There is a distinct comfort in opening your streaming app of choice on a Monday morning, hitting play on a personalised mix, and immediately hearing exactly what you want. It feels like magic. The tempo matches your walking pace, the mood mirrors the grey weather outside, and every track slides into the next with seamless, oily perfection.
But have you ever stopped to wonder why that playlist feels so safe?
Over the last decade, we have quietly handed the keys to our cultural consumption over to mathematical equations. Human radio DJs, record shop clerks, and music journalists have been largely replaced by recommendation engines. And while Spotify’s Discover Weekly or Apple Music’s algorithmic radio are brilliant at finding music we like, they are fundamentally terrible at doing what great music used to do: challenging us.
By smoothing out all the rough edges to keep us streaming, algorithms might just be turning us into the most passive, boring music fans in history.
The rise of “Spotify core” and background wallpaper
To understand how the algorithm is changing our taste, you first have to understand what it wants from us. The primary goal of any streaming platform is retention. It wants you to stay on the app, keep the music playing, and—crucially—never hit the “skip” button.
To achieve this, the algorithm prioritises sonic consistency. It looks for music with steady tempos, predictable structures, and non-intrusive frequencies.
This has birthed an entire ecosystem of functional, mid-tempo music often referred to as “Spotify core.” Think of those endless playlists designed for studying, chilling, or working from home. It is music designed not to be listened to, but to exist as acoustic wallpaper. When the algorithm feeds us a steady diet of this auditory soup, our tolerance for anything jarring, avant-garde, or genuinely weird begins to shrink. We become conditioned to expect music to be comfortable, rather than thrilling.
The echo chamber of “more of the same”
The fundamental flaw of a recommendation algorithm is that it can only look backwards. It analyses what you listened to yesterday to predict what you will want to hear tomorrow.
If you spend a week listening to 1970s acoustic folk, the algorithm will dutifully serve you more 1970s acoustic folk. It won’t suddenly suggest a chaotic 1990s drum and bass track, or an aggressive post-punk anthem, because its programming tells it that doing so carries a high risk of a “skip”.
Historically, real musical discovery happened through friction and happy accidents. It was buying an album purely because you liked the artwork, or staying tuned to a late-night pirate radio show and hearing a genre you didn’t even know existed. It was often challenging, sometimes confusing, but ultimately mind-expanding.
The algorithm removes all friction. It builds a beautiful, hyper-personalised prison of your own past tastes, locking you inside an echo chamber where nothing genuinely surprising can ever break through.
The death of context
When you discover an artist through an algorithmic playlist, you rarely learn anything about them. You don’t know what city they are from, what political movement inspired their lyrics, or who their contemporaries are. They are simply a nameless, three-minute block of audio nestled between two other identical blocks of audio.
Without context, music loses its weight. It stops being a cultural artifact and becomes a utility—a soundtrack for your morning commute or your gym session. When we stop engaging with the stories behind the music, our connection to the art form becomes shallow. We stop being fans of artists and simply become consumers of content.
Breaking out of the digital matrix
It is impossible to deny the convenience of algorithmic curation. It has made millions of songs accessible in a way that previous generations could only dream of. But convenience shouldn’t come at the cost of curiosity.
If we want to keep our relationship with music alive and unpredictable, we have to actively push back against the machine. We need to seek out human tastemakers—whether that means tuning into independent radio stations like NTS or BBC 6 Music, reading music blogs, or physically walking into a local record shop and asking the person behind the counter what they are listening to.
The algorithm is a brilliant servant, but a terrible master. It is time to turn off the autopilot, embrace a bit of sonic friction, and remember what it feels like to fall in love with a song that completely catches you off guard.
