Oct 03, 2026
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8 min read
You've been thinking about starting a YouTube channel for a while now, haven't you?
Maybe you've already chosen a niche. Maybe you've spent hours watching videos about cameras, editing software, thumbnails, and how the YouTube algorithm works. You might even have a few video ideas written down somewhere.
But there's one thought you can't seem to shake.
What if AI makes YouTube creators irrelevant before I even get started?
And I get why you're asking.
Open social media on any given day, and you'll probably come across another AI tool that can generate realistic videos, write scripts, create voiceovers, or edit footage in seconds. Things that once required hours of work are becoming surprisingly easy.
Naturally, you start wondering: If AI can create an entire video in minutes, why would anyone watch something I spent three days making? And if this is what AI can do today, what will happen five years from now?
Those are fair questions. I wouldn't tell you to ignore them.
But I think we're looking at this from the wrong direction.
We've become so focused on what AI can create that we're forgetting to ask why people watch videos in the first place.
And that difference might be the most important thing you understand before starting your YouTube channel.
TL;DR
AI is changing YouTube: AI will transform how videos are created and may reduce demand for some types of informational content.
People watch for more than answers: Viewers come to YouTube to laugh, relax, discover new things, follow their favorite creators, and enjoy experiences.
Our original research reveals an interesting difference: An analysis of 120 YouTube videos found notable differences between task-focused and experience-focused content, although it doesn't establish how AI will affect future views.
Entertainment remains a human experience: AI can summarize videos and automate tasks, but viewers may still prefer to experience entertainment themselves.
New creators still have opportunities: Instead of competing with AI to produce more videos, focus on creating content that people genuinely want to watch.
Forget about being a creator for a moment. Think about yourself as a viewer.
When was the last time you opened YouTube just to relax?
Maybe you watched a travel vlog because you've always wanted to visit Japan. Or you clicked on a gaming video because the thumbnail looked hilarious. Perhaps you ended up watching a 40-minute documentary about something you didn't even know you were interested in.
Now imagine having an incredibly advanced AI assistant.
You could tell it to watch that entire documentary and give you the important points in 30 seconds. It could explain the travel vlog, describe every funny moment in the gaming video, or tell you exactly how the documentary ends.
Technically, you'd have the information.
But would you feel like you'd actually watched those videos?
Of course not. You would have skipped the very thing you opened YouTube to enjoy.
Think about watching a football match. You could ask AI who won, who scored, and which moments were important. But if you're a football fan, you probably want to see those moments unfold yourself.
You want the anticipation before a penalty. You want to experience the frustration when your team misses an opportunity. You want to celebrate when something unexpected happens.
The final score isn't the entire experience.
That's the difference between getting something done and enjoying something while it happens.
And I believe that difference is going to matter enormously in the AI era.
Let's imagine something.
A few years from now, your AI assistant might handle most of your routine digital tasks. It could organize emails, prepare reports, compare products, create presentations, and help manage your schedule.
Tasks you used to spend hours completing could become much easier.
Now, does that mean everyone will suddenly have five extra hours of free time every day? Probably not. Employers might expect more work. People might take on additional responsibilities. Life doesn't automatically become a vacation just because technology improves.
But something important is changing.
We're getting better at building technology that handles the activities we don't necessarily enjoy doing ourselves.
And here's the question I want you to think about.
If we increasingly use AI to avoid spending time on routine tasks, does that mean we'll also want AI to experience our entertainment for us?
I don't think those two things work the same way.
When you use AI to organize 200 emails, you're usually happy that you didn't need to read through every message yourself.
But when you're watching your favorite creator explore a new country, spending time with the video isn't necessarily a problem. It's the reason you're there.
You aren't trying to finish the video as efficiently as possible. You're enjoying it.
That's why I don't see the future of AI as simply a world where humans stop watching videos.
Instead, I see a future where the distinction between content we need for an answer and content we choose for an experience becomes increasingly important.
And that creates an interesting opportunity for YouTube creators.
I don't want to build this entire argument around predictions about the future.
So let's look at something we can actually observe.
An original exploratory study prepared for this article examined 120 publicly listed YouTube videos on October 31, 2026.
The videos were divided into two groups. One group contained 60 videos found through task-oriented searches, where viewers were generally looking for help completing something. The other contained 60 videos found through experience-oriented searches, such as entertainment, travel, and other content people might choose to enjoy.
Both groups used the same publication-date and video-duration filters.
Here's what stood out.
The task-oriented videos had a median of approximately 24,207 views. The experience-oriented videos had a median of 389,000 views.
That's about 16 times as many views at the median in this particular sample.
Pretty striking, right?
But before you decide to abandon educational content and start a comedy channel, there's something else you need to know.
The experience-oriented videos generally came from much bigger channels. Their median channel had 274,500 subscribers, compared with 32,450 subscribers for the task-oriented group.
That matters a lot. Larger channels may have established audiences, stronger distribution, and other advantages. When the analysis accounted for channel size and certain video characteristics, the remaining difference was too uncertain to draw a firm conclusion.
So this research doesn't prove that entertainment videos are automatically more successful. And it certainly doesn't prove that AI will make entertainment channels grow.
Still, it gives us a useful reason to think more carefully about why people watch different kinds of content.
The study also examined 200 publicly visible YouTube comments across eight videos.
In the task-oriented group, 48 out of 100 comments contained predefined words associated with getting help or solving a problem.
In the experience-oriented group, that number was just eight.
Meanwhile, 25 comments in the experience group contained words associated with enjoyment, compared with seven in the task group.
These were simple keyword matches, not a definitive measure of what viewers were feeling. A comment can express appreciation, criticism, or several motivations at once.
But picture the difference in the two conversations.
Under a tutorial, someone might say, "Thanks, this fixed my problem."
Under an entertaining video, someone might say, "I laughed so hard," or "I've watched this three times."
Both are valuable responses. They just point toward different reasons for watching.
One viewer wanted to accomplish something. Another wanted to enjoy something.
And for someone starting YouTube today, knowing which experience you're offering can help you make better decisions about your content.
Not at all. And I want to be clear about that because I know some of you are planning to start educational or tutorial channels.
Imagine you want to learn how to create a simple spreadsheet formula.
Today, you might search YouTube, find a tutorial, and watch someone explain it.
But what happens when your AI assistant can give you the formula immediately, explain why it works, and even insert it into your spreadsheet?
You may not need that particular tutorial anymore.
That's a genuine concern for creators whose videos mainly provide short, straightforward answers.
Now consider a different situation.
You're trying to fix something inside your computer. You've never done it before, and you're worried about damaging a component.
Would you be satisfied with three paragraphs of AI-generated instructions?
Maybe. But you might also want to watch someone open the computer, identify the components, explain possible mistakes, and demonstrate the repair.
Watching the process could be more useful than reading the answer.
The same applies to cooking, photography, woodworking, programming, design, and countless other skills.
Sometimes people need information. Other times they need to see someone actually doing the work.
And sometimes they simply learn better from a particular person.
You probably know a teacher or YouTube educator who can explain something complicated in a way that suddenly makes sense. Their value isn't just the information. It's how they communicate it.
So if you're planning an educational channel, please don't assume your opportunity has disappeared.
Instead, ask yourself something simple:
If AI can answer my viewer's question, what extra value will they get from watching me explain it?
Maybe it's your practical experience. Maybe it's your ability to demonstrate difficult steps. Maybe it's the mistakes you've made and can help others avoid.
That's where you should focus your energy.
One thing I find encouraging about AI is how much easier it can make the early stages of content creation.
Imagine you're a university student who wants to start a technology channel.
You don't have a professional camera, an expensive microphone, or money to hire an editor. You have a phone, a laptop, and a few hours after classes.
A few years ago, learning every part of video production could have felt overwhelming.
Today, AI tools can help organize your ideas, improve rough scripts, generate captions, assist with editing, and remove some of the repetitive work.
That doesn't mean the entire process becomes effortless.
You still need to decide what your audience cares about. You need to figure out how to explain ideas clearly. You need to make creative decisions, practice speaking, and learn what keeps viewers interested.
But think about what this means.
Instead of spending all your available time on repetitive editing tasks, you might spend more time improving your actual videos.
You could test a product yourself. Film a useful demonstration. Interview someone interesting. Or rewrite an introduction until it finally makes viewers curious enough to continue watching.
For a beginner, that's a meaningful opportunity.
You don't have to learn every production skill to a professional level before uploading your first video.
Use AI to help with the work around your content. Keep learning how to make the content itself worth watching.
That's a much more useful strategy than trying to compete with AI at everything it does.
Let's talk about the uncomfortable possibility.
What if AI becomes so advanced that it can generate a beautiful documentary, a hilarious comedy series, or an incredibly realistic travel adventure from a single prompt?
What if the videos are genuinely entertaining?
Would people watch them?
I think many people could. There's no reason to assume that every viewer will reject AI-generated entertainment.
And telling new creators that human-made content will always win would be misleading.
But here's something I want you to consider.
You don't choose every video based on production quality alone, do you?
Think about a creator you enjoy watching.
Maybe they aren't the funniest person on YouTube. Their camera might not be the best. Their editing may be fairly ordinary.
Yet you keep coming back.
Why?
Maybe you like their personality. Maybe you trust their opinions. Maybe you've followed their journey for years, and you're curious about what happens next.
Or perhaps there's something familiar about the way they speak. Watching their videos feels like catching up with someone you know.
That kind of connection can be an important part of why audiences return.
AI-generated personalities may also develop audiences and communities. I'm not suggesting that connection is exclusive to human creators.
I'm saying that producing impressive footage isn't the only thing that makes content valuable.
For human creators, lived experience, personal judgment, consistency, and the relationships they develop with viewers are all possible ways to stand out.
You don't need to pretend that AI isn't improving.
You need to understand that a great video and a video people genuinely care about aren't always the same thing.
Let me ask you something.
If you're planning to start YouTube, what exactly are you waiting for?
Are you waiting until you can afford a better camera? Until you become confident speaking? Until you understand the algorithm perfectly?
Or are you waiting to see whether AI will replace creators?
Because if it's the last one, you could be waiting forever.
AI isn't going to stop developing so that everyone can feel comfortable making career decisions.
There will probably always be a new tool, a new capability, and a new prediction about which creative profession will disappear next.
And while you're trying to predict the future, you're not learning how to create.
Someone else might be uploading their first awkward video today. They'll probably make mistakes. Their editing might look terrible. They may get only a handful of views.
But they'll learn something from the process.
Then they'll make another video.
Maybe they'll improve the sound. Maybe they'll experiment with a different introduction. Maybe they'll discover that their audience enjoys a particular topic more than the one they originally planned.
Over time, those small lessons can become valuable experience.
Now, starting earlier doesn't guarantee success. Plenty of creators work hard without building a large audience. And uploading consistently doesn't guarantee that the algorithm will reward you.
But actually creating gives you opportunities to learn things you can't discover by endlessly researching whether YouTube has a future.
If you're ready to move from thinking about a channel to actually building one, our guide on how to create a YouTube channel and make money walks through the practical side of getting started.
Your first video doesn't need to prove that you're going to become a successful creator.
It just needs to get you started.
I wouldn't begin by asking which niche AI will never touch.
That's a difficult promise to make about any field.
Instead, I'd start with three questions.
This matters more than beginners sometimes realize.
If you choose a topic simply because someone claims it's profitable, what happens when your first ten videos get almost no attention?
Will you still want to make the eleventh?
You don't need to be passionate about every aspect of content creation, but having a real interest in your subject can make the learning process more sustainable.
This is the question I'd spend the most time answering.
Imagine someone is about to click on your video. They have plenty of alternatives, including AI assistants.
What are you offering?
Maybe you're showing what it's actually like to build a small business from scratch. Maybe you're documenting your first year learning photography. Perhaps you're making funny videos about everyday situations or demonstrating software in a way beginners can understand.
Whatever you choose, make sure there's a clear reason someone might enjoy spending time with your content.
And don't rely entirely on guessing what people want.
Pay attention to the questions people ask, the frustrations they share, and the conversations happening around your niche. Once you begin building an audience, understanding those discussions can help you develop better ideas. Our roundup of the best social listening tools for YouTube marketing is a useful starting point if you want to explore that approach.
This is where I'd use technology aggressively but thoughtfully.
I'd let AI help organize ideas, prepare transcripts, suggest edits, and take care of repetitive administrative work.
But I'd spend my own time learning how to tell better stories, explain things clearly, understand my audience, and make videos that feel engaging.
I would also set a simple goal: create twelve videos before making any major judgment about whether the channel is worth continuing.
Not because twelve is some magical number.
But because it gives you a manageable project.
After those videos, you can look at what you've learned. Which topics were enjoyable to produce? What did viewers respond to? Where did people stop watching? What would you like to improve?
You might discover that your original niche needs adjustment. That's fine.
The goal isn't to predict everything correctly before starting.
It's to become better at making decisions as you gain experience.
There's another side of AI that deserves attention.
As video production becomes easier, more people may be able to create content.
That sounds wonderful for creators, but it also introduces a challenge.
Imagine opening YouTube and finding thousands of videos covering almost identical topics, using similar scripts, similar narration, and similar visuals.
Would you watch all of them?
Of course not.
You'd choose the ones that looked useful, interesting, entertaining, or relevant to you.
That's why I'm not convinced the future belongs to whoever can generate the largest number of videos.
Content production might become increasingly inexpensive, but people's attention won't become unlimited.
You still have only so much time in a day. So does everyone watching YouTube.
And every creator is competing with much more than other creators. They're competing with games, movies, music, social media, family time, work, and everything else people might choose to do.
This is where I think a real opportunity exists.
As technology makes it easier to produce videos, giving people a compelling reason to choose yours could become more valuable.
That doesn't mean every creator needs to become a celebrity or build an enormous personal brand.
You could make genuinely useful tutorials for a small audience. You could document experiences that interest a specific community. You could entertain people who appreciate your particular style.
The goal is to understand whom you're creating for and why they should care.
That's something worth learning regardless of how advanced AI becomes.
If you've read this far because you're afraid to start, here's what I want you to remember.
You don't have to compete with artificial intelligence at being artificial intelligence.
You don't have to produce a hundred videos a week. You don't need Hollywood-level visuals or a perfect voice. And you certainly don't need to know exactly what YouTube will look like in 2035.
You need to start learning how to make something worth someone's time.
Will AI change YouTube? Absolutely. It already changes how creators work, and future developments may reshape what audiences watch.
Will some types of videos become less valuable? That's a realistic possibility, especially when people can get the same result faster through other tools.
Will AI-generated entertainment become a serious competitor? Very possibly.
But none of those possibilities means your desire to create has become pointless.
And remember, building a channel isn't only about surviving technological changes. There are practical challenges along the way, too. Growing an audience takes patience, and even after you reach the requirements to apply for monetization, the process may not always move as quickly as you'd hoped. If you eventually find yourself wondering why your YouTube monetization review is taking too long, that's a separate challenge you can work through rather than a reason to abandon your channel.
Remember the distinction we started with.
When people want a task completed, they'll often welcome tools that save them time.
When they want an experience, they may happily spend their own time enjoying it.
And YouTube offers countless kinds of experiences, from learning practical skills through demonstrations to watching someone tell a story that stays with you long after the video ends.
No one can guarantee that your channel will succeed.
But AI doesn't need to disappear for you to have a chance to build something valuable.
So if you've been sitting on an idea for months, wondering whether the world still needs another YouTube creator, maybe that's not the question to ask.
Ask yourself whether there's something useful, interesting, funny, or meaningful that you'd genuinely enjoy sharing with people.
If there is, make the first video.
It might not be perfect. It might not attract many viewers. But you'll have started doing something that endless predictions about the future can't do for you: learning how to create.
And as AI continues to change the world, that ability to adapt, communicate, and give people a reason to pay attention could be well worth developing.
AI will make it easier to create videos. Your job is to give people a reason to watch yours.
YouTube Growth & Content Strategy Specialist
Daniel Mitchell writes about YouTube growth, video SEO, monetization, and creator tools at YouTube Toolkit. His articles focus on practical strategies, clear explanations, and actionable tips to help creators improve their content, reach more viewers, and build successful YouTube channels.
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