News in Short
- YouTube has launched “Your Custom Feed,” an AI-driven playlist generator based on text prompts.
- The feature creates personalized video feeds around user interests, routines, or learning goals.
- Users can edit prompts anytime and pin custom feeds to the top of the homepage.
- The rollout currently supports signed-in users in the US using YouTube in English.
YouTube has introduced a new AI-powered feature called “Your Custom Feed” that allows users to create personalized video playlists using simple text prompts. The feature is rolling out for signed-in users in the US and could significantly change how people discover content on the platform.
The new YouTube AI feature lets users type what they want to watch instead of endlessly scrolling through recommendations. That means users can now ask YouTube for curated feeds around workouts, podcasts, hobbies, or learning topics, and the platform will generate a customized stream automatically.
What Is YouTube’s AI Custom Feed Feature?
YouTube’s new “Your Custom Feed” feature works like an AI assistant for video discovery. Instead of relying entirely on the platform’s recommendation algorithm, users can directly tell YouTube what kind of content they want.
For example, users can type prompts like “15-minute beginner yoga workouts without equipment” or “deep-dive AI podcasts for work productivity.” The platform then generates a curated feed matching those interests.
The feature appears as a chip at the top of the YouTube homepage. Once selected, users can enter or modify prompts anytime. YouTube also allows these custom feeds to stay pinned on the homepage for faster access later.
This changes the interaction model from passive recommendations to active intent-based discovery.
Why Is YouTube Moving Toward Prompt-Based Discovery?
For years, YouTube recommendations depended heavily on watch history, subscriptions, and engagement signals. However, users often struggled to “reset” recommendations or quickly explore a specific interest without confusing the algorithm.
This new YouTube AI system introduces a more direct approach.
Instead of training the algorithm over several days, users can instantly shape their homepage around a temporary goal, mood, or interest. Someone preparing for exams may want productivity content for one week. Another user may temporarily switch to cooking tutorials or travel documentaries.
The update also reflects a larger shift happening across tech platforms. AI prompts are becoming the new search bar.
Spotify recently introduced AI Prompted Playlists for music and podcasts. Now YouTube is bringing similar prompt-driven personalization to video streaming.
How Does YouTube AI Custom Feed Actually Work?
The feature depends on user prompts combined with YouTube’s existing recommendation engine and watch history.
To access it, users need:
A signed-in YouTube account
YouTube watch history turned on
YouTube search history enabled
English language support
Once active, users can type detailed prompts describing what they want. The AI then builds a dedicated feed around that request.
The more specific the prompt, the more refined the results become.
This means users could eventually create highly niche feeds such as:
“Short documentaries about abandoned cities”
“Tech explainers under 10 minutes”
“Calm late-night podcasts without loud intros”
That level of specificity gives users more control than standard recommendations.
Could This Reduce Endless Scrolling on YouTube?
One of the biggest problems with streaming platforms is decision fatigue. Users spend large amounts of time scrolling instead of watching.
YouTube appears to be addressing that directly.
By allowing AI-generated feeds based on intent, the platform may reduce homepage clutter and shorten content discovery time. Instead of browsing random recommendations, users immediately enter a focused content environment.
This could also help educational creators and niche channels surface faster because discovery becomes prompt-driven rather than purely engagement-driven.
At the same time, it raises fresh questions about how AI will influence visibility and recommendation fairness across creators.
What This Means for the Future of YouTube Recommendations
The launch of YouTube AI custom feeds signals a broader transformation in how online platforms organize content.
Traditional algorithms usually predict what users may want next. Prompt-based AI systems, however, allow users to directly define their interests in real time.
That difference matters.
It shifts control slightly away from automated recommendation loops and gives users more influence over what appears on their screen.
The feature is still limited to US users in English, but broader expansion appears likely if engagement remains strong. As AI becomes deeply integrated into streaming platforms, personalized discovery may evolve from algorithmic guessing into conversational interaction.
And with YouTube now entering the AI playlist race, video discovery itself may be entering a completely new phase.