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The problem with AI playlists on Spotify

Spotify algorithms are alienating us from each other and casting shadows over smaller artists by playing the same music over and over again. Is there a way we can rediscover the joy of sharing through streaming and continue to expand our tastes and experiences through sound?

Whether you’re passionate about podcasts or crazy about carefully curated playlists, chances are you’re no stranger to Spotify, the world’s most popular audio streaming subscription service.

The 21st century equivalent to a 1980s mixtape, this platform is used by millions every day to stay up to date with their favourite artists, discover and share new music, and create the perfect soundscape for their ‘vibe.’

Maybe over the summer you were bopping along to Bossa nova with an Aperol spritz playlist.

Or now that winter nights are drawing in, perhaps you’re on the pumpkin spice train.

I, for one, am already cosying up to Christmas jazz because once it starts getting dark by 6pm there’s no retrieving me from hibernation.

However, with the exception of Bliss Blundgren’s excellent Positano themed playlist, it’s becoming increasingly difficult to find playlists made by actual Spotify users, intensified by the relatively recent disappearance – or at least obfuscation – of the ‘discover’ tab.

A quick scroll through my Spotify homepage is proof of this, all ‘next up’ episodes from podcast series I’m already tuned into, multiple daily mixes ‘made for [insert username],’ and, of course, my ‘top’ mixes.

‘Isn’t that super convenient?’ I hear you ask. To an extent, yes, it is. If I happen to be in a country mood, for example, it’s great to have Post Malone, Katie Rigby, and Taylor Swift in one place.

The problem is that because these playlists are generated by Artificial Intelligence rather than people, they lack the certain personality that made mixtapes not only so iconic but, on occasion, romantic.

While cassettes took up a lot of space, were essentially un-editable, and complicated to make, they showed effort. These days you can whip up a Spotify playlist in a matter of minutes.

Gone is the personality behind playlists (whether romantic, platonic, or self-serving) and what’s left are futile attempts to say ‘I love you’ with a hyperlink or form connections that are impeded by dodgy WiFi.

Arguably, this is alienating us from each other, ensconcing us firmly within a world of online algorithms that offer us what we’re used to seeing and hearing and making it impossible for people to compete with devices that seem to know us better than we know ourselves.

@brahamtech how to create a spotify playlist #brahamtech #spotify #spotifyplaylist #techtips #technology #androidtips #iphonetips #foryoupage #foryou #fyp ♬ original sound – BrahamTech

Do you ever find that you’re being played the same songs over and over or have had popular songs that don’t align with your tastes, the playlist you’re listening to, or the artists you like come on shuffle?

That’s because the algorithm sees your engagement with music as a pattern of data alone.

Speaking technically (I’d like to preface this next part by saying that I’m absolutely not a woman in STEM), this repeated music carousel is directly related to Spotify’s desire to cut costs.

By caching the songs you have on your device, the streaming service spends less because only one copy of the file is sent to the server.

Unfortunately, as you will have noticed, this hasn’t meant that the monthly subscription fee has gone down at all. In fact, it’s been steadily increasing since the platform was first launched in 2008.

Now, though there’s nothing wrong with listening to your favourite artists over and over again or finding comfort in familiar playlists or mixes, this is also having a negative impact on our exposure to other music and cultures.

‘But what about Release Radar?’ you pipe up once more. ‘Or artist recommendations?’ And again, you make a good point.

But go on, look at your AI generated playlists. If they’re anything like mine, you’ll see that unless you already listen to them, recommendations are very rarely for ‘smaller’ artists.

This is also an obvious issue. Particularly because, with 70 per cent of its revenue going to its rights-holders, Spotify has been criticised in the past for underpaying its artists.

And, adding insult to injury, as of April this year, artists who receive fewer than 1,000 streams annually aren’t paid for songs which fall below this amount of streams.

So, in order to stay connected to each other and give smaller artists a fighting chance, we all ought to make more of an effort to share music and support musicians who’ve not yet been thrust into the AI algorithms.

With that in mind, here’s a bunch of small(er) artists who you might just love.

  1. MUCK.
  2. Katie Rigby
  3. Cora Manchester
  4. The New Conglomerate
  5. CHROMA
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