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275 pages, Paperback
First published January 7, 2025
Zero, dot, zero, zero, three
Give me two years, and your dinner will be free
Gas station champagne is on me
[Music] cannot pay rent for me
The reality of this power imbalance was ultimately why another musician, who made ambient tracks for a different, non-Epidemic PFC licensor, ended up ceasing his relationship with the company. “There was a fee paid up front,” he explained to me. “It was like, We’ll give you a couple hundred bucks. You don’t own the master. We’ll give you a percentage of publishing. And it was basically pitched to me that I could do as many of these tracks as I wanted.” In the end, he made only a small handful of tracks for the company, released under different aliases, and made a couple thousand dollars. It seemed pretty good at first, since each track only took a few hours. Eventually, though, as a couple of the tracks took off on Spotify, with one getting millions upon millions of streams, he started to see how unfair the deal was long-term; the tracks were generating far more revenue for Spotify and the ghost label than he would ever see, since he owned no part of the master and none of the publishing rights. “I’m selling my intellectual property for essentially peanuts,” he said.
(One former employee recalled a specific all- hands meeting that reflected on and celebrated the success of these sleep playlists. “They were very proud of this,” the former employee recalled. “It proved to them that they’re not a music company. They’re a time filler for boredom.” “There was a moment where it all started to feel Orwellian,”)
"I honestly think that the core of the company's success was recognising that they're not selling music. They're not providing music. They're filling people's time. And [Daniel Ek] said at a company meeting, I remember he was like, 'Apple Music, Amazon, these aren't our competitors. Our only competitor is silence.'"
The ex-employee stared off and nodded. "I definitely think people are afraid of silence," he told me. "And Spotify has capitalised on that pretty well."
"Data is described as this pure source that is untainted by culture or opinion or location or anything like that," [musician Taja Cheek] continued. "It's just not true. Algorithms are made by people and people have biases. There is nothing pure about data at all. It's just a way of describing something from a particular viewpoint."
As I've spoken to artists and independent labels over the years, many have agreed that there is something profoundly off about the way that Spotify maps, charts, and packages music, and in turn, creates meaning in music. Perusing Spotify's playlists over the past decade, it has at times felt like a bizarre parallel world has taken root, beyond just the ghost artists and streambait.
When the recommendation systems are optimising for extended listening sessions, when they are filled with made-up genres, when music that sounds like other music is what's most data-blessed, the reality of what we're hearing on the playlists and AI DJ streams isn't music culture, it's Spotify culture. [...] It's music culture writ large recast as fodder to fuel streaming-friendly one-click buttons for different moods and lifestyles, a whole environment that meets music in the context of only data; captured, commodified, and managed.
I find issues of privacy and surveillance to be deeply important, but I also suspect that Spotify seriously inflates its own capabilities. Was criticising their invasive, surveillance-driven advertising practices actually contributing to the hype? It seemed like a lose-lose situation. If the company is capable of all the hyper-invasive practices it boasts about, that is obviously harmful. But it if sells advertisers on targeting it is not actually capable of, that also seems harmful, because it contributes to the normalisation of surveillance and deception. How do you simultaneously say its recommendations are bad and the surveillance is too invasive?
Actually, the question itself gets to the core of the issue. The very fact that we don't know proves that these companies have violated our privacy. "There is a problem of asymmetry," [data protection lawyer Stefano] Rosetti told me. "Because they know a lot, and you don't know what they know, and you don't know what they're doing with what they know."
Spotify has long referred to itself as a 'two-sided marketplace', where on one side it sells a product to listeners, and on the other side it sells a product to musicians and podcasters. This conveniently overlooks its business selling advertisements and user data, which arguably comprises a third 'side' to the marketplace, commodifying attention harvested through the other two 'sides'. [...]
What Spotify doesn't actively emphasise to artists is that in the process of guiding them through their 'audience segments, it also logs their own behaviour on the Spotify for Artists app, from which it in turn creates its own 'segments' of artists, too, tracking patterns so it can figure out how to best sell Spotify ad space to them.
Like the burgeoning music labour movement, collectives and co-ops help contribute to a music world in which there's more solidarity, a necessary ingredient to finding more sustainable ways forward. The problems with music streaming are problems more broadly of culture under capitalism - where decontextualisation and historical amnesia make it so people do not look backward, forward, and around, but just flounder in their atomisation. Collectives and co-operatives work to counter exactly that by creating the conditions for people to be in more direct collaboration with one another. It is hard work - the polar opposite of the frictionlessness that platform optimised tech culture imposes. But friction is part of how real connections, and ultimately change, happen.
"...The next year came its big move into curation, hiring a staff of full-time editors to compile playlists themed to moods and activities, followed by its 2014 investment in algorithmic personalization tech. All of this so-called innovation was going to “level the playing field” for artists, Spotify obsessively promised."
"...What we actually got, though, were playlists heavily dominated by major label acts, endless feeds of neo-Muzak loaded with ghost artists—anonymous, stock music commissioned at a discount—and a series of pay-to-play schemes.
Those include the controversial Discovery Mode program, which sells (mostly independent) artists and labels algorithmic promotion in exchange for reduced royalty rates, and frames it as an “opportunity.” This cost-saving initiative is a move popularly regarded as a new type of payola, the term that emerged in the 1950s to describe the process of record labels making under-the-table cash payments to radio stations in exchange for airplay. For artists trying to figure out how to survive these shifts, there have for many years been more questions than answers."
"As of this writing, streaming accounts for 84 percent of recorded music revenues, with Spotify, the largest of all services, capturing 30 percent of the market, with over 615 million users and 239 million paying subscribers. And as the public discourse on the relationship between AI and creative labor has taken hold, the whole streaming conversation now takes place under this looming cloud: how tracks created with generative AI software are flooding the streaming services and the effects this will have on working musicians and aspiring artists alike. And while the potential of generative AI feels urgent, it’s also important to remember the less flashy ways that artists and listeners have been impacted by different systems of automation and machine learning over the past decade-plus, as artists’ careers have become increasingly managed by algorithms, and listening has become more and more mechanized. At a moment when the very future of music can feel at stake, the time feels right to take a serious look both backward and forward."