YouTube on Tuesday announced a new creator-focused artificial intelligence (AI) feature. Powered by Google’s own AI chatbot Gemini, the new tool lets video creators on the platform brainstorm video ideas. The Gemini AI tool can help users come up with ideas for thumbnails, video titles and suggest an outline for the video. The AI-powered brainstorming tool is in beta and will only be available to select content creators on YouTube. Last month, the video streaming giant reportedly tested a custom radio station feature in YouTube Music.
In a video On YouTube’s Creator Insider channel, the company announced the AI feature, which is currently in testing and is part of the video streaming platform’s Gemini Studio integration. The feature brings a distilled version of the chatbot that can help users generate video outlines and titles, and make suggestions for thumbnails.
YouTube Gemini AI brainstorming tool
Photo credit: YouTube/Creator Insider
This content brainstorming tool will join YouTube’s existing experimental AI tool called Ideas and Outlines that also offers a similar use case. The in-house tool can create outlines based on text prompts, surface similar ideas to further improve the content, and surface similar content with the same idea that people are viewing.
In the video, the company announced that this feature will now be available in India. It was shown in Hindi, but it is not known if support for other regional languages has been added.
YouTube AI Ideas and Feature Overview
Photo credit: YouTube/Creator Insider
According to a report According to TechCrunch, when a content creator opens YouTube Studio and types a video idea into the search bar, they’ll see both options from Gemini and the in-house AI tool. They can then choose which one they want to use. With this new addition, the video streaming giant reportedly wants to gauge which feature creators prefer the most.
A company spokesperson told the publication that the Gemini AI tool will be available to a select number of creators as part of a limited experiment. Based on feedback from the test group, the platform will then decide whether or not to roll it out to a wider user base.
