Artificial intelligence is changing how music is created, but the backlash against fully AI-generated songs is becoming impossible for the music industry to ignore.
Streaming platforms and music organizations are now moving toward stricter labeling, reduced monetization and tighter chart eligibility rules as concerns grow over transparency, streaming fraud and the use of artists’ work to train AI systems.
The debate has shifted from whether AI belongs in music to a much bigger question: Should listeners be told when the “artist” behind a song may not actually be human?
A recent CNA commentary by Bloomberg Opinion columnist Dave Lee argues that the music industry is beginning to push back against what he describes as “AI slop” — fully machine-generated music that can enter the same recommendation systems and charts as recordings made by human musicians.
AI Songs Are No Longer a Fringe Experiment
AI-generated music has rapidly moved from novelty to a serious industry issue.
CNA reported that The New York Times has identified roughly a dozen AI-generated songs that have appeared on various Billboard charts since 2022. Many were reportedly created using Suno, one of the leading AI music-generation platforms.
The challenge is that not every song using AI is necessarily an “AI song.”
A musician might use AI to experiment with arrangements, generate a limited instrumental element or assist during production while still writing, performing and creatively directing the recording.
That distinction is becoming central to the industry’s response.
In July, major music organizations including IFPI, RIAA, the Recording Academy, SAG-AFTRA and independent-music groups announced a proposed labeling framework distinguishing “AI-Generated” recordings from “AI-Assisted” music.
Under the proposed definitions, a recording would generally be considered AI-generated when generative AI creates the entirety or primary portion of its creative elements. AI-assisted music, by contrast, remains substantially human-created while using AI for some elements.
Spotify Is Putting AI Personas Under the Microscope
Spotify is also taking steps to make AI-generated artist identities easier to recognize.
The company announced that beginning in mid-September, selected artist profiles representing AI-generated personas will receive an “AI Persona” badge.
Spotify says these profiles will generally be excluded from editorial and algorithmic recommendations by default, unless a listener specifically follows them or otherwise chooses to engage with them.
The distinction is important because Spotify’s AI transparency system covers more than the music itself.
Its AI Credits feature allows artists to disclose how AI was used during the creation of a track, while the new AI Persona system focuses specifically on whether the supposed artist identity represents a real person.
That means a human musician using AI as a production tool isn’t automatically treated the same way as a completely artificial artist profile.
Tidal Goes Further — No Royalties for Fully AI-Generated Music
Tidal has taken an even harder position on fully AI-generated music.
Under its policy, Tidal will allow AI-generated music on the service but requires AI-generated tracks to be identified. The platform says wholly AI-generated music will not be monetizable, meaning it will not knowingly attribute royalties to music it identifies as entirely AI-generated.
Tidal also says it can block or remove AI-generated music associated with fraudulent activity, including high-volume uploads and unusual streaming behavior designed to interfere with authentic artists or manipulate the platform.
That is significant because the fight isn’t only about artistic authenticity.
It is also about money.
If thousands of AI-generated tracks can be uploaded automatically and artificially streamed, they could potentially divert royalty revenue away from musicians who actually create and perform music.
Deezer Reveals Just How Big the Problem Has Become
Deezer’s data offers a striking picture of the scale of AI music production.
The streaming company said fully AI-generated tracks accounted for more than 50% of new daily music uploads at peak levels in June 2026, with approximately 90,000 AI-generated tracks arriving per day.
But there is an important distinction between uploads and actual listening.
Deezer said fully AI-generated music represented only about 1% to 3% of total streams on its platform, partly because detected AI tracks are excluded from algorithmic recommendations and editorial playlists.
The company also reported that up to 85% of streams on fully AI-generated tracks were identified as fraudulent in 2025, although that figure applies specifically to the AI-generated tracks Deezer analyzed, not to all music streaming generally.
Deezer’s research also highlights another problem: detection.
In a survey commissioned by the company, 97% of participants were unable to distinguish fully AI-generated music from human-made music in a blind test.
That makes transparent labeling increasingly important.
Australia Draws a Line at the Music Charts
Australia has gone even further.
The Australian Recording Industry Association, or ARIA, now excludes wholly AI-generated recordings from its official charts.
AI-assisted recordings can still qualify, but only if they satisfy requirements including being substantially human-made and avoiding concerns about streaming or chart manipulation.
The decision followed controversy surrounding an AI-generated version of Madonna’s “Like a Prayer,” which climbed high on Australian charts and fueled a debate about whether fully synthetic music should compete directly with human-created recordings.
ARIA’s approach is part of a wider international framework being rolled out by IFPI.
The new chart principles say recordings developed using generative AI must be properly authorized and lawful, substantially human-made, free of manipulation concerns and compliant with applicable copyright and personality-rights laws.
Importantly for Filipino music fans, IFPI says these principles are being applied to its Official Southeast Asia Charts, including the Philippines, Singapore, Malaysia, Thailand, Indonesia and Vietnam.
Suno Faces Another Legal Challenge
The legal battle surrounding AI music is also expanding.
On Sept. 1, musicians including Jason Isbell, David Lowery, Guy Forsyth and Eduardo Calle filed a proposed class-action lawsuit against Suno in Massachusetts.
Unlike several earlier copyright cases involving AI companies, the new lawsuit focuses heavily on the alleged unauthorized use of musicians’ identities and likenesses to generate music resembling their styles.
Suno disputes the allegations and says its tools are intended to create new, original music while maintaining safeguards against misuse.
The case adds another layer to the rapidly growing legal debate over whether AI companies can use existing music, artistic identities and creative styles to build commercial generative systems.
The Bigger Question: Can AI Make Music Without Replacing Musicians?
The industry’s response isn’t necessarily an attempt to eliminate AI from music.
In fact, several prominent musicians see AI as a legitimate creative tool.
Hip-hop producer Dr Dre has described AI as a new tool for creativity, while ABBA’s Bjorn Ulvaeus has said AI can help him imagine musical arrangements and explore ideas more quickly.
The dividing line increasingly appears to be human involvement, transparency and consent.
The emerging industry framework does not simply say “AI music is bad.” Instead, it attempts to separate music where humans remain the primary creative force from recordings that are largely or entirely generated by machines.
That could ultimately lead to a new music ecosystem in which AI-assisted musicians, fully synthetic music and traditional human-made recordings are treated differently.
Why This Matters to Every Music Listener
The battle over AI music isn’t just an argument between technology companies and musicians.
It affects what appears in playlists, how artists are discovered, how royalties are distributed and what consumers understand about the music they’re hearing.
And because AI-generated music can now sound remarkably convincing, simply asking listeners to “tell the difference” may no longer be realistic.
The industry is therefore moving toward a different solution: label it, track it and establish rules for where it can compete.
Whether those safeguards will be strong enough remains an open question.
But one thing is already clear: the music industry is no longer treating AI-generated songs as a futuristic possibility.
The fight over who — or what — gets to be called an artist has already begun.
WWC ONE MEDIA M.J.E
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