Let’s face it. Spotify has a playlist for almost everything. Whatever you are doing right now, there is a playlist engineered to soundtrack it without ever once demanding your attention. For example, Deep Focus, Lo-Fi Beats, Peaceful Piano Music and so much more at the level of its commissioning. The music contained in these type of playlists are generally unnoticeable by design and meant for passive listening. It is nothing but music that has one job. It is meant to not be actively listened to. In 2002, progressive rock band, Porcupine Tree, predicted this exact outcome and named it. Almost nobody listened, which is, when you think about it, the most on-brand possible response.

Porcupine Tree released The Sound of Muzak in 2002 on In Absentia. Steven Wilson wrote it. The song is a prophecy about the industrialisation of music into product, a future in which songs are manufactured to fill space rather than to say anything, and the people making them have stopped being able to tell the difference. Wilson called it a decade before Spotify’s algorithm made it the organising principle of the entire industry. He was right. Being right, in the music business, is worth approximately nothing.

What Porcupine Tree’s Sound of Muzak Predicted

The Sound of Muzak describes music reduced to a commodity, stripped of soul, engineered for consumption without engagement. Wilson wrote it as a warning. He was watching the early digital compression of music into MP3s and the early signs that the industry valued volume over substance. He extrapolated. He imagined a future where music became sonic wallpaper, and where the machinery producing it optimised for inoffensiveness because inoffensiveness scales and art does not.

In 2026, that future has a market capitalisation. Spotify’s recommendation algorithm rewards tracks that retain listeners, and the most reliable way to retain a listener is to never disrupt them. A song with a jarring transition gets skipped. A song with a challenging structure gets skipped. A song that demands attention loses to a song that permits its own ignoring. The algorithm did not set out to destroy ambitious music. It just set out to reduce skips, and reducing skips means promoting music that asks nothing of anyone. The outcome is identical. So the real question to ponder about is: Who decides what sounds like music when the gatekeeper optimises for the absence of attention?

The Ghost Artists

Here is where the prophecy turned literal. Investigative reporting, most notably a 2025 book by journalist Liz Pelly, documented Spotify’s use of what the industry calls ghost artists: musicians producing library music under fake names to fill the platform’s most popular ambient playlists, often at lower royalty rates. The Deep Focus playlist you use to concentrate may be substantially populated by nameless work-for-hire tracks engineered specifically to be forgettable, placed there because forgettable is cheaper than memorable and performs exactly as well against the only metric that matters, which is whether you keep it playing.

The music is designed to not be noticed, produced by people you will never know, promoted by a system that prefers it precisely because it is unremarkable. Wilson wrote the specification in 2002. Spotify built the factory in the 2020s. The ghost artists are the workforce. Somewhere right now, a session musician in a home studio is recording their fourteenth interchangeable piano piece of the week under a name that is not theirs, for a playlist with four million saves, and nobody will ever know they made it. That was the prophecy. It came true down to the credits, or rather the absence of them.

The Mahogany Paradox

There is a specific test buried in all of this, and it is worth naming. Call it the Mahogany Paradox, which is the use of a deterministic digital engine to simulate the imperfections of live human performance, testing whether the gatekeepers can still tell the difference. The name comes from the way a manufactured product can be finished to look exactly like solid wood, right down to the imperfections that signal authenticity, until the distinction between the real grain and the printed grain requires an expert, and eventually requires no one, because no one is checking anymore.

In music, the Mahogany Paradox is the moment when a fully synthetic, algorithmically generated track is placed beside a track played by a human being who spent fifteen years learning their instrument, and the platform cannot tell them apart, and the listener cannot tell them apart, and crucially the platform has no financial incentive to be able to tell them apart. The 2026 arrival of competent generative music tools did not create this problem. Wilson diagnosed it in 2002. The tools just removed the last practical reason for anyone to care. If the gatekeeper cannot hear the difference, does the difference still exist?

What Survives

The Sound of Muzak ends without comfort. Wilson does not offer an escape route. The song simply states the diagnosis and lets it sit, which is the honest thing to do, because there is no algorithmic fix for a problem the algorithm was built to cause. The music that asks something of you will always lose the retention metric to the music that asks nothing. That is not a bug to be patched. It is the design working as intended.

What survives, if anything survives, is the listener who decides to be a bad data point. The person who seeks out the difficult record, who plays the album that demands attention, who refuses the sonic wallpaper and chooses the thing that might disrupt them. That person is worth more to music than the entire recommendation engine, because that person is the only remaining reason for anyone to make music that means something. The algorithm cannot save ambitious music. Only the listener can, one deliberate choice at a time. Are you listening, or is something just playing?

Sources For Further Reading

• The Sound of Muzak Wikipedia: https://en.wikipedia.org/wiki/In_Absentia
• Steven Wilson Porcupine Tree Official: https://porcupinetree.com/
• Liz Pelly Mood Machine Ghost Artists: https://www.simonandschuster.com/books/Mood-Machine/Liz-Pelly/9781668083505
• Harper’s Spotify Ghost Artists Investigation: https://harpers.org/
• Spotify Algorithm Analysis Music Industry: https://www.musicbusinessworldwide.com/
• In Absentia Album Wikipedia: https://en.wikipedia.org/wiki/In_Absentia

Find out How Pink Floyd’s Comfortably Numb Explains Why the Corporate World Diagnoses Your Brilliance as a Defect