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Home Service news

Spotify Tests More AI-Powered ‘Prompted Playlists’

Akinola Ajibola by Akinola Ajibola
December 11, 2025
in Service news
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On Wednesday, it was discovered that, Spotify revealed that users will now have more influence over the streaming service’s algorithm for the first time. At least that’s how the music streaming giant is presenting the introduction of its new “Promoted Playlists,” a feature that will first be accessible to New Zealand Premium users.

According to the company, Spotify, the feature is still in beta to its Premium subscribers in New Zealand and will develop before being released in other areas. It is presently only available in English. It will also be accessible through the mobile app’s Create tab.

Also according to the company, the new tool will let its customers specify what they wish to hear in a customised playlist that represents the “full arc” of their desired preferences. Also the company went on to say that, this sets the playlist apart from other playlists since it concentrates on your whole Spotify listening history, not just the songs you now enjoy.

The function, which also uses written suggestions, is an advancement over Spotify’s previous AI playlist option, which made its debut last year. The new Prompted Playlists let users choose what they wish to hear with textual instructions, just as AI playlists. They are now able to compose much lengthier prompts with more detailed directions, nevertheless. According to a Spotify representative who spoke with TechCrunch, the new AI feature takes world knowledge into account.

It also differs from Spotify’s other AI playlist options in that you can schedule how frequently the playlist refreshes and go farther back in your listening history.

For example, Spotify advises its users and customers to utilise the new feature to request “music from their top artists from the last five years” and then modify the prompt to include “deep cuts I haven’t heard yet.”

“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” or “music from this year’s biggest films and most-talked-about TV shows that match my taste” are also two more examples of longer prompts, according to Spotify.

Users may also specify how often they want the prompt to refresh, such as daily or weekly, and continue to refine it to make it even more precise. The concept is that users may basically create their own version of Spotify’s main playlist, Discover Weekly, by focussing on a certain genre, genre, or time period. Alternatively, users can create their own version of Spotify’s genre-focused Daily Mixes if they choose to.

The company further stated that, the playlist will provide context and descriptions so you may understand why you are receiving the recommendation. To assist users in getting started, it will also provide a series of instructions as advise to help them navigate through.

It’s not just Spotify that is promoting the idea that its algorithm is user-controlled. 

Today, Instagram also unveiled a new tool that allows users to choose the kinds of clips they see. A decentralised X rival called Bluesky also allows users to replace its algorithm with their own.

Spotify went on further to say that technology, in our opinion, is only as good as the people who use it. Nearly 9 billion playlists have been made by Spotify users, demonstrating that human curation is still the platform’s lifeblood. But until now, your best ideas might have remained in your mind unless you were a Spotify developer with the ability to create your own playlist algorithm.

These concepts are brought to life via Prompted Playlist, which uses just English. The trade-off between convenience and control no longer exists. At last, you receive both.

Additionally, this opens up new avenues for artists to expand their fan bases and present their music to the appropriate audiences through more intelligent and inspired discovery.

Before launching the function in more international regions, Spotify plans to iteratively adjust it depending on user engagement data.

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Akinola Ajibola

Akinola Ajibola

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