--- title: 'Why 99% of AI Faceless Channels Won''t Reach Monetization (Check Your Channel)' source: 'https://youtube.com/watch?v=_bFI30ewizQ' video_id: '_bFI30ewizQ' date: 2026-08-18 duration_sec: 857 --- # Why 99% of AI Faceless Channels Won't Reach Monetization (Check Your Channel) > Source: [Why 99% of AI Faceless Channels Won't Reach Monetization (Check Your Channel)](https://youtube.com/watch?v=_bFI30ewizQ) ## Summary The video explains why 99% of AI-generated faceless YouTube channels fail to reach monetization, attributing the failure to four key mistakes: stupid copying, repeating scripts, not engaging with the audience, and using common AI content markers. The creator demonstrates how to mix niches using AI tools like Qwen Studio and provides a checklist for channel improvement. ### Key Points - **The Contrast Between Two Channels** [00:01] — Two people launch faceless AI channels on the same day; after a month, one has zero views, the other has significant income. The difference lies in four key principles. - **Mistake 1: Stupid Copying** [01:24] — Newbies copy a hype niche, paste it into a neural network, and ask for similar videos, resulting in no success. Smart copying involves mixing niches to create unique content. - **How to Mix Niches** [02:36] — Use Qwen Studio (free, with limits) to mix a trending niche with another, e.g., urban legends with a diary of a night archivist. Generate 20 topics and test them by creating a channel, warming it up, and posting a video to see if there are impressions. - **Mistake 2: Repeating Scripts** [07:21] — Using the same tools, pipelines, and prompts for every script leads to repetitive content that YouTube's algorithm detects, causing demonetization or reduced impressions. Change patterns and refine tools. - **Mistake 3: Not Working with the Audience** [09:18] — Engaging with the audience (responding to comments, community posts, calling people by name) builds a loyal following and reduces the risk of demonetization. Ignoring comments can lead to channel death. - **Mistake 4: Using Common AI Markers** [11:10] — Markers like yellow subtitles with mistakes and static images after an animated intro signal AI content, causing viewers to turn off. Remove these markers by not doing what everyone else does. ### Conclusion To succeed with AI faceless channels, avoid the four common mistakes: smart copying (mix niches), vary scripts, engage with your audience, and eliminate AI markers. Use the provided checklist to audit your channel and improve your chances of monetization. ## Transcript picture. Two people at the same time, let's say on Monday, each launch their own channel without a face. And the channel is a channel made with the help of artificial intelligence. But after a month, one of them had a picture like this. As we can see, the picture here is very weak. There is zero here, yes, none. The second one, well, is something like this. Which one do you like better, this one or this one? It makes sense that you would like the one that has a specific result in the form of such an interesting sum. But what is the difference? It seems to be a channel, right? Why is this one like this and this one like that? In fact, everything here is as simple as possible. The difference between these everything here is as simple as possible. The difference between these channels lies in just four key principles. Let's talk about them. They are probably committed by 99% of those who work with channels. Even those who have been doing this for a long time and earn some money still don’t use these principles, make mistakes and, ah, cut their income. By the way, I made a simple checklist and cheat sheet for this lesson on my Telegram channel, which you can print out and always check in your channels. If your channels have two items from this checklist, you probably already have some kind of fix here Telegram channel, where you can download this checklist using the link. Well, let's begin. The first problem is stupid copying. [snorts] What does that mean? A newbie or not is looking for a hype niche. Here we have some kind of hype niche. He says: "Aha, this channel is getting views. Let me see what it's doing. I'll make the same videos. I'll paste it now , copy it, select it using a screenshot, paste it into the neural network, and say: " Make me the same videos." And the neural network says: "I'll make you the same videos." It creates scripts for him, selects topics. He films this content and, as a result, gets nothing. All this is called stupid copying. Stupidly copied, pasted. Yes, copied, pasted. It works, well, simply. But copying, pasting also needs to be done smartly. This is also done simply. Smartly copied. What can be copied? You can copy the topic. That's good, right? If copy it. But again, copy smartly. You mix niches. That is , let's say, there is a niche, let's say, and some history, medieval history, has gone well. You You take it and mix it with some other niche using a special prompt, and you get, basically, the same good niche, but different and, most likely , not yet present on YouTube. That's exactly what I did with this channel that you saw on the right. Well , I can show you again. Let me take go to the desktop, and I'll show you how to do it quickly; in literally two minutes, you'll understand how to mix niches. So, let me quickly tell you how I've already shown this method in my lessons, but let me show you, for example, another neural network. It will be Qu. I'm currently in Quen Studio. You can download the same QN 36+, probably at level four, and probably at level Clodset 4.5. Clodset 4.5 is a pretty decent neural network, but it's free. And the limits, of course, They're stripped down, but I still pretty large number of niches. So, download Quand Studio. Next, what do we do? Then we go to a table like this . And here we look at the niches you like, the one that's currently trending, and so on. Well, let's say we take urban legends, right? And so we need to remember urban legends. Take the prompt, just copy it from here, go here, just copy it from here, go here, paste it into Quen. And here, ah, let's insert a niche. Which niche is currently trending? Let's say this one, too. Well, let's not take the niche that's currently trending, but the niche that's already trending, yes, the one that no one does. But let's look at this example to see how it all fits together. And example to see how it all fits together. And this is your life. Here you need to write in more detail. person. And let's mix it up with some niche. Let's take The same niche we took, as we looked at before. Urban [snorts] looked at before. Urban [snorts] legends. Urban legends. Click here. Select the thinking format, yes, and click send. We have SKN thinking. And let's see what it gives us. By the way, these links, yes, these prompts . Then the list of niches that can, in principle, be used, is in my Telegram channel. Follow the link below, look and, ah, download, don't download, but use. And also, the link to the SKN studio will also be the link to the SKN studio will also be directly in the Telegram channel. So, I have directly generated the topics, yes, 20 topics. I liked this diary of a night archivist. Yes. And now, look, yes, the topics are basically normal, yes, but now a lot, ah, depends on, ah, not on what topic you choose a niche, Namely, it depends on the diary of a night archivist, videos the night shift of an archive employee. Cool, huh? I think I would take this topic. The route to sit comes tick day of an ordinary city dweller connected to the place. Urban legend. Ah, the shift of the person on duty on myths. A walk with the shadow of the city. Well, cool topics. Well, I would probably take this one. I really liked it. I will probably archivist. I liked it. That's it, take the topic and then test it. How to test? How do I test? [snorts] I just create a channel, warm it up, young video. If there are impressions, there are views, then you can continue working. If there are zeros, then I kind of give up , and already come to another topic. The second thing copy the script. This is also a good idea, in principle, but if you do it, again, it is smart. If you simply copy a script feed it into a neural network, and say, "Make me something similar, but on this topic," you'll get what's called a neural network. You'll get the same text, just on a different topic, just with different words. That is, the patterns, hooks, everything will be used the same. You don't need to do that either. You can take the text, but take it wisely. If you copy it, you'll read it yourself. First, write down the moments you liked, feed it into the neural network, and then, ah, ask, uh, create your own texts, using these interesting moments. You can watch my video on how to create texts. And somewhere it will be a link under this video. Go there and there you will find the generation according to the instructions, and simply insert these hooks into the instructions, which are the moments you liked in someone else's text. That is, You copy, great, that's fine, it will go well. The second problem that everyone and channels make, well, probably 99 channels that make this mistake, is a mistake in the scripts, a repeating script. What [snorts] does this mean? It means that, let's say, a person has some tool, the same pipelines, promts, it doesn't matter. He takes it and starts using it from script to script, from text to text. And what do we get? We get that, ah, a neural network, look, a neural network always takes the simple path. That is, it has some kind of driver, input data, it says: "Well, okay, I'll do it the same way." And all this stuff is already used along beaten paths . And at the output, when it is generated by one tool, without modifying it, a person gets the same text. Well, let's say, make some kind of soup, yes, there If you shove something in, then expect the output to be something different, not this soup—well, it's weird, but for some reason people do it. And what happens is do it. And what happens is that 10 videos, 20, 30, 100 videos are generated using the same tools, the same pipeline, and the same prompts . I'm talking about texts. And, ah, YouTube's non-growing network sees that, okay, dude, same text. And viewers subconsciously start thinking: "Well, yeah, . It seems to be a different topic, but the same thing. All this is reflected in your statistics, reflected in the statistics of the channel. You either get demonetized for some duplicate content or inauthentic content, or, more simply, your impressions are simply cut off. Maybe you've seen these channels, which have been running for a month or two already. It seemed like they were taking off, they were doing well, but then something happened to them, and, ah, the views started going down like that. This is where the repeating patterns of script usage happened. Well, in a high degree of probability. The audience is not stupid either. They watch and don't want to watch the same thing over and over again . So don't be a bore, yes, I don't know why I said this, but change patterns, change tools, refine the tools for creating your content. The third thing that most people who start their own channels and whose channels then fail or don’t work at all do is that they don’t work with their audience. And YouTube it, yes, it has long been introduced into any project, but as an added value. make videos through tools, there are it asks: "Add your own, add something of your own value." [snorts] And one of those values ​​is a living author, the author behind the channel. Now think that I am advising you to shoot a video with your face. Yes, this is good advice, but now is not about that, now is about working with the audience. What does it mean? This means, at a minimum, communicating with the audience, responding to comments, making posts in the community, and demonstrating that you're not just giving likes and answering standard questions, but engaging people in dialogue. Well, at least at first, yes, at the beginning of the channel, so that the algorithm and, uh, all these things that are used to check your channel, see that there is communication here, and there is an author here, yes, he responds to community, asks something. Well, there 's a face here, which means it already significantly, uh, reduces the risk of demonetization, loss of impressions, uh, uh, and builds a loyal audience around you. That is [snorts] even if you just call people by name in the comments, yes, such a life hack is interesting, then this will already create an army of your fans who will protect you from others, yes, attacks. This is very valuable, and for some reason no one uses it. So , you know, there are channels that they have there like comments, and they don’t even like them ignore them, and in the end the channel dies, because it’s either drowning in hate, because people start hating. People, other people come and also bad comments. All this is constant, all this needs to be worked on. Like if you want me to record a separate video about this. And the fourth point separate video about this. And the fourth point is the use of general anchors and, uh, in the niche in general on YouTube, uh, and content and so on. What do common and markers on. What do common and markers for, uh, all channels mean? This is by what, uh , moments, yes, patterns, by what signs, let me say signs, uh, a person, a viewer recognizes the content. And now, at a time when it is just entering our lives, it turns out that, well, a large number of people are negatively disposed towards content that is created with the help of AI. That is, it is clear that they are biased, yes, that through this you can create quality content, but we have what we have. And when they open the video, recognize the content and immediately turn it off, even despite what's inside. Your task is to remove these markers. They are used simply by inertia by everyone, because everyone copies each other and everyone uses the markers that they make. What kind of marker is there? The first marker that immediately detects that this is a fake and egg-like content is the inserts itself, yes, these ones that can be turned on, but the captions that the authors insert into the video. That is, for some reason it is believed that if I insert subtitles, people will read there and it will be more interesting. But yes, perhaps that is how it was. That might be true, but these captions are a really cool marker that this is a neural network, that this is garbage content. For example, when I open it and my friends open some video, they see these yellow subtitles, you know, full of mistakes. This is really soft. And they turn it off. Well, we get what we have, what we have. So if your content doesn't involve interaction with these captions, why are question. The second marker, a, and, which is common, is the use of common, is the use of some kind of lively, a, video sequence at the beginning, and then there are static images. This is also a marker I, which is easy to burn and is very clearly visible. That is, “Okay, look, you can animate the video here for the first 30 seconds, then you can make static images.” Yes, it worked until 3 months ago, it still worked, yes, essentially. Now it works worse and worse. Therefore, remove this pattern too. If you embed animated videos, then at least embed them throughout the video, and not just at the beginning. This is also a marker that different markers that also reveal content. Your task, if you want to fix all this, is to simply look at what markers are in the niche and simply speaking, not to do like everyone else. Let's say there was another marker in the used the same voice. Why, I don’t understand this, but they used it, they used one voice, one style and got everything, and, dismonetization, well, right there Let me also remind you that you will find a checklist for all these things in my Telegram. You'll also find posts about markers and other useful information YouTube. Subscribe to the channel and be sure to give it a thumbs up, I don't know how, but a thumbs up. Like this. Like this. And thumbs up. Like this. Like this. And more comments.