Netflix Launches AI Discover to Combat Scroll Fatigue
AI-generated image · US National Wire
The streaming giant is testing a mood-based discovery layer that moves beyond static algorithms.
Netflix is attempting to solve the problem of the "infinite scroll" by introducing a new "AI Discover" tab on its TV app. According to reporting from TechCrunch and The Verge, the feature is designed to shift the user experience away from endless scrolling and toward a more personalized, AI-powered discovery process.
The centerpiece of this update is a mood-based recommendation system. TechCrunch reports that users can select from curated themes based on their current mood, viewing preferences, or time constraints. Examples of these themes include "something light," "scare me," "family movie night," and "quick watches." Once a theme is selected, the platform surfaces matching recommendations. Users can further refine their search by selecting more specific themes or using a "something different" option to reset the process.
From an operational standpoint, Netflix is treating this as a "test kitchen" to experiment with new discovery "recipes." The company stated in a blog post that while it has spent years refining taste-based recommendations via "My List" and "Thumbs Up," the AI Discover tab adds a new layer of exploration. To ensure the system evolves, Netflix has included a "Tune Your Recommendations" button next to the "Play" and "My List" options, allowing users to save preferred suggestions or exclude titles they no longer wish to see.
According to both TechCrunch and The Verge, this functionality is powered by a new intelligence layer that learns and responds to user input in real time. The rollout is currently beginning in the U.S. for English-speaking users on supported TVs, appearing as a "Discover" button with a red gem icon and a "New" label in the top navigation bar. Netflix intends to expand access to more users in the coming weeks.
This pivot toward mood-based navigation comes at a critical time for the company. The Verge notes that the announcement follows recent layoffs of approximately 1,000 employees, amid reports of slowing growth and a decline in user viewing time.