Is the DJ-Producer Model Broken? AI Ethics, Distribution, and the Future of Dance Music

The dance music industry is at a crossroads. The model that produced its most innovative era — one person making music in their bedroom and playing it out at weekends — is under strain from multiple directions at once. Social media has shifted the goalposts for who gets booked. Financial pressure is squeezing venues and promoters. AI is raising uncomfortable questions about creativity, compensation, and what it even means to make music.

This guide explores the major forces reshaping dance music today. It's not a how-to. It's a honest look at where the industry is, what's working, what's broken, and what might come next.

The Legend of the DJ-Producer and Why It's Breaking Down

The classic DJ-producer model — one person making music in their bedroom and playing it out at weekends — powered the most innovative era of dance music.

That was kind of the reward. And it also informed the art, informed the output, too.

One of the things that's happened over the course of the last few years is that there has been a breakdown between the making of tunes and the getting of gigs.

How Social Media Destroyed the Link Between Music Quality and Gigs

To get gigs now, you've got to have a massive social media following and be a very marketable person.

People get to know acts through that medium, and it makes complete sense. It's not a conspiracy. It's just a natural consequence of this method of communication.

But what that means is music becomes less important, basically. You are rewarded less for being musically interesting, being musically innovative.

The more important thing is how you look, it's how you project yourself, it's how you perform on stage, it's the ability of your DJ sets to produce good short-form video content. And that means that great producers don't get as many gigs.

There's a kind of tendency to blame female DJs for taking the gigs of the older dudes. Obviously, that's mostly nonsense.

There has been a high degree of positive discrimination in favour of female DJs, and you can debate whether that's a good thing or not. But the more important factor really is just that the market, as it's set up now, rewards marketability more than musical innovation.

The hard truth: The DJ-producer paradigm that produced the most innovation, the most interesting music, the biggest tunes, and the best tunes in dance music history is being replaced by a system that rewards how you look, project yourself, and perform on stage. Musical innovation is no longer the primary currency.

The Financial Pressure on Venues and Promoters

Promoters and venues are under unprecedented pressure in the history of the dance scene.

Cost inflation, the tendency of prices to just go up and up and up, without disposable income necessarily matching it. There's only a certain amount you can put up ticket prices.

Ticket prices have gone up, but really not in a way that matches cost. That's basically because the consumer isn't earning sufficiently more money to bear what should be the correct cost increases in ticket prices.

The Disappearance of Anthems and the Rise of Safe Music

There aren't any anthems anymore. There's a lot of good tunes, but there's not a ton of era-defining or summer-defining anthems like there used to be.

There's a lot of safe music being made, a lot of ghost-written music, frankly, being put out. That serves a purpose, and that purpose is basically to lend credibility to the DJs who are getting the gigs as a result of their marketability.

That DJ-producer paradigm was really what powered the best era of dance music — the era that produced the most innovation, the most interesting music, the biggest tunes, the best tunes.

Musicians and the Challenge of Finding Alternative Revenue Streams

Everyone in the creative industries is struggling to make money, and musicians are no exception.

As a musician, you have to try and find other revenue streams. Quite a lot of the time, these revenue streams are not palatable to the audience.

There's a DJ-producer who makes some really interesting music and works a really interesting visual aesthetic, but her personal image is very much part of that aesthetic. It's basically impossible at this point to make a living from music, and very difficult from shows too, because there are fewer shows to go around and far more DJs competing for those shows.

So this kind of secondary revenue stream is an absolute classic one, and in her position, you can absolutely understand why she would do it. But she gets all kinds of blowback for it, as you can imagine.

As musicians, we are beholden to our audience. You have to know your audience. And when what you do doesn't fit with the expectations of that audience, it's a really difficult circle to square.

The breakdown between tunes and music and the challenges that people face in developing extra revenue streams — it's extraordinarily tough. Something very big has got to change to get to a point where the people that make the best dance music are the ones that are rewarded the best, or at least more consistently than they are now.

How Do You View the Ethics of AI in Music?

There's no one way of using AI in music, and the debate gets reduced too often to "Suno's bad, AI is bad."

When people think about AI, it's clicking generate on Suno and it spits out a finished track and you upload it to Spotify. The people that I talk to are scared, really scared. They're freaked out about that completely.

That's completely understandable, but it's also quite a small part of what AI is in music. It's built into so many of the programs that we use now — plugins, DAWs, various different things we use to support releases, artwork. There are so many different facets to it.

The Two Separate Ethical Complaints About AI in Music

When people complain about AI, they're actually complaining about two completely different things.

The first is cheating in the process of making music. That's the Suno thing. As the Suno CEO said, music apparently isn't fun to make anymore, so it's much better just to push a button and see what comes out.

The people who have been making music for a long time and take the process seriously and enjoy it — that's an awful thing to say. And I think that's totally legit.

Then there's the other side of it, which is the ethics of using a model — any kind of model — which has been trained on other people's work. That's a very different complaint, but it's just as problematic morally.

The conversations that I have with musicians — people are much more sanguine about the latter than the former. Many people have basically almost no problem using AI to work up a vocal line, or to make some drums, or using Stem Vertor to extract stems. I use that absolutely. I have very little problem with it, actually.

But when you think about it, all of these models have been trained on data and on work which has been previously done by people who are not being compensated for it. That is a big, big problem. And I think that particular issue is one which is not taken anywhere near seriously enough by musicians.

Pro tip: The contradiction is real. Many DJs who would never use Suno to generate a track are perfectly happy using stem separation tools — even though both are built on models trained on uncompensated work. The ethical line is drawn differently by different people, and that inconsistency is worth examining honestly.

The Debate Between Regulation and Creative Freedom

The online debate between figures like Mat Dryhurst, Holly Herndon, and Ed Newton-Rex shows just how divided the music world is on AI regulation.

Ed Newton-Rex has argued very much in favour of regulation and much more specific compensation for people whose data has been used to train these models. Holly Herndon interestingly came out very publicly in favour — well, no, against Bandcamp's statement where they are going to ban AI music and have an almost cultural-revolution-style approach where you can dob people in if you suspect they're using AI.

That's a little bit of a problematic way of doing it, generally speaking. But it's interesting that Holly was willing to come out very strongly and say that artistically this is essential — that great art in her opinion is being made using these tools.

Is Using AI Like Suno Cheating?

Is it cheating to use a program like Suno? Yeah, absolutely it is.

It totally is, in my opinion. It's completely unethical. It makes a mockery of the idea that music is art.

On the other hand, with the ethics of using models which have been trained on others' work — I'm more on the side, overall, of the idea that more protection should be given to people whose work has been used. The idea that the horse has already bolted and nothing can be done about it — well, Web 2.0 basically suffered from that approach. Basically, oh, it's already done, we can't regulate it.

The problems that social media has caused in society are basically a result of that kind of throwing your hands up and giving up at the regulatory level. I don't think that's doable with AI. I think it's too important to make that mistake again.

The Real Problem: Distribution, Not the Tools

For me, the problem is distribution. It's not these tools. It's not AI music.

Companies like DistroKid and many others have enabled all of this awful music which, in years gone by, would never have been able to have been released. It enables it to be sitting on DSPs in exactly the same way and with exactly the same prominence as the Beatles.

That, to me, is the issue far more than any of this tech stuff. One of the most interesting episodes we ever did was with Robert Henke, one of the founders of Ableton. I asked him straight out: is the avalanche of bad music that Ableton has enabled worth it for the existence of a tool which helps so much great music be made?

To him it absolutely is worth it to have this avalanche of nonsense, because the utility of a tool like Ableton is such that it enables the good stuff to be made, too.

Summary: Forces Reshaping Dance Music