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Transcript March 13, 2026 · 10:30 PM

Featured Session: A Conversation With Spotify's New Co-CEO About The Past, Present And Future Of Delivering Creativity To The World

Gustav Söderström, Spotify's Co-CEO, reflects on Spotify's 20-year journey through three major 'mountains': solving music piracy through streaming, expanding into podcasts and audiobooks, and now building an AI-powered personalized platform. He introduces Spotify's new AI DJ, AI-generated playlists from natural language prompts, and a vision where every listener gets a uniquely personalized experience powered by large language models.

spotify music streaming podcasts audiobooks ai personalization creator economy platform strategy local maximum tech transformation
Key Takeaways
  1. 1Spotify uses the 'local maximum' concept from computer science — to reach the next peak, you must first walk down into the valley of uncertainty, which is why most companies stagnate.
  2. 2Spotify paid out over $50 billion to the music industry since launch, transforming piracy-era economics into a sustainable creator revenue model.
  3. 3The AI DJ feature combines generative AI with deep music knowledge to create a personalized radio experience that knows your taste better than any human DJ could.
  4. 4Spotify's next frontier is making every user experience unique — AI-generated playlists from natural language prompts ('dinner party music for people who love 90s hip hop') that never existed before.
  5. 5The company deliberately chose to cannibalize its own music-focused product to become a broader audio platform, accepting short-term pain for long-term positioning.
Full Transcript

A pretty big deal 20 years. And, you know, in tech, that's not just a long time, it's a life most companies don't really survive by. So today, I want to spend our time sharing a little bit about how we survive, what we learn, and, most importantly, where we're going next at Spotify, we often talk about mountains that we as a company try to climb, and there's this concept in computer science called a local maximum. So you climb the hill, you get to the top, and you feel great about yourself. You optimize your position, right?

But then you look up and you realize that you just got a small air the real manager, the global maximum, is way over there. The problem is that to reach that global maximum, you can't just keep walking up here. You first have to walk down it, back into the valley into uncertainty, and then you have to start climbing all over. Many companies die because they refuse to walk down that road. They sort of hide that they know.

What if I say today? Because multiple times we were willing to walk to the edge and jump into the unknown, the first mountain was access. So in 2006 when Spotify started, the competitor wasn't any tech giant, it was piracy. I grew up in Sweden, which at the time was basically a pirate behavior. The global record industry was collapsing in such a way that famously, a UK music industry executive, when he went to Sweden and met his Swedish counterpart, he looked at his piano, his coconut statement, and he said, That's not a business, my friend, that's a hobby.

The industry was in shackles, our founder, Danny Lake, he realized that you couldn't beat piracy with lawyers. You had to beat it with a better product. Piracy, I've only given people all the world's music for free, without ads, by the way, and with all my sake. But piracy set up one big block. It was a terrible user experience.

You have to search for a torrent. You remember those wavelengths several minutes, sometimes hours, depending on the modem you had, but then when you got it, you might have ended up with a mislabel track or actually just a computer bar. Happens to me a couple of times. So in product circles, where I come from, we're going to say that all truly great products, they need to pull up some sort of magic, something that was previously considered inconceivable. Our magic trick wasn't actually just giving people access to music.

As I said, I already done that. What we did was still latest those illusions. Illusion that you have downloaded all the world's music to your local hard rock so when you click the track, it's going to play in less than 200 milliseconds. So we essentially took the technology, the peer to peer technology, the power piracy, and we re engineered it to stay in the music industry and help artists get paid. Technology alone is seldom enough about to change the world.

So the other innovation that happened at the same time was a new business model user complete with piracy. Remember, piracy was free. This was ads Plus subscription, which we call premium. So by providing access and technology and an effective business model, we had managed to climb this first mountain, and Spotify was growing fast. So there we were.

We felt, honestly, pretty good about ourselves. We were at the top of the original mountain, the local maximum. Turned out the company was firing. But then the world changed. The smartphone run internally.

We call what happened next, the gazebo room in the summer of 2010 our small team was at a beautiful yellow Xavier the party was going to act. Our business model at the time was based on people using our three desktop app to compete with free piracy, loving it, and eventually pay for the privilege of syncing those files to their phones. But if you remember Merri meter, MER meters interference report had just come out, and data was irrefutable, smartphones there were about to outpace PC sales soon, so many users didn't even have that cost. And if they skip straight from Pirates of the mobile they hit a paywall, they would strike. And he went back to piracy.

So our business model was due and according to Mary Meeker, he had this three to four years doing that, a completely new one. So we walked down the first month. We shifted our focus from the Google Desktop space and went all in on mobile. But the problem we faced was, how do you give away the exact thing that you were driving for mobility without just filling your entire business so something else that is often talked about in tech circles, is you should follow your users, look at this data and see what they do. And it turned out that our mobile premium users, who have full on demand playback, they were still paying their playlist in shopping mode about 50% of the time.

This gave us an idea. We thought to ourselves, what if we could give away just the shuffle mode for free? And in 2013 we licensed, built and launched the first mobile app in the App Store where a user could create a playlist of any song they wanted, put their phone in their pockets and listen to that playlist. New shuffle mode for free forever. This makes for device world explode, pulling millions of people out of piracy and into pain for music.

So we have readjusted to first world, and with that, we have climbed the second month now, already, as we were scaling that second mountain, the mobile mountain, another massive shift was happening for the connected home and an explosion of hardware, the Alexa and the Google homes, right? And we realized that having a great mobile app alone wasn't going to DNI. So we had to make a contrarian bet on your big league at the time, conventional wisdom said that you should pick an ecosystem and then should build a wall garden around it, like Apple did with iOS. But we went the other way with a protocol called Spotify net. We decided that Spotify should go everywhere, in your car, your kitchen, your PlayStation, your TV.

We chose openness over locking. The bet was actually very painful, and it took a long time because we had to convince all the world's hardware manufacturers to implement our protocol, even though we were a tiny one series company at the time. But today, that bet compounds, because we have 2000 different hardware devices, and users are free to listen to the music on whatever combination of hardware they want. The next month, the fourth month was a variant of the follow your users estimate, but this time, still watching the users. We watched what all developers were doing with our product.

This is generally exemplary strategy, because these are often early adopters of new behavior, and they are in a rare position actually build what they want to see in the world, instead of just waiting for this exact reason. Sport has always had hack weeks where the entire company just pauses the usual day to day execution for broad and deep holding supplementation for the entire company, just to see what people what people want to do leverage the brain of 8000 smart people. And time and time again, we had seen our developers packing their podcast into their own Spotify as a company, we wanted to be more than music, but we weren't sure how. So we looked at the podcast industry, and you realize that it was just great content and amazing creators, many of them having deep conversation, which we felt was the perfect counter to the short educational media that was going on. But podcasts have been neglected for years, so we needed that, that it supported this market with people at the same at the same time.

Remember later we also noticed enterprising book publishers in Germany upload books, kind of disguised as music albums for but it was a terrible user experience if you skipped, if you were lucky to skip whole chapter, but it could also play shuttle modes, which is very weird. What was focused was that, despite the more experience, you just put the power in this case. So actually last on the inside look at this data, the product opportunities were pretty obvious. They were right there in front of us. But we have to think about how for both of these.

The conventional wisdom at the time told us and everyone else to get a separate app for podcasts and another one for those. That was just the way things were done. Remember the there's an app for that commercial. But we asked ourselves, why should the user? Have to adapt to that format by switching software.

Shouldn't the software adapt to the user instead? So you decided to instead build an adaptive user experience, one app with the interface dynamically shifted. It was a massive technical challenge that it allowed creators from from music and podcasts and book to cross pollinate audiences, and over time, hundreds of millions of users embrace proving us right. And of course, today, we aren't just a music company, we're an audio company, and people are listening more than ever. So now we really thought we were at the peak, but it turned out that the tallest mountain we've ever faced was vitals, generative AI.

Now there's a lot of noise, a lot of breathless uptakes, but as a technologist, here's the framework that I use. As I mentioned before, new technology is such a disruptive on its own, significant disruption happens when new technologies enable you asymmetric business models. So supported by didn't disrupt downloads just because of loaded business streaming, as I said, we disrupted them because we also introduced the ad supported subscription model. Similarly, it was a business model so Uber Airbnb that disrupted their spectrum industries, not just the technology alone. And if you look at the consumer space, we believe that the dominant business model will continue to be ads to a subscription.

In fact, you can already see the big AI labs adopting exactly this model. So this puts qualified in an outstanding position, because we already have the exact right business for this world. But from a product perspective, we actually think everything is going to change. User expectations of what software and services can and students should do for them are rapidly evolving for all of you on shore sitting there to chat GPT or progress, let me give you the real, deep impact. If you look at the history of the internet, Spotify started in what we call the era of curation.

Right users were organizing their friends and the tracks and their social networks of credit. And then we'll move to recommendation, but the algorithms did that work for you, and now we are entering age of generation where the consumer participates in a much bigger way. Most consumer products today, they still operate sort of like old school broadband, and I'm getting a technical guy when it comes to user input. So in old school broadband, you have lots of data on the downlink, sending the user videos and songs and feeds, but very narrow bandwidth on the uplink, so just a few swipes from the user click or something. So for companies like Spotify, we mostly have to guess what you want to hear based on whether you, for example, skip the fact then you think about that, did you skip it because you hate it or because you love it?

But you're at the gym and jazz isn't the right song. The algorithm is just a skip. It's very hard to interpret. It all looks the same. Generative AI changes this.

You cannot communicate back to the platform in rich natural language, in English, you can tell services which you actually want and what we think that the world will move away from these sort of past and single player experiences, these one way platforms where users just receive and receive and receive, to fully interact multiplayer platforms, this is where users will participate, interact with friends, artists and creators, and enjoy much more control than they have. So for our next mountain, we're building the world's first truly intelligent agentic media platform, one that you can literally talk, steer and control one way the algorithm works for you, instead of the other way around. We started this actually some time ago with the ai dj. Give me your personalized radios, and you can ask for whatever you want. I'm going for a run.

Give me an EDM playlist with big drops at 160 ppms to match my rankings, and then, recently, with tools like prompted playlist, you can literally write your own algorithm for playlist and then schedule that to update daily or weekly. So if you ever wanted playlist that, for example, takes all the music training on Tiktok consistence of your taste and then removes any track that you've already listened to. You can right now just go in and write that sentence. Are you tired of this? Fortified paintings is your favorite shaman, just because it was for the last three years?

I know I do sometimes. Just tell you about the room to avoid it. Avoid my main Shaman. This is the power of computers actually understanding English that they can finally understand here we think sports is uniquely positioned. The client does not and make this work for reality.

Because while llms, large language models are a key ingredient to making these possible general, avalanche are not enough, because llms are trained on facts. They know the capital of Texas, Dallas, right? But taste is not a fact. It's an opinion. If you ask a model for workout reason, for example, there is no canonical answer for someone in New York, it might be hip hop.

For someone in Western Europe, it's often again and Korean, a lot of Scandinavians, it's dead now. You need billions of constantly updated data points across amazonism users that do human curation to be able to map language to music in a deep and personal way. This is the data set that sport has been building for over a decade. But I also want to touch on the artist side of all of this change, because there's a lot of fear, and it is completely understandable. AI is a tool, no doubt, a very powerful one, and like any tool, it can be used in both really good and really bad ways.

As an example, in the early 2010s people weren't convinced that computers could be used to make music at all. But then it came from Sweden, named she used this lab or to change music forever, but music has never just been about the tools used to make it. Music is identity. When a teenager buys the t shirt at a concert, they aren't just buying clothing. They're buying something that tells the world who they are, what you belong to.

Ai cannot manufacture what it feels like to stand in a crowd of people who love an artist just the way you do. These moments of human connection, they transcend technology uncertainty. I firmly believe that any more generating content through human connection actually becomes more valuable, not less. And I'm not just making this up. We already see this play out in the more than one and a half billion dollars worth of consultators that we saw.

It's just growing in world of AI and personalization. Live events like come on we're at right now are bigger than they ever been, and they continue to grow. But we also believe that AI can create a lot of value for artists and the industry, and our job as Spotify is to ensure that the economics reflect that value, whether it's musicians and songwriters making original music or making letting fans remix and interact with their sitting IP. We're working with the music industry to make sure the right compensation frameworks are in place. We solve this with viruses, and we are going to solve it with AI, because at the end of the day, scholars mission is to deliver creativity to the world, one note, one voice, one idea at a time.

That's our commitment, and we believe that we're still in the early days of doing just that. Okay, so now you understand our journey. I'm excited to give you a first look at one of our next steps, Facebook. This new feature gives you, the user, a comprehensive look at just how exactly Spotify AI models your mistake across music podcast modules we think you are and more importantly, it helps you edit it directly. Here are some real examples from internal users.

One said, finally, I think that Spotify to just ignore those two artists that my kids always play, they used to ruin all my recommendations. Another example. These are new examples. When I was young, I used to be very big on possibilities, but after a lot of it, I just told Spotify to start putting a classical shelf on my homepage, which in turn made me start to lose weight. We're watching this and pay that in New Zealand soon.

But if you're a Spotify Premium user here today, scan the QR code behind me accesses. It's going to be very good. So 20 years have told us that every time we left the comfort of the local maximum, we took a jump, made another climb. The view from the New Beat was even better, but not just for Spotify, but for every creative industry that we built, every listener, every time. Thank you for joining me at the base camp of something new, and now I'm excited and privileged to invite lady Wilson and.

Stage for conversation on the many exciting things happening. All right, set up notes. Maybe you be welcome. All right, let's take a seat. Yes, perfect.

Thank you, sir. All right, I'm very excited for this discussion, but before we get into it, I just want to mention a couple of sentences on each of you. So lady, you have nearly 10 million monthly active users on Spotify. You have multiple number 100 hits. You want their CMAs ACM, pretty much done it all in usage.

But in addition to singing, and by the way, my life is a big fan, in addition to that, though, to sing it, you're also fulfill an entrepreneur, and you partner with native brands like Wrangler, who owns multiple businesses of your own, including your own fashion jewelry lines. And if I understand correctly, thank you for coming, David, you're a founding member of the code team at Google. We started 2004 he let us solve the climate cooperation in 2013 I think, and in 2016 he launched a production board which holds investments across tech, including agriculture, decompensation. You're the co founder and CEO of a genetics and you follow that, but I'm very happy about it, which consistently ranks as the top business and tech podcast. So welcome.

Thank you. Thank you for not making a political category podcast. All right, let's get into it, ladies, starting with you, Southwest is really about the intersection of culture and tech and people who live and work in a world where ideas and artists travel around the world instantly. And being here in Boston, I don't think anyone is surprised that counter music talks to the charts here. But all of you may not know is that counter music is one of the absolute fastest growing summers globally, and it's become hugely popular in markets from the UK to Australia, where you just back from, our data shows that four by four by you Yes.

So I would love to hear how you think about building an audience in 2026 and beyond, yeah, change and changing every single day. But for me, it is just connected as much as I possibly can with my touring, with just, I mean, whether it's releasing music touring, I put out a documentary here in April that's going to be on Netflix. I think that's going to be a good way for me to really stay connected with the fans that I've made, but also get to know some new ones. And we're also just always looking at the beta. We're just trying to see what's working, what's not working.

And for me, it has always been about that just family interaction be submitted correctly to them. And so whether that's face to face or to the camera, that seems to be the thing that works for me. So it's just about connecting as I as much as I possibly can. And you know, cutting through a lot of the ones can I ask you, I told you when we spoke backstage here that country music is big globally. But more than that, almost Texas country is big globally.

Land man is one of the top stories in Sweden. What is it about country music and Texas? It is growing and blows my mind, because every single opportunity I get to go across the pond to play music. People are singing every word. They're wearing their cowboy hats.

We're gonna get you a cowboy hat and some cowboy boots too, and you too. We're here in Austin. That's what I'm doing. But I really do think that. Well, I'm partial, but I think country music is a very special genre.

I think that it takes you home when you are nowhere near it. I think it's about that storytelling. I think everybody's a good sucker for a good story, and if you're not, I'm confused, but I think that's what it is. It's just people are craving often. Authenticity, and I think country music offers that authenticity is key.

My kids told me it's not as well. All right, David Allen is one of the most popular podcasts in the world. The show name is a hat tip to the poker games and one conversation that you and your colleagues were already having, right? And on this show, there's a lot of time spent on Eva's interests, but you still have a very quickly growing global audience. Were you surprised by that?

And was that your intention? Well, we didn't have much of an intention. They were very randomized, random situation that the podcast came out of covid on Zoom, I would say the original conversations were all about the tech industry, business markets, what's going on? How are we all reacting to and responding to the change in the world around us? How crazy is this?

Shit was kind of like a pretty common theme during covid. And you know, what should we do? What could we do? So I think for anyone working in the tech industry or starting a company or investing around the world, it became, you know, something to listen to. Lot of people described it, hold it like being a fly on the wall.

There were people just literally having a conversation about these topics. And I think that's kind of why it resonated globally. There are investors, startup founders, builders, Texas, anything that inspired you with this? I don't know if there was any other such the concept of this recording in general conversation. Did you find the wall?

No, that wasn't the design of the show. I think there wasn't much of the design, because the one guy wanted to be interviewed by the other guy every week. That was the original show concept. And then they kept talking about finding time to go in the studio to do that show, and they couldn't find the time to go into the studio do that show. And then covid hit.

They were all stuck at home, and they're like, Hey, let's get on Zoom and talk to each other and put that out as the show. And they asked me to join for the first episode, so I did, talking about covid and tech science and what was going on. And so that's how the show started. So there was no design, and I think that may be why it worked, because it's also like there was no real reason that we would care whether it succeeded or not, and so we just maybe didn't give a shit enough, and you just do what comes natural and what feels right, and then it just kind of worked. So for both of you, AI is obviously transforming creative industries right now, opening up huge possibilities, but also raising some big concerns.

So I'd love to hear about what you do. This means New York Times as some artists and creative if you saw you, Megan, you mentioned backstage that you and your team are building your own AI, impersonation, Detective detection system. Talk to us a little bit about that for sure, sure. Well, I'll just first say that I think that technology has has done a lot for the music business. I think that it has always pushed creativity forward.

But I will say it is a scary world we live in, because you just never know how they're going to use your face or your voice. And the truth is, like we're just talking about that genuine connection, it's really important for me to feel like anytime my fans see something that they feel like it is really like evils, and saying it to them, I want them to feel like that they can trust me. I have partnered with a company called Looney that is constantly working on pulling down these imposters or these social media posts, whatever it is that is not coming from me or my team, and that is a full time job at this point, and it is really, really crazy. And the scary thing is, is even when your family members think it's actually you, you're like, Oh Lord, they're getting really good at this. But, but, yeah, we have, we have found a team of people who are taking serious just like you are.

And I just want to keep that, that relationship with my fans, the way that, the way that I wanted to be genuine and pure and authentic you're coming into this. But I suspect that every creator is going to want something like this, and maybe eventually every human, as we go into this world where it's always understand, it's probably to understand, if you can actually trust David, you're the president, it's a very broad topic, but if you just pick what the documents are you most excited about? So have you transition in AI can be sort of like an up leveling of creative potential. I'll just start with that statement. There's certainly risks associated with impersonation and theft of IP and whatnot, which I think will get worked out as it was YouTube and Spotify in the early days.

Then we'll get there. But I got my first Macintosh computer where six. Years old, the Macintosh original, and I was on that computer learning how to use MAC Paint. And eventually I got to go to Photoshop. I was doing graphic design at the age of 11 or 12 as a service to people.

I got making money, making business cards and flyers and stuff. And so I was early on when Kai's power tools came out. Does anyone remember that? No one in this room that is so depressing. Okay, there's a couple, but Adobe Photoshop, right?

You can put like images on and edit them and manipulate them, and power tools have these filters. And you would do a filter to the image, and it was like, Holy crap. You could make the image sharper, you could make it blur. You could do all. You can create depth.

You can do all these things that people were like, That's cheating. Like, that's not fair. Like, how can you do that? You're the cameraman supposed to do that, or the guy who learned how paintbrush is the one who should be doing that. And so there's always and then later on, I did, like, you know, made techno music.

Don't make fun of me for it. But, you know, you and I talked about, I used to have, like, a Juno 106, TV 303, and then I got all the synthetic sequencers on my computer, and there were all these plugins that came out, and the plugins became, I mean, just like a music industry today, it was a question of, like, Are you cheating? Like, is that really fair? And what ended up happening is creators, whether graphic creators or music creators found extraordinary ways to leverage these new tools to create new soundscapes, new visual features, new types of film. Today in Hollywood, a lot of the production houses are and I've spent some time with some of these companies, they're using like second units to do fully AI rendered like second units, unit.

So the cost comes down, but the stuff you can do goes up by, like, 100x because you couldn't, you didn't have the budget to go and, like, recreate a trading floor from the 1970s and now you can do an AI in a couple of minutes. And so the creator, the director, has this ability to make a landscape that they otherwise wouldn't have the ability to make. And so I think that there's a leveling up that's happening in terms of what creators can do, and we're just starting to see people tinker with these things, and the stuff that I've seen, especially in video, and I'm sure over time, we'll see more and more happen in music. It's just incredible. So I think that the second big wave that's probably still to come is non linear content.

And what I mean by that is, like today, whether it's a video or music track, you just press play and it goes linearly from beginning to end. I think that creators are going to unlock like in video games, the ability to maybe have some difference in how that track plays or how that movie plays out. Whether it's like, click and choose your own adventure, which I think may be a little annoying to consumers, or it's like, what if you could listen to your favorite house music track and make it a little bit faster, little bit cooler, a little bit shorter, add some vocals, add some jazz, but the Creator, not the user, but the Creator can set all those parameters. So now the creator is almost like coming up with all these ideas, but in different dimensions of how they can create music. And if you don't have to have one final track, and you can say, hey, we could make a couple different ways that this track can play out, and then the actual playback for the consumer, whether it's in a video or in music, could be a little bit different.

And so I think we're likely going to see like, progressive creators come up with incredible ways of using these tools and these capabilities, where people are going to be watching movies differently. Like, hey, we all watch the same show, but I saw a little different view that you saw, like I saw from the bad guys view you saw from the good guys view, or we all track a little bit differently. So that's the sort of stuff that I think would be really cool with the AI unlocked sort of different experience. So as the creator and control search on these guys, I creator, if there was a framework for your fans to be able to work with the music, where everyone was greatly compensated, because it is your music, for sure, I think it's fun to be creative, but, you know, I think, Like, that's why I started doing this to begin with. So I would love for my fans to be able to do something, if it's fair for the person who wrote it, proposed it, created it.

I'm down for that. I want everybody to be able to like color outside of the lines and try new things. So like I said, if people are compensated for it, Hell yeah. Hell yeah. Well, okay, are you guys doing anything like this?

It's fun. Well, I'm looking at my comments. There is this one feature working on that touches on this that absolutely love, which people have been asking for forever. So you know, in movies, you have like, I am the game. You can go in and see, like, who's the director, who's producer.

You're really nerd up in music, that hasn't often been the case. You often know who the performer is, but most people have no idea who wrote it or produced it. So this is leaked a little bit already, but we are. We're rolling out this. This feature called Song DNA, where we meticulously go through to understand exactly who played a role on each song.

You can see that song writer actually like that sample is actually from this original song. So we'll see, I think, and I think it's really important that there are all these creators around the performance that there are that's something I'm very excited. It's really odd. That. Okay, all right, another question for both of you, the CEO, if environment.

Now for both of you as the old my partner, Alex and I have stepped into the roles of those deals. We're spending a lot of time talking with artists, with podcast creators and with authors. I love the books. I'm very excited about this all around the world, and one of my favorite questions is, what can be building for you as a creator or as a user, by the way, yeah, well, into speaking and as a creator and a user, I think would be cool to build something based off of demons that day, you know? Because, I mean, the truth is that we're all going through something at different times, and it'd be really cool for my fans to feel like that day that they were going through something hard.

I was speaking directly to them, that they didn't have to, like, listen through the whole album to figure out, like, Which song is resonating with them for that specific thing that they're going through. So very cool. So you were like, That's interesting. You can So, I mean, you could go into a Spotify and type in a little down here from your fans, because there are so many of them in some sort of aggregated way. Yes, I think that would be cool too, to know how your fans are feeling, too.

I mean, so many different people from so many walks of life have like, it's crazy the story that people and telling me, but one of the three lines for me that I've noticed this evening in meet and greets is they are willing to share like where they are in life and where they are going through and so I don't know, just be able to, like, cater to that even more, to even just have, like, a deeper connection like that with your family. Because my goal always is for them to feel like I'm speaking to them in their story, in their life. But if they're going through something, and I'm singing a song about, let's have a part, you know? I mean, they might not, that might not be the thing that helps them get through it, the musician, you only get data on how many plays there were and what the average listen kind of was, that's that's all the only feedback you get. It's true.

Yeah, you do get statistics about who is listening, ages and where they listen. You can find your tours, but you're completely right. You have no idea how they're feeling and looking at AI. I just talked about how AI allows people to speak in English at scale. That is a really cool thing, to actually understand more about their demographic.

Well, a couple years ago, there was a guy who took all of our episodes, like, right when AI was kind of getting going, and he ingested them all, and then he created, like an AI character with each of the four of us, and then it was like, each of the four of us said a bunch of stuff, and it was so bullshit, like that sounded awful. He's gotten so much better now. But then someone else made a chat interface where you could ask each of those questions they could answer, as if it was trained on the data from our show. And it was like, Wait, that's actually kind of interesting. Like, very often I'm trying to find something that I heard on another show, like Friedman organ or something.

I'm like, Where was that? And so to find what was said by guests, or find really guests and protection was very hard. Today I got to go, like to YouTube and do transcript search. Or nowadays, I can do Gemini, and Gemini like, search through all the transcript data for me and pull stuff out. But I think every podcaster should have the opportunity to create like Lex chat, or Joe chat, or something where you as a user who's a big fan of the podcast, like, the thing I realized about podcasting is it's people want to, like, get really developed.

They come to these live events. Like, we've been on a live event with like, 1000s of people in LA every year. We've got one here tomorrow night. And they want to, like, absorb more the content, get into the community. Applicant.

Engage, engage, engage, because that particular content vertical is something they're really into. So to have a chat interface where I could ask Joe Rogan questions like, Hey, Who was your favorite guest? Which was the craziest shit you ever heard. You know, tell me about that guy that talked about, like there were pyramids under the ocean and we found them. Like, who was that guy?

I would love to be able to have that dialog with my podcast that I love. I think that would be a really cool feature. You guys can train it off on the transcript data, and theoretically, you could actually make the audio sound like the host. And I could have a dialog through the Spotify app and all of these that creates more engagement for you guys, and all of the I should be your kind of product. So yeah, anyway, because I would love to chat with Lex Friedman and then be like, Hey, tell me about that great Hancock interview.

And then our users could just ask David to talk to digital I got enough of that. But I do worry about, certainly, this thing of, like, digital representation. It's gonna happen. It's happening to a point, and they get it better. They get an opt in.

Yeah, people that I think, I think podcasters are different than these issues. So podcasters are creating content. They're not creating these, like, you know, tracks, the songs that are kind of their product out, but they want to protect the value of the song and so on. Podcasters more content they're creating, I think the more engagement they get, the more depth they get. So there's something about re engaging in that content that actually brings a lot of value for the podcaster.

And it doesn't need to be pure it doesn't need to be how I said the thing at the time. I said it per se, but generally, like, the things I said, like, I'd be fine for AI chat interface. Just be trained on that and want to answer questions. Interesting when music is interesting as a content category because it has so much repeat testing, people listen the same track hundreds, 1000s of times. But in podcasts, you mostly don't the same episode again.

This would be a great value from the back catalog as well, right? But people do listen to the back catalog, like acquired Rogan Lex, like some of these are very timeless episodes, because they're interview shows with someone on particular topic. And so, like, I mean, you know the stats on acquire business podcast, once people listen to an acquired podcast, they go back and listen to the whole brain library, and they're like, this show's awesome. I wasn't all of these, and there's a bunch of pods like that. So I think to have some sort of engagement mechanism around that stuff could be very cool.

Okay, we got some product ideas. My first virus here, amazing lady, you're not just an artist, you're also founder and investor of fashion, jewelry and gaming. So we talked about how you think about your arts career, but how do you think about building a business alongside your music career? Well, like I said earlier, I just really like to be creative, and I want to make sure that my parents feel like they've been they can like that into the work of my music as much as I possibly can or as much as I want to. And, you know, I look out at my shows and I'm seeing people who dress just like me, wearing the bell bottoms in their hats and the jewelry.

And this is it. Yeah, we should have put you in some Bill bottoms too. But, yeah, it's just another way for me to connect with my people and with my fans, and, like I said, for them to be able to, like, live in that world as much as they want to. And it's fun. You know, when you're all under like, the same roof and you're like, looking out there and everybody kind of looks like you, it's a especially like with a little girls and stuff, it makes me feel like, man, like, I better watch what I do and say, because I have a lot of little people watching me.

But also it, it gives me this sense of just like responsibility. To feel like, okay, I need to be a leader. I need to, like, set an example. And yeah, it's a good feeling. It's a good feeling to I feel blessed with like have this platform and be on that stage, and I just Yeah, I want people to feel like they know me.

I want to feel like I know them. But we spoke backstage for so long, I did not have any opportunity at all. I've been at this a long time. I've been living in Asheville for 15 years, and the first 10 I should have packed up, I went home, but I just couldn't. This is the only thing I know how to do.

It's the only thing I want to do is just to tell stories. And yeah, I feel like the last few years have just been such a blessing to me and my life and my team, like I have finally found the right people to surround myself. With that understand my vision and don't want to change me for anything, and if anything, they just want to elevate me and get me to that next step. And it's getting really fun now. So now we have all these opportunities.

There's only so many hours in the day, but I do want to take them all. You know, if it feels right and it feels like it's going to move the needle, then let's do it. You told me you're from this tiny, tiny town 170 and you moved pretty further on. Yes, I did. I'm from Baskin, Louisiana, a little town of 170 people.

I'm very proud where I come from, but honestly, I compare. I was telling you this in the room too, that I compare a lot of what I do to what my dad does. My dad is a farmer, and he farms corn, wheat, soybeans, oats, and gets up every day and busts his tail doing it, and he does the same thing every single day. I mean, it looks a little bit different for me every day. But, um, you know, at the end of the day, it's your livelihood, if it's in you, then you just get up and you do it.

A storm could roll through, and you just get up and do it anyway. So I call myself a song farmer, amazing. Amazing. David spoken is a big movement podcast in 2019 and you and your girls started, as you said, during covid in 2020 Could you talk a little bit to us about the growth and evolution that you've seen and sort of where you think it's going next? You mentioned some of the ideas you have.

But what do you see podcasting? Well, podcasting kind of became what blogging used to be. Everyone that had blogs prior to that, everyone so in the business world, like, if you've got, you know, I think one of the problems is a lot of this stuff got solid, and maybe we're part of this problem as well. But like people selling shit, like, like, I'm trying to like people doing podcasts because they're trying to, like, heighten their profile because they have stuff to sell. I don't know if that intention really resonates and works.

Well, maybe, maybe we're part of maybe we should be blamed for that as well, I don't know, but I feel like there's an aspect of that where, like, everyone's got podcasts now, and the market will sort itself out. People listen to what they want to listen to and stuff for. So it's very crowded. It's very noisy out there. And I think to some extent, we're seeing folks step it up, right?

So the visual stuff matters a lot, I think more than people are realizing, but a lot of the stuff will hold its own as audio. But Chris Williams said, I don't know if you guys know that this guy is podcaster. He did anyone see the episode? They built a set on the same kind of sound stage and set stage that they use for the Mandalorians, like this LED wall that, like, wrapped around it's so and they built Interstellar, like the guy's house with Interstellar, with the trailer and the driveway. It's freaking insane.

I recommend you watch it on YouTube, just to see what they built. The YouTube thing, I'm so sorry. I so this is why I think the video on Spotify doesn't matter a lot, because I do think a lot of the folks are differentiating by improving the quality of the video content. And it's not just me having a chat and then obviously the podcasts are more creative, like all the murder crime industry stuff. It's so cool, like it's a totally different level.

It's not just someone sitting at the table having a conversation. Joe Rogan can hold his own having a conversation for two hours, and we'll get great content. But most people cannot. Most people need it. So the good creator they're gonna need to go to, like murder crime history, that might be a better format.

So I think there's a lot of this differentiation that's going to start to happen, which, by the way, will like it fundamentally improve the quality of the experience that the consumers, the listeners are like, the viewers are like, this is awesome. Now, like that Matthew McConaughey episode, visually, it's just like, I don't care what McConaughey is saying, this is just so cool. Pretty cool. And ask you, one of the things that I think people like about listening to you numbers is that you have a positive view of the future. And there's a lot of stuff here right now, and you're going to start a podcast.

Well, we'll see. But I do think the thing that troubles me the most is just kind of how techno pessimistic we are, right? And I think, like, everyone's just like ai humorism, like AI is the most unfavorable thing right now in the country. There's some survey that came out it was like Iran, like Iran is more favorable than AI. Like, the sort of thing that happened where AI just became the new like, whether it was climate change or.

Or whatever, there's always this, like looping threat that we latch on to. And I think we've had this, like this shift in our psyche, particularly in the West, meaning the US and Western Europe, probably since the 1970s like 1969 we landed on the moon and we had Woodstock that same summer, and I think that was the summer when we became techno pessimists, where we were like, worried about chemicals in our water, radiation killing us. Nuclear energy could burn, melt down and wipe us. Nuclear bombs are overhead. So we simply became way more concerned about tech.

But if you look at like, how tech is progressing, human lifespan, human health span, how many hours people have to work, the number of hours that people have to work is going down the quality of life. I know a lot of people are struggling. Still in America, there's a lot of less behind differences in what's going on, but a lot of people are moving up the ladder because of the advances in technology. We all got a freaking super computer in our pocket. There's just so much that I think we take for granted.

And when I look at the technology that's being developed and is like real today, and I think about, holy shit, what this is going to do tomorrow? Like, we're all going to live forever. We're going to have free friggin energy. We're going to be in flying cars moving around the point, like, oh, wait, finally, forever. They launched yesterday.

They got FAA certified yesterday, by the way, nobody did. So these are the sorts of things that are happening that I think don't get enough attention. And we spend all this time thinking about how we're going to die and what's going to kill us and what's coming next, and we don't talk enough about how exciting tomorrow is going to be. And so I want to kind of change the message a little bit and spend some time on it. And that's kind of why I do this show.

It's why I do and considering doing the pre show, which will just be focused on the science and tech of tomorrow, and just kind of get deeply excited about it, that's great. I do think it's important. Everyone can follow along with that future, especially, for example, in music, but I'm very positive. I will say one more. I think the fear of tomorrow is what makes everyone turn against each other, because as soon as you're about tomorrow, you have a reason to blame someone around you, and that's why we are all like this all the time.

And I think it's very bad. It's very unhealthy. Go to a dark place. And so I want to all be optimistic about tomorrow and be realistic, but be optimistic about tomorrow. That's why it didn't matter.

Okay? I could keep talking about him forever, but Thank you so much for coming. Thank you so yeah, I Guess you have A better How about.

Source: stt · Language: en · Model: claude-opus-4-6
1 00:00:00,240 --> 00:00:01,020 Unknown: A pretty big deal 2 00:00:02,820 --> 00:00:06,420 20 years. And, you know, in tech, that's not just a long 3 00:00:06,420 --> 00:00:07,800 time, it's a life 4 00:00:08,880 --> 00:00:10,800 most companies don't really survive by. So 5 00:00:12,120 --> 00:00:16,020 today, I want to spend our time sharing a little bit about how 6 00:00:16,020 --> 00:00:20,180 we survive, what we learn, and, most importantly, where we're 7 00:00:20,180 --> 00:00:20,780 going next 8 00:00:22,400 --> 00:00:26,960 at Spotify, we often talk about mountains that we as a company 9 00:00:26,960 --> 00:00:30,920 try to climb, and there's this concept in computer science 10 00:00:30,980 --> 00:00:35,720 called a local maximum. So you climb the hill, you get to the 11 00:00:35,720 --> 00:00:39,200 top, and you feel great about yourself. You optimize your 12 00:00:39,200 --> 00:00:40,220 position, right? 13 00:00:41,300 --> 00:00:44,380 But then you look up and you realize that you just got a 14 00:00:44,380 --> 00:00:48,520 small air the real manager, the global maximum, is way over 15 00:00:48,520 --> 00:00:48,820 there. The 16 00:00:50,500 --> 00:00:55,180 problem is that to reach that global maximum, you can't just 17 00:00:55,180 --> 00:00:58,840 keep walking up here. You first have to walk down it, back 18 00:00:59,860 --> 00:01:01,980 into the valley into uncertainty, and 19 00:01:03,240 --> 00:01:05,100 then you have to start climbing all over. 20 00:01:06,900 --> 00:01:09,720 Many companies die because they refuse to walk down that road. 21 00:01:10,380 --> 00:01:11,880 They sort of hide that they know. 22 00:01:13,440 --> 00:01:17,340 What if I say today? Because multiple times we were willing 23 00:01:17,580 --> 00:01:19,980 to walk to the edge and jump into the unknown, 24 00:01:21,480 --> 00:01:23,600 the first mountain was access. 25 00:01:24,680 --> 00:01:30,020 So in 2006 when Spotify started, the competitor wasn't any tech 26 00:01:30,020 --> 00:01:31,880 giant, it was piracy. 27 00:01:33,320 --> 00:01:36,500 I grew up in Sweden, which at the time was basically a pirate 28 00:01:36,500 --> 00:01:36,920 behavior. 29 00:01:38,240 --> 00:01:43,000 The global record industry was collapsing in such a way that 30 00:01:43,000 --> 00:01:47,680 famously, a UK music industry executive, when he went to 31 00:01:47,680 --> 00:01:51,400 Sweden and met his Swedish counterpart, he looked at his 32 00:01:51,400 --> 00:01:55,120 piano, his coconut statement, and he said, That's not a 33 00:01:55,120 --> 00:01:56,740 business, my friend, that's a hobby. 34 00:01:57,940 --> 00:01:59,260 The industry was in shackles, 35 00:02:00,700 --> 00:02:04,140 our founder, Danny Lake, he realized that you couldn't beat 36 00:02:04,140 --> 00:02:05,580 piracy with lawyers. 37 00:02:06,780 --> 00:02:08,940 You had to beat it with a better product. 38 00:02:11,039 --> 00:02:14,639 Piracy, I've only given people all the world's music for free, 39 00:02:15,059 --> 00:02:17,219 without ads, by the way, and with all my sake. 40 00:02:18,960 --> 00:02:23,180 But piracy set up one big block. It was a terrible user 41 00:02:23,180 --> 00:02:23,780 experience. 42 00:02:24,860 --> 00:02:27,140 You have to search for a torrent. You remember those 43 00:02:27,620 --> 00:02:30,680 wavelengths several minutes, sometimes hours, depending on 44 00:02:30,680 --> 00:02:34,340 the modem you had, but then when you got it, you might have ended 45 00:02:34,340 --> 00:02:37,160 up with a mislabel track or actually just a computer bar. 46 00:02:37,220 --> 00:02:38,480 Happens to me a couple of times. 47 00:02:40,040 --> 00:02:43,060 So in product circles, where I come from, we're going to say 48 00:02:43,120 --> 00:02:45,940 that all truly great products, they need to pull up some sort 49 00:02:45,940 --> 00:02:49,300 of magic, something that was previously considered 50 00:02:49,420 --> 00:02:50,140 inconceivable. 51 00:02:51,580 --> 00:02:54,880 Our magic trick wasn't actually just giving people access to 52 00:02:54,880 --> 00:02:57,220 music. As I said, I already done that. 53 00:02:58,420 --> 00:03:01,060 What we did was still latest 54 00:03:02,260 --> 00:03:05,340 those illusions. Illusion that you have downloaded all the 55 00:03:05,340 --> 00:03:08,040 world's music to your local hard rock so 56 00:03:09,060 --> 00:03:12,480 when you click the track, it's going to play in less than 200 57 00:03:12,900 --> 00:03:13,560 milliseconds. 58 00:03:14,820 --> 00:03:18,240 So we essentially took the technology, the peer to peer 59 00:03:18,240 --> 00:03:22,280 technology, the power piracy, and we re engineered it to stay 60 00:03:22,280 --> 00:03:24,920 in the music industry and help artists get paid. 61 00:03:27,320 --> 00:03:30,380 Technology alone is seldom enough about to change the 62 00:03:30,380 --> 00:03:33,560 world. So the other innovation that happened at the same time 63 00:03:33,920 --> 00:03:37,940 was a new business model user complete with piracy. Remember, 64 00:03:37,940 --> 00:03:38,780 piracy was free. 65 00:03:40,340 --> 00:03:45,280 This was ads Plus subscription, which we call premium. So by 66 00:03:45,280 --> 00:03:49,060 providing access and technology and an effective business model, 67 00:03:49,540 --> 00:03:52,420 we had managed to climb this first mountain, and Spotify was 68 00:03:52,420 --> 00:03:52,960 growing fast. 69 00:03:54,160 --> 00:03:57,100 So there we were. We felt, honestly, pretty good about 70 00:03:57,100 --> 00:03:57,520 ourselves. 71 00:03:59,140 --> 00:04:00,900 We were at the top of the original mountain, 72 00:04:01,920 --> 00:04:03,300 the local maximum. Turned out the 73 00:04:04,500 --> 00:04:09,540 company was firing. But then the world changed. The smartphone 74 00:04:09,540 --> 00:04:09,720 run 75 00:04:11,100 --> 00:04:14,220 internally. We call what happened next, the gazebo room 76 00:04:15,180 --> 00:04:19,080 in the summer of 2010 our small team was at a 77 00:04:21,779 --> 00:04:22,879 beautiful yellow 78 00:04:26,780 --> 00:04:27,200 Xavier 79 00:04:28,880 --> 00:04:30,260 the party was going to act. 80 00:04:31,880 --> 00:04:35,540 Our business model at the time was based on people using our 81 00:04:35,540 --> 00:04:36,440 three desktop app to 82 00:04:37,460 --> 00:04:41,380 compete with free piracy, loving it, and eventually pay for the 83 00:04:41,380 --> 00:04:43,480 privilege of syncing those files to their phones. 84 00:04:44,980 --> 00:04:48,760 But if you remember Merri meter, MER meters interference report 85 00:04:48,760 --> 00:04:53,080 had just come out, and data was irrefutable, smartphones there 86 00:04:53,080 --> 00:04:57,100 were about to outpace PC sales soon, so many users didn't even 87 00:04:57,100 --> 00:04:57,700 have that cost. 88 00:05:00,960 --> 00:05:04,320 And if they skip straight from Pirates of the mobile they hit a 89 00:05:04,320 --> 00:05:07,200 paywall, they would strike. And he went back to piracy. 90 00:05:08,760 --> 00:05:10,320 So our business model was due and 91 00:05:11,460 --> 00:05:15,300 according to Mary Meeker, he had this three to four years doing 92 00:05:15,300 --> 00:05:16,320 that, a completely new 93 00:05:18,720 --> 00:05:19,860 one. So we walked down the first 94 00:05:21,120 --> 00:05:24,620 month. We shifted our focus from the Google Desktop space and 95 00:05:24,740 --> 00:05:25,820 went all in on mobile. But 96 00:05:27,260 --> 00:05:31,940 the problem we faced was, how do you give away the exact thing 97 00:05:31,940 --> 00:05:35,840 that you were driving for mobility without just filling 98 00:05:35,840 --> 00:05:36,680 your entire business 99 00:05:38,600 --> 00:05:42,100 so something else that is often talked about in tech circles, is 100 00:05:42,460 --> 00:05:43,720 you should follow your users, 101 00:05:44,920 --> 00:05:46,420 look at this data and see what they do. 102 00:05:48,340 --> 00:05:52,120 And it turned out that our mobile premium users, who have 103 00:05:52,420 --> 00:05:55,780 full on demand playback, they were still paying their playlist 104 00:05:55,780 --> 00:05:59,800 in shopping mode about 50% of the time. This gave us an idea. 105 00:06:01,060 --> 00:06:05,280 We thought to ourselves, what if we could give away just the 106 00:06:05,280 --> 00:06:06,300 shuffle mode for free? And 107 00:06:08,160 --> 00:06:08,640 in 2013 108 00:06:09,720 --> 00:06:14,700 we licensed, built and launched the first mobile app in the App 109 00:06:14,700 --> 00:06:17,880 Store where a user could create a playlist of any song they 110 00:06:17,880 --> 00:06:21,380 wanted, put their phone in their pockets and listen to that 111 00:06:21,380 --> 00:06:24,680 playlist. New shuffle mode for free forever. 112 00:06:26,000 --> 00:06:29,300 This makes for device world explode, pulling millions of 113 00:06:29,300 --> 00:06:32,120 people out of piracy and into pain for music. 114 00:06:33,380 --> 00:06:37,940 So we have readjusted to first world, and with that, we have 115 00:06:37,940 --> 00:06:39,320 climbed the second month 116 00:06:41,060 --> 00:06:43,960 now, already, as we were scaling that second mountain, the mobile 117 00:06:43,960 --> 00:06:47,620 mountain, another massive shift was happening for the connected 118 00:06:47,620 --> 00:06:50,740 home and an explosion of hardware, the Alexa and the 119 00:06:50,740 --> 00:06:51,580 Google homes, right? 120 00:06:52,600 --> 00:06:55,660 And we realized that having a great mobile app alone wasn't 121 00:06:55,660 --> 00:06:56,320 going to DNI. 122 00:06:57,820 --> 00:07:01,920 So we had to make a contrarian bet on your big league at the 123 00:07:01,920 --> 00:07:05,400 time, conventional wisdom said that you should pick an 124 00:07:05,400 --> 00:07:08,520 ecosystem and then should build a wall garden around it, like 125 00:07:08,520 --> 00:07:09,360 Apple did with iOS. 126 00:07:10,920 --> 00:07:15,240 But we went the other way with a protocol called Spotify net. We 127 00:07:15,300 --> 00:07:18,840 decided that Spotify should go everywhere, in your car, your 128 00:07:19,620 --> 00:07:24,080 kitchen, your PlayStation, your TV. We chose openness over 129 00:07:24,080 --> 00:07:24,440 locking. 130 00:07:26,420 --> 00:07:29,000 The bet was actually very painful, and it took a long time 131 00:07:29,000 --> 00:07:31,880 because we had to convince all the world's hardware 132 00:07:31,880 --> 00:07:34,640 manufacturers to implement our protocol, even though we were a 133 00:07:34,640 --> 00:07:38,360 tiny one series company at the time. But today, that bet 134 00:07:38,360 --> 00:07:42,220 compounds, because we have 2000 different hardware devices, and 135 00:07:42,220 --> 00:07:45,760 users are free to listen to the music on whatever combination of 136 00:07:47,860 --> 00:07:51,640 hardware they want. The next month, the fourth month was a 137 00:07:51,640 --> 00:07:55,480 variant of the follow your users estimate, but this time, still 138 00:07:55,480 --> 00:07:58,840 watching the users. We watched what all developers were doing 139 00:07:58,840 --> 00:08:01,800 with our product. This is generally exemplary strategy, 140 00:08:02,160 --> 00:08:05,700 because these are often early adopters of new behavior, and 141 00:08:05,700 --> 00:08:08,700 they are in a rare position actually build what they want to 142 00:08:08,700 --> 00:08:10,260 see in the world, instead of just waiting 143 00:08:11,640 --> 00:08:15,600 for this exact reason. Sport has always had hack weeks where the 144 00:08:15,600 --> 00:08:18,720 entire company just pauses the usual day to day execution for 145 00:08:19,020 --> 00:08:21,300 broad and deep holding supplementation for the entire 146 00:08:21,300 --> 00:08:25,040 company, just to see what people what people want to do leverage 147 00:08:25,040 --> 00:08:29,900 the brain of 8000 smart people. And time and time again, we had 148 00:08:29,900 --> 00:08:32,960 seen our developers packing their podcast into their own 149 00:08:32,960 --> 00:08:33,440 Spotify 150 00:08:35,420 --> 00:08:39,080 as a company, we wanted to be more than music, but we weren't 151 00:08:39,080 --> 00:08:39,380 sure how. 152 00:08:40,400 --> 00:08:42,940 So we looked at the podcast industry, and you realize 153 00:08:45,520 --> 00:08:49,000 that it was just great content and amazing creators, many of 154 00:08:49,000 --> 00:08:51,760 them having deep conversation, which we felt was the perfect 155 00:08:51,760 --> 00:08:54,640 counter to the short educational media that was going on. But 156 00:08:56,020 --> 00:09:00,180 podcasts have been neglected for years, so we needed that, that 157 00:09:00,480 --> 00:09:02,880 it supported this market with people 158 00:09:05,100 --> 00:09:07,800 at the same at the same time. Remember later we also noticed 159 00:09:08,040 --> 00:09:12,000 enterprising book publishers in Germany upload books, kind of 160 00:09:12,000 --> 00:09:16,500 disguised as music albums for but it was a terrible user 161 00:09:16,500 --> 00:09:20,480 experience if you skipped, if you were lucky to skip whole 162 00:09:20,480 --> 00:09:24,200 chapter, but it could also play shuttle modes, which is very 163 00:09:24,200 --> 00:09:24,440 weird. 164 00:09:26,720 --> 00:09:29,540 What was focused was that, despite the more experience, you 165 00:09:29,600 --> 00:09:30,800 just put the power in this case. 166 00:09:32,180 --> 00:09:34,700 So actually last on the inside look at this data, the product 167 00:09:34,700 --> 00:09:36,680 opportunities were pretty obvious. They were right there 168 00:09:36,680 --> 00:09:39,140 in front of us. But we have to think about 169 00:09:41,120 --> 00:09:43,660 how for both of these. The conventional wisdom at the time 170 00:09:43,660 --> 00:09:47,620 told us and everyone else to get a separate app for podcasts and 171 00:09:47,620 --> 00:09:50,500 another one for those. That was just the way things were done. 172 00:09:51,460 --> 00:09:53,980 Remember the there's an app for that commercial. 173 00:09:56,320 --> 00:09:59,920 But we asked ourselves, why should the user? 174 00:10:00,000 --> 00:10:03,660 Have to adapt to that format by switching software. Shouldn't 175 00:10:03,660 --> 00:10:05,220 the software adapt to the user instead? 176 00:10:06,780 --> 00:10:10,680 So you decided to instead build an adaptive user experience, one 177 00:10:10,680 --> 00:10:14,100 app with the interface dynamically shifted. It 178 00:10:15,900 --> 00:10:18,900 was a massive technical challenge that it allowed 179 00:10:18,900 --> 00:10:21,980 creators from from music and podcasts and book to cross 180 00:10:21,980 --> 00:10:25,940 pollinate audiences, and over time, hundreds of millions of 181 00:10:25,940 --> 00:10:27,500 users embrace proving us right. 182 00:10:28,580 --> 00:10:31,880 And of course, today, we aren't just a music company, we're an 183 00:10:31,880 --> 00:10:36,020 audio company, and people are listening more than ever. So now 184 00:10:36,380 --> 00:10:40,900 we really thought we were at the peak, but it turned out that the 185 00:10:40,900 --> 00:10:45,820 tallest mountain we've ever faced was vitals, generative AI. 186 00:10:47,200 --> 00:10:52,300 Now there's a lot of noise, a lot of breathless uptakes, but 187 00:10:52,300 --> 00:10:54,940 as a technologist, here's the framework that I use. 188 00:10:56,380 --> 00:10:59,980 As I mentioned before, new technology is such a disruptive 189 00:10:59,980 --> 00:11:03,420 on its own, significant disruption happens when new 190 00:11:03,420 --> 00:11:07,920 technologies enable you asymmetric business models. So 191 00:11:07,920 --> 00:11:11,220 supported by didn't disrupt downloads just because of loaded 192 00:11:11,220 --> 00:11:14,460 business streaming, as I said, we disrupted them because we 193 00:11:14,460 --> 00:11:18,180 also introduced the ad supported subscription model. Similarly, 194 00:11:18,180 --> 00:11:22,400 it was a business model so Uber Airbnb that disrupted their 195 00:11:22,400 --> 00:11:24,920 spectrum industries, not just the technology alone. And 196 00:11:26,420 --> 00:11:29,540 if you look at the consumer space, we believe that the 197 00:11:29,540 --> 00:11:33,560 dominant business model will continue to be ads to a 198 00:11:33,560 --> 00:11:34,220 subscription. 199 00:11:35,240 --> 00:11:38,840 In fact, you can already see the big AI labs adopting exactly 200 00:11:38,840 --> 00:11:39,320 this model. 201 00:11:40,460 --> 00:11:43,780 So this puts qualified in an outstanding position, because we 202 00:11:43,780 --> 00:11:46,660 already have the exact right business for this world. 203 00:11:48,520 --> 00:11:52,480 But from a product perspective, we actually think everything is 204 00:11:52,480 --> 00:11:53,080 going to change. 205 00:11:54,460 --> 00:11:58,060 User expectations of what software and services can and 206 00:11:58,060 --> 00:12:01,740 students should do for them are rapidly evolving for all of you 207 00:12:01,740 --> 00:12:04,500 on shore sitting there to chat GPT or progress, 208 00:12:06,720 --> 00:12:08,100 let me give you the real, deep impact. 209 00:12:09,660 --> 00:12:12,480 If you look at the history of the internet, Spotify started in 210 00:12:12,480 --> 00:12:15,180 what we call the era of curation. Right users were 211 00:12:15,240 --> 00:12:18,300 organizing their friends and the tracks and their social networks 212 00:12:18,300 --> 00:12:22,280 of credit. And then we'll move to recommendation, but the 213 00:12:22,280 --> 00:12:23,900 algorithms did that work for you, 214 00:12:25,100 --> 00:12:29,540 and now we are entering age of generation where the consumer 215 00:12:29,660 --> 00:12:31,580 participates in a much bigger way. Most 216 00:12:33,140 --> 00:12:36,620 consumer products today, they still operate sort of like old 217 00:12:36,620 --> 00:12:40,040 school broadband, and I'm getting a technical guy when it 218 00:12:40,040 --> 00:12:43,120 comes to user input. So in old school broadband, you have lots 219 00:12:43,120 --> 00:12:46,360 of data on the downlink, sending the user videos and songs and 220 00:12:46,360 --> 00:12:50,200 feeds, but very narrow bandwidth on the uplink, so just a few 221 00:12:50,200 --> 00:12:52,240 swipes from the user click or something. 222 00:12:53,560 --> 00:12:57,700 So for companies like Spotify, we mostly have to guess what you 223 00:12:57,700 --> 00:13:01,140 want to hear based on whether you, for example, skip the fact 224 00:13:01,860 --> 00:13:05,280 then you think about that, did you skip it because you hate it 225 00:13:05,880 --> 00:13:09,840 or because you love it? But you're at the gym and jazz isn't 226 00:13:09,840 --> 00:13:13,260 the right song. The algorithm is just a skip. It's very hard to 227 00:13:13,260 --> 00:13:14,820 interpret. It all looks the same. 228 00:13:16,320 --> 00:13:17,880 Generative AI changes this. 229 00:13:18,900 --> 00:13:22,220 You cannot communicate back to the platform in rich natural 230 00:13:22,220 --> 00:13:26,780 language, in English, you can tell services which you actually 231 00:13:26,780 --> 00:13:27,740 want and what 232 00:13:29,300 --> 00:13:31,700 we think that the world will move away from these sort of 233 00:13:31,700 --> 00:13:34,100 past and single player experiences, these one way 234 00:13:34,100 --> 00:13:37,100 platforms where users just receive and receive and receive, 235 00:13:38,060 --> 00:13:42,400 to fully interact multiplayer platforms, this is where users 236 00:13:42,400 --> 00:13:46,060 will participate, interact with friends, artists and creators, 237 00:13:46,480 --> 00:13:48,460 and enjoy much more control than they have. 238 00:13:50,020 --> 00:13:53,380 So for our next mountain, we're building the world's first truly 239 00:13:53,380 --> 00:13:56,980 intelligent agentic media platform, one that you can 240 00:13:56,980 --> 00:14:00,040 literally talk, steer and control 241 00:14:01,240 --> 00:14:04,620 one way the algorithm works for you, instead of the other way 242 00:14:04,680 --> 00:14:04,920 around. 243 00:14:06,720 --> 00:14:10,080 We started this actually some time ago with the ai dj. Give me 244 00:14:10,140 --> 00:14:13,140 your personalized radios, and you can ask for whatever you 245 00:14:13,140 --> 00:14:18,480 want. I'm going for a run. Give me an EDM playlist with big 246 00:14:18,480 --> 00:14:21,620 drops at 160 ppms to match my rankings, 247 00:14:23,060 --> 00:14:26,660 and then, recently, with tools like prompted playlist, you can 248 00:14:26,660 --> 00:14:30,020 literally write your own algorithm for playlist and then 249 00:14:30,020 --> 00:14:32,480 schedule that to update daily or weekly. 250 00:14:33,920 --> 00:14:38,960 So if you ever wanted playlist that, for example, takes all the 251 00:14:38,960 --> 00:14:42,280 music training on Tiktok consistence of your taste and 252 00:14:42,280 --> 00:14:45,040 then removes any track that you've already listened to. You 253 00:14:45,040 --> 00:14:47,980 can right now just go in and write that sentence. 254 00:14:49,780 --> 00:14:52,180 Are you tired of this? Fortified paintings is your favorite 255 00:14:52,180 --> 00:14:55,180 shaman, just because it was for the last three years? I know I 256 00:14:55,180 --> 00:14:58,000 do sometimes. Just tell you about the room to avoid it. 257 00:14:58,780 --> 00:14:59,800 Avoid my main Shaman. 258 00:15:00,720 --> 00:15:04,080 This is the power of computers actually understanding English 259 00:15:04,320 --> 00:15:05,940 that they can finally understand here we 260 00:15:07,740 --> 00:15:10,740 think sports is uniquely positioned. The client does not 261 00:15:11,340 --> 00:15:12,780 and make this work for reality. 262 00:15:13,800 --> 00:15:17,820 Because while llms, large language models are a key 263 00:15:17,820 --> 00:15:22,160 ingredient to making these possible general, avalanche are 264 00:15:22,160 --> 00:15:22,640 not enough, 265 00:15:23,900 --> 00:15:27,620 because llms are trained on facts. They know the capital of 266 00:15:27,620 --> 00:15:28,340 Texas, 267 00:15:29,540 --> 00:15:30,020 Dallas, right? 268 00:15:33,800 --> 00:15:36,440 But taste is not a fact. It's an opinion. If 269 00:15:37,580 --> 00:15:40,660 you ask a model for workout reason, for example, there is no 270 00:15:40,660 --> 00:15:44,140 canonical answer for someone in New York, it might be hip hop. 271 00:15:44,140 --> 00:15:49,240 For someone in Western Europe, it's often again and Korean, a 272 00:15:49,240 --> 00:15:51,280 lot of Scandinavians, it's dead now. 273 00:15:52,960 --> 00:15:56,560 You need billions of constantly updated data points across 274 00:15:56,620 --> 00:16:00,780 amazonism users that do human curation to be able to map 275 00:16:01,140 --> 00:16:05,400 language to music in a deep and personal way. This is the data 276 00:16:05,400 --> 00:16:08,280 set that sport has been building for over a decade. 277 00:16:10,740 --> 00:16:13,740 But I also want to touch on the artist side of all of this 278 00:16:13,740 --> 00:16:13,980 change, 279 00:16:15,240 --> 00:16:19,020 because there's a lot of fear, and it is completely 280 00:16:19,140 --> 00:16:19,920 understandable. 281 00:16:21,360 --> 00:16:26,060 AI is a tool, no doubt, a very powerful one, and like any tool, 282 00:16:26,240 --> 00:16:29,540 it can be used in both really good and really bad ways. 283 00:16:30,800 --> 00:16:34,940 As an example, in the early 2010s people weren't convinced 284 00:16:34,940 --> 00:16:38,720 that computers could be used to make music at all. But then it 285 00:16:38,720 --> 00:16:41,320 came from Sweden, named she used this lab or to change music 286 00:16:41,320 --> 00:16:41,620 forever, 287 00:16:43,960 --> 00:16:46,960 but music has never just been about the tools used to make it. 288 00:16:47,740 --> 00:16:49,060 Music is identity. 289 00:16:50,380 --> 00:16:53,980 When a teenager buys the t shirt at a concert, they aren't just 290 00:16:53,980 --> 00:16:57,220 buying clothing. They're buying something that tells the world 291 00:16:57,220 --> 00:16:58,780 who they are, what you belong 292 00:17:00,100 --> 00:17:03,840 to. Ai cannot manufacture what it feels like to stand in a 293 00:17:03,840 --> 00:17:06,660 crowd of people who love an artist just the way you do. 294 00:17:06,660 --> 00:17:06,840 These 295 00:17:08,220 --> 00:17:10,740 moments of human connection, they transcend technology 296 00:17:10,980 --> 00:17:11,760 uncertainty. 297 00:17:13,560 --> 00:17:17,940 I firmly believe that any more generating content through human 298 00:17:17,940 --> 00:17:23,000 connection actually becomes more valuable, not less. And I'm not 299 00:17:23,000 --> 00:17:26,480 just making this up. We already see this play out in the more 300 00:17:26,480 --> 00:17:29,000 than one and a half billion dollars worth of consultators 301 00:17:29,000 --> 00:17:30,800 that we saw. It's just growing 302 00:17:32,120 --> 00:17:35,120 in world of AI and personalization. Live events 303 00:17:35,480 --> 00:17:38,420 like come on we're at right now are bigger than they ever been, 304 00:17:38,780 --> 00:17:39,860 and they continue to grow. 305 00:17:42,740 --> 00:17:46,300 But we also believe that AI can create a lot of value for 306 00:17:46,300 --> 00:17:50,440 artists and the industry, and our job as Spotify is to ensure 307 00:17:50,440 --> 00:17:52,180 that the economics reflect that value, 308 00:17:53,380 --> 00:17:55,960 whether it's musicians and songwriters making original 309 00:17:55,960 --> 00:17:59,500 music or making letting fans remix and interact with their 310 00:17:59,500 --> 00:18:03,240 sitting IP. We're working with the music industry to make sure 311 00:18:03,240 --> 00:18:05,340 the right compensation frameworks are in place. 312 00:18:06,540 --> 00:18:09,960 We solve this with viruses, and we are going to solve it with 313 00:18:10,020 --> 00:18:10,080 AI, 314 00:18:11,940 --> 00:18:16,740 because at the end of the day, scholars mission is to deliver 315 00:18:16,740 --> 00:18:17,640 creativity to the 316 00:18:18,720 --> 00:18:21,860 world, one note, one voice, one idea at a time. 317 00:18:22,880 --> 00:18:26,480 That's our commitment, and we believe that we're still in the 318 00:18:26,480 --> 00:18:27,740 early days of doing just that. 319 00:18:29,480 --> 00:18:33,080 Okay, so now you understand our journey. I'm excited to give you 320 00:18:33,080 --> 00:18:36,140 a first look at one of our next steps, Facebook. 321 00:18:37,340 --> 00:18:41,080 This new feature gives you, the user, a comprehensive look at 322 00:18:41,500 --> 00:18:46,360 just how exactly Spotify AI models your mistake across music 323 00:18:46,360 --> 00:18:50,920 podcast modules we think you are and more importantly, it helps 324 00:18:50,920 --> 00:18:52,720 you edit it directly. 325 00:18:53,740 --> 00:18:57,340 Here are some real examples from internal users. One said, 326 00:18:57,520 --> 00:19:01,080 finally, I think that Spotify to just ignore those two artists 327 00:19:01,440 --> 00:19:04,020 that my kids always play, they used to ruin all my 328 00:19:04,020 --> 00:19:04,800 recommendations. 329 00:19:09,180 --> 00:19:12,840 Another example. These are new examples. When I was young, I 330 00:19:12,960 --> 00:19:15,480 used to be very big on possibilities, but after a lot 331 00:19:15,480 --> 00:19:19,200 of it, I just told Spotify to start putting a classical shelf 332 00:19:19,200 --> 00:19:22,160 on my homepage, which in turn made me start to lose weight. 333 00:19:23,900 --> 00:19:27,440 We're watching this and pay that in New Zealand soon. But if 334 00:19:27,440 --> 00:19:30,680 you're a Spotify Premium user here today, scan the QR code 335 00:19:30,680 --> 00:19:31,100 behind me 336 00:19:32,900 --> 00:19:37,760 accesses. It's going to be very good. So 20 years have told us 337 00:19:37,760 --> 00:19:41,140 that every time we left the comfort of the local maximum, we 338 00:19:41,140 --> 00:19:44,980 took a jump, made another climb. The view from the New Beat was 339 00:19:45,040 --> 00:19:48,760 even better, but not just for Spotify, but for every creative 340 00:19:48,760 --> 00:19:51,820 industry that we built, every listener, every time. 341 00:19:53,200 --> 00:19:55,600 Thank you for joining me at the base camp of something new, 342 00:19:56,800 --> 00:19:59,740 and now I'm excited and privileged to invite lady Wilson 343 00:19:59,740 --> 00:19:59,920 and. 344 00:20:00,720 --> 00:20:03,720 Stage for conversation on the many exciting things happening. 345 00:20:03,720 --> 00:20:04,200 All right, set 346 00:20:14,700 --> 00:20:15,900 up notes. Maybe you 347 00:20:20,000 --> 00:20:20,420 be welcome. 348 00:20:27,620 --> 00:20:28,940 All right, let's take a seat. 349 00:20:32,660 --> 00:20:33,620 Yes, perfect. 350 00:20:39,860 --> 00:20:40,360 Thank you, sir. 351 00:20:42,520 --> 00:20:46,420 All right, I'm very excited for this discussion, but before we 352 00:20:46,420 --> 00:20:50,080 get into it, I just want to mention a couple of sentences on 353 00:20:50,080 --> 00:20:53,860 each of you. So lady, you have nearly 10 million monthly active 354 00:20:53,860 --> 00:20:58,000 users on Spotify. You have multiple number 100 hits. You 355 00:20:58,000 --> 00:20:59,920 want their CMAs ACM, 356 00:21:01,180 --> 00:21:05,400 pretty much done it all in usage. But in addition to 357 00:21:05,400 --> 00:21:07,080 singing, and by the way, my life is a 358 00:21:09,000 --> 00:21:12,300 big fan, in addition to that, though, to sing it, you're also 359 00:21:12,300 --> 00:21:15,780 fulfill an entrepreneur, and you partner with native brands like 360 00:21:15,780 --> 00:21:18,000 Wrangler, who owns multiple businesses of your own, 361 00:21:18,240 --> 00:21:22,220 including your own fashion jewelry lines. And if I 362 00:21:22,220 --> 00:21:23,900 understand correctly, thank you for 363 00:21:30,320 --> 00:21:30,860 coming, 364 00:21:32,420 --> 00:21:35,660 David, you're a founding member of the code team at Google. We 365 00:21:35,660 --> 00:21:39,920 started 2004 he let us solve the climate cooperation in 2013 I 366 00:21:39,980 --> 00:21:43,960 think, and in 2016 he launched a production board which holds 367 00:21:43,960 --> 00:21:46,540 investments across tech, including agriculture, 368 00:21:47,440 --> 00:21:51,340 decompensation. You're the co founder and CEO of a genetics 369 00:21:51,820 --> 00:21:53,020 and you follow that, but 370 00:21:55,120 --> 00:21:58,240 I'm very happy about it, which consistently ranks as the top 371 00:21:58,240 --> 00:22:01,140 business and tech podcast. So welcome. Thank you. Thank you 372 00:22:01,140 --> 00:22:03,720 for not making a political category podcast. 373 00:22:06,000 --> 00:22:08,160 All right, let's get into it, ladies, 374 00:22:09,840 --> 00:22:12,660 starting with you, Southwest is really about the intersection of 375 00:22:12,660 --> 00:22:16,200 culture and tech and people who live and work in a world where 376 00:22:16,200 --> 00:22:20,300 ideas and artists travel around the world instantly. And being 377 00:22:20,300 --> 00:22:23,240 here in Boston, I don't think anyone is surprised that counter 378 00:22:23,240 --> 00:22:27,560 music talks to the charts here. But all of you may not know is 379 00:22:27,560 --> 00:22:30,680 that counter music is one of the absolute fastest growing summers 380 00:22:30,680 --> 00:22:34,640 globally, and it's become hugely popular in markets from the UK 381 00:22:34,760 --> 00:22:39,320 to Australia, where you just back from, our data shows that 382 00:22:39,380 --> 00:22:40,360 four by four by you Yes. 383 00:22:43,480 --> 00:22:45,940 So I would love to hear how you think 384 00:22:49,120 --> 00:22:50,320 about building an audience 385 00:22:51,460 --> 00:22:51,940 in 2026 386 00:22:55,480 --> 00:22:56,140 and beyond, yeah, 387 00:23:02,560 --> 00:23:04,080 change and changing every single day. 388 00:23:05,280 --> 00:23:09,660 But for me, it is just connected as much as I possibly can 389 00:23:11,100 --> 00:23:13,140 with my touring, with 390 00:23:14,220 --> 00:23:19,680 just, I mean, whether it's releasing music touring, I put 391 00:23:19,680 --> 00:23:24,380 out a documentary here in April that's going to be on Netflix. I 392 00:23:24,380 --> 00:23:26,900 think that's going to be a good way for me to really stay 393 00:23:26,900 --> 00:23:30,260 connected with the fans that I've made, but also get to know 394 00:23:30,500 --> 00:23:34,100 some new ones. And we're also just always looking at the beta. 395 00:23:34,280 --> 00:23:37,220 We're just trying to see what's working, what's not working. And 396 00:23:37,220 --> 00:23:41,440 for me, it has always been about that just family interaction be 397 00:23:41,500 --> 00:23:46,420 submitted correctly to them. And so whether that's face to face 398 00:23:46,720 --> 00:23:51,520 or to the camera, that seems to be the thing that works for me. 399 00:23:51,520 --> 00:23:55,600 So it's just about connecting as I as much as I possibly can. And 400 00:23:55,600 --> 00:23:58,060 you know, cutting through a lot of the ones can I ask you, 401 00:23:59,320 --> 00:24:02,640 I told you when we spoke backstage here that country 402 00:24:02,640 --> 00:24:06,420 music is big globally. But more than that, almost Texas country 403 00:24:06,420 --> 00:24:09,420 is big globally. Land man is one of the top stories in Sweden. 404 00:24:09,720 --> 00:24:11,640 What is it about country music 405 00:24:16,320 --> 00:24:18,900 and Texas? It is growing and blows my mind, because every 406 00:24:18,900 --> 00:24:20,420 single opportunity I get to 407 00:24:21,500 --> 00:24:25,760 go across the pond to play music. People are singing every 408 00:24:25,880 --> 00:24:28,520 word. They're wearing their cowboy hats. We're gonna get you 409 00:24:28,520 --> 00:24:32,300 a cowboy hat and some cowboy boots too, and you too. 410 00:24:34,340 --> 00:24:35,900 We're here in Austin. That's what I'm doing. 411 00:24:37,280 --> 00:24:40,460 But I really do think that. Well, I'm partial, but I think 412 00:24:40,460 --> 00:24:45,040 country music is a very special genre. I think that it takes you 413 00:24:45,040 --> 00:24:48,220 home when you are nowhere near it. I think it's about that 414 00:24:48,280 --> 00:24:51,220 storytelling. I think everybody's a good sucker for a 415 00:24:51,220 --> 00:24:56,260 good story, and if you're not, I'm confused, but I think that's 416 00:24:56,260 --> 00:24:57,400 what it is. It's just 417 00:24:58,720 --> 00:24:59,920 people are craving often. 418 00:25:00,000 --> 00:25:02,760 Authenticity, and I think country music offers that 419 00:25:04,380 --> 00:25:06,420 authenticity is key. My kids told 420 00:25:09,780 --> 00:25:10,560 me it's not as well. 421 00:25:12,660 --> 00:25:13,920 All right, David 422 00:25:15,120 --> 00:25:18,540 Allen is one of the most popular podcasts in the world. The show 423 00:25:18,540 --> 00:25:21,680 name is a hat tip to the poker games and one conversation that 424 00:25:21,680 --> 00:25:25,520 you and your colleagues were already having, right? And on 425 00:25:25,520 --> 00:25:29,000 this show, there's a lot of time spent on Eva's interests, but 426 00:25:29,000 --> 00:25:31,460 you still have a very quickly growing global audience. Were 427 00:25:31,460 --> 00:25:34,580 you surprised by that? And was that your intention? 428 00:25:35,840 --> 00:25:38,300 Well, we didn't have much of an intention. They were very 429 00:25:38,300 --> 00:25:40,960 randomized, random situation that the podcast came out of 430 00:25:41,020 --> 00:25:46,540 covid on Zoom, I would say the original conversations were all 431 00:25:46,540 --> 00:25:50,200 about the tech industry, business markets, what's going 432 00:25:50,200 --> 00:25:53,800 on? How are we all reacting to and responding to the change in 433 00:25:53,800 --> 00:25:57,880 the world around us? How crazy is this? Shit was kind of like a 434 00:25:57,880 --> 00:26:01,800 pretty common theme during covid. And you know, what should 435 00:26:01,800 --> 00:26:05,280 we do? What could we do? So I think for anyone working in the 436 00:26:05,340 --> 00:26:08,700 tech industry or starting a company or investing around the 437 00:26:08,700 --> 00:26:12,900 world, it became, you know, something to listen to. Lot of 438 00:26:12,960 --> 00:26:15,540 people described it, hold it like being a fly on the wall. 439 00:26:15,780 --> 00:26:18,540 There were people just literally having a conversation about 440 00:26:18,540 --> 00:26:22,160 these topics. And I think that's kind of why it resonated 441 00:26:22,160 --> 00:26:26,900 globally. There are investors, startup founders, builders, 442 00:26:27,140 --> 00:26:27,560 Texas, 443 00:26:30,080 --> 00:26:33,380 anything that inspired you with this? I don't know if there was 444 00:26:33,380 --> 00:26:33,920 any other such 445 00:26:35,000 --> 00:26:37,880 the concept of this recording in general conversation. Did you 446 00:26:37,880 --> 00:26:38,360 find the wall? 447 00:26:40,040 --> 00:26:44,320 No, that wasn't the design of the show. I think there wasn't 448 00:26:44,320 --> 00:26:47,020 much of the design, because the one guy wanted to be interviewed 449 00:26:47,020 --> 00:26:49,300 by the other guy every week. That was the original show 450 00:26:49,300 --> 00:26:52,180 concept. And then they kept talking about finding time to go 451 00:26:52,180 --> 00:26:54,940 in the studio to do that show, and they couldn't find the time 452 00:26:54,940 --> 00:26:57,400 to go into the studio do that show. And then covid hit. They 453 00:26:57,400 --> 00:26:59,740 were all stuck at home, and they're like, Hey, let's get on 454 00:26:59,800 --> 00:27:02,580 Zoom and talk to each other and put that out as the show. And 455 00:27:02,580 --> 00:27:06,240 they asked me to join for the first episode, so I did, talking 456 00:27:06,240 --> 00:27:10,380 about covid and tech science and what was going on. And so that's 457 00:27:10,380 --> 00:27:12,300 how the show started. So there was no design, and 458 00:27:13,620 --> 00:27:15,840 I think that may be why it worked, because it's also like 459 00:27:16,320 --> 00:27:19,620 there was no real reason that we would care whether it succeeded 460 00:27:19,620 --> 00:27:24,440 or not, and so we just maybe didn't give a shit enough, and 461 00:27:27,560 --> 00:27:30,680 you just do what comes natural and what feels right, and then 462 00:27:30,680 --> 00:27:32,600 it just kind of worked. 463 00:27:34,580 --> 00:27:37,700 So for both of you, AI is obviously transforming creative 464 00:27:37,700 --> 00:27:41,080 industries right now, opening up huge possibilities, but also 465 00:27:41,080 --> 00:27:42,160 raising some big concerns. 466 00:27:43,780 --> 00:27:46,540 So I'd love to hear about what you do. This means New York 467 00:27:46,540 --> 00:27:49,480 Times as some artists and creative if you saw you, Megan, 468 00:27:50,080 --> 00:27:53,440 you mentioned backstage that you and your team are building your 469 00:27:53,560 --> 00:27:56,800 own AI, impersonation, Detective detection system. Talk to us a 470 00:27:56,800 --> 00:28:00,240 little bit about that for sure, sure. Well, I'll just first say 471 00:28:00,240 --> 00:28:03,360 that I think that technology has 472 00:28:05,700 --> 00:28:08,640 has done a lot for the music business. I think that it has 473 00:28:08,640 --> 00:28:12,600 always pushed creativity forward. But I will say it is a 474 00:28:12,600 --> 00:28:16,800 scary world we live in, because you just never know how they're 475 00:28:16,800 --> 00:28:19,320 going to use your face or your voice. And the truth is, like 476 00:28:19,320 --> 00:28:21,840 we're just talking about that genuine connection, it's really 477 00:28:21,840 --> 00:28:26,540 important for me to feel like anytime my fans see something 478 00:28:26,600 --> 00:28:29,840 that they feel like it is really like evils, and saying it to 479 00:28:29,840 --> 00:28:31,880 them, I want them to feel like that they can trust me. 480 00:28:33,320 --> 00:28:37,760 I have partnered with a company called Looney that is constantly 481 00:28:38,060 --> 00:28:43,540 working on pulling down these imposters or these social media 482 00:28:43,540 --> 00:28:46,420 posts, whatever it is that is not coming from me or my team, 483 00:28:46,420 --> 00:28:50,200 and that is a full time job at this point, and it is really, 484 00:28:50,200 --> 00:28:53,260 really crazy. And the scary thing is, is even when your 485 00:28:53,260 --> 00:28:55,840 family members think it's actually you, you're like, Oh 486 00:28:55,840 --> 00:28:58,600 Lord, they're getting really good at this. But, but, yeah, we 487 00:28:58,600 --> 00:29:03,120 have, we have found a team of people who are taking serious 488 00:29:03,120 --> 00:29:06,240 just like you are. And I just want to keep that, that 489 00:29:06,240 --> 00:29:07,680 relationship with my fans, 490 00:29:08,820 --> 00:29:11,700 the way that, the way that I wanted to be genuine and pure 491 00:29:11,700 --> 00:29:14,580 and authentic you're coming into this. But I suspect that every 492 00:29:14,580 --> 00:29:17,160 creator is going to want something like this, and maybe 493 00:29:17,160 --> 00:29:21,180 eventually every human, as we go into this world where it's 494 00:29:21,180 --> 00:29:25,700 always understand, it's probably 495 00:29:27,020 --> 00:29:29,660 to understand, if you can actually trust David, you're the 496 00:29:30,560 --> 00:29:31,100 president, 497 00:29:32,660 --> 00:29:36,080 it's a very broad topic, but if you just pick what the documents 498 00:29:36,080 --> 00:29:36,980 are you most excited 499 00:29:39,020 --> 00:29:41,980 about? So have you transition in AI can be sort of like an up 500 00:29:41,980 --> 00:29:44,500 leveling of creative potential. I'll just start with that 501 00:29:44,500 --> 00:29:47,440 statement. There's certainly risks associated with 502 00:29:47,440 --> 00:29:51,700 impersonation and theft of IP and whatnot, which I think will 503 00:29:51,700 --> 00:29:54,880 get worked out as it was YouTube and Spotify in the early days. 504 00:29:55,240 --> 00:29:55,960 Then we'll get there. 505 00:29:57,280 --> 00:29:59,920 But I got my first Macintosh computer where six. 506 00:30:00,000 --> 00:30:02,820 Years old, the Macintosh original, and I was on that 507 00:30:02,820 --> 00:30:06,120 computer learning how to use MAC Paint. And eventually I got to 508 00:30:06,120 --> 00:30:09,840 go to Photoshop. I was doing graphic design at the age of 11 509 00:30:09,840 --> 00:30:12,900 or 12 as a service to people. I got making money, making 510 00:30:12,900 --> 00:30:16,500 business cards and flyers and stuff. And so I was early on 511 00:30:16,500 --> 00:30:20,120 when Kai's power tools came out. Does anyone remember that? No 512 00:30:20,120 --> 00:30:21,920 one in this room that is so depressing. 513 00:30:25,220 --> 00:30:25,460 Okay, 514 00:30:26,600 --> 00:30:29,360 there's a couple, but Adobe Photoshop, right? You can put 515 00:30:29,360 --> 00:30:32,900 like images on and edit them and manipulate them, and power tools 516 00:30:32,900 --> 00:30:36,020 have these filters. And you would do a filter to the image, 517 00:30:36,560 --> 00:30:39,440 and it was like, Holy crap. You could make the image sharper, 518 00:30:39,440 --> 00:30:41,560 you could make it blur. You could do all. You can create 519 00:30:41,560 --> 00:30:44,440 depth. You can do all these things that people were like, 520 00:30:44,440 --> 00:30:48,100 That's cheating. Like, that's not fair. Like, how can you do 521 00:30:48,100 --> 00:30:51,520 that? You're the cameraman supposed to do that, or the guy 522 00:30:51,520 --> 00:30:53,560 who learned how paintbrush is the one who should be doing 523 00:30:53,560 --> 00:30:57,700 that. And so there's always and then later on, I did, like, you 524 00:30:57,700 --> 00:31:00,660 know, made techno music. Don't make fun of me for it. But, you 525 00:31:00,840 --> 00:31:03,420 know, you and I talked about, I used to have, like, a Juno 106, 526 00:31:03,960 --> 00:31:07,500 TV 303, and then I got all the synthetic sequencers on my 527 00:31:07,500 --> 00:31:10,500 computer, and there were all these plugins that came out, and 528 00:31:10,500 --> 00:31:13,440 the plugins became, I mean, just like a music industry today, it 529 00:31:13,440 --> 00:31:15,840 was a question of, like, Are you cheating? Like, is that really 530 00:31:15,840 --> 00:31:18,960 fair? And what ended up happening is creators, whether 531 00:31:19,020 --> 00:31:22,760 graphic creators or music creators found extraordinary 532 00:31:22,760 --> 00:31:26,240 ways to leverage these new tools to create new soundscapes, new 533 00:31:26,240 --> 00:31:31,220 visual features, new types of film. Today in Hollywood, a lot 534 00:31:31,220 --> 00:31:35,240 of the production houses are and I've spent some time with some 535 00:31:35,240 --> 00:31:38,060 of these companies, they're using like second units to do 536 00:31:38,060 --> 00:31:40,960 fully AI rendered like second units, unit. So the cost comes 537 00:31:40,960 --> 00:31:44,440 down, but the stuff you can do goes up by, like, 100x because 538 00:31:44,440 --> 00:31:47,680 you couldn't, you didn't have the budget to go and, like, 539 00:31:47,680 --> 00:31:51,640 recreate a trading floor from the 1970s and now you can do an 540 00:31:51,640 --> 00:31:54,040 AI in a couple of minutes. And so the creator, the director, 541 00:31:54,040 --> 00:31:56,320 has this ability to make a landscape that they otherwise 542 00:31:56,320 --> 00:31:59,560 wouldn't have the ability to make. And so I think that 543 00:31:59,560 --> 00:32:02,100 there's a leveling up that's happening in terms of what 544 00:32:02,100 --> 00:32:04,680 creators can do, and we're just starting to see people tinker 545 00:32:04,680 --> 00:32:07,440 with these things, and the stuff that I've seen, especially in 546 00:32:07,440 --> 00:32:10,560 video, and I'm sure over time, we'll see more and more happen 547 00:32:10,560 --> 00:32:13,800 in music. It's just incredible. So I think that the second big 548 00:32:13,800 --> 00:32:18,060 wave that's probably still to come is non linear content. And 549 00:32:18,060 --> 00:32:21,560 what I mean by that is, like today, whether it's a video or 550 00:32:22,160 --> 00:32:25,220 music track, you just press play and it goes linearly from 551 00:32:25,220 --> 00:32:28,760 beginning to end. I think that creators are going to unlock 552 00:32:28,760 --> 00:32:32,900 like in video games, the ability to maybe have some difference in 553 00:32:32,900 --> 00:32:36,260 how that track plays or how that movie plays out. Whether it's 554 00:32:36,260 --> 00:32:38,720 like, click and choose your own adventure, which I think may be 555 00:32:38,720 --> 00:32:41,500 a little annoying to consumers, or it's like, what if you could 556 00:32:41,500 --> 00:32:44,560 listen to your favorite house music track and make it a little 557 00:32:44,560 --> 00:32:47,680 bit faster, little bit cooler, a little bit shorter, add some 558 00:32:47,680 --> 00:32:51,280 vocals, add some jazz, but the Creator, not the user, but the 559 00:32:51,280 --> 00:32:54,280 Creator can set all those parameters. So now the creator 560 00:32:54,280 --> 00:32:56,500 is almost like coming up with all these ideas, but in 561 00:32:56,500 --> 00:32:59,200 different dimensions of how they can create music. And if you 562 00:32:59,200 --> 00:33:01,620 don't have to have one final track, and you can say, hey, we 563 00:33:01,620 --> 00:33:04,080 could make a couple different ways that this track can play 564 00:33:04,080 --> 00:33:06,660 out, and then the actual playback for the consumer, 565 00:33:06,660 --> 00:33:09,720 whether it's in a video or in music, could be a little bit 566 00:33:09,720 --> 00:33:12,300 different. And so I think we're likely going to see like, 567 00:33:12,360 --> 00:33:15,420 progressive creators come up with incredible ways of using 568 00:33:15,420 --> 00:33:17,940 these tools and these capabilities, where people are 569 00:33:17,940 --> 00:33:20,120 going to be watching movies differently. Like, hey, we all 570 00:33:20,120 --> 00:33:23,060 watch the same show, but I saw a little different view that you 571 00:33:23,060 --> 00:33:25,280 saw, like I saw from the bad guys view you saw from the good 572 00:33:25,280 --> 00:33:28,160 guys view, or we all track a little bit differently. So 573 00:33:28,160 --> 00:33:31,160 that's the sort of stuff that I think would be really cool with 574 00:33:31,160 --> 00:33:35,180 the AI unlocked sort of different experience. So as the 575 00:33:35,180 --> 00:33:35,540 creator 576 00:33:37,160 --> 00:33:38,900 and control search on these guys, 577 00:33:40,340 --> 00:33:40,600 I creator, 578 00:33:43,240 --> 00:33:44,260 if there was a framework 579 00:33:45,340 --> 00:33:47,740 for your fans to be able to work with the music, where 580 00:33:48,880 --> 00:33:50,500 everyone was greatly compensated, 581 00:33:53,560 --> 00:33:55,360 because it is your music, 582 00:33:57,700 --> 00:34:00,040 for sure, I think it's fun to be creative, but, you know, I 583 00:34:00,100 --> 00:34:02,340 think, Like, that's why I started doing this to begin 584 00:34:02,340 --> 00:34:02,640 with. So 585 00:34:03,720 --> 00:34:06,120 I would love for my fans to be able to do something, if it's 586 00:34:06,180 --> 00:34:12,420 fair for the person who wrote it, proposed it, created it. I'm 587 00:34:12,420 --> 00:34:15,180 down for that. I want everybody to be able to like color outside 588 00:34:15,180 --> 00:34:17,460 of the lines and try new things. So like I said, if people are 589 00:34:17,460 --> 00:34:19,440 compensated for it, Hell yeah. Hell yeah. 590 00:34:22,800 --> 00:34:24,620 Well, okay, are you guys doing anything like this? 591 00:34:26,360 --> 00:34:29,360 It's fun. Well, I'm looking at my comments. 592 00:34:34,520 --> 00:34:36,980 There is this one feature working on that touches on this 593 00:34:36,980 --> 00:34:40,280 that absolutely love, which people have been asking for 594 00:34:40,640 --> 00:34:42,880 forever. So you know, in movies, you have like, I am the game. 595 00:34:43,300 --> 00:34:45,940 You can go in and see, like, who's the director, who's 596 00:34:45,940 --> 00:34:49,600 producer. You're really nerd up in music, that hasn't often been 597 00:34:49,600 --> 00:34:52,180 the case. You often know who the performer is, but most people 598 00:34:52,180 --> 00:34:56,620 have no idea who wrote it or produced it. So this is leaked a 599 00:34:56,620 --> 00:34:57,220 little bit 600 00:34:58,420 --> 00:34:59,920 already, but we are. We're rolling out this. 601 00:35:00,000 --> 00:35:04,200 This feature called Song DNA, where we meticulously go through 602 00:35:04,260 --> 00:35:06,900 to understand exactly who played 603 00:35:09,600 --> 00:35:12,540 a role on each song. You can see that song writer 604 00:35:17,640 --> 00:35:18,240 actually 605 00:35:20,040 --> 00:35:24,080 like that sample is actually from this original song. So 606 00:35:24,080 --> 00:35:24,920 we'll see, I think, 607 00:35:26,780 --> 00:35:29,000 and I think it's really important that there are all 608 00:35:29,000 --> 00:35:32,120 these creators around the performance that there are 609 00:35:32,120 --> 00:35:32,360 that's 610 00:35:33,860 --> 00:35:35,000 something I'm very excited. 611 00:35:38,420 --> 00:35:39,260 It's really odd. 612 00:35:40,780 --> 00:35:40,960 That. 613 00:35:45,760 --> 00:35:47,200 Okay, all 614 00:35:49,060 --> 00:35:50,440 right, another question for 615 00:35:51,520 --> 00:35:51,940 both of you, 616 00:35:56,560 --> 00:35:57,220 the CEO, if 617 00:36:00,000 --> 00:36:00,660 environment. 618 00:36:03,180 --> 00:36:06,900 Now for both of you as the old my partner, Alex and I have 619 00:36:07,080 --> 00:36:10,020 stepped into the roles of those deals. We're spending a lot of 620 00:36:10,020 --> 00:36:13,440 time talking with artists, with podcast creators and with 621 00:36:13,440 --> 00:36:13,680 authors. 622 00:36:15,060 --> 00:36:17,580 I love the books. I'm very excited about this all around 623 00:36:17,580 --> 00:36:20,180 the world, and one of my favorite questions is, what can 624 00:36:20,180 --> 00:36:21,440 be building for you as a creator 625 00:36:22,820 --> 00:36:24,020 or as a user, by the way, yeah, well, 626 00:36:26,000 --> 00:36:28,100 into speaking and as a creator and a user, I 627 00:36:29,300 --> 00:36:31,520 think would be cool to build something based off of demons 628 00:36:31,520 --> 00:36:33,620 that day, you know? Because, I mean, the truth 629 00:36:34,760 --> 00:36:35,180 is that 630 00:36:40,280 --> 00:36:43,300 we're all going through something at different times, 631 00:36:43,300 --> 00:36:46,240 and it'd be really cool for my fans to feel like that day that 632 00:36:46,240 --> 00:36:48,400 they were going through something hard. I was speaking 633 00:36:48,400 --> 00:36:50,560 directly to them, that they didn't have to, like, listen 634 00:36:50,560 --> 00:36:53,140 through the whole album to figure out, like, Which song is 635 00:36:53,140 --> 00:36:55,900 resonating with them for that specific thing that they're 636 00:36:55,900 --> 00:36:56,860 going through. 637 00:36:58,360 --> 00:37:01,620 So very cool. So you were like, That's interesting. You can So, 638 00:37:01,620 --> 00:37:03,240 I mean, you could go into a Spotify and 639 00:37:08,700 --> 00:37:11,100 type in a little down here from your fans, because there are so 640 00:37:11,760 --> 00:37:15,600 many of them in some sort of aggregated way. Yes, I think 641 00:37:15,600 --> 00:37:18,600 that would be cool too, to know how your fans are 642 00:37:21,600 --> 00:37:22,460 feeling, too. 643 00:37:24,680 --> 00:37:27,620 I mean, so many different people from so many walks of life have 644 00:37:28,400 --> 00:37:33,980 like, it's crazy the story that people and telling me, but one 645 00:37:33,980 --> 00:37:36,920 of the three lines for me that I've noticed this evening in 646 00:37:36,920 --> 00:37:40,660 meet and greets is they are willing to share like where they 647 00:37:40,660 --> 00:37:41,260 are in life and 648 00:37:42,760 --> 00:37:45,760 where they are going through and so I don't know, just be able 649 00:37:45,760 --> 00:37:48,460 to, like, cater to that even more, to even just have, like, a 650 00:37:48,460 --> 00:37:52,480 deeper connection like that with your family. Because my goal 651 00:37:52,480 --> 00:37:55,660 always is for them to feel like I'm speaking to them in their 652 00:37:55,720 --> 00:37:58,420 story, in their life. But if they're going through something, 653 00:37:58,420 --> 00:37:59,920 and I'm singing a song about, 654 00:38:01,180 --> 00:38:03,780 let's have a part, you know? I mean, they might not, that 655 00:38:05,040 --> 00:38:05,880 might not be the thing 656 00:38:08,340 --> 00:38:09,540 that helps them get through 657 00:38:11,100 --> 00:38:14,640 it, the musician, you only get data on how many plays there 658 00:38:14,640 --> 00:38:17,460 were and what the average listen kind of was, that's 659 00:38:18,660 --> 00:38:20,040 that's all the only feedback you get. 660 00:38:21,240 --> 00:38:23,240 It's true. Yeah, you do get 661 00:38:25,100 --> 00:38:28,100 statistics about who is listening, ages and where they 662 00:38:28,160 --> 00:38:30,860 listen. You can find your tours, but you're completely right. You 663 00:38:30,860 --> 00:38:34,520 have no idea how they're feeling and looking at AI. I just talked 664 00:38:34,520 --> 00:38:38,000 about how AI allows people to speak in English at scale. That 665 00:38:38,000 --> 00:38:41,120 is a really cool thing, to actually understand more about 666 00:38:42,080 --> 00:38:46,840 their demographic. Well, a couple years ago, there was a 667 00:38:46,840 --> 00:38:49,360 guy who took all of our episodes, like, right when AI 668 00:38:49,360 --> 00:38:51,880 was kind of getting going, and he ingested them all, and then 669 00:38:51,880 --> 00:38:55,240 he created, like an AI character with each of the four of us, and 670 00:38:55,420 --> 00:38:57,820 then it was like, each of the four of us said a bunch of 671 00:38:57,820 --> 00:39:00,400 stuff, and it was so bullshit, like that sounded awful. He's 672 00:39:00,400 --> 00:39:03,600 gotten so much better now. But then someone else made a chat 673 00:39:03,600 --> 00:39:05,880 interface where you could ask each of those questions they 674 00:39:05,880 --> 00:39:08,700 could answer, as if it was trained on the data from our 675 00:39:08,700 --> 00:39:11,520 show. And it was like, Wait, that's actually kind of 676 00:39:11,520 --> 00:39:14,700 interesting. Like, very often I'm trying to find something 677 00:39:14,700 --> 00:39:17,580 that I heard on another show, like Friedman organ or 678 00:39:17,580 --> 00:39:21,140 something. I'm like, Where was that? And so to find what was 679 00:39:21,140 --> 00:39:25,160 said by guests, or find really guests and protection was very 680 00:39:25,160 --> 00:39:29,000 hard. Today I got to go, like to YouTube and do transcript 681 00:39:29,000 --> 00:39:31,340 search. Or nowadays, I can do Gemini, and Gemini like, search 682 00:39:31,340 --> 00:39:35,480 through all the transcript data for me and pull stuff out. But I 683 00:39:35,480 --> 00:39:38,360 think every podcaster should have the opportunity to create 684 00:39:38,360 --> 00:39:42,820 like Lex chat, or Joe chat, or something where you as a user 685 00:39:42,820 --> 00:39:45,700 who's a big fan of the podcast, like, the thing I realized about 686 00:39:45,700 --> 00:39:49,480 podcasting is it's people want to, like, get really developed. 687 00:39:49,480 --> 00:39:52,060 They come to these live events. Like, we've been on a live event 688 00:39:52,060 --> 00:39:55,780 with like, 1000s of people in LA every year. We've got one here 689 00:39:55,780 --> 00:39:58,000 tomorrow night. And they want to, like, absorb more the 690 00:39:58,000 --> 00:39:59,920 content, get into the community. Applicant. 691 00:40:00,000 --> 00:40:03,960 Engage, engage, engage, because that particular content vertical 692 00:40:03,960 --> 00:40:06,300 is something they're really into. So to have a chat 693 00:40:06,300 --> 00:40:09,360 interface where I could ask Joe Rogan questions like, Hey, Who 694 00:40:09,360 --> 00:40:11,940 was your favorite guest? Which was the craziest shit you ever 695 00:40:11,940 --> 00:40:14,340 heard. You know, tell me about that guy that talked about, like 696 00:40:14,340 --> 00:40:16,860 there were pyramids under the ocean and we found them. Like, 697 00:40:17,040 --> 00:40:19,920 who was that guy? I would love to be able to have that dialog 698 00:40:19,920 --> 00:40:23,300 with my podcast that I love. I think that would be a really 699 00:40:23,300 --> 00:40:25,820 cool feature. You guys can train it off on the transcript data, 700 00:40:25,880 --> 00:40:28,100 and theoretically, you could actually make the audio sound 701 00:40:28,100 --> 00:40:31,580 like the host. And I could have a dialog through the Spotify app 702 00:40:31,940 --> 00:40:34,520 and all of these that creates more engagement for you guys, 703 00:40:35,000 --> 00:40:37,040 and all of the I should be your kind of 704 00:40:39,380 --> 00:40:41,980 product. So yeah, anyway, because I would love to chat 705 00:40:41,980 --> 00:40:44,560 with Lex Friedman and then be like, Hey, tell me about that 706 00:40:45,520 --> 00:40:46,660 great Hancock interview. 707 00:40:47,800 --> 00:40:51,280 And then our users could just ask David to talk to digital I 708 00:40:51,280 --> 00:40:52,060 got enough of that. 709 00:40:53,620 --> 00:40:57,340 But I do worry about, certainly, this thing of, like, digital 710 00:40:57,340 --> 00:41:00,520 representation. It's gonna happen. It's happening to a 711 00:41:00,520 --> 00:41:04,680 point, and they get it better. They get an opt in. Yeah, people 712 00:41:04,680 --> 00:41:07,200 that I think, I think podcasters are different than these issues. 713 00:41:07,320 --> 00:41:09,720 So podcasters are creating content. They're not creating 714 00:41:10,140 --> 00:41:14,520 these, like, you know, tracks, the songs that are kind of their 715 00:41:14,520 --> 00:41:16,980 product out, but they want to protect the value of the song 716 00:41:16,980 --> 00:41:19,800 and so on. Podcasters more content they're creating, I 717 00:41:19,800 --> 00:41:22,520 think the more engagement they get, the more depth they get. So 718 00:41:22,520 --> 00:41:24,800 there's something about re engaging in that content that 719 00:41:24,800 --> 00:41:27,320 actually brings a lot of value for the podcaster. And it 720 00:41:27,320 --> 00:41:30,020 doesn't need to be pure it doesn't need to be how I said 721 00:41:30,020 --> 00:41:33,920 the thing at the time. I said it per se, but generally, like, the 722 00:41:33,920 --> 00:41:38,720 things I said, like, I'd be fine for AI chat interface. Just be 723 00:41:38,720 --> 00:41:41,800 trained on that and want to answer questions. Interesting 724 00:41:41,800 --> 00:41:44,860 when music is interesting as a content category because it has 725 00:41:44,860 --> 00:41:48,280 so much repeat testing, people listen the same track hundreds, 726 00:41:48,280 --> 00:41:51,580 1000s of times. But in podcasts, you mostly don't the same 727 00:41:51,580 --> 00:41:54,400 episode again. This would be a great value from the back 728 00:41:54,400 --> 00:41:57,220 catalog as well, right? But people do listen to the back 729 00:41:57,220 --> 00:42:01,560 catalog, like acquired Rogan Lex, like some of these are very 730 00:42:01,560 --> 00:42:04,200 timeless episodes, because they're interview shows with 731 00:42:04,200 --> 00:42:07,980 someone on particular topic. And so, like, I mean, you know the 732 00:42:07,980 --> 00:42:11,760 stats on acquire business podcast, once people listen to 733 00:42:11,760 --> 00:42:13,980 an acquired podcast, they go back and listen to the whole 734 00:42:13,980 --> 00:42:16,260 brain library, and they're like, this show's awesome. I wasn't 735 00:42:16,260 --> 00:42:19,740 all of these, and there's a bunch of pods like that. So I 736 00:42:19,740 --> 00:42:21,980 think to have some sort of engagement 737 00:42:24,320 --> 00:42:25,700 mechanism around that stuff could 738 00:42:27,080 --> 00:42:30,980 be very cool. Okay, we got some product ideas. My first virus 739 00:42:31,040 --> 00:42:32,180 here, amazing 740 00:42:33,980 --> 00:42:37,640 lady, you're not just an artist, you're also founder and investor 741 00:42:37,760 --> 00:42:41,860 of fashion, jewelry and gaming. So we talked about how you think 742 00:42:41,860 --> 00:42:44,500 about your arts career, but how do you think about building a 743 00:42:44,500 --> 00:42:46,120 business alongside your music career? 744 00:42:48,640 --> 00:42:52,660 Well, like I said earlier, I just really like to be creative, 745 00:42:53,020 --> 00:42:56,080 and I want to make sure that my parents feel like they've been 746 00:42:56,680 --> 00:42:59,080 they can like that into the work of my music as much as I 747 00:42:59,080 --> 00:43:02,160 possibly can or as much as I want to. And, 748 00:43:03,660 --> 00:43:07,680 you know, I look out at my shows and I'm seeing people who dress 749 00:43:07,680 --> 00:43:10,860 just like me, wearing the bell bottoms in their hats and the 750 00:43:10,860 --> 00:43:12,900 jewelry. And this 751 00:43:14,160 --> 00:43:17,040 is it. Yeah, we should have put you in some Bill 752 00:43:18,540 --> 00:43:19,380 bottoms too. 753 00:43:22,200 --> 00:43:27,080 But, yeah, it's just another way for me to connect with my people 754 00:43:27,320 --> 00:43:30,080 and with my fans, and, like I said, for them to be able to, 755 00:43:30,080 --> 00:43:35,180 like, live in that world as much as they want to. And it's fun. 756 00:43:35,180 --> 00:43:37,160 You know, when you're all under like, the same roof and you're 757 00:43:37,160 --> 00:43:39,380 like, looking out there and everybody kind of looks like 758 00:43:39,380 --> 00:43:44,080 you, it's a especially like with a little girls and stuff, it 759 00:43:44,080 --> 00:43:47,020 makes me feel like, man, like, I better watch what I do and say, 760 00:43:47,020 --> 00:43:50,020 because I have a lot of little people watching me. But also it, 761 00:43:50,020 --> 00:43:51,580 it gives me this 762 00:43:53,200 --> 00:43:56,560 sense of just like responsibility. To feel like, 763 00:43:56,620 --> 00:44:00,480 okay, I need to be a leader. I need to, like, set an example. 764 00:44:00,780 --> 00:44:02,280 And yeah, it's 765 00:44:03,600 --> 00:44:06,240 a good feeling. It's a good feeling to I feel blessed with 766 00:44:06,240 --> 00:44:09,540 like have this platform and be on that stage, and 767 00:44:10,620 --> 00:44:14,280 I just Yeah, I want people to feel like they know me. I want 768 00:44:16,200 --> 00:44:16,860 to feel like I 769 00:44:19,020 --> 00:44:19,320 know them. 770 00:44:20,640 --> 00:44:22,520 But we spoke backstage 771 00:44:30,740 --> 00:44:34,940 for so long, I did not have any opportunity at all. I've been at 772 00:44:34,940 --> 00:44:36,080 this a long time. 773 00:44:37,160 --> 00:44:40,960 I've been living in Asheville for 15 years, and the first 10 774 00:44:42,100 --> 00:44:45,520 I should have packed up, I went home, but I just couldn't. This 775 00:44:45,520 --> 00:44:47,860 is the only thing I know how to do. It's the only thing I want 776 00:44:47,860 --> 00:44:53,080 to do is just to tell stories. And yeah, I feel like the last 777 00:44:53,080 --> 00:44:57,040 few years have just been such a blessing to me and my life and 778 00:44:57,040 --> 00:44:59,260 my team, like I have finally found the right people to 779 00:44:59,260 --> 00:44:59,920 surround myself. 780 00:45:00,000 --> 00:45:04,560 With that understand my vision and don't want to change me for 781 00:45:04,560 --> 00:45:07,260 anything, and if anything, they just want to elevate me and get 782 00:45:07,260 --> 00:45:11,340 me to that next step. And it's getting really fun now. So now 783 00:45:11,340 --> 00:45:14,640 we have all these opportunities. There's only so many hours in 784 00:45:14,640 --> 00:45:17,580 the day, but I do want to take them all. You know, if it feels 785 00:45:17,580 --> 00:45:20,040 right and it feels like it's going to move the needle, then 786 00:45:20,700 --> 00:45:22,460 let's do it. You told me you're from this 787 00:45:24,380 --> 00:45:25,220 tiny, tiny town 170 788 00:45:27,380 --> 00:45:28,580 and you moved 789 00:45:31,340 --> 00:45:33,260 pretty further on. Yes, I did. I'm from 790 00:45:34,280 --> 00:45:35,540 Baskin, Louisiana, 791 00:45:36,740 --> 00:45:37,700 a little town of 170 792 00:45:38,780 --> 00:45:43,180 people. I'm very proud where I come from, but honestly, I 793 00:45:43,180 --> 00:45:47,260 compare. I was telling you this in the room too, that I compare 794 00:45:47,260 --> 00:45:50,800 a lot of what I do to what my dad does. My dad is a farmer, 795 00:45:50,920 --> 00:45:55,540 and he farms corn, wheat, soybeans, oats, and gets up 796 00:45:55,540 --> 00:45:59,320 every day and busts his tail doing it, and he does the same 797 00:45:59,320 --> 00:46:02,400 thing every single day. I mean, it looks a little bit different 798 00:46:02,400 --> 00:46:06,480 for me every day. But, um, you know, at the end of the day, 799 00:46:06,480 --> 00:46:09,600 it's your livelihood, if it's in you, then you just get up and 800 00:46:09,600 --> 00:46:13,980 you do it. A storm could roll through, and you just get up and 801 00:46:13,980 --> 00:46:14,280 do it 802 00:46:18,300 --> 00:46:23,600 anyway. So I call myself a song farmer, amazing. Amazing. David 803 00:46:24,800 --> 00:46:29,180 spoken is a big movement podcast in 2019 and you and your girls 804 00:46:29,180 --> 00:46:31,820 started, as you said, during covid in 2020 805 00:46:32,840 --> 00:46:35,060 Could you talk a little bit to us about the growth and 806 00:46:35,060 --> 00:46:38,420 evolution that you've seen and sort of where you think it's 807 00:46:38,420 --> 00:46:41,920 going next? You mentioned some of the ideas you have. But what 808 00:46:41,920 --> 00:46:42,940 do you see podcasting? 809 00:46:44,260 --> 00:46:46,720 Well, podcasting kind of became what blogging used to be. 810 00:46:46,720 --> 00:46:48,940 Everyone that had blogs prior to 811 00:46:50,620 --> 00:46:50,800 that, 812 00:46:52,120 --> 00:46:52,600 everyone 813 00:46:53,800 --> 00:46:56,440 so in the business world, like, if you've got, 814 00:46:57,580 --> 00:47:00,220 you know, I think one of the problems is a lot of this stuff 815 00:47:00,220 --> 00:47:04,500 got solid, and maybe we're part of this problem as well. But 816 00:47:04,500 --> 00:47:08,160 like people selling shit, like, like, I'm trying to like 817 00:47:09,240 --> 00:47:11,520 people doing podcasts because they're trying to, like, 818 00:47:11,760 --> 00:47:14,220 heighten their profile because they have stuff to sell. I don't 819 00:47:14,400 --> 00:47:16,980 know if that intention really resonates and works. Well, 820 00:47:17,340 --> 00:47:21,080 maybe, maybe we're part of maybe we should be blamed for that as 821 00:47:21,080 --> 00:47:21,920 well, I don't know, but 822 00:47:23,060 --> 00:47:25,760 I feel like there's an aspect of that where, like, everyone's got 823 00:47:25,760 --> 00:47:29,540 podcasts now, and the market will sort itself out. People 824 00:47:29,540 --> 00:47:32,120 listen to what they want to listen to and stuff for. So it's 825 00:47:32,120 --> 00:47:37,460 very crowded. It's very noisy out there. And I think to some 826 00:47:37,460 --> 00:47:41,260 extent, we're seeing folks step it up, right? So the visual 827 00:47:41,260 --> 00:47:45,880 stuff matters a lot, I think more than people are realizing, 828 00:47:45,880 --> 00:47:50,080 but a lot of the stuff will hold its own as audio. But Chris 829 00:47:50,080 --> 00:47:52,420 Williams said, I don't know if you guys know that this guy is 830 00:47:52,420 --> 00:47:55,600 podcaster. He did anyone see the episode? 831 00:47:59,200 --> 00:48:02,040 They built a set on the same kind of sound stage and set 832 00:48:02,040 --> 00:48:04,680 stage that they use for the Mandalorians, like this LED wall 833 00:48:04,680 --> 00:48:07,500 that, like, wrapped around it's so and they built Interstellar, 834 00:48:07,920 --> 00:48:10,080 like the guy's house with Interstellar, with the trailer 835 00:48:10,080 --> 00:48:13,320 and the driveway. It's freaking insane. I recommend you watch it 836 00:48:13,320 --> 00:48:16,500 on YouTube, just to see what they built. The YouTube thing, 837 00:48:16,560 --> 00:48:16,800 I'm so 838 00:48:18,420 --> 00:48:18,660 sorry. 839 00:48:20,580 --> 00:48:20,660 I so 840 00:48:27,140 --> 00:48:29,720 this is why I think the video on Spotify doesn't matter a lot, 841 00:48:29,960 --> 00:48:32,540 because I do think a lot of the folks are differentiating by 842 00:48:32,540 --> 00:48:35,420 improving the quality of the video content. And it's not just 843 00:48:35,420 --> 00:48:38,720 me having a chat and then obviously the podcasts are more 844 00:48:38,720 --> 00:48:39,860 creative, like all 845 00:48:40,940 --> 00:48:44,500 the murder crime industry stuff. It's so cool, like it's a 846 00:48:44,920 --> 00:48:47,440 totally different level. It's not just someone sitting at the 847 00:48:47,440 --> 00:48:50,560 table having a conversation. Joe Rogan can hold his own having a 848 00:48:50,560 --> 00:48:52,960 conversation for two hours, and we'll get great content. 849 00:48:54,340 --> 00:48:57,520 But most people cannot. Most people need it. So the good 850 00:48:57,520 --> 00:49:01,380 creator they're gonna need to go to, like murder crime history, 851 00:49:01,380 --> 00:49:04,380 that might be a better format. So I think there's a lot of this 852 00:49:04,380 --> 00:49:06,900 differentiation that's going to start to happen, which, by the 853 00:49:06,900 --> 00:49:09,240 way, will like it fundamentally improve the quality of the 854 00:49:09,240 --> 00:49:11,640 experience that the consumers, the listeners are like, the 855 00:49:11,640 --> 00:49:14,400 viewers are like, this is awesome. Now, like that Matthew 856 00:49:14,400 --> 00:49:17,280 McConaughey episode, visually, it's just like, I don't care 857 00:49:17,280 --> 00:49:21,260 what McConaughey is saying, this is just so cool. Pretty cool. 858 00:49:21,620 --> 00:49:24,920 And ask you, one of the things that I think people like about 859 00:49:24,980 --> 00:49:28,580 listening to you numbers is that you have a positive view of the 860 00:49:28,580 --> 00:49:31,100 future. And there's a lot of stuff here right now, and you're 861 00:49:31,100 --> 00:49:32,240 going to start a podcast. 862 00:49:33,980 --> 00:49:38,180 Well, we'll see. But I do think the thing that troubles me the 863 00:49:38,180 --> 00:49:41,440 most is just kind of how techno pessimistic we are, right? And I 864 00:49:41,440 --> 00:49:44,080 think, like, everyone's just like ai humorism, like AI is the 865 00:49:44,140 --> 00:49:47,260 most unfavorable thing right now in the country. There's some 866 00:49:47,260 --> 00:49:50,680 survey that came out it was like Iran, like Iran is more 867 00:49:50,740 --> 00:49:51,940 favorable than AI. Like, the sort 868 00:49:53,320 --> 00:49:57,580 of thing that happened where AI just became the new like, 869 00:49:57,580 --> 00:49:59,920 whether it was climate change or. 870 00:50:00,000 --> 00:50:03,300 Or whatever, there's always this, like looping threat that 871 00:50:03,360 --> 00:50:07,680 we latch on to. And I think we've had this, like this shift 872 00:50:07,680 --> 00:50:11,580 in our psyche, particularly in the West, meaning the US and 873 00:50:11,580 --> 00:50:16,680 Western Europe, probably since the 1970s like 1969 we landed on 874 00:50:16,680 --> 00:50:19,380 the moon and we had Woodstock that same summer, and I think 875 00:50:19,380 --> 00:50:21,980 that was the summer when we became techno pessimists, where 876 00:50:21,980 --> 00:50:24,380 we were like, worried about chemicals in our water, 877 00:50:24,560 --> 00:50:27,740 radiation killing us. Nuclear energy could burn, melt down and 878 00:50:27,740 --> 00:50:30,920 wipe us. Nuclear bombs are overhead. So we simply became 879 00:50:30,920 --> 00:50:34,220 way more concerned about tech. But if you look at like, how 880 00:50:34,220 --> 00:50:37,580 tech is progressing, human lifespan, human health span, how 881 00:50:38,300 --> 00:50:40,660 many hours people have to work, the number of hours that people 882 00:50:40,660 --> 00:50:43,780 have to work is going down the quality of life. I know a lot of 883 00:50:43,780 --> 00:50:46,300 people are struggling. Still in America, there's a lot of less 884 00:50:46,300 --> 00:50:49,720 behind differences in what's going on, but a lot of people 885 00:50:49,780 --> 00:50:53,020 are moving up the ladder because of the advances in technology. 886 00:50:53,020 --> 00:50:55,480 We all got a freaking super computer in our pocket. There's 887 00:50:55,480 --> 00:50:58,420 just so much that I think we take for granted. And when I 888 00:50:58,420 --> 00:51:02,040 look at the technology that's being developed and is like real 889 00:51:02,040 --> 00:51:04,680 today, and I think about, holy shit, what this is going to do 890 00:51:04,680 --> 00:51:07,020 tomorrow? Like, we're all going to live forever. We're going to 891 00:51:07,020 --> 00:51:09,480 have free friggin energy. We're going to be in flying cars 892 00:51:09,660 --> 00:51:11,700 moving around the point, like, oh, wait, finally, forever. They 893 00:51:11,700 --> 00:51:14,100 launched yesterday. They got FAA certified yesterday, by the way, 894 00:51:14,100 --> 00:51:16,380 nobody did. So these are the sorts of things that are 895 00:51:16,380 --> 00:51:18,900 happening that I think don't get enough attention. And we spend 896 00:51:18,900 --> 00:51:21,180 all this time thinking about how we're going to die and what's 897 00:51:21,180 --> 00:51:24,020 going to kill us and what's coming next, and we don't talk 898 00:51:24,020 --> 00:51:26,900 enough about how exciting tomorrow is going to be. And so 899 00:51:26,900 --> 00:51:29,300 I want to kind of change the message a little bit and spend 900 00:51:29,300 --> 00:51:31,880 some time on it. And that's kind of why I do this show. It's why 901 00:51:31,880 --> 00:51:35,180 I do and considering doing the pre show, which will just be 902 00:51:35,180 --> 00:51:37,760 focused on the science and tech of tomorrow, and just kind of 903 00:51:37,760 --> 00:51:37,940 get 904 00:51:39,500 --> 00:51:42,440 deeply excited about it, that's great. I do think it's 905 00:51:42,440 --> 00:51:51,460 important. Everyone can follow along with that future, 906 00:51:51,880 --> 00:51:53,860 especially, for example, in music, but I'm 907 00:51:56,380 --> 00:51:58,900 very positive. I will say one more. I think the fear of 908 00:51:58,900 --> 00:52:01,860 tomorrow is what makes everyone turn against each other, because 909 00:52:01,860 --> 00:52:04,140 as soon as you're about tomorrow, you have a reason to 910 00:52:04,140 --> 00:52:06,420 blame someone around you, and that's why we are all like this 911 00:52:06,780 --> 00:52:09,540 all the time. And I think it's very bad. It's very unhealthy. 912 00:52:09,540 --> 00:52:12,480 Go to a dark place. And so I want to all be optimistic about 913 00:52:12,480 --> 00:52:16,020 tomorrow and be realistic, but be optimistic about tomorrow. 914 00:52:17,820 --> 00:52:19,620 That's why it didn't 915 00:52:22,560 --> 00:52:23,180 matter. Okay? I could 916 00:52:25,820 --> 00:52:30,020 keep talking about him forever, but Thank you so much for 917 00:52:30,020 --> 00:52:30,320 coming. 918 00:52:42,500 --> 00:52:42,980 Thank you so 919 00:53:26,300 --> 00:53:27,320 yeah, I Guess you have A better 920 00:54:58,960 --> 00:54:59,320 How about.

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