Spotify tests AI-powered Prompted Playlists that let users control their recommendation algorithm

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Spotify is testing a new AI feature called Prompted Playlists that gives Premium subscribers in New Zealand unprecedented control over their music recommendations. Users can now write detailed prompts to create highly personalized playlists that draw from their entire listening history, with options to refresh automatically on a daily or weekly basis.

Spotify Introduces AI Feature That Puts Users in Control

Spotify announced on Wednesday that it's launching Prompted Playlists, a new AI feature designed to give users more control over their recommendation algorithm

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. The beta feature rolled out December 11 to Premium subscribers in New Zealand, marking what the company describes as "the first time" users can actively direct how the streaming platform's algorithm behaves

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. Currently available in English only, the tool allows listeners to describe exactly what they want to hear through detailed text prompts, with Spotify's AI then curating personalized playlists based on those instructions and the user's listening history

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Source: TechRadar

Source: TechRadar

How Prompted Playlists Differ From Existing AI Playlist Option

While Spotify debuted its AI playlist option last year, the new AI-powered 'Prompted Playlists' represent a significant evolution

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. Unlike previous offerings, users can now write much longer prompts with far more specific instructions. The feature factors in world knowledge and draws from a user's entire listening history "all the way back to day one," reflecting "not only what you love today, but the full arc of your taste," according to Spotify

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. Users can request something like "music from my top artists from the last five years" and then refine it further with "deep cuts I haven't heard yet"

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. More complex prompts are also possible, such as "high-energy pop and hip-hop for a 30-minute 5K run that keeps a steady pace before easing into relaxing songs for a cool-down"

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Source: TechCrunch

Source: TechCrunch

Creating Your Own Discover Weekly With Automatic Refresh

One of the most compelling aspects of Prompted Playlists is the ability to set how often the playlist refreshes—daily or weekly—effectively allowing users to create their own version of Spotify's flagship Discover Weekly playlist, but focused on specific genres, time periods, or musical preferences

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. This automatic refresh capability ensures the playlist remains relevant over time, continuously updating with tracks that match your prompt

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. Users can also create their own versions of Daily Mixes tailored to their specific requests

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. Each recommended song includes a description explaining why it was selected, providing transparency into the algorithm's decision-making process

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Broader Trend Toward User Control Over Algorithms

Spotify's move reflects a broader industry shift toward giving users more control over listening experience and content recommendations. Instagram recently introduced a similar feature allowing users to control what type of Reels they see, while Bluesky, a decentralized X competitor, lets users swap out its algorithm entirely

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. Spotify itself updated its AI DJ feature in May to accept voice prompts, showing a consistent pattern of enhancing user agency

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. The company frames this as "a new phase where listeners take the lead," suggesting more features that prioritize user direction may be coming

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What to Watch as the Beta Feature Evolves

As a beta feature, Prompted Playlists will evolve before expanding to other markets beyond New Zealand

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. Currently supporting only English-language prompts, the feature may add more language support when it exits beta

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. Users can access the feature from the Create tab on mobile, where they'll find preset prompt ideas to help them get started

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. The ability to edit prompts at any time by tapping "Edit prompt" at the top of the playlist means users can continually refine their music discovery approach

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. For music streaming services, this represents a potential shift from purely algorithmic curation toward hybrid models where human intent guides AI-powered music recommendations.

Source: PC Magazine

Source: PC Magazine

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