Spotify CEO Daniel Ek stated in an interview, “Apple Music, Amazon — these aren’t our competitors. Our only competitor is silence.”
If you somehow avoided the flood of Spotify Wrapped posts before the start of 2026, congratulations.
Spotify offers users far less autonomy than most people realize. It operates as a tightly controlled system of production, distribution and extraction. In a traditional supply chain, producers create goods, intermediaries distribute them and consumers purchase them. Digital platforms complicate this model.
Here, listeners on the app are folded back into the system of production, where we, as the customer, both deliver and consume the product, because the listener becomes the source of value. Spotify is constantly collecting data on our listening habits and preferences, commodifying our attention. This is similar to Instagram’s model for utilizing our attention for marketing and pushing products to users. Artists and albums function as raw inventory, which the platform organizes, curates and distributes through an algorithm shaped by our behavior.
Every time you open Spotify, you’re doing two things at once for the platform. You’re consuming music, but you’re also producing data. When you skip a song after 10 seconds, replay a song, playlist or album multiple times, or let background music run while you study, you’re signaling what holds your attention and what doesn’t. Spotify captures those signals and turns them into something of value to make a profit. The algorithm manipulates this data to predict what you’ll listen to next and keep you on the app for long periods.
On the demand side, this means your behavior is constantly shaping what gets supplied to you. If you linger on slower songs, you’ll get more of them. If you skip experimental tracks, you’ll see fewer. Your preferences reflect demand while actively creating it. The algorithm is essentially a mirror that learns from you and then feeds a refined version of your own taste back to you.
This is where the loop forms. Your listening creates data, that data trains the algorithm, and the algorithm decides what you hear next. The more you engage, the better the system gets at keeping your attention and recycling it.
That’s why we, as users of the app, are both the product and the demand for the product at the same time. We are the product because Spotify ultimately extracts value from our attention and behavior. But we are also the source of demand because our actions tell the platform what should exist more prominently within it.
It feels a little dirty, and it is.
Songs that hold attention longer are rewarded with visibility, while those that don’t are deprioritized. This is why playlists that are multiple hours long may feel repetitive because the algorithm is pushing songs from the track you’re less likely to skip to the top of your personalized listening cycle. This creates a system where artistic success is increasingly tied to algorithmic performance rather than cultural or creative impact. Artists are incentivized to make music that minimizes skips and maximizes engagement in the first minute or less of a song, because that’s what the system rewards.
In this structure, the listener is dually a participant in a data economy, producing behavioral signals that the platform captures and returns to us.
Spotify operates less like a marketplace for music and more like a broker of attention. The real commodity is the user’s time and focus. Without relying heavily on traditional advertising, the platform extracts value by maximizing engagement. Sustained attention feeds the algorithm, strengthens predictive models and reinforces the system’s ability to keep users locked into its ecosystem.
Being informed about how major companies have access to our personal tastes and preferences, and can mine data from our music profiles to capture our attention, is important to understand. Please read the terms and conditions of major media platforms before agreeing to share your personal information with major corporations like Spotify.