The Playlist Economy

This is the text used to record the episode. The two opening invitations are original illustrations, not quotations from Spotify.

Before you press play

Before you press play, a choice has already been made.

Imagine opening a music app after a long day. You could search for an artist, or let a mix choose for you.

Listen to these two invitations.

“Choose an artist.”

“Play a mix picked for you.”

Both lead to music. The second offers something else: relief from deciding.

Welcome to The Playlist Economy. Today I’m asking: when listening becomes easier, who gains the power to guide it?

Available is not the same as visible

On Spotify, playlists can be made by listeners, editors, or algorithms. Some combine human selection with personalised recommendations.

So there is no single person, or machine, choosing everything.

But consider the difference between a song being available and a song being placed in front of you. A track can sit in the catalogue without becoming part of your day.

A playlist helps bridge that gap. Its convenience also gives whoever organises it a role in directing our attention.

The power of arranging

Media scholar Robert Prey calls this curatorial power: influence exercised through the organisation of content. His analysis also places Spotify within relationships with music businesses, advertisers and investors.

That changes my question. Instead of only asking whether a playlist matches my mood, I can ask whose interests its organisation serves.

For a listener, a ready-made mix might save time. For a musician, being selected might offer a route to an audience. For the platform, an enjoyable session can help make the service worth returning to.

These interests can overlap. They do not always have to agree.

Discovery has a price

Spotify’s Discovery Mode makes the connection between recommendation and money more concrete.

Eligible artist teams can flag songs they want prioritised. Spotify adds that signal to recommendations in selected contexts, including Radio and Autoplay. It does not guarantee a recommendation.

Instead of an upfront fee, Spotify charges a commission on recording royalties from selected songs streamed in those contexts. Other streams of the same songs are not charged that commission.

My reading is that discovery becomes a commercial negotiation: how should an artist weigh a chance of greater visibility against the cost of promotion?

Attention and income

Being heard and being paid are also different things.

Spotify says it pays rights holders, who pay musicians according to their agreements. Payments use a share of streams, or streamshare, rather than a fixed price for every play.

So a stream count alone cannot tell us what an artist takes home.

For me, this is why playlists belong in a discussion of political economy. The way attention is organised matters alongside the arrangements through which money reaches the people making music.

Choosing to listen

I am not arguing that recommendations remove our freedom. A mix can introduce us to music we might otherwise miss. Listeners can still search, make playlists and share discoveries with friends.

I want to hold those possibilities together with the question of who gets noticed.

One small experiment is to alternate a recommended mix with an album chosen deliberately. Notice how each experience begins, and what invites you to continue. This would explore your listening habits, not prove how the algorithm works.

Next time a mix says it was made for you, ask one more question: what else was it made for?

The episode draws on Prey’s account of curatorial power and Spotify’s descriptions of its own playlist, promotion and payment mechanisms. The connection between these mechanisms and everyday listening is the episode’s interpretation. Platform documentation was checked on 7 October 2026. For undated platform pages, 2026 denotes the year consulted.

Prey, R. (2020). Locating power in platformization: Music streaming playlists and curatorial power. Social Media + Society, 6(2).
The theoretical lens of curatorial power; platform power is relational rather than absolute.

Spotify. (2026). Types of Spotify playlists.
Listener, editorial and personalised playlists, including combinations of human and algorithmic selection.

Spotify. (2026, March 12). Understanding recommendations on Spotify.
Commercial signals in recommendations; Discovery Mode does not guarantee recommendation.

Spotify. (2026). Discovery Mode contexts.
Radio and Autoplay as examples of the specific contexts covered by the programme.

Spotify. (2026). Using Discovery Mode in Spotify for Artists.
Eligibility and the commission on recording royalties in Discovery Mode contexts.

Spotify. (2026). Your questions, answered. Loud & Clear.
Rights holders, contractual payments and streamshare; no fixed price for each play.

The narration was recorded in six parts and assembled into one episode. Longer quiet gaps were shortened, levels were balanced, and light noise reduction and compression were applied. The speaking speed was preserved. Five original synthetic cues mark the two imagined choices, opening, case study and ending. These cues were made for this project and do not reproduce Spotify’s interface sounds. No third-party music recordings were used.