AI Music Hits 44% of Uploads and Nobody Wants It
There’s a paradox at the center of the music industry right now, and it’s getting louder every week.
Deezer is now receiving almost 75,000 AI-generated tracks per day, representing roughly 44% of the daily uploads. That’s not a typo. Nearly half of all new music hitting the platform is synthetic. This amounts to more than 2 million AI-generated tracks uploaded per month.
And yet — here’s the paradox — consumption of AI-generated music on the platform is still very low, between 1-3% of the total streams. Even more damning: a majority (85%) of these streams are detected as fraudulent and are demonetized by Deezer.
We’re living through the moment where AI can make more music than humans ever could, but humans don’t actually want to listen to it. This is the defining tension of the music industry in 2026, and if you’re an indie musician or creator, understanding it could be your biggest competitive advantage.
The Flood: How We Got to 75,000 AI Tracks Per Day
The numbers are staggering, and they’ve been accelerating fast. Deezer reported receiving around 60,000 AI tracks per day in January, up from 50,000 in November, 30,000 in September, and just 10,000 in January 2025, when it first launched its AI-music detection tool.
Think about that trajectory: a 7.5x increase in just fifteen months. Tools like Suno and Udio have made it trivially easy to generate professional-sounding tracks from text prompts. Suno is an AI platform easily found online that will create any song just by entering prompts. The barrier to releasing “music” has essentially dropped to zero.
Songs tagged as AI-generated on Deezer are automatically removed from algorithmic recommendations and not included in editorial playlists. The company has even gone further — the platform has now stopped storing hi-res versions of AI-generated tracks to save on infrastructure costs. When nearly half your incoming catalog is synthetic slop, storage bills add up.
But here’s what makes this truly alarming: other major streaming services, such as Spotify and Apple Music, take different approaches to AI-generated music, often combining the use of filters to identify low-quality AI music with other transparency efforts left up to the distributors. In other words, Deezer is the only major platform actively detecting and tagging this stuff at the platform level. The 44% figure likely applies industry-wide — most other services just don’t have the tools to measure it yet.
The Chart Game: IngaRose and the iTunes Illusion
While the flood of AI slop quietly accumulates in the background, a few AI projects have managed to grab real headlines. An AI-generated artist has climbed to the top of the iTunes charts, with IngaRose’s track Celebrate Me reaching No. 1 globally.
IngaRose, a synthetic R&B performer who does not exist in real life, reached number one on April 17. Notably, Suno, the generative AI music platform that has powered several viral moments in recent months, created the track.
The project’s transparency is interesting — half brazen, half defensive. On IngaRose’s Instagram page, there is a description: “Human written lyrics, Real stories. Stems & arrangement refined using Suno.”
IngaRose has more than 240,000 followers and 1.4m likes on TikTok; 251,000 followers on Instagram; more than 90,000 subscribers on YouTube; and more than 942,000 monthly listeners on Spotify.
That’s not nothing. But context matters enormously. The iTunes chart is separate from streaming-based rankings like Spotify or Billboard. Apple’s own provider support pages distinguish between Apple Music streams and iTunes Store sales. In the age of streaming, topping iTunes is more about concentrated purchasing campaigns than mass cultural impact.
IngaRose follows a pattern we’ve seen before. Breaking Rust, an AI country “artist,” landed the Number 1 spot on Billboard’s Country Digital Song Sales chart. But as Billboard’s own analysis showed, Breaking Rust’s track “Walk My Walk” amassed approximately 3,000 track downloads in the week ending Nov. 6. Three thousand downloads. That’s all it takes to “top a chart” these days.
The most successful AI artist remains Xania Monet, an artist with an animated avatar created by Mississippi-based songwriter Telisha “Nikki” Jones. Jones writes the lyrics and has used Suno — along with help from some other humans — to create the songs.
There was a bidding war to sign Xania Monet with offers reaching $3 million. Hallwood Media, led by former Interscope executive Neil Jacobson, ultimately signed Monet to a multimillion-dollar deal.
So AI artists can chart. They can get signed. They can generate real social media followings. But are people actually connecting with this music? The data says: increasingly, no.
The Backlash: Listeners Are Turning Against AI Music
A bombshell Luminate report dropped just days ago, and it paints a picture the AI hype machine doesn’t want you to see.
“Across the board, what we found is that consumers are net negative,” says Audrey Schomer, a media analyst and research editor at Luminate who authored the report. “All that means is that people are more likely to feel uncomfortable than to feel comfortable with AI use.”
The study compared attitudes towards AI use in music creation from May to November of 2025. It found that overall interest dropped from -13% to -20% during that time period. The trend is clear: the more people learn about AI music, the less they like it.
A significant portion of the people surveyed — about a third — feel indifferent towards AI music altogether. Schomer notes that the decline in interest is marked by people who changed their outlook from positive to negative from May to November.
And that Deezer survey from November? 97% of participants couldn’t tell the difference between fully AI-generated music and human-made music. Yet 52% of respondents said 100% AI-generated songs shouldn’t be included in charts alongside human-made songs.
This is a critical insight: listeners can’t detect AI music, but they don’t want it. The discomfort is philosophical, not perceptual. People value the human story behind the music even when the sonic quality is indistinguishable. If you’re a real musician making real music, that’s actually great news — your humanity is your moat.
When it comes to music, Luminate’s report found that sentiments are particularly negative towards new songs created by AI in the style or sound of an existing artist. The clone problem — AI covers, style mimicry, knockoff voices — is where the real anger lives.
Artists Fight Back: From SZA to “Say No To Suno”
The artist backlash has moved from background grumbling to full-throated war cries. In March, SZA stated, sternly and defiantly, “I feel like I’m at war because of AI.”
Her critique cuts deeper than most. “It’s happening disproportionately with Black music,” SZA said. “Why am I hearing AI covers of Olivia Dean, when Olivia Dean just came the f*** out? She can’t even collect the streams. I’m also really offended by the type of Black music that’s coming out of AI. Weird, stereotypical struggle music.”
That observation about R&B being disproportionately affected is backed by real data. 31.7% of tracks submitted to SIQA are categorised as R&B/Soul. It’s the biggest genre in the sample by a distance — ahead of pop (12.4%), hip-hop/rap (10.9%), rock/alternative (10.7%) and country (9.9%).
If you create AI music videos for R&B or hip-hop, this is context you absolutely need to understand. There’s a difference between using AI as a tool to visualize your authentic music and using it to replace authentic musical expression entirely.
In February 2026, a Say No to Suno campaign was launched by artists’ rights groups worldwide. In February, several artists’ rights groups from around the world published an open letter called “Say No To Suno” in which they claimed that AI content “dilutes the royalty pools of legitimate artists.”
Last month, Taylor Swift became the latest artist to file several trademark patents that could be meant to protect her voice or image from being used by AI tools.
The message from the creative community is clear: the AI music flood isn’t just an aesthetic problem — it’s an economic one.
The Economics: €4 Billion at Stake
A landmark CISAC study (representing over 5 million creators worldwide) put hard numbers on the threat. Music and audiovisual creators will see respectively 24% and 21% of their revenues at risk of loss by 2028.
For music creators alone, there will be a cumulative loss of €10 billion ($10.5 billion) between 2023 and 2028, with annual losses of €4 billion ($4.2 billion) by that year.
The mechanism is simple: by 2028, Gen AI music will account for around 20% of music streaming platforms’ revenues and around 60% of music libraries revenues. Every AI track that gets streamed instead of a human-made track siphons money from the same royalty pool.
This hits different genres differently. The country music scene has been particularly shaken after Breaking Rust and Cain Walker charted, while the pop world is bracing for what comes next. Nashville publishers, according to Billboard, will have to figure out how to deal with AI in a way that doesn’t continue the bloodletting in the songwriting and demo-making process.
What This Means for Independent Musicians
Here’s where we stop wringing our hands and start talking strategy. Because if you’re an indie musician in 2026, this landscape is actually more nuanced than the doom-and-gloom headlines suggest.
Your Humanity Is Your Brand
A Deezer survey revealed that 97% of participants could not distinguish between two AI songs and one human-made track. But listeners still overwhelmingly prefer knowing a human made their music. This means your story, your face, your struggle, your creative journey — that’s the product. The music is the medium. The humanity is the value proposition.
This is where AI music videos become a powerful ally rather than a threat. Using AI to visualize your human-made music is fundamentally different from using AI to replace human creativity. When you use a tool like OneMoreShot.ai to create stunning visuals for your authentic tracks, you’re enhancing the human creative output — not substituting it.
Visual Content Is Your Differentiator
In a world flooded with AI-generated audio, the artists who win will be the ones who show up as complete creative packages. A track on Spotify is just a track. A track with a compelling visual story, a face, a narrative arc — that’s an experience people remember and share.
Learning how to make an AI music video for your real, human-made music is one of the smartest investments you can make right now. The irony is beautiful: using AI video tools to amplify what makes you human.
Genre Matters More Than Ever
90.4% of the artists submitting AI tracks were using Suno. And the genre distribution is wildly uneven — R&B/Soul makes up nearly a third of AI output, while genres like jazz, metal, and indie are significantly less saturated.
If you’re in a genre that AI hasn’t convincingly cracked yet — think jazz improvisation, raw rock energy, or the nuanced emotion of indie folk — your moat is wider than you think. Lean into what makes your genre resistant to synthetic reproduction.
Transparency Wins Trust
Schomer suggests that musicians speaking out against AI could be moving the needle. “If people have any sort of affinities towards specific artists who have been active in some of those artist rights campaigns, then perhaps that rising awareness would lead people — particularly young people — to be more anti AI.”
Being openly, proudly human-made is becoming a marketing advantage. Some artists are already putting “100% human-made” badges on their releases. It’s the music equivalent of “organic” labeling — and listeners are paying attention.
The Bigger Picture: Where This Goes Next
Major AI song generators including Suno and Udio have faced copyright lawsuits for training their models on artists’ music without authorization — but several labels and publishers, including Warner Music Group and Universal Music Group, have struck licensing deals with these same AI tools.
That contradiction tells you everything. The industry is simultaneously fighting AI and cutting deals with it. The future isn’t all-or-nothing — it’s a messy, negotiated middle ground where AI tools serve human creativity rather than replace it.
Several music generators and streaming services like Spotify have indicated that they’d like to create interactive ways for fans to remix and alter existing songs using AI. The streaming platforms see AI as a feature, not a threat. How that plays out against the backdrop of growing listener skepticism will be one of the defining tensions of the next few years.
For independent musicians, the playbook is clear: make real music, tell real stories, and use AI as a production and visual tool — not a replacement for artistry. The flood of 75,000 synthetic tracks per day is actually making your authentic voice more valuable, not less.
Make Your Music Visible
In a landscape drowning in synthetic content, standing out visually has never been more important. Your music is real. Your story is real. Now give it visuals that match.
OneMoreShot.ai lets you create stunning AI music videos in minutes — turning your authentic tracks into scroll-stopping visual experiences across every genre. Because in 2026, the artists who win aren’t just the ones who sound good. They’re the ones who show up.
The AI flood is real. But so are you. And right now, that’s worth more than ever.