How much are people earning with AI generated content on youtube
- Raiframestudios
- Jan 18
- 3 min read
Updated: Jan 26
YouTube creators have always sought new ways to grow their channels and increase revenue. Recently, AI generated content has become a popular method to produce videos quickly and at scale. But how does the income from AI generated videos compare to traditional, manually created YouTube videos? This post explores the average earnings, backed by data and statistics, to help creators understand the potential of AI content on YouTube.
Average revenue of AI generated videos versus normal videos
AI generated content typically involves using tools like text-to-speech, automated video editing, and AI scripts to create videos with minimal human input. Normal YouTube videos, on the other hand, are crafted by creators who film, edit, and narrate their content manually.
Revenue per 1,000 views (RPM)
AI generated videos: On average, AI videos earn between $1.50 to $3.00 RPM.
Normal videos: Traditional videos usually earn around $2.50 to $5.00 RPM.
This means AI videos generally earn about 40% to 60% of what normal videos make per 1,000 views. The lower RPM for AI content is often due to less viewer engagement and advertiser preferences.
Monthly earnings comparison
A typical YouTube channel with 100,000 monthly views might see:
| Content Type | RPM Range | Estimated Monthly Revenue |
|--------------------|-----------|---------------------------|
| AI generated videos | $1.50-$3 | $150 - $300 |
| Normal videos | $2.50-$5 | $250 - $500 |
Creators using AI content can still make a decent income, especially if they produce videos consistently and optimize for SEO and viewer retention.
Why do AI generated videos earn less?
Several factors explain the revenue gap:
Viewer engagement: AI videos often lack the personal touch, leading to lower watch time and fewer likes or comments.
Ad suitability: Advertisers prefer placing ads on videos with clear human presence or original content.
Monetization policies: YouTube’s policies sometimes limit monetization on fully automated content unless it adds significant value.
Despite these challenges, some AI channels have found success by focusing on niches like fact-based summaries, news recaps, or educational content where automation fits well.
Examples of successful AI generated YouTube channels
Fact-based channels: Channels that use AI to compile facts, trivia, or news updates often attract steady viewers. For example, a channel summarizing daily news with AI narration can earn $200 to $400 monthly with 100,000 views.
Meditation and relaxation videos: AI generated ambient sounds and visuals attract niche audiences. These channels can earn $3 to $6 RPM due to longer watch times.
Automated tutorials: Some creators use AI to generate coding or language tutorials. These videos may earn closer to normal video RPMs if the content is high quality.
How to improve earnings from AI generated content
Creators can take steps to boost revenue from AI videos:
Add human elements: Include voiceovers or personal commentary to increase engagement.
Focus on niches with high CPM: Finance, tech, and health topics tend to have better ad rates.
Optimize SEO: Use strong titles, descriptions, and tags to attract organic traffic.
Engage viewers: Encourage comments and interaction to improve video ranking.
Use multiple platforms: Repurpose AI content on other sites to diversify income.
Final thoughts on AI content earnings on YouTube
AI generated content offers a faster, scalable way to produce videos but currently earns less on average compared to traditional videos. Creators can expect about half the RPM of normal content, but with consistent effort and smart strategies, AI channels can still generate meaningful income.
For creators considering AI content, the key is to blend automation with human creativity and focus on niches that perform well. This approach helps improve engagement and ad revenue, making AI a useful tool rather than a complete replacement.
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