Using AI on YouTube is no longer just about writing a script with a chatbot. From ideation and editing to dubbing, analytics and protecting your face and voice, AI is present in almost every stage of making a video, and at Made on YouTube (October 1, 1405 in the Persian calendar) YouTube introduced a new set of tools. In this article we go through 7 practical uses, and explain what helps a channel grow and what puts your income and reach at risk.

1. Ideation and keyword research

Every video starts with a good idea. In this stage AI speeds up three things: suggesting different angles on a topic, grouping audience questions, and finding content gaps compared with competitors. YouTube has built the Inspiration section and the Ask Studio assistant for this, which suggest ideas based on your channel’s stats and your viewers’ interests.

The key point is to check every suggested idea against real search data. We cover the full method in how to find the right ideas and keywords for a YouTube video.

2. Writing the script and structuring the video

AI is excellent at producing a first draft, suggesting an opening hook, dividing chapters and rewriting rough text. But if you take the whole core narrative from AI without adding anything yourself, your video looks like thousands of others, which is exactly what YouTube’s ‘inauthentic content’ policy targets.

The safe approach is to let AI outline and draft while you add personal experience, your own numbers and your own tone. Full guide: using AI to write YouTube video scripts.

3. Thumbnails and titles

As YouTube announced in September 2026, Studio is getting a thumbnail generation feature that matches your channel’s style, and A/B testing for titles and thumbnails has been available since 2024. Reports say creators have run more than 40 million title and thumbnail tests so far. This means a good thumbnail is no longer guesswork: you can make two or three versions and see which gets the better CTR.

For tools, see AI image tools for creating YouTube thumbnails, and for the metrics, click-through rate and audience retention.

4. Editing and making Shorts

One of the biggest announcements at Made on YouTube 2026 was a conversational editing assistant for Shorts and the YouTube Create app. According to reports this tool uses Gemini technology and helps with tasks such as removing pauses and moving clips to improve pacing. Veo had been introduced in Shorts earlier, to create backgrounds or clips from a text prompt, although at first it opened in only a few countries. YouTube says that in August 2026 hundreds of thousands of channels used these features every day.

For long videos, tools such as noise removal, automatic subtitles and silence removal multiply editing speed. We looked at equipment and software in equipment needed for professional YouTube video editing.

5. Dubbing and translation for a global audience

Automatic dubbing lets you offer a video in other languages and reach new audiences. YouTube says that real-time dubbing for live streams is also coming in early 2027. Support for each language, including Persian, and its availability for your channel should be checked in the settings and the languages tab in Studio, because features do not open in all countries and languages at the same time.

6. Analytics and decision-making

Ask Studio answers questions such as ‘why did this video’s views drop?’ or ‘which topic is watched the most?’ in plain language and, according to YouTube, is also coming to the mobile app. YouTube is also testing AI feedback on unpublished drafts for pacing and storytelling. Still, check the numbers yourself too; to learn how to read analytics, read YouTube Studio analytics for channel growth.

7. Comment management and protecting your identity

YouTube is testing an AI comment-moderation system that adapts to each creator’s preferences. Alongside it, the Likeness Detection tool, which finds videos made with your face that are spreading, is expanding, and according to reports voice detection is being added to it. If your channel is known by your own face and voice, this tool matters.

YouTube’s rules for AI-generated content

Two separate policies exist, and they are often confused:

• Disclosure of synthetic content: If a video contains a face, voice, scene or realistic event that was created or heavily altered with AI and viewers could think it is real, you must turn on the disclosure option when uploading.
• Inauthentic content: This policy replaced ‘repetitious content’ in July 2025 and, according to reports, received a further clarification on July 16, 2026. It covers template-style videos and mass-produced content, disturbing content, and the use of AI characters for sensitive topics such as health and finance. A channel that mainly produces this kind of content is removed from the Partner Program, whether or not it was made with AI.

For how this connects to Shorts reach, see the new YouTube Shorts update and content originality.

A suggested workflow for every video

• Before recording: Validate the idea and keyword with AI, write the video structure and make several versions of the opening hook.
• While recording: Share your own experience and opinion; do not hand this part to AI.
• Editing: Leave removing silence, noise and subtitles to the tool, and approve the final pacing yourself.
• Packaging: Make two or three titles and thumbnails and run an A/B test.
• After publishing: Read the stats with Ask Studio and apply the result to your next video.

Frequently asked questions

Does using AI get my monetization cut?

Not by itself. According to published guidance and reports, YouTube’s policy targets mass-produced, template-style, low-value content. If AI is only a helper and the video has real value, it is not a problem.

When should I disclose AI-generated content?

When a face, voice, scene or realistic event has been created or altered in a way that could mislead the viewer. Ordinary use in production, such as help writing a script, usually does not need disclosure. For exact details, see YouTube’s official guidance page.

Are these tools available for all channels and countries?

No. Some features open first in a few countries or for some creators. Check your channel’s status in YouTube Studio.

Where should I start?

Ideation and analytics are the lowest-risk starting points. After that, add editing and thumbnails.

Conclusion

Used correctly, AI on YouTube cuts production time and lets you focus on what a machine cannot make: experience, perspective and a real connection with the audience. If you plan to monetize, also read the new YouTube monetization requirements 2027. For a free YouTube consultation, leave your number in the form at the bottom of the page.

Related articles

• New YouTube features 2026 and the AI tools announced at Made on YouTube
• Using AI to write YouTube video scripts
• AI thumbnail tools for YouTube
• Creating images and animation with AI for a YouTube channel
• 10 essential tools for YouTube content creators

Sources

• YouTube Studio introduces native generative AI tools for creators (Adgully)
• YouTube launches AI creator tools, expands shopping to 35 countries (Yahoo)
• YouTube Announces AI Editing, Auto-Dubbing and Custom Feeds (Technobezz)
• YouTube clarifies policies around AI slop and upsetting videos (TechCrunch)
• YouTube’s New 2026 Policies (UpTube)