YouTube has introduced custom feeds, an AI-driven feature that allows users to generate personalized video recommendations by describing their interests or moods in their own words. The feeds are built using Google's Gemini AI model and anchored as separate tabs on the YouTube home page.
- Users describe desired video content to build custom feeds.
- Feeds powered by Google’s Gemini AI appear as separate tabs.
- Feature rolls out on web and mobile starting next month.
What happened
YouTube announced a new AI-driven feature called custom feeds, which allows users to create personalized video recommendation streams by typing descriptions of the kind of videos they want to watch. Instead of passively receiving content based on algorithmic guesswork, users can now specify interests, moods, or contexts, such as videos suitable for a train commute or relaxing commentary content.
The custom feeds are generated using Google’s Gemini AI model, which interprets the written prompt to curate a feed aligned with the user's request. These feeds do not replace YouTube’s main recommendation feed but are pinned as dedicated tabs on a user’s home screen for easy access.
Why it matters
YouTube hosts over 20 billion videos, making content discovery both an opportunity and a challenge for users. This new feature addresses the problem by giving users direct control over how their feeds are curated, potentially improving relevance and engagement with the platform.
The move reflects a broader industry trend where social platforms empower users to 'build their own algorithms' through AI tools, enhancing personalization while fostering deeper user interaction. By leveraging Gemini AI, YouTube taps into advanced language understanding to interpret nuanced user requests and tailor recommendations more precisely.
What to watch next
YouTube plans to roll out support for creating multiple custom feeds across web and mobile starting next month, enabling users to switch between various personalized content streams depending on their needs or preferences.
The effectiveness and adoption of this feature will be key to watch, as it could influence how users engage with YouTube and how other video platforms adopt similar AI-powered feed customization tools in the competitive digital video space.