Data is beginning to violently plunder human auditory perception.

Author and source: 0x9999in1, ME News

TL;DR

• A cybernetic spectacle of uncontrolled capacity: Music streaming platform Deezer faces nearly 75,000 AI-generated songs daily, accounting for 44% of total uploads—AI is diluting the human music pool through massive, imperceptible production.
• Defense and differentiation in streaming: Platforms refuse to sit idle. Deezer uses algorithmic downranking to limit AI-generated plays to 1%-3%; Apple Music and Qobuz enforce mandatory labeling; Bandcamp implements a complete ban.
• Capital frenzy and artistic disaster: Tools like Suno and Udio have achieved rapid growth due to their low barriers to entry; Suno generated $300 million in ARR (annual recurring revenue) and 2 million paying users by 2026, sparking panic and costly lawsuits in the traditional music industry.
• User-level "psychological backlash": "AI Slop" has become the word of the year. Audiences instinctively feel physiological revulsion and a sense of superiority toward AI music, stemming from its "emotional fraud" due to a lack of lived experience and its destruction of the scarcity of human art.
• Endgame scenario: The essence of music is human resonance. AI-generated music is destined to become cheap, functional background noise, while authentic creations with "human imperfections" will experience a retaliatory surge in value.

Introduction: The Midnight Ghost and 75,000 Fake Songs

Imagine a scenario.

A singer without a heartbeat. A band that never needs sleep. Code that has never experienced heartbreak, poverty, struggle, or euphoria. Every day, they launch their assault on streaming platforms on schedule.

What is the number? 75,000.

This is not science fiction. This is the cyber wasteland that French streaming giant Deezer faces every day: 75,000 AI-generated songs flooding onto its servers, accounting for 44% of daily total uploads.

What concept? Mozart spent his entire life and left behind just over 600 works. The Beatles were active for ten years and recorded more than 200 songs. Now, algorithms can generate the equivalent of centuries of human musical output in the time it takes to have a meal.

Is this a flourishing of creativity? No. This is data violently assaulting human hearing.

The wind has risen. Capital laughs, platforms weep, record labels draw their swords, but listeners quietly cover their ears. Why? Because it’s too loud. Seventy-five thousand songs every day—all fake.

Act One: From "Technological Equality" to "Auditory Industrial Wastewater"

The story begins with Suno and Udio, two Silicon Valley unicorns.

At one time, they claimed to champion "technological equality," saying they would allow ordinary people without musical training to experience the joy of creation. It sounds touching, doesn't it?

But capital’s ledger never cares about sentiment. According to the latest industry data, Suno, founded just two years ago, surpassed 2 million paying subscribers by early 2026, with its annual recurring revenue (ARR) surging to an astonishing $300 million and its valuation briefly nearing $2.5 billion. Over 100 million people have used this tool.

The barrier has disappeared. But so has the disaster.

When the cost of writing a song shifts from months of refinement and late nights in the studio to simply typing a few prompts and waiting ten seconds, what’s the result? It’s a flood of low-quality content. It’s bad driving out good.

On the English internet, an extremely precise term has emerged: “AI Slop”—AI sludge, or AI industrial wastewater. These tracks feature flawless audio quality, structured compositions, and impeccable chord progressions, yet they are hollow, monotonous, and utterly identical. Malicious actors deliberately produce them, attach fake artist names, and even disguise them as “posthumous works” of deceased singers, flooding streaming platforms in a desperate bid to harvest tiny royalty payments from the vast ocean of traffic.

Is this art? No, this is financial fraud. It’s an outright robbery of streaming royalty pools.

How do music platforms handle 75,000 songs per day like “industrial wastewater”?

Lying flat? Absolutely not.

The core asset of a streaming platform is user engagement time. If users open the app every day and hear nothing but monotonous AI-generated electronic sounds, they will unhesitatingly uninstall it.

Thus, a silent crackdown on AI-generated music began at the code level.

Deezer’s “invisible demotion” strategy is a textbook-level counterattack. 44% of uploads are AI? No problem. Deezer’s algorithmic defenses directly remove these “fraudulent” uploads from recommendation lists. What’s the result? Despite AI songs piling up in the library, their actual play counts are tightly suppressed to around 1% to 3% of total plays. You want to upload? Fine. But you won’t be heard, and you won’t earn a single cent in royalties.

Spotify's move is "cleaning house." Facing a flood of AI-generated fake songs that confuse and even impersonate real artists, Spotify is introducing new rules. They understand that low-quality AI songs clogging up "Discover Weekly" are eroding user trust. Through removals, account suspensions, and algorithm recalibration, Spotify is walking a tightrope, trying to identify human signatures amid massive amounts of data.

Apple Music and Qobuz have brought out the "magic mirror." They may not delete everything, but they require content to be "labeled." Apple Music asks artists and labels to accurately disclose the extent of AI-generated content; Qobuz, a French platform long known for its high-fidelity sound quality, has directly launched an automated detection system. Labeling AI-generated music is like putting electronic shackles on it—“Listeners, take note: this was created by a machine, it’s up to you to decide.”

Bandcamp's approach was the most severe and decisive. As a spiritual utopia for independent musicians, Bandcamp issued an outright ban on AI-generated music in early 2026—no exceptions. Why? Because Bandcamp’s very foundation is human connection. They would rather sacrifice so-called traffic than defend the purity of human creativity.

Act Three: Why Do Humans Disdain "AI Sludge"?

At this point, someone might ask: If a song is catchy enough, does it really matter who wrote it?

Important. Extremely important.

This raises the most fundamental question of this digital frenzy: why do users exhibit such strong resistance, disdain, or even physiological aversion to AI-generated content?

Let's first analyze the underlying logic of this psychology.

1. The feeling of floating without flesh-and-blood anchors

Music has never been merely a combination of frequencies. Music is a slice of the creator’s life experience.

When we hear Kurt Cobain screaming through his guitar, we hear his broken soul; when we listen to Adele sing about heartbreak, we feel her real tears.

AI has never shed a tear. AI has never been beaten down by life.

When listeners realize that a heart-wrenching melody is merely the optimal solution computed by a graphics card in seconds using a probabilistic model, it feels like: you thought you found a soulmate, only to discover they’re just a customer service bot.

This kind of "emotional fraud" instantly triggers human defense mechanisms. It’s not technology we disdain—it’s the cheap feeling that someone believes they can simulate human suffering with algorithms.

2. The erasure of "effort" and "scarcity"

Deep within human nature, we revere skills that require tremendous effort to master.

Calluses on a guitarist’s fingers, a singer’s years of disciplined training to master throat singing—these are all “scarce assets.” But the essence of AI music is to eliminate all such barriers.

When "creation" becomes as simple as pressing a shutter, it loses the wonder of being art. People will naturally construct a hierarchy of disdain in their minds: handcrafted bespoke > mass-produced industrial goods > AI-generated digital trash.

This also explains why “AI Slop” has become the most insulting term today. No one wants to search for pearls in mud.

3. The rebellious mindset caused by algorithmic feeding

Audiences in the digital age are already extremely exhausted. We are controlled by short-video algorithms with our eyes and by information-stream algorithms with our minds. Now, AI is coming to control our ears.

When users discover that AI-generated counterfeit products have been mixed into their playlists, their reaction isn't "Wow, AI is amazing," but rather, "Does the platform think I'm a fool?"

It’s like going to a Michelin-starred restaurant and the chef serves you a plate of lab-grown meat printed by a 3D printer—even if it tastes identical, you’d still flip the table.

Act Four: Who is lying? Who is profiting?

This is in fact a Rashomon-like scenario of多方博弈.

In this game, AI companies are the biggest winners. They harvest human music data from across the web for free (and possibly illegally), use it to train large models, and then sell access to millions of users for just $10 per month. They claim to be “empowering creators,” but in reality, they are destroying creators’ livelihoods.

What about the major record labels? The three major record companies—Universal, Sony, and Warner—are simultaneously filing multi-million-dollar copyright lawsuits against Suno and Udio in court, while privately seeking settlements and licensing deals. The logic of capital is always the same: if you can’t beat them, buy them; if you can’t buy them, take a share.

Those truly affected are the mid-tier and bottom-tier musicians.

When tens of thousands—even up to a hundred thousand—cost-free AI-generated songs flood the market each day, the pool of attention is severely diluted. Human musicians need to spend money on food, rent, and equipment, while AI does not. Amid this absolute numerical overload, human talent is being overshadowed by algorithmic saturation.

If platforms like Deezer didn’t artificially cap AI-generated songs at 1% of plays through algorithmic intervention, human musicians wouldn’t even have a sip left of the broth.

Epilogue: When the tide goes out, only plastic remains

The situation is already clear.

AI music won't disappear; it will rapidly occupy its rightful place: background music in malls, soundtracks for low-budget short videos, lullabies in elevators, and transitional audio in games. It will become a purely functional commodity—a sonic filler.

But it can never become a true cultural totem.

Just as the invention of plastic flowers did not diminish the value of real flowers; on the contrary, when cheap, everlasting plastic flowers became ubiquitous, a single real rose, damp with morning dew, destined to wither and imperfect, became infinitely more precious.

The platform's resistance and the implementation of rules are merely the opening act of this long war. What truly determines the fate of digital music is not Suno's code or Deezer's algorithm, but every human wearing headphones.

At the moment we press play, what are we truly seeking—the vibration of vocal cords, or the resonance of two hearts transcending time and space?

The answer has long been within you and me.

Those 75,000 digital ghosts pouring in each day will ultimately only play their soulless noise over and over on neglected servers. Watching this, I can’t help but smile. No matter how powerful the computing power, it can never calculate human tears; no matter how sophisticated the algorithm, it can never calculate human passion. Let machines write songs for machines—human joy, sorrow, anger, and happiness must still be sung by humans themselves.

Reference:

1. Wikipedia. (2026). "AI slop". Retrieved April 21, 2026, from https://en.wikipedia.org/wiki/AI_slop
2. Good, E. (2026, February 5). "Streaming Services Respond to Backlash and Boycotts". Threefold Advocate.
3. Music Business Worldwide. (2026, February 26). "Suno: We've hit 2M paid subscribers and $300M annual revenue".
4. Truthbit.ai. (2025, October 30). "How Suno Hit $45M Revenue While Facing $99.3M in Lawsuits". Medium.
5. Talent500. (2025, July 29). "Spotify AI Songs Ignite Outcry Over Use of Deceased Artists".