YouTube Launched Experimental AI Custom Feeds
The new feature allows users to generate personalized recommendation feeds using conversational prompts.
Updated on Sept. 24, 2026 in Artificial Intelligence
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YouTube has introduced an experimental AI-powered Custom Feeds feature that lets users create unique recommendation tabs through conversational inputs. The tool is currently available on web, mobile, and TV platforms for users in the United States.
Why it matters
This feature provides users with greater control over content discovery, though it has sparked debate among industry experts regarding the future of traditional algorithmic targeting.
The system utilizes generative conversational prompts to create feeds that refresh automatically. It is currently undergoing a broad test across web, mobile, and TV interfaces.
The players
YouTube
A global video-sharing platform that is testing new AI-driven personalization tools for its users.
Albanese Government
The current administration in Australia that has proposed new regulations regarding platform recommendation algorithms.
The details
Users trigger the creation of a dedicated homepage tab by describing their desired content in natural language. While the rollout currently targets the U.S. market, expansion plans include Australia and New Zealand.
Timeline
September 2026: YouTube officially announced the experimental Custom Feeds feature.
September 2026: The Australian government introduced regulatory proposals for algorithmic opt-outs.
The Tech Race
The introduction of customizable AI feeds represents a strategic shift from passive algorithmic delivery to active, user-directed content curation. This development follows directly in the wake of the Albanese Government's My Feed, My Way regulatory proposal.
Users can now curate their homepage experience by inputting specific topics into the conversational interface, effectively bypassing standard platform suggestions. This shift requires users to be more active in defining their viewing habits to optimize the feed's output.
The takeaway
As platforms move toward more personalized, user-led discovery, viewers should experiment with specific prompts to tailor their experience. This trend toward transparency may offer more control but also shifts the burden of content discovery onto the user.
Further reading
For more on how generative tools are changing digital platforms, see our Artificial Intelligence section.
Source note: This article includes information reported by B&T.
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Should social media platforms provide users with more control over their personalized content feeds?
