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Spotify Enhances AI DJ with Voice-Controlled Music Requests and Mood Changes

Spotify is upgrading its AI DJ feature to allow premium users to interact via voice commands, enabling requests for specific songs, genres, or mood changes. Previously limited to passive listening, this update makes the AI DJ more dynamic and personalized. The feature is available in English across over 60 markets, enhancing user engagement with AI-driven music streaming.

Published May 13, 2025 at 10:05 AM EDT in Artificial Intelligence (AI)

Spotify is enhancing its AI DJ feature to offer a more interactive and personalized music experience for its premium subscribers. Previously, users could only listen to the AI DJ play songs with occasional commentary. Now, Spotify is introducing voice command capabilities that allow users to request specific music, change the mood of playlists, or switch genres.

This interactive update is currently supported only in English and is being rolled out to premium users in over 60 markets worldwide. Users can access the AI DJ by searching for it in the Spotify search bar and holding the DJ button located at the bottom right of the app to issue voice commands.

If users prefer not to make a specific request, they can simply press the DJ button to quickly change the feel or mood of the playlist. This feature builds on Spotify’s initial AI DJ launch in February 2023 in the U.S. and Canada, which was expanded globally in August 2023. Spotify also introduced a Spanish-speaking AI DJ last year, reflecting its commitment to multilingual AI experiences.

This advancement highlights the growing trend of integrating AI-powered voice interactivity in music streaming, enhancing user engagement by allowing more natural and intuitive control over content. Spotify’s AI DJ exemplifies how AI can personalize entertainment, making the listening experience more dynamic and responsive to individual preferences.

For developers and businesses, this update underscores the potential of AI-driven voice interfaces to transform user interaction models. By leveraging natural language processing and machine learning, platforms can offer seamless, personalized experiences that increase user satisfaction and retention.

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