Opinion
The problem is not that AI videos exist. The problem is that most of them are irrelevant.
The criticism is fair. Most AI-generated videos do feel like slop. But that is not proof that nobody watches AI video. It is proof that generic, low-relevance content loses attention fast.
The criticism is fair
One of the most common objections I hear when pitching Blog2Video is simple: AI videos suck and nobody watches them. I understand where that reaction comes from. Most of us are exhausted by low-effort AI content, and I am not pretending the internet needs more generic sludge with captions and background music.
A lot of AI video really is bad. It is vague, repetitive, visually generic, and clearly made without any real understanding of the audience. If that is what people mean by AI video, then the criticism is not wrong.
What people actually hate is irrelevance
The deeper issue is not that the content was made with AI. The issue is that the content is not useful enough to earn attention. When a video says nothing specific, teaches nothing concrete, and looks like it could belong to any niche, viewers scroll immediately.
That is why the right question is not whether AI generated the video. The right question is whether the video is relevant to the audience. If it solves a problem they care about, says something specific, and matches the context they are already in, the viewer usually does not care how the draft was made.
- Generic AI videos fail because they are interchangeable.
- Relevant AI videos can work because they meet an existing demand.
- Audience fit matters more than the label attached to the workflow.
- Useful content gets watched before it gets judged.
A small weekend test made that obvious
Over the weekend, I made two videos and posted them to a TikTok page that was only about three weeks old. According to TikTok's own notification system, those videos performed better than 90% of creators with similar follower counts.
That does not prove AI videos are inherently better, and I am not claiming otherwise. The page is still small, nothing has gone viral, and I was not inflating the numbers with ads. But it is still evidence against the blanket claim that nobody watches AI-generated video.
What it suggests is simpler and more useful: when the content is relevant to the audience, people will watch. That lines up with what I keep hearing from paid users too.
This is why most AI video products disappoint
Many AI video tools optimize for instant output instead of audience relevance. They summarize the source material into vague sentences, layer them over stock visuals, and produce something technically complete but strategically empty. The result looks like AI because nothing in it feels earned.
A better workflow starts from content that already has signal: a good blog post, a strong newsletter, a useful tutorial, a real explanation. Then the job of the tool is not inventing fake value. The job is carrying existing value into a new format without flattening it into slop.
What this means for Blog2Video
Blog2Video only works if the input is worth watching in another format. That is the whole bet. Start with real content that already matters to a specific audience, preserve the structure, keep the explanation intact, and turn it into a video people can actually consume.
That is also why I do not think the future belongs to generic AI content factories. It belongs to workflows that help good creators and teams get more mileage from content they already know their audience cares about.
Frequently Asked Questions
Are most AI videos bad?
A lot of them are, especially when they are generic, low-effort, and disconnected from what the audience actually wants. The problem is usually relevance, not the presence of AI itself.
Does this prove AI videos outperform human-made videos?
No. A small performance signal on a new page is not a universal conclusion. It is just evidence that viewers will watch AI-assisted video when the content is relevant enough.
What kind of AI videos tend to work best?
Videos built from real source material such as tutorials, blog posts, explainers, newsletters, and educational content tend to work better than generic prompt-first videos with no specific audience fit.
Why does Blog2Video focus on written content first?
Because a good article, guide, or post already contains tested ideas and audience relevance. Repurposing that into video is usually stronger than generating something vague from scratch.