Strategy

Spotify’s agent strategy could turn AI into a growth channel

Spotify reached 788 million monthly active users and nearly €5 billion in quarterly revenue. Co-CEO Gustav Söderström wants AI agents to drive discovery without sending listener histories to partners.

By Nathan Brooks

4 min read

Updated

Spotify’s current AI bet is about being the music service that agents choose
Spotify’s current AI bet is about being the music service that agents choosedeepanker70 / pixabay

What's News

  • Spotify reported 788 million monthly active users in the third quarter.
  • Spotify's third-quarter revenue reached nearly €5 billion, around $5.6 billion.
  • Spotify was the first music service to integrate with Meta's Muse assistant.
  • Spotify also integrates with ChatGPT and Claude.
  • A Spotify listening-history example reaches back to 2008.

By Nathan Brooks

Spotify reported 788 million monthly active users and nearly €5 billion—around $5.6 billion—in revenue for a strong third quarter.

Co-CEO Gustav Söderström used the earnings call to place that scale behind a larger claim: Spotify's future may sit inside AI assistants, not only inside its app. His case rests on a distinction. Agents remove chores; entertainment remains something people choose.

“Spotify is in one of the few categories that actually stands to thrive in the agentic age,” Söderström tells investors. “This is because agents excel at replacing and taking care of things people would rather not do. People love getting rid of chores. But entertainment is the opposite. Nobody asks an agent to ‘summarize a song’ for them.”

That distinction supports Spotify's pitch. Under Söderström's scenario, listeners could ask an AI assistant for music for a run, a podcast about something they had discussed with the AI, or an audiobook recap that picks up exactly where they left off.

Spotify wants the assistant to use Spotify as its media service. Listeners would discover and interact with the catalog through conversation rather than only by opening the app, searching for an artist, and building a playlist themselves.

Spotify said it was the first music service to integrate with Meta's Muse assistant. The company also said its service integrates with ChatGPT and Claude.

“Our goal is to be the media service that you use from any agent, really turning the growth of agents into a tailwind rather than a headwind. That is exactly what we are seeing now.

We are seeing really good adoption of Spotify inside these agents. While other companies are maybe trying to figure out what to do and many are leaning out, we are actually leaning in and participating in the growth instead of standing by the roadside and looking at it,” said Söderström.

Spotify's account of agent friction cited Amazon's decision to block Meta's Muse from shopping on its platform. The episode shows how major services may restrict outside agents when access, security, privacy, or commercial control comes into question.

For Spotify, Söderström's strategy turns that friction into a distribution risk while treating agent integrations as a growth channel. The company hopes listeners will reach Spotify through an assistant even when they never open its interface.

What changes for Spotify and listeners?

Under Söderström's proposal, the change for listeners is the interface. A supported assistant could handle discovery and playlist construction while Spotify remains the service that receives the request and supplies the result.

Söderström described Spotify today as:

“an intelligent media service encapsulated as an agent, whether you use it directly through our application or via another agent…Spotify is now an agent that you can not only click on in our app, but talk to, ask questions of, and instruct. We can do things today that no other media services can do,” he said.

He then tied that description to a specific listener workflow. The example combines deep history with detailed editing controls.

“For example, you can ask Spotify to go through your listening history song by song back to 2008, picking your true favorites, beat-stretching them by speeding them up or down, and then sorting them by key and BPM. Then you can ask it to mix them together into the perfect running playlist at your exact cadence,” Söderström explained.

The running example reaches back to 2008. It can identify favorites, change track speed, sort songs by key and BPM, and mix the result to a runner's exact cadence.

Söderström said Spotify's years of listening history include returning artists, skipped songs, and newly discovered music. He argued those signals can make recommendations more personal than a generic playlist from an assistant with little knowledge of a listener's tastes.

He also set a firm boundary around data sharing. Spotify does not send listener data to partners, Söderström said. An agent asks Spotify for something, and Spotify's own systems reason over the request and choose what to play.

That design leaves recommendation decisions with Spotify. It also makes the depth and continuity of the service's user history central to the pitch, rather than leaving the external assistant in control.

Spotify's strategy now depends on whether the “really good adoption” Söderström cited inside agents becomes sustained listening. Amazon's block shows why Spotify cannot assume access to third-party assistants will remain open.

Original: s29.q4cdn.com

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Nathan Brooks

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News editor covering regulation, policy and their impact on entrepreneurship, startups and venture funding at Business Bearings.

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