I strongly agree on labeling the generated content.
Edit: Nevermind, see riddley's comment. That's what I get for being logged in, I guess?
> Tidal will hold AI-generated music to a higher standard of content integrity. We will not tolerate AI-generated music that exploits an individual’s or group’s music, name or likeness, deceives listeners, or diminishes the quality of our service.
I think this is a very reasonable approach, and probably also the best way to treat AI-powered copyright infringement as a whole. Just like we don't penalize artists for consuming content unless they produce actually infringing content, we should set the same focus for AI systems.
> Starting today, AI-generated music will not be monetizable. We are only in the beginning of the era of AI-generated music.
Don't really agree that this follows from the stated principle here ("... ensuring royalties go to original works produced, written and performed by people"), but will definitely help with spam etc.
My Tidal "feed" is full of new releases that are clearly AI-generated. They use the same artist name as artists that I really like, but the music is clearly not from the artist as advertised.
I have no problem with AI-generated music, I just don't want someone trying to spoof the artists I am interested in.
I think this needs more clarity. I can think of a lot of different ways AI is used in music today as a part of the song generation process and not sure whether or not this definition would apply to it. They specifically mention developments in "text-prompted generation" but if anything that confuses the issue more, for example what about training on specific music.
This isn't a comment on how expansive or narrow the definition should be, just that they need to spell it out more to allow for consistent application (to say nothing of enforcement). If someone uses ChatGPT for lyrics, but writes the instrumentals themselves, does this policy apply? I genuinely have no idea.
Would love for YouTube to follow suit on this
Tl;dr. Another one bites the dust.
> AI music generation tools are changing how music is created and distributed. As this technology evolves, Tidal is introducing platform standards to protect artists, their craft, and inform listeners.
> Here are the highlights of our new AI Policy:
> - Tidal will identify and tag AI-generated music in our app. Listeners will see an "AI" badge next to music we detect as wholly AI-generated.
> - Tidal will not tolerate AI-generated music that impersonates an artist or group, or that facilitates fraudulent activity. We're implementing automatic tools to remove these releases immediately and on an ongoing basis.
> - Tidal will not allow music that is 100% AI-generated to be monetized. No royalties will go to such releases, nor will AI-generated uploads be eligible for direct-to-fan sales.
> - We will expand these policies to music that is substantially AI-generated when AI detection technology is sufficiently reliable to do so.
> You'll start seeing these changes from July 15.
> Check out the full policy here. To learn more, please visit our FAQ.
> For the music,
> The Tidal Team
All in all seems reasonable. There's definitely been a wave of cheap slop flooding Tidal's library lately and removing the incentives for it seems like the exact correct approach to stemming that tide.
The only thing worrying to me is the use of “AI detection technology”; that stuff is notorious for both false positives and false negatives, and it seems to only be getting worse as AI is getting better at hiding its “tells”. As long as there's an appeals process with a human in the loop it should work out fine.
I'm also curious about how they'll define “substantially AI-generated”, i.e. where they'll draw that line. Human vocals over an AI backing track? AI vocals over a human backing track? All human performers, but using instruments with AI-generated sounds?
Okey, that's all I needed to know. They could just put this one sentence in the doc and be done with it.
If you use ai tools not for full generation of a song but perhaps a bass track would they allow monetizing?
Anyway the battle with slop is curation. Eurodance by AI is as shitty as eurodance by humans.
Which is to say, there are a lot of people who think "they can tell AI" in music, wherein you can cue the famous picture of the airplane with the bulletholes.
I'm not sure what you can do about it, and part of me hates it too -- but youtube has absolutely given me 100% AI generated music that's full of soul and better than, say, Bruno Mar,s IMHO.
(For those interested, my two examples would be the gospel "Thong Song" and the fake rock-n-roll dis track against 50 cent "by TI's Son," 2 quarters...)
But "creators" pushing AI music won't tag their slop as such because they want to monetize (surprise, they're not doing it for the love of the game).
So this hinges on Tidal being able to reliably identify AI-generated music.
Tie it to in-person concerts and it might actually work as a business, as well as logistically – maybe the company can be a record producer in disguise and physically meet every musician they host.
The music industry has stepped up its efforts globally to crack down on small businesses that play copyrighted music. They actually hire people to go into these places and spot violations.
People blame social media for the death of the monoculture but I think music rights holders have done a fair share of the damage to themselves.
Here we are. music is great, people do not suspect it's ai, artist behind AI is making money. Real work, real people are happy. It's just the voice and instruments are not real. How is it different from club music made in fruity loops? This music is just more complicated, hence no fruity loop. With AI you don't need to assemble the entire band do to funk music. Isn't that democratize access to music production?
This would then become something similar to how legal tech where a license is required to practice law relies on a few lawyers sitting as a gate after the AI
It’s pretty cool technology. You just ask for a certain feeling to be evoked and you can have it done. Magical.
I know professional musicians that will use AI models like Suno as an aid to their tracks - mostly where they'd previously use samples or program things themselves. In these cases, where the track may be x% AI and (1-x)% Human performance, where x is very small, I think monetization or even copyright shouldn't be too difficult.
But I also know people that use tools like Suno for everything, where every single aspect of the song: Lyrics, music, production is all done by AI tools. They basically just prompt some style and vibe they want, and will upload the result. In these cases, I don't think monetization or copyright should be possible.
Then again, it is difficult to know how much AI someone used to generate their tracks, so I'm not sure how this could be enforced. I also know people that are earning very good money off their (entirely) Suno-generated tracks.
Take away the attraction to the grifters and you reduce the issue.
Of course this does not eliminate the problem of the streaming platforms tolertating AI generated work so that they do not need to pay as much out for your subscription fee.
Personally, if there were a decent Spotify alternative that had a zero tolerance to gen AI policy, I'd switch without a second thought.
It's actually gotten better for those of us that value all sides of a given story so we can come to our own conclusions, instead of parroting stuff we hear in bubbles. I don't know anyone that's paid to engage, including myself.
AKA: We will take the value, if any, AI-generated music gives, but we will not be paying royalties. This is a contradictory statement. How does the AI-generated music give value if the generated content is inherently worthless?
X is not a meritocracy of ideas, either.
The other aspect that's missing from the discussion here is LEGAL. If Tidal is making money from stolen music -- although arguably they still are by offering it on a subscription basis -- then that opens them up to litigation. From that perspective, this may double both as risk-mitigation and also a marketing opportunity for them, would love an attorney to weigh in there.
(From the comments here, Spotify is the market leader and already pays out for AI generated music. But I can't say that independently.)
> Music is about connecting to human emotions, not poor facsimiles of it.
Like most things, this is an overgeneralization. In general, I agree, but not always.
While most AI-generated content is not going to appeal to most people, it's wrong to say that all AI-generated music is not about what music is about. Personally I find _some_ AI generated music to be amazingly fun to listen to, but mostly it's parodies or works that are essentially built on top of existing media.
A creative person using AI well can produce art that people enjoy and which adds to our culture (I selectively choose not to say "create" here to avoid that very overloaded connotation w.r.t. AI creations). That is not to say that most of the work that comes out of AI needs to exist or does any of those things.
Don't give ticketmaster any ideas.
The way royalties get assigned is based on a percentage of your listening versus your monthly payment.
For example, spend an entire month listening to Taylor Swift’s new album, she gets the entire royalty share.
But if you listen to the album 100 times but then listen to lofi beats 900 times, Taylor only gets 10%.
The “earnings per stream” number you’ll see cited is only an average and varies greatly because there’s only so much money to go around since your listening is unlimited.
But now you have services like Spotify that are removing real songs from “mood” playlists and replacing them with AI music that directs royalties toward Spotify.
Another factor that has happened: record labels have been working to screw over artists so much that they actually negotiated lower royalty rates with Spotify in exchange for company stock.
Giving up royalties but then instead owning a part of Spotify effectively directs money away artists and toward the labels.
I would not call someone typing words into a prompt an "artist" doing "real work", and they definitely should not be monetizing it.
That said, there are a lot of people who simply enjoy having something playing in the background, it doesn't matter what, and if you're into country music it's great to have 10,000+ hours of country music to play.
If Tidal provides a checkbox so you can choose whether to exclude AI content, I think that would work for both audiences.
You'd probably need to be more generally back-to-basics (instruments-only, no EDM).
> Artificial intelligence and machine learning are not new to music creation, they have just become more commonplace and advanced
In other words, there is no bright line. AI techniques have been a part of music creation from the start. What makes bad AI music hard to detect and remove is the fact that it is a much closer approximation of regular music.
"art is in the eye of the beholder."
I listen to a lot of EDM, which can be very mechanical, but I personally have strong emotional connection to. I personally would welcome AI-generated music as an alternative to human-made.
To be clear: I do agree a "human-verified" system would be great, but I don't think it would be black and white. And I would guess that eventually AI music will be better than a lot of human made music.
Independently-released music is a huge red flag. If you can’t find a single label A&R to support you, you may have to work on the quality of your output… music doesn’t exist in a vacuum. There are tens of thousands of labels across nearly every imaginable genre. Their role as gatekeeper is a valuable one.
And lots of composers can’t play the stuff they write. But the composition is human.
Then there’s emerging AI-supported music, since AI can come up with and test harmonic ideas far more sophisticated than most people. If a human’s saying “no, not that, try using an augmented sixth to get us from F#maj to Cmin”, is that human generated?
Not trying to be contrary, just saying the definition needs to be really clear, and that’s going to be difficult.
I'd love some Internet Pirate Radio. If someone wants to sort through the best all-AI tracks and run those, that'd be cool. I don't want an AI to pick the best AI tracks.
That has some different second order consequences that I don't think you're seeing. It's not that they will be free to you as a user, it's more that they will be free from the platform perspective to do whatever they want with the revenue they get from it.
Say for example you have a platform with Spotify monetization scheme for instance, which is already very unfair to small artists. But now imagine you have to compete to be included on auto play or playlists against something that's basically free for Spotify, what's your chance of getting any money out of it? Say Spotify changes their algorithm and starts pushing 20% of all auto play playlists to consist of AI songs, that's basically a 20% bump on their profit basis.
You really just want your users, who hate AI, to see a big "REPORT AI" button they can click. The problem you are trying to solve is the perception among your users that your platform is dominated by AI slop. So at the end of the day the only thing you actually have to figure out is what your users think is AI slop, have a quick trigger on un-popular stuff, and basically never enforce on popular stuff unless there is actually some controversy.
> Generative models synthesize sound mathematically. These synthesis methods leave unnatural dips, specific spectral noise profiles, or phase alignments that rarely occur in real, human-recorded audio
However, startups providing at massive loss wep applications with which you can prompt with few words some inane crap is completely a new phenomenon and it has as much to do with music as spam emails have with literature. It is pretty clear what the difference is.
For EDM, check out the AI artist "Vibfy". Especially the song "I Hear You" as it has the best mastering so far. The melody and vocals of all the songs are fire, but in some of the earlier songs the mastering is sub-par with strange volume changes and muddy beats.
There is an AI folk band called "We're all f*cked" that is incredibly good and indistinguishable from actual humans.
Probably too expensive to scale, but... it's an idea.
I also really like the quasi social aspect where users have simple profiles. No messages between users, no likes, no ratings, no BS. About the most you can do is leave a text review. Your profile is an image and text field so you can write a simple bio and provide links to whatever. My entire Bandcamp collection is discovered by crawling profiles and randomly listening to things. I also found some fun personal sites and so on. The site design is also simple and not a JS laden mess like "MoDeRn" ampwall.
Personally I think it’s a bit like cultural junk food: it has the appearance of real food, but leaves one hungry afterward. Which really isn’t all that surprising – music isn’t just some random collection of patterns, it’s intimately tied to real culture. Current AI software is only ever going to copy and regurgitate human culture, not make meaningful creations from scratch.
Doesn’t matter how carefully crafted it was: it’s only real if you couldn’t hit “play”. Sorry, Mike Oldfield. Hate to break it to you that you’re a fake musician.
I agree with you. I do enjoy some live musicians jamming on a stage, but for a lot of the genres I frequently listen to, I’d have no way of knowing if a song was written by human or by AI. If it’s good, it’s good.
You've never listened to anything on Soundcloud and found it good?
Most AI music is actually country-pop ballads and indie folk.
Making electronic music with AI is hard and it isn't very good at it.
https://open.spotify.com/track/0jGJtiDfEO9syfSL8AshBF?si=b92...
I think food is a good analogy here. This is a bit like saying I can’t tell the difference between the McDonald’s that is 90% automated and the McDonald’s that’s 20% automated. You’re still just talking about McDonald’s, which is manufactured and engineered to deliver a very specific taste and flavor.
Pop music, almost by definition, is not innovative. Consider the experimental bleeding edge that pushes the evolution of genres. Eventually, that experimental sound enters the pop cycle. Off the top of my head, Fred Again was innovative in 2022, Kettama was innovative in 2025. Fred’s already pop-adjacent, if not full on directly impacting the pop industry at this point. If you want slightly older examples, I would give you Skrillex circa 2010, or Zedd circa 2014.
Ultimately this isn't really solvable without a way of marking audio with a verifiable signature that it was produced by a specific human, with some kind of reputation algorithm.
Incentives are mismatched here - the indie band benefits from being noticed and sought out, the coffee shop wants to set a vibe without distracting or irritating anyone (which music can do simply by repeating, if you don't curate a large enough collection).
So unless your playlist is, like, part of the product you're selling (which it is for a number of coffee shops to be fair), you just look for something like "10 hours of lo-fi beats to study to" and throw it on.
That being said, I guess I may have some genre bias. Maybe it’s exceedingly difficult to get signed to a small label as e.g. a Midwest Emo Band (bad example because I have friends who released on a small label as a Midwest Emo Band). But you need to put in the effort if you expect me to give you my precious listening time.
Edit: redundancy
My own taste in music is pretty junk-food-y I guess. Electronic music and not the pretentious kind. Dubstep, electro. Give me something that goes wub-wub. Incidentally, I think this experience mostly isn't one about human connection? Like, there is some circuit in my brain that likes that sound and wants to be tickled.
I can play classical piano to a mediocre standard. I listen to it and enjoy it occasionally. But, honestly, what I feel like my spirit needs is something that goes wub-wub and I think that space is densely seeded enough that maybe we can scale back human involvement in producing it.
Electronic or not, whether messing with a buchla or producing via vsts and changing knobs around still ends up with a human feel and human choices in a way AI music doesn't.
And what about the line between triggers or samples? I can play some impossible AI music if I sample the impossible parts and just say it's a sample played on a synth or whatever.
With SACEM, if you have a cafe, then you have to pay 4000 USD per year to support musicians, etc etc.
Of course, this is only broadcasting rights, you have to acquire the music (or rent it) on a B2B platform.
If you play AI Lofi in theory you don't have to, but don't worry that inspectors will find a way to fine you.
Ironically, the human band you are playing will get zero, and it will go to the big rich and popular artists.
Something like https://picard.musicbrainz.org/ can be used if you want to get more complicated. For instance I like to keep albums in folders per release year.
Other than the simple approach of playlists and/or shuffle, unfortunately no.
> I just want an easy way to put some music on while I'm working.
Think of Bandcamp as a record store, not a radio station.
Electronic music is probably my favorite genre, broadly. But there’s a human behind the machine, not a random collection of patterns. To use a concrete example: NIN is about 1000% more interesting because of who Trent Reznor is, and not because it’s merely good music.
This disconnect is much more of an issue with say, country or bluegrass or jazz. To divorce those from the musician and their cultural context is to miss the whole point.
House music can bring me as much joy as listening to Bach performed by a skilled ensemble. It depends on where I am at mentally. Both are valid forms of human expression.
Hey, this is really fucking stupid.
They would benefit much more from a have a better recommendation and ranking algorithm that carefully monitors all metrics, recommends high-performers, and excludes unpopular content from the feed.
You can use the fact it was AI-generated as a signal, but it is just a signal among other criterias, not an outright ban.
Essentially, explore songs and artists, exploit winners.
Lot of people abort a song/artist/creator/etc.
Lot of fake listens.
People don't like the song of an album
Creator is historically with a low score
etc...
-> Downrank( https://en.wikipedia.org/wiki/Multi-armed_bandit )
Then you judge the popularity of a song, an album, a creator, a playlist, etc not its creation method. Exactly like a genre type. It's not because you don't like country music that everybody should be forbidden to listen to country music.
It's good for them too, the more streams they do, the more money they get, and the more their audience is engaged. If the person doesn’t like “AI-generated genre” then just downrank it heavily on its recommandation feed, like YouTube or TikTok does.
AI can't do "robotic" math music, it's best at sappy generic emotive stuff. (I guess this isn't at all a surprise for those that know how the musical sausage is made.)
If you can’t see how these are fundamentally different things, I don’t know what to tell you.
Like, a lot of times you're just engaging with someone's desire to have made a song, and what they felt about some songs that someone else made.