YouTube introduced a “custom feeds” feature that lets users describe, in natural language, the types of videos they want recommended. Google’s Gemini AI interprets these prompts to create personalized feeds, pinned atop the YouTube homepage. The tool allows detailed instructions about topics, formats, priorities, and exclusions, supporting multiple feeds for different scenarios, such as commutes or specific moods. It complements rather than replaces YouTube’s main recommendation feed and works across web and mobile. This move follows similar AI-powered feed-building tools from platforms like Bluesky, Threads, Instagram, X, and Spotify. YouTube expects custom feeds to improve navigation of its enormous video library, with rollout beginning next month.
This update represents a notable development in the Board sector. Organizations and founders tracking this space should evaluate potential strategic and technical implications on their operations.