish long videos on a regular schedule. Most of them aren't getting nearly enough short-form content out of those recordings. That gap is the service you sell. You take one long video and turn it into a batch of shorts, reels, and TikToks. Everything comes from a recording they already made. The first pass happens in a tool built for exactly this job, like Opus

22:00Clip or Riverside Magic Clips. You upload the full recording and the AI scans it for moments that work on their own. Then it cuts those moments into vertical clips and adds captions automatically. Here's one long video going in and here are the clips that came out of it. So, instead of scrubbing through an hour of footage, you start with a set of first versions. Then you quickly review the results and check that the opening, captions, and framing work. After that, you make any small fixes you need and export the strongest clips. We already have separate step-by-step guides on this channel for

22:33turning long videos into shorts with AI. A batch is eight to 10 finished clips. Each one is captioned and ready to post. You can price it per recording with one batch for each long video. And because these clients publish on a schedule, every new episode turns into another batch of clips for you. If your priority is making the first money as quickly as possible, client services are usually the strongest place to start. You already know who the customer is and what you're delivering. You also know why they would pay for it. That means you can test the idea almost immediately. The trade-off is that the income is still tied pretty closely to

23:08how many clients and projects you can handle. If you're willing to wait longer, you can use the same skills to build something you own instead. A channel where virtual creator takes time before the audience becomes valuable, but every piece of content you publish keeps adding to it. A product like a micro SaaS pushes that idea further. It is harder to get working and harder to sell it first. But once people are paying for the product, revenue is no longer tied to delivering a new project for every customer. So, pick the model you'd actually want to run day-to-day, not the one with the flashiest tool. And whichever you choose, AI isn't the

23:43business model. What matters is having something useful to sell and a real buyer or audience with a clear reason to pay. AI is the leverage that lets one person deliver it. Now, the only thing left is to start. If you want to try AI master for the workflows we used in this video, the link is in the description. Like and subscribe, and I'll see you in

24:02the next one.

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