Music prediction markets: a half-billion dollar business based on guessing what will happen in music...

24 Jun 2026 · 39 min · 14 chapters

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In short

Music prediction markets—apps where users stake money on yes/no music outcomes, treating them like contracts rather than “gambling,” and how this is becoming a fast-growing, data-driven layer atop the music industry.

Guests

Stuart Dredge and Joe Sparrow (hosts of The Price of Music, brought to you by Music Ally). No external guests are interviewed in this transcript.

Guest backgrounds

Not detailed beyond their roles as music-industry commentators/hosts (Stuart “has all the knowledge”; Joe “answers questions”).

Key claims

Market volume is large (e.g., Calshi music trading cited as $400M in 2026 so far; episode mentions ~half-billion market overall). Platforms: Polymarket (crypto/offshore, less regulated; US-restricted) and Kalshi (regulated by US CFTC). Rights holders aren’t involved; anyone can create markets. Risks include insider trading, conflicts of interest, and gambling-like addiction harms.

Notable examples

“Who will headline Lollapalooza Chicago 2026?” (Lord ~95%); “Will Drake and Kendrick Lamar make a song together before 2030?” (~50/50); “Who will have a number one song on Spotify USA in June?” (e.g., Drake ~11%, Sabrina Carpenter ~12%); Bad Bunny Super Bowl opener song market (~$110M traded).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Introduction to Prediction Markets

0:45 to 1:16

Discussion about what prediction markets are and their relevance to the music industry.

“it's prediction markets and particularly prediction markets based on music.”

How Prediction Markets Operate

1:16 to 2:14

Explaining how prediction markets function, including the concept of trading and contracts.

“because to me, I didn't know anything about prediction markets until a few months ago, and now suddenly they're big.”

Major Platforms in Prediction Markets

2:14 to 4:26

Overview of the leading prediction market platforms and their operational differences.

“will Taylor Swift release a new album this month?”

Music Prediction Markets Explained

4:26 to 6:53

Exploration of prediction markets specific to music events and trends.

“and probably everybody knows at least one person who has a gambling app on their phone and uses it regularly to bet on football, for instance, the USA is not like that.”

The Financial Impact of Music Prediction Markets

6:53 to 10:46

Analysis of the financial stakes in music prediction markets and their implications.

“Because obviously on these things, and I think I've seen Polymarket in the press for some big football bets.”

Implications for Music Industry Stakeholders

10:46 to 14:02

Discussion on how prediction markets could influence decisions in the music industry.

“I mean, so this is sitting on top of the music business.”

Predicting Music Events: The Role of Prediction Markets

14:02 to 16:47

Learn how prediction markets are being used to anticipate music events and their implications for artists.

“Or is it just hardcore crypto gambler people?”

Legal and Ethical Implications of Music Predictions

16:47 to 19:58

Explore the legal complexities and ethical concerns surrounding insider trading in music prediction markets.

“And this is what's happened with the military stuff, hasn't it?”

Impact of Prediction Markets on Artist Strategy

19:58 to 22:44

Understand how artists might leverage prediction market data for their release strategies.

“So as another example, so yes, you could, if you wanted to, through somebody else or in an anonymized way, understand the data that you've got from inside your company.”

The Billion-Dollar Prediction Market and Industry Dynamics

22:44 to 28:00

Discuss the implications of a billion-dollar prediction market on the music industry and fan engagement.

“But that was a football match where there was no shenanigans.”
Show all 14 chapters

The High-Stakes Gamification of Music

28:00 to 30:00

Explore the emerging trend of music prediction markets and their impact on fan engagement.

“They are future predictions that have money tied into them.”

Legal Implications and Risks of Prediction Markets

30:00 to 32:28

Discuss the legal status of music prediction markets and potential risks for consumers.

“but it's legally not gambling very carefully.”

The Future of Music Data and Prediction Markets

32:28 to 34:41

Analyze how data licensing could shape the growth of prediction markets in music.

“So I'm sure anybody who's sitting on music data might want to...”

Emerging Markets and Fan Participation

34:41 to 36:54

Investigate the rise of music prediction markets and their effects on fan behavior.

“And then people who are just sort of obsessively looking for things to predict on, which also feels like gambling, which you can do on the finance markets as well.”
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Transcript

Automatic transcript. May contain errors.

0:02Hi, everyone. Welcome to The Price of Music, brought to you by Music Ally. If you want a guide to what's going on in the music industry and how it all works, well, here we are, looking at the finances and the stories and stuff that's going on in the pop biz in the last week. He's Stuart Dredge. I'm Joe Sparrow. Hi, Stu. How are you? I'm good. Very good. Wonderful to see you as ever. Now, this week, we wanted to put a whole episode aside, as we do sometimes for one topic. And it's something that's sort of crept up on the music business in the last few months. But it's already this year and near, well, it is a half billion dollar market.

0:39And yet it sort of is and sort of isn't part of the music business. If you haven't guessed it yet, it's prediction markets and particularly prediction markets based on music. If you don't know what that means, we will find out. And we will find out how you can get a slice of that sweet action. This is something we've written about a couple of times, and it's proven very popular, so we decided to chat about it a bit further. And to do that, we're going to flip the usual structure. And Stu, hi, Stu, is going to ask the questions, and I am going to answer them. Stu, fire away, please. I know. I get to relax.

1:11I'm going to say anything sensible, because you have all the knowledge in this thing.

1:14Stuart:I'm sweating bullets, I'll be honest. Well, this is fascinating, because to me, I didn't know anything about prediction markets until a few months ago, and now suddenly they're big. So can we start with the absolute baseline for someone who has no idea what a prediction market is and why it cares. So what are these things generally before we get to music? So they're sort of, well, think of them as apps in which you stake money and predict what's going to happen. Now, it sounds a little bit like gambling. It technically isn't, and we'll talk about that in a minute. But it's a place, generally an app or an online platform, where you trade money on the likelihood of real events happening.

1:49And those real events aren't just sport, as you might expect. They're pop culture, sports, geopolitics, economic data, literally anything. So it's being pitched as trading. But instead of buying stock in Disney or Apple or whatever, you're buying or selling shares in a future outcome. And every market is styled as a simple yes or no question. So it could be, for instance, will Taylor Swift release a new album this month? Yes or no. And you pick one side and you technically trade on it. And those are styled as contracts. You are not gambling. It's a contract. And the price of Will Taylor Swift releasing your album this month will be somewhere between$1 and$0.

2:42So$0 means it definitely doesn't happen, and$1 means it definitely does happen. So for instance, you or I could pose the question in the first place. So we could say, here's an idea, will Taylor Swift release a new album this month? And people can say yes or no on it. And then over time, as people stake their money on yes or no, it starts to deliver through that data a price. And that price might be 65 cents, for example, which means that collectively the market thinks there's a 65 % chance that Taylor Swift will release a new album. And then at a defined point, the end of the month, if Taylor Swift has released a new album and you bought into yes at the time when it was like 65 cents, she does release the album, your 65 cents becomes then worth a dollar.

3:33So you make 35 cents. If you bought in at 65 and she doesn't release an album, you lose that 65 cents. You're technically not losing it because it's not gambling, but it feels the same.

3:44Stuart:Right. And it's one of those things that, yeah, It's not gambling, but it's everything. It smells like gambling, looks like gambling, and feels like gambling. Yes. We'll get into that. I mean, so who are the big platforms in this space? Because I guess who is the Uber of this, or who are the kind of the big players doing this? And how did it actually work? Yeah, so there's two main prediction market apps. It's CalShe and Polymarket. If you're listening to this in the USA, this is old news. They are very, very big in the USA. And the reason for that, frankly, is because gambling has been very heavily restricted historically in the US.

4:24If you're listening in the UK, where gambling is extremely normalized, and probably everybody knows at least one person who has a gambling app on their phone and uses it regularly to bet on football, for instance, the USA is not like that. And Calci and Polymarket are the two biggest trading platforms, and they work in two slight different systems. Polymarket is, we're harking back to the glory days of crypto here. It is a crypto-powered platform. So it's based on the blockchain. You don't use, yeah, I'm afraid so. But it doesn't use traditional bank accounts. You have to switch your money into crypto, which are called stable coins.

5:05So they're linked exactly to the same price as a dollar. And then you use that crypto wallet to make your trades slash gambling. And because it's offshore and it's crypto, it's not really regulated by anybody. Totally good. And technically, you're not allowed to use it if you are US-based. But it is now launching into that market. Calshi, on the other hand, is that the platform works almost exactly the same, but it's regulated by the US Financial Commodity Futures Trading Commission. So it's legally a bit like the stock market. So it's regulated by them. And so you are like when you buy a stock.

5:54So if you're someone who buys a stock in Apple, you might be doing it for two reasons. You might be doing it because you think, okay, in 30 years, it'll be worth more. And I will have earned a lot of money in that time. It'll be good for me when I retire. That's one form of investing. The other form is I'm going to buy it now. They're going to release a new MacBook next week. Everyone's going to love that new MacBook. The price is going to jump up, and then I'm going to sell it and realize the difference between the price I paid and the price in a week's time. And that's a bit more like gambling.

6:25It's technically not gambling, but it's more like gambling. And that's the prediction market model, which is we think this thing is going to happen in this time frame, and if we're right, we'll make money. So that's regulated by the government agency around financial laws, but it is not regulated by the Gambling Commission because it is not gambling legally.

6:47Stuart:And I sense the amount of times you have to say that so far. This is obviously a point of discussion, which we'll get to, I think, later on. So can we get on to music then? Because obviously on these things, and I think I've seen Polymarket in the press for some big football bets. I've seen it for the, was it the one that was a controversy around people betting on when the US would invade Iran and that sort of thing? Yeah, so I mean, you've seen this. Yeah, exactly. You've seen this in the headlines. Literally, current events, but what are music prediction markets then? What are people kind of doing around music?

7:18Yeah, so if you look at an app, I'm looking at the website here, and there are many different areas in which you can find trades that you can stake your money on. If I go to the music page here, you've got, for instance, who will headline Lollapalooza Chicago 2026? And at the moment, 95 % of people, or 95 % chance, people generally think it's going to be Lord, the artist Lord. Doja Cat, I'm afraid, only has a 4 % likelihood. And so what, and another one here is, will Drake and Kendrick Lamar make a song together before 2030? That is the long game.

7:56Stuart:I see I'd be willing to take a punt on that, I think. I can see that being the next step in their narrative. But what do people think about that? Well, that's the thing, isn't it? That it does sound sort of plausible and sort of not plausible. And at the moment, there's not been a lot of people gambling on that one. Sorry, trading on that one. And it's about 50-50. Okay. So it's kind of telling in itself that people think, well, actually, it sounds like that could be possible. And you and I, having observed the music biz for a long time, would agree on that. It does kind of sound plausible, even though at the moment it doesn't.

8:31And this is the big tempting thing about this. It allows you to trade slash gamble on literally anything you think that you have a little bit of a competitive edge of insight or knowledge on.

8:43Stuart:Okay. So in terms of music, we're talking album releases. Will this release happen? Will this headliner festival happen? Yeah. And also, I've seen some things about betting on streaming numbers or betting on stats. Yeah, exactly. So at the top of the page here that I'm looking at, music charts, who will have a number one song on Spotify USA in June? And that one question alone has seen$669 ,000 staked on it. And at the moment, there's a 12 % chance the market thinks that Drake will, 11 % that Sabrina Carpenter will, 8 % that Olivia Dean will, and so on and so on. And so it's sort of, those are the big ones at the moment.

9:30Stuart:How much money do you think a number one track on Spotify USA in June would make from royalties? Possibly less than that money being staked on what it's going to be. Well, that's a great point. And that sort of is where the line gets a bit blurred here because you're sort of gambling on trading on data. and you can see in each of these questions the volume that's being traded and you know it's it's that's what i meant by the beginning where i say it sits on top of the music industry this is not really you couldn't go and manipulate very easily that the the streaming numbers on spotify i mean you could try but it would probably cost you more than you would win so it's sort of sitting on top of it so um it's it's hard to to be able to manipulate it but you could start making a lot more money based on music and and there was an interesting interview with um one of the key people from uh calci recently with with the billboard podcast and she said that So far in 2026, the volume, the amount of money in the market that has been staked on music is$400 million, which is huge.

10:45Stuart:Yeah. And this is a completely new thing. I mean, so this is sitting on top of the music business. It's not got any involvement really from rights holders. It doesn't need rights. It doesn't need anything. So what does it mean? how could it change things though for like labels for managers people in industry is there what should they be doing what does it mean for them or are they just kind of seeing it happen in distance and and understanding it but can they get involved what's going on there yeah it's tricky isn't it at the moment it really is sitting on the other side of the fence and is saying right we're we're looking at the music biz and we're us the people here are staking predictions on it and of course, the thing to remember is that Calci and Polymarket and these platforms don't act in the traditional way.

11:35Like if you go and place a bet with a bookmaker, they make the market, right? So they say, we're setting the odds of the likelihood. We'll take your money, we'll hold it and we'll give it to the people who win. That's not what's happening here. What's happening is that anybody can log in, create one of these predictions, and then anybody else can gamble that put their money into it. That money is held and then automatically redistributed to the winners, if you like, when that thing happens. So it's a bit peer-to-peer as opposed to betting against the house. So what does that mean for the music industry?

12:11Well, it means that the music industry is being observed in a new way. And this is one of the things that these platforms argue makes it a good thing. They're saying that if you want to predict what's going to happen in the world, whether that's about wars, financial markets, or who's going to be at number one in a week's time, these prediction markets, because people are staking actual money, you have to say, right, I believe in that to the value of 10 or 20 or$100. So I believe that Olivia Rodrigo is going to have number one, and you put your money in. So these are not just finger in the air estimates, it's what people really believe.

12:54and they're saying that this is a this is the biggest and most accurate collection of polling data of people on every topic including granular things like will drake release an album um and the wishful thinking fan brain drops away and the sort of very um uh sort of the part of the brain that says well actually i've got skin in the game so i don't want to lose here so the pragmatic brain takes over so they're saying that's their argument for it and and you may have seen if you've seen on tv that some news channels in the us like cnn are using this prediction data to sort of back up news stories particularly when it comes to politics okay so

13:41Stuart:i'm trying to think how i mean i guess in a music sense say you had a big artist with an album going up against olivia rodrigo's yeah but everyone on calci thinks olivia would be number one and yours won't, do you then go, well, maybe that's a strong signal we could move the release date? Like, is that the sort of thing? Yeah, absolutely. If people start paying attention to these views. But is it, to what extent is it still a niche? Like, are these mainstream people? Or is it just hardcore crypto gambler people? And is that a reflection of what's going to happen in music? Do they know what they're talking about?

14:11Stuart:It's not, it is mainstream. So, I mean, Polymarket is a little bit probably more geeky because it requires that transition of money to crypto, but that onboarding is made very, very easy. The Calchi one is just plug and play. You put your money into it like you would into an investment app, and you're away.

14:37Well, for instance, put it this way. As a size of its scale in terms of the user base, there was a prediction market predicting the opening song of Bad Bunny's Super Bowl halftime show. And the trade volume, the amount of money that was put into that. And so there was a list of songs. So which one is he going to start with? And you pick the one you think he's going to start with. Not the one you like best or want, but the one you think he's going to start with. And the trading volume was$110 million. So$110 million worth of money was put into that market of people who thought they knew what that first song was to try to win some back.

15:16So yes, the positive way of looking at this was if you are an artist, if you're working with an artist and you're trying to pick a release date, you could look at what releases people think with their sort of monetized prediction is going to happen in the rest of the year and you could sort of find a gap between that. You could even put your own poll prediction up there and say, hey, when do you think my artist is going to release that album?

15:41Stuart:Well, I was going to say, anyone can publish your question. So you could say, I don't know, say you're Bad Buddy's manager. You could say, what song will it be the first one on his tour set list and use that as market research? But I'll get on to some of the implications of that later that I've got. I've worried about that. Okay, so you could, it's basically you could see how people are perceiving the industry and what's going to happen, and you could do that. But does this mean, so people like us, people who are listening to this, so strong fans who have lots of knowledge or people in the industry who understand chart metric data and all those kind of sources can the likes of us legally use this to make money by putting our knowledge to use of these markets?

16:22Stuart:Is this what we're going to start to see happening? People who know stuff about music will go in there? Yeah, that's where it gets complicated. So insider trading is illegal but you can see how You can make a very, very small jump from saying, I'm going to do some market research to see when my album should go out, to what if I know when the album's going out, and I put a big stake on that month and make some money back. And this is what's happened with the military stuff, hasn't it? People are saying, well, hang on, who knew they were going to bomb Iran on this day, apart from these narrow group of people within the White House?

16:59Stuart:So who's betting on this? Exactly. So especially with the crypto-oriented ones, There is a sort of natural layer of anonymity in there to a certain extent. You have to set up a proper account that is sort of registered to you, but the crypto can come from anywhere and can move out quickly to anywhere. So yes, there were some sort of scandals where, I'm trying to think of the many countries that USA has invaded recently. Was it Venezuela? And someone, it turns out, in the military won a lot of money because they predicted it was going to happen, but they knew it was going to happen and they won hundreds of thousands of dollars.

17:40And I think in that case, I don't think they found out who it was but in terms of when Iran was invaded, somebody in the military was subsequently identified and they are now in serious trouble because that kind of insider trading is strictly illegal. That's national security as well, isn't it? That's national security. That's a double wagging.

18:00Stuart:Let's bring this to music though. So, okay, for example, there were probably four or five people at Universal Music Group who know if Taylor Swift is releasing a new album this year or not. There were probably four or five people at Apple who knew what the first song would be in the set list for the halftime Super Bowl show. There are probably, you know, there are people, and people at Spotify will know their stats. And these are all big public companies as well. So not just companies, but they're big companies who are regulated. So is there a risk here? I mean, could we see the risk of insider trading?

18:35Stuart:And what does that mean for those labels and companies if they're trying to keep secrets and keep release plans? Yeah, I mean, Kalshi is being very careful to say insider trading is strictly not allowed on their platform and it is strictly illegal in pretty much all markets. And they do work to an extent to weed those people out and stop them from doing it. and that is true but also in your example there if you knew if you know there's like you say there's there are trade secrets and there's a small number of people who know when these big things are going to happen so if you for instance knew when taylor swift's new album was coming out and if you had a couple of beers too many one night and that came out in conversation and someone heard that and then you know like there's where is the line between insider trading and loose lips and going up staking money on that in the past you might have tried to sell it to a journalist and get a few hundred dollars for your information now you could go on polymarket or couch and try and make a lot more money exactly and and that is that that's not inside of trading is it because you're not working for the company you just had a drunk person in a bar no so but so the but the drunk person in the bar could get into trouble and it's sort of it it it's very complicated so So those kind of things that used to be quite clear, like a lot of things in modern technology, are now much more complicated.

19:59So as another example, so yes, you could, if you wanted to, through somebody else or in an anonymized way, understand the data that you've got from inside your company. If it's about a big artist, someone else you could get to establish a question, you could get trading happening on it, you could make a lot of money because you know the right answer. That is illegal. it's um um not allowed by the platform but it feels quite hard to police and it also feels like when there's so many i mean there's hundreds of thousands of questions like that on these markets at the moment how do you police all that sounds like a quick way of making quite a lot of dirty money to me um but then think about this it's sort of the reverse way of of it working like that like if you knew your artist was going to release you're planning to release that album in january 2027 and then you saw in the prediction markets that people were kind of saying it's going to come out in december 2026 first of all would you move the album to release it in december when people think it's going to happen because that also might mean that they they want it they're invested in it they might go and buy the album and stream it and that's what's in their head because it feels right to them and you just pitched it wrong by a month so do you move it back and then if you do move it back you go and stake some money on it well I'm thinking

21:21Stuart:if I was Drake which I thought I often have could I swallow my pride give Kendrick a call say hey the price on Kaoshi of us doing a collaboration has now gone down to 20 0.2 so why don't we both stick two million dollars on record it and put it out next week and we'll make more from that bet than we will so we'll make more from that trade than we will from the record. I mean, this is like, I don't know. As an artist, seeing people make predictions of what you're going to do would make me want to either confound them or go, well, I can make some money here. Yeah, that's right. And there's the arguments.

22:02I mean, this is very complex, right? The arguments for this is that if you take the morally dubious stuff out of the equation for a second, you could say that this is a way for super fans who, like, they look at the social media of their favorite artists, they read all the forums and watch all the TikToks, they know the tour schedules. If this was the kind of thing you were into as an artist, you could say, well, you know, we're giving our super fans a chance to monetize that fandom. You could say, well, I know a bit better than anybody else what's going to happen. I'm going to make better predictions.

22:40That feels a bit morally greasy to me. but if you're a super fan of artists xyz you probably know what they're more likely to do than someone who doesn't and you could win a few uh predictions that way it's weird isn't it because

22:54Stuart:i think to me that the gray area here is like safer sport like i think there was a story this morning about someone bet a million dollars on polymarket that spain would beat cape verde yeah and lost it all and someone else bet like but for much less on on spain not winning and won millions of dollars. But that was a football match where there was no shenanigans. They couldn't, no one knew before the match what the outcome would be. So it is more of a prediction of something that no one, whereas all these music things, a lot of them, some people will know what's going to happen. And it just feels like it's very hard to not have some kind of room for shenanigans.

23:35Stuart:And also, traditionally, people have bet on sport because it's hard to predict. And that's also part of the reason when it has been allowed and regulated. That's why, because it's a game of quasi-chance, right? You would believe that Spain are going to beat Cape Verde, but there's a chance that they won't. And you can look at all the data, but it would be very hard to predict that Cape Verde would draw with Spain in the World Cup last week. And that is part of the complexity here, which is if your career in the music industry is reading Chartmetric data, and if those of you listening out there haven't used Chartmetric, it's an amazing resource that pulls in all the streaming data from all the different platforms and social media data, and you can see how well a song is performing or an artist at any given time.

24:25And marketers rely on it very strongly for looking for release dates, looking for where fan groups are and all that kind of stuff. If you can read that data really well, all of a sudden you could cross-reference that on one of these markets and say, oh, I've spotted a window where people think this, but actually I'm pretty sure it's going to be this because past data has proven it. Which is essentially what people in the financial industry do. They do that with stocks and massive data sets and try and get marginal gains of 2 % or 3 % to make a lot of money when they stake a lot of money. Is that the music industry?

25:01Well, maybe it is now, you know? maybe if I was if I was universal and let's take in let's take the pure illegal stuff out of the equation so I might know when an album's coming out but I can't stake on that because it is illegal but I'm also I've also got teams of people who are really good at reading chart metric data and predicting when artists for other labels for instance might do something so I could as someone working at Universal start staking money on the release schedules of artists for Warner to try and like, so let's say traditionally, if an artist on Warner releases an album the same week as your artist, they're going to take some of that streaming money away from your artist because they're taking it instead.

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25:43Well, now you could technically hedge against that as an insurance and say, right, I think the artist is going to release that same week as mine. If they do, I'm going to make as much money back from that trade as if they released their album and took it away from me.

25:56Stuart:But then if you did a different kind of trade and were like, I think they're going to have the most streams that week more than my artist, then you suddenly got this weird incentive to not promote your artist's album. It just feels like it's not necessarily shady on the part of the platform, but it feels like there is so much opportunity for shadiness, for conflicts of interest, even below the pure illegal insider trading. It just feels like a very morally gray area if you get involved with it as the music industry. Yes, and that's going to be quite difficult for the music industry to navigate because...

26:32Stuart:Well, morally gray areas. Famously morally upright. Is that what you mean? I know. I meant more in the decision-making around it because, look, it's a half-billion dollar... That$400 million volume of trading so far this year is only on Calci. So if we assume it's similar on Polymarket, we're probably looking this year at least a billion-dollar market of money being staked on music stuff. And by the way, this can be as niche and banal as Will Kanye West and Bianca Sensori, his partner, separate in 2026. So you've got all these music-adjacent things as well. So if we're looking at at least a billion-dollar market, well, let's say as a very rough figure, the entire music industry is a$60 to$70 billion market, right?

27:21So it's already representing a reasonable chunk of that. Now, you can't do insider trading because that's illegal. But it gets complex quickly. Your example back there of, like, if you were Universal, you could say, okay, I think that this other artist is going to release that album the same week as my artist. And then if they do, you lose money because you get less streaming numbers, but you make money back because they did what you thought, right? So that's complicated. There is the prediction element as well. You could say that the data generated by these markets could be incredibly valuable for executives because they're not lagging metrics, even like streaming data.

28:01They are future predictions that have money tied into them. There is this new form of engagement, passive consumption becoming high-stakes gamification. Fans aren't just listening to an artist.

28:18Stuart:They're rooting for its success on streaming platforms because they've got money into it, so they might want to stream it more. I can't, it didn't worry me that like, what I would hate, so when I go, whenever I ever bet on horse racing, I bet on the horse with a nice nose, I lose my money, and people who are proper gamblers and people who are horse racing insiders win my money because they know what they're doing. Is there a risk here that if just regular music fans go, I love my artists, I'm going to go and support them by placing a stake on this platform, they're going to lose their money and it goes to people who either have more knowledge.

28:56Stuart:It feels like it could be a way of sucking cash out of fans who don't get anything back from it. Yeah, that's right. And of course, that's a concern because while it is legally not gambling, it looks like gambling, smells like gambling and feels like gambling when you do it, and particularly when you win. And gambling is highly addictive and these apps and platforms look and feel like gambling apps to a large extent, even though my lawyers have asked me to stress they are not gambling apps. And, you know, yes, you could, you're ultra-gamifying, let's say, something which is highly sticky and then also involves your favourite artist and you have that emotional pull as well.

29:42And you see this with football teams, you know, like people are swayed to gamble on their team versus another one because they have this deep emotional connection, despite the fact that their team might not be very good.

29:52Stuart:I think Norwich can win the FA Cup next season. I'm fairly sure. But can we, I mean, this is my final question, really, because we said it looks like gambling, feels like gambling, but it's legally not gambling very carefully. So is that an established fact? Like you mentioned Kaushche is working with, is regulated by US authorities. Yeah. Is there a risk at some point of a big sledgehammer regulation coming down saying this is gambling and this whole market gets thrown into chaos? or is it going to stay legally not gambling and keep growing? If we're looking at what's your prediction for what happens?

30:28Stuart:Is there a danger that it all gets in the case when some regular goes, no, it is gambling, and we're going to come down like a ton of bricks? I am 80 cents on the dollar certain that this is going to be a high-growth thing for the foreseeable future. I don't think the current – this is very US-oriented, right? They're global, but it's very US-oriented, and it does feel like the current US regime is going to allow this to happen. One of the sons of the unmentionable president is, I think, on the board of one of these companies. Of course he is. There's definitely some sort of incentive there. And, you know, the very, very, very cynical side of me would say, well, look, if you were involved with politics and you wanted to influence future elections, this would be an excellent way of doing it because you could reasonably cheaply you know when you think about you've got advertising budgets of zillions of dollars in the u.s for elections you could use a relatively small amount of that to manipulate a question on the market these markets have you know around who's going to get elected that is then going to be presented as polling data on mainstream media and that then would plant a seed of doubt in people's minds or perhaps sway them to vote a certain way.

31:42So I think there's a lot of risks here in a wider geopolitical sense. And, you know, they're not going away in the short term. Some states in the US are trying to regulate them in different ways because of the similarity to gambling. You know, there is research to show that the impact of users of these prediction websites, Some gambling researchers are warning that the worst impact to these markets are exactly the same as gambling markets, which is addiction, financial devastation, breaking up families, and even suicide. So those risks exist in anything that people get hooked into, and people can get hooked into this.

32:30The future of it for the music industry is complex, but in a lighter sense, maybe there's a way that the music industry you could license its data to these platforms so people can sort of root through the data of it and pull some incentives out. So I'm sure anybody who's sitting on music data might want to... I was going to say, is this a business for Spotify, for example,

32:53Stuart:licensing its data to these companies? Yeah, I mean, it might want to do that quietly because it might not be a thing that gets it good headlines. But for sure, I mean, if what people are essentially trading on is the likelihood of something happening and the music industry is a highly data-oriented industry, then they're probably going to want to get access. The people who are seriously trying to make money are going to want to have access to data and look through it in certain ways to try and work these markets better. And this really is what it's all about. It's a very, very complex snapshot of where the world is right now.

33:35but then but then look at it in terms of if trying to be positive for a moment if you were planning on pressing up uh 20 000 copies of a vinyl release of an album and you saw that people were really excited about the release of a forthcoming album and they're staking money on it you might want to double those numbers to hit that wave that you didn't expect there's been plenty of big albums you know nirvana's album famously they printed 10 000 of them they were sold out instantly and there was a gap before they could press more of them and get them in the shops i mean you know there is an element here of like future forecasting that could actually be useful but then you know also the same token if you knew that was going to happen then maybe you want to

34:18Stuart:stick some money on it as well and make money twice i think that yeah it's do you know it's a weird thing i don't know it's it's happening obviously but i feel like i understand it now having asked you all these questions but i feel like i'm certainly no not thinking i'm gonna do that it sounds great for me it's almost more sure that i think i'm good without this thanks yeah i mean that's the thing isn't it i think for a lot of people like you and me we'll stick some money on one sporting event every year you know like like the world cup i might gamble a little bit and guess who's going to win the world cup or and that's a bit of that's kind of the fun end of gambling or the grand national famously in the uk everyone's that on the horse with the nicest face you cowards yeah or the jockey with the nicest clothing or whatever you know the funniest name or the name of your mum or whatever that's very different to this which is essentially what you identified which is people looking for margin like either looking for marginal percentage gaps between what they probably can judge from data will be reality versus what the great unwashed out there think, which is also kind of how the finance markets works.

35:26And then people who are just sort of obsessively looking for things to predict on, which also feels like gambling, which you can do on the finance markets as well. And, you know, just like, you know, it's again, it's a bit like music itself. We've always thought of music is pop music and songs are made and they go out like this and they make money like this. Well, actually now music is any kind of musical Lego block that you can use to put in another thing. And in the past, we only gambled on sports and now we can gamble on, let me see. Yeah. Well, like anything. So like, you know, who will be a featured artist on Ariana Grande's upcoming artist Petal?

36:06Currently at the moment, there's a 55 % chance it's Victoria Monet, FYI. And, you know, if that scratches your itch as an individual better, well, that particular market is only a$5 ,000 market at the moment, but there's a lot of markets that you can stick money on to try and see what happens. Goodness.

36:25Stuart:Well, I mean, like I say, it's fascinating because this, how long are these things? These things have been a thing for a while, but it's literally as a music story, it's what, a couple of months old? Yeah, the volume last year of trading on music was significantly lower, but this year, these apps have really exploded, and they opened up the music space, and there is a lot more now for people to gamble on, and people are doing it. I mean, 400 million on one app in six months alone is a huge amount of money. It's a heartwarming tale.

37:00We would actually love to hear what you think about this, because this is such an emerging market. We don't have a lot of user data about it, and I think you and me, Stu, We'd love to hear if anyone has actually put any predictions out there on what the experience is like. So please do email us, thepriceofmusicpodcast at gmail.com. We'd be absolutely fascinated to find out. In the lock-in, in a few moments, because this is the end of the Standard Podcast, there will be a quiz for Stu to see if he can guess what people are predicting on various music-based things. So stay tuned for that if you are a Price of Music superfan.

37:34We also have an update on Little Grandad, for those of you who have been asking. If you want to become a superfan, you can support us on Patreon. You can get this extra bit of the podcast every week. And you can gain access to that at patreon.com slash the price of music. And like I said, please do get in touch with us about absolutely anything we've discussed today around predicting music or your concerns about people predicting music or the new yacht you have bought by predicting when Drake will release his next album. Drop us a line at the price of music podcast at gmail.com. I've been Joe Sparrow.

38:09He's been Stuart Dredge. Thanks for joining us. You have been you. And we'll see you next time.

38:38Thank you.

From the publisher

Your weekly guide to the music biz and how it all works. This week, Stu and Joe focus on one very interesting and rapidly-developing story in the music biz...

Did you know that music fans and industry insiders have quietly built a massive half-billion-dollar market trading purely on pop culture gossip and chart data? Stuart and Joe take a deeper look at how prediction platforms saw a staggering $400 million staked on "music outcomes" on a single app alone in the first half of 2026. That includes a mind-boggling $110 million wagered by people just to guess what the opening song of Bad Bunny’s Super Bowl halftime show would be.

From fans turning passive streaming into high-stakes gamification to the legally murky waters of music industry insider trading, they talk about how (lots of) real cash is changing the way we forecast what's going to happen in the music business, including...

  • What are Prediction Markets anyway?: Online platforms where users buy and sell financial contracts based on the likelihood of real-world future outcomes.

  • Is it gambling or what?: Technically, no, but... The market has exploded into a multi-million-dollar sector in 2026, led by platforms like Kalshi and the crypto-powered Polymarket.

  • What could the music industry do with it?: platform, fan and release data could be used for future forecasting, such as assessing fan interest or adjusting album release dates.

  • Insider trading and addiction: The space introduces risks of insider trading from industry professionals who know when things are going to happen before the wider public – and presents addiction risks similar to traditional gambling.

And in the special post-show lock-in section just for our ⁠⁠Patreon Superfans⁠⁠, Stu and Joe prop themselves up at the bar – in this week's bonus material:

  • A long-awaited, much-requested Little Grandad Update: what are our indie heroes up to? Successful festival bookings, and a London residency await...

  • The Music-Prediction Prediction Quiz: Joe tests Stu on various active Kalshi markets, covering Spotify listener stats, album sales, and future album genres, including...

  • Which artist will have the highest monthly Spotify listener count by the end of June? What will Olivia Rodrigo's first-week chart sales data for her new album be? When will Selena Gomez debut a new song on Spotify? What will the musical style and genre of Beyoncé’s next studio project be?

    ===================================

    As ever, we welcome your feedback, emails and – in particular – any questions you might have about how the music biz works!

    Email us: ⁠⁠thepriceofmusicpodcast@gmail.com⁠⁠

    See you next week!

    Stuart and Joe

    ======

    TPOM online: http://tpom.uk/

    Support The Price of Music on Patreon:

    ⁠⁠https://www.patreon.com/ThePriceofMusic⁠⁠

    Follow Stuart on X - @stuartdredge

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