Spotify launches AI chatbot for Premium users to explore music via conversation

Spotify is experimenting with a conversational AI chatbot called "Talk to Spotify" that lets Premium subscribers discover and control music, audiobooks, and podcasts through text or voice input. The feature is accessible in the Home and Now Playing views on Spotify's mobile app via a text box (or microphone symbol for voice commands) familiar to users of other AI services.

What sets Spotify's chatbot apart is its integration with your personal account data. Rather than offering generic recommendations or trivia, it references your playlists, favorite artists, repeat listens, and complete listening history when responding to requests. This capability transforms the chatbot from a general-purpose tool into a personalized listening assistant. Users can ask when they first heard a particular song, discover what genres they've been listening to recently (without waiting for Spotify's annual Wrapped feature), and request specific adjustments to playback—for instance, asking the chatbot to "play some songs I haven't heard before" and then refining the selection with further instructions like "add more upbeat tracks" or "include only this artist."

The feature goes beyond Spotify's older automated tools. The Prompted Playlist feature, for comparison, generates playlists from text descriptions alone. The new chatbot supports true conversation: you can ask follow-up questions, request in-the-moment adjustments, and even pose general queries about the content you're listening to—such as when a song was released, what other titles an audiobook author has written, or which podcasts a guest has appeared on. In this sense, the experience mirrors mainstream chatbot services like Google's Gemini or OpenAI's ChatGPT, except grounded in your listening data.

Spotify frames the feature as part of a broader effort to make the platform "more personal and useful for every listener," explicitly addressing long-standing complaints about its recommendation algorithm. The beta rollout is limited: it is available only to Premium users aged 18 and older in the US, Ireland, and Sweden, on both iOS and Android in English. Spotify acknowledges the feature is still evolving, cautioning that "responses won't always be perfect" as the company refines the experience. Amazon Music introduced a comparable feature last year when it integrated Alexa Plus, but Spotify's approach of leveraging personal listening history directly distinguishes it from Amazon's offering.

Spotify's chatbot represents a shift in how the platform is tackling a persistent user complaint about its recommendation algorithm. For years, listeners have expressed frustration with Spotify's suggestion engine, and the company has tried various approaches—from the automated Prompted Playlist feature to annual Wrapped reports—to address these concerns. The new conversational AI builds on these efforts by making personal data (playlists, favorite artists, listening history) directly accessible through natural language rather than buried in algorithmic outputs or annual summaries.

The feature also reflects a broader industry move toward AI-driven chat interfaces as discovery tools. Amazon Music's launch of Alexa Plus last year set a precedent, but Spotify's implementation is more granular: it doesn't just recommend based on general categories or user input, but actively interrogates your own listening record to answer specific questions—"when did I first hear this song?" or "what genres have I been into lately?" This personalizes the AI experience in a way that generic chatbots like ChatGPT or Gemini cannot match, because it anchors responses in verified user behavior rather than inference alone.

The beta rollout to only the US, Ireland, and Sweden, and the caveat that "responses won't always be perfect," suggests Spotify is being cautious with what the company calls a "work in progress." This measured approach may reflect challenges in grounding large language models in structured user data accurately, or simply the need to test reliability before wider release.