Why Storytelling Beats the Algorithm: JC Sanchez on Music Data and AI
Over the past decade, JC Sanchez has had a front-row seat to the biggest shifts in modern music. From working as a Marketing Manager at Sony and managing artist partnerships at Meta to overseeing music strategy for Latin America at Spotify, he has helped shape careers for global icons like Ricky Martin, Jennifer Lopez, and Marc Anthony. Today, he’s channeling that executive playbook into Orphiq, an AI-powered career guidance platform already used by over 2,500 artists and teams to cut through analytics overload.
We sat down with Sanchez to discuss why niche storytelling beats algorithmic formulas, what it actually takes to turn streaming spikes into ticket sales, and why cleaning up messy catalog metadata can quite literally unlock millions in unpaid royalties.
Having overseen international music strategy for Latin America at Spotify, managed artist partnerships at Meta, and worked as a Marketing Manager at Sony, you’ve had a front-row seat to the global explosion of Latin music over the past decade. For years, the narrative was mostly about Latin acts breaking into the mainstream. Now that Latin music has arrived at the center of pop culture, what does the next chapter look like?
I think the next chapter is just more stories and more songs, and we're already seeing it.
For a long time, the barrier to getting into people's lives was that they had to buy your record, or the local radio station had to play your song. Streaming took that away. With a subscription getting you basically any song on the planet, it turns out people did have an appetite for things that are different and interesting. It matters less what language it's in and more how you connect with it. We've seen the same thing with K-pop and anime music, and this year with Indian artists. The industry has less control than it ever did.
There was a period when Latin music was very homogenized. If you weren't doing reggaeton-pop, you basically couldn't get real commercial traction. That's changed a lot. There are so many artists challenging the status quo, generating good numbers, selling tickets and expanding where they tour. Latin music is so colorful, with so many genres, points of view and stories. It's honestly awesome to see.
That shift away from homogenization is clear with the rise of regional sounds like Música Mexicana and Cumbia. Still, there’s a tension there: algorithms often push music toward formulaic hooks. Do you see niche storytelling holding up as Latin music’s biggest competitive advantage?
Honestly, I think algorithms get too much hype. Ultimately, the platforms want their algorithms to give their users what they actually want, and what people want more than anything today is authenticity, connection, and to feel something. People don't love AI slop, and they don't love doom scrolling. They still consume it, but talk to them one-on-one and they're not happy about it.
So I think storytelling is the advantage. The artists of tomorrow are going to be much better at it, and more concerned with what things mean, because that ties into identity and expression, and those don't go away. It's why teen angst finds a home in rock music every generation. There was teen angst 300 years ago. There just wasn't rock music to express it, and now we never go back.
I'm sure there are feelings we have today that we don't have a way of expressing yet. Music is getting more fractured and more specific, not less. When anyone can make anything, what sets you apart is how well you connect.
Speaking of breaking regional borders, when an artist suddenly starts seeing spikes in consumption data from unexpected countries or cities, how can they tell whether they're building an actual, dedicated fanbase there?
You can tell by going. I don't think data will ever be flawless enough to tell you with absolute certainty. You have to show up and experience it, and fans need you to show up so they can experience you.
It took a lot of American and British artists a long time to make it to Latin America, and when they got there, they found huge fandoms. My argument is they probably could have had even bigger tours if they'd started going 10-20 years earlier.
You're not going to understand the potential of our market until you go. It doesn't have to be a show. Take a vacation there. Go to a restaurant. Can you walk outside and have people recognize you, or not? Unless you show up, it's very hard to tell if the online numbers translate to real life, especially if the measuring stick we use is ticket sales.
Increased performance data means that artists today are managing a flood of numbers across Spotify for Artists, Apple Music Analytics, YouTube Studio, and Meta Insights. You built Orphiq specifically to solve this overload. In your view, what does being informed by data look like today?
To me, being data-informed means you can quickly find out if you're growing or not, and why.
Performance data is signal. It's not necessarily truth. You can get to a very high degree of confidence, but you never really know any of this with 100% certainty. So the question is how much of your time and mental bandwidth goes into it. I tell artists all the time: you should be able to delete every social app from your phone and still have a functioning career. Are people connecting with what you're doing or not? That's a binary question.
Monthly listeners, followers, skip rate, save rate, whatever. If things are improving, you'll grow. People don't understand compounding. It looks very small for a very long time until it doesn't, which is why fixating on day-to-day numbers is so misleading. Are you growing every month, every year? That's the interesting metric.
That's the premise behind what we're building. We look at the numbers to validate the signal, not to overarchitect anyone's career. Finding out fast whether you're growing, and why, and autonomously helping your next steps is honestly what AI can be really good at.
A huge part of Synchtank’s mission is solving the chaotic back end of the music business: fragmented catalogs, inconsistent metadata, and disparate rights management. On the ground level, how have you seen poor catalog and metadata hygiene directly hurt an artist’s discoverability or ability to capitalize on their success?
I don't think people realize how fragmented catalogs can become, how messy the data can be, or how few people really understand how rights work. It's so expansive that it's hard to see how it all adds up.
I've been in the room with artists and managers when they figure out that if they send one more email, $1 million shows up in their bank account a couple of weeks later, just from reorganizing the mess.
That's the real benefit of having your data organized. It makes it so much easier to get your money out of the black boxes of the world, and for the new AI platforms to actually help you reconcile faster and find discrepancies faster.
Becoming a business executive isn't the most fun thing for an artist, and that's how you hear stories of people getting taken advantage of and getting bad deals on catalog moves. Educate yourself, surround yourself with people who know what they're doing, and use tools that work. Until someone overhauls this industry from the ground up, and I don't see that happening anytime soon, the next best move is getting someone or something to help with the necessary work.
Working with legends like Ricky Martin, J.Lo, and Marc Anthony, you know how crucial gut instinct and musical taste are. Now that you’re pioneering AI guidance tools for career planning, where do you draw the line between trusting what the data suggests and betting purely on creative intuition?
I'm extremely partial to not letting AI do the driving. The artist's creative vision has to be the driver. I don't think AI can do anything really interesting unless someone with taste gives it creative vision. That's the hypothesis that's going to validate or break this whole thing.
Data and tools are great at helping you connect the dots, but you still have to draw the dots. AI shouldn't be telling you what your north star is, what you want people to feel or what your song should be about. That has to be the artist. Once the dots are there, AI can connect way more of them, way faster than a human could. That's what we're building Orphiq to do.
And no tool can stand on stage for you or connect with your fans for you. The reason someone buys a ticket is because something you did made them feel something. That's why we're so artist-centric: the whole team (artists, management, labels, agencies, everybody) should be working with the artist's vision as the north star.
As the music business grows louder and more fragmented, Sanchez’s philosophy comes down to a clear division of labor: let technology handle the heavy lifting on data and catalog reconciliation, while keeping human instinct in the driver’s seat. Smart tools can finally help untangle black-box royalties and spot tour demand, but they shouldn't replace creative taste, real connection, or showing up in person.
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