AI music started as a weird little experiment on the edges of pop. Now it’s becoming a full-blown streaming problem.
The Verge reports that generative AI music has gone from niche experimentation to mass production, especially since tools like Suno and Udio made it easy for almost anyone to generate full songs from a text prompt. That shift has led to a surge of machine-made tracks landing on streaming platforms at enormous scale.
The Flood Is Already Here
The numbers coming out of streaming platforms are hard to ignore. The Verge says Deezer reported in September 2025 that 28 percent of uploaded music was fully AI-generated, and by the end of that year the platform was seeing more than 50,000 AI tracks uploaded per day, accounting for 34 percent of uploads. It says the situation has now worsened again, with Deezer receiving 75,000 AI-generated uploads daily.
Spotify’s own cleanup numbers also suggest the scale of the problem is huge. The Verge reports that Spotify removed more than 75 million spam tracks in a 12-month period, while the broader industry is now scrambling to work out how to identify, label and contain low-quality AI music before it overwhelms discovery systems.
Streaming Platforms Are Reacting, But Carefully
What’s striking is that major platforms still aren’t banning AI music outright. Instead, they’re trying to manage it.
According to The Verge, Deezer has implemented a detection and labeling system for AI-generated content, prevents its recommendation algorithm from pushing that material, and has demonetized 85 percent of the streams. Qobuz has also rolled out AI detection and published an AI charter that says its editorial and curation work will remain human-led. Apple Music now requires labels and creators to add “Transparency Tags” to metadata, but The Verge says that system relies on self-reporting. Spotify has launched “AI credits” to label tracks made with generative AI and is working with the standards group DDEX on a broader industry standard. Google also requires AI-generated content to be labeled on YouTube and YouTube Music, with penalties for failing to disclose it.
That response tells you a lot about where the industry is right now. Platforms don’t want to ban AI music completely, but they also don’t want to embrace it without guardrails.
The Bigger Problem Isn’t Just Copyright
Copyright is still a huge part of the AI music fight, but this Verge piece focuses on something broader: what happens when streaming services are flooded with music that listeners didn’t ask for and may not even want.
The Verge says users and artists have voiced frustration that AI music is watering down playlists and diverting royalties away from working musicians. It also points to a growing backlash among listeners. A Deezer and Ipsos study found that 51 percent of respondents think AI will lead to more low-quality, generic-sounding music. The Verge also cites a Hollywood Reporter and Frost School of Music poll that found 66 percent of people never knowingly listen to AI-generated music, while 52 percent said they wouldn’t want to hear even their favourite artist if the music had been made with AI assistance.
That’s the real tension in the story. AI can make songs faster and cheaper than ever, but speed and scale don’t mean much if listeners see the result as soulless, disposable, or just more digital clutter.
Why the Industry Still Looks Torn
The streaming world seems stuck in an awkward middle phase. The Verge’s framing is sharp: they won’t ban AI music, but they won’t fully embrace it either.
That makes sense. Streaming platforms are under pressure from all sides. Ban AI music and they risk looking anti-innovation. Let it run wild and they risk turning their platforms into a junkyard of spam tracks, fake artists, and generic uploads no one actually wants. So instead they’re trying labels, detection tools, demonetisation, and transparency systems, even as some of those systems still look patchy or incomplete.
Why this matters for Australia
Australian artists, listeners and streaming users aren’t separated from any of this. The same platforms shaping global music discovery are the ones people here use every day, which means any shift in how AI music is handled overseas will flow straight into Australian listening habits too.
There’s also a bigger cultural question sitting underneath all this. Music isn’t just content. It’s one of the most emotional and personal forms of art people engage with, which helps explain why listeners seem more resistant to AI music than they are to other kinds of AI-generated media. The Verge points to research suggesting people may find AI-generated music less capable of carrying authentic emotion or building a meaningful connection.
The bigger takeaway is simple: streaming platforms may be learning that just because AI can flood the system with music doesn’t mean people actually want to hear it.
Source: The Verge
