Tag: Personalization

Spotify Premium Users Can Now Turn Any Idea Into a Personalized Playlist With AI Playlist in Beta

We know that discovery happens on Spotify, with nearly two billion discoveries happening on our platform every day. Features like our AI DJ and daylist power those discoveries and bring fans closer to the artists they love. Now we’re providing our Spotify Premium subscribers with another tool to fuel discovery and music curation. With AI Playlist in beta, you can effortlessly turn your most creative ideas into playlists.

Starting with users on Android and iOS devices in the United Kingdom and Australia, creating a new playlist with AI Playlist is as simple as typing a unique prompt into the chat. Looking for “an indie folk playlist to give my brain a big warm hug,” “relaxing music to tide me over during allergy season,” or “a playlist that makes me feel like the main character”? AI Playlist has you covered. Whether you’re a beginner or an expert playlist creator, AI Playlist pairs our powerful personalization technology with AI to deliver that perfect musical mix, just for you.

 

You can use prompts that reference places, animals, activities, movie characters, colors, even emojis. The most successful playlists are generated with prompts that contain a combination of genres, moods, artists, or decades. It’s a brand-new tool, and still in beta, so we’ll continue to iterate and innovate on the experience. Stay tuned for what’s to come!

Get started with AI Playlist:

To find AI Playlist, head to the Spotify mobile app and select “Your Library” at the bottom-right corner of your screen.

    • From Your Library, tap the “+” button at the top-right corner of the app and select “AI Playlist.”
    • Select one of the suggested prompts or type your own. Get creative and be specific! For example, you could try creating “sad music for painting dying flowers” or “tracks for horse riding into the sunset.”
    • Wait as we do our magic. Spotify will offer some tracks that match the vibe you’re going for. 
    • From there, you can easily manage the selection of songs by previewing and deleting tracks. Have notes? You can revise and refine the playlists you generate by telling AI Playlist what you’re looking for (i.e., “more pop” or “less upbeat”).
    • Tap “Create,” and your new playlist will be saved automatically in Your Library.

Just like that, Spotify will help you curate a personalized playlist based on the tracks, artists, and genres we think you’ll like. While it’s designed to be fun, the tool is still in beta and won’t produce results for non-music-related prompts, like current events or specific brands. We also have measures in place around prompts that are offensive—so please prompt responsibly!

At Spotify, we aim to deliver the right piece of music for that exact moment in time. With AI Playlist in beta, we’re excited to give Premium subscribers in the U.K. and Australia a new way to discover music. Over the coming months, we look forward to continuing to iterate on this new feature to best serve our listeners.

Start a Jam With an Assist From Your Favorite FC Barcelona Player

In September we unveiled Jam, giving music fans a new, personalized way to listen with friends and family. This collaborative experience lets Premium subscribers invite their whole squad to queue up songs together, and then enhance that experience with tailored group recommendations from Spotify.  

But we haven’t stopped the party there. Premium subscribers can now start Jam sessions from their mobile devices with an assist from their favorite FC Barcelona players. 

 

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Listeners can start a Jam with help from Barça stars Lewandowski, Pedri, Raphinha, and Balde—as well as Barça Femení players Alexia, Bronze, Salma, and Rolfö. Once your Jam session begins,  you and your fellow Barça fans can listen together with a few recommended tracks from your favorite players.

 

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To start a Jam with an assist from one of FC Barcelona’s star players: 

  1. Open Spotify on your mobile device and check that you have the latest version of the app installed.
  2. Click the link for one of the players below:
  3. Connect with your friends in one of three ways:
    • Turn on Bluetooth, then tap your phones together.
    • Have your friends scan the QR code on your host screen.
    • Hit “share” to send the link through social, text, SMS, and more.

This is just the latest exciting experience offered as part of our first-of-its-kind partnership with FC Barcelona, which also includes matchday playlists, player Blends, and more. To find more exciting FC Barcelona content, check out our dedicated hubs on Spotify and For the Record.

Keep the party going with song selections from FC Barcelona legend Ronaldinho on Barça Legends: R10.

Content Creator Irfan Junejo Shares His Favorite Restaurants, Artists, and Spotify Playlists

We love helping listeners discover new music on Spotify, and when it comes to features that help them find their next favorite song or artist, personalization tops the list. With Spotify playlists like Discover Weekly and daylist, playlist-enhancing features like Smart Shuffle and Jam, and curated, AI-powered experiences like DJ, nearly 2 billion music discoveries happen on Spotify daily.

But it’s not just fans who love discovery. Creators around the world are constantly sharing their favorite playlists, products, and people with their followers, which in turn helps their fans fall in love with the next best thing. And in For the Record’s ongoing Discovery Monday series, we connect with content creators and pick their brains about recent finds, whether it’s new music, podcasts, TV, food, beauty, technology, or fashion.

This month, we’re talking to Irfan Junejo, a Pakistani content creator who made his name exploring his hometown of Karachi. As his popularity has grown, he’s turned his attention to the world at large, where his curiosity about food, music, and cars leads him on a seemingly endless series of adventures for millions of fans to enjoy. 

What have you been up to lately? What new discoveries are you enjoying right now?

Over the past few months I’ve been experimenting with short-form content and having a lot of fun. I’ve also discovered a lot of new food places in Karachi that have now become a regular part of my life. For example, there’s a Chinese restaurant in Karachi called Wang Wang that I find myself going to again and again. Although that may be because my wife likes it more than me. 

But creating videos definitely helped me discover my passion for telling stories. And not just stories about my life, but the world around me. It could be something cool around Karachi, interesting street food, or the latest smartphone.

When you’re on the hunt for something new, what resources do you use? 

I love finding new things through word of mouth, especially from my journalist friends. Otherwise, a simple Google search is where I like to start when I’m curious about something.

Do you have a favorite video that you’ve made?

I’m especially proud of my latest video, Stories of Karachi Volume 3. This entire series holds a special place in my heart because these are the places where I have grown up. Being born and raised in Karachi, I have a deep connection to this city and my love for it resonates in every aspect of this video. Exploring the stories behind the names of Karachi’s neighborhoods has been a fascinating journey, and I was able to delve into the historical narratives, colonial influences, and events associated with these locations. I believe there’s a sense of representation in showcasing areas like Golimaar, Saddar, and Burns Road. 

You have a huge social media following—do you ever discover new things through these fans?

I get so many recommendations for new food and music when fans DM me or tag me in their stories.

What’s your favorite way to discover new music on Spotify?

Discover Weekly is a must for me, as well as Release Radar. I recently discovered a Dehli rapper named yungsta, and I’ve had his songs on repeat. 

Our Niche Mixes playlists can really help you discover your new favorite artist or song. What sort of music do you find in your Niche Mixes?

I listen to a lot of desi hip-hop so my Niche Mixes have a lot of desi rappers. But there are many indie artists that pop up there as well.

Tag along with Irfan as he discovers the world around him on his YouTube channel.

Coach Sydney Carter Breaks Down Her Biggest Style Inspirations, the Joys of Owning a Dog, and the Importance of Being Yourself

When it comes to the most-loved features on Spotify, personalization tops many users’ lists. Through Spotify playlists like Discover Weekly and Daylist, editorially curated standouts like Fresh Finds, and new playlist-enhancing features like Smart Shuffle and Jam, we love helping listeners discover something new. And our listeners’ thirst for auditory adventures continues to grow, with nearly 2 billion music discoveries happening on Spotify daily.

Creators around the world also love discovery and turn on their fans to favorite playlists, products, and people. In For the Record’s ongoing Discovery Monday series, we connect with content creators and pick their brains about recent finds, whether it’s new music, podcasts, TV, food, beauty, technology, or fashion.

This month, we’re talking to basketball coach extraordinaire Sydney Carter. After reaching the highest levels of the game as a player, Sydney is now making a name for herself as one of the best-dressed coaches in women’s basketball. But more than just helping her teams succeed on the court, Sydney has become a fierce advocate for gender equality and representation in sports and life.

What’s your favorite way to discover new music on Spotify?

I’m starting to get hip to a lot of things because these young kids, they’re listening to all this type of stuff and I’m still stuck on ’90s R&B like Aaliyah. But I typically like to search for an artist, find a playlist, and then go from there. And then you’ll have different artists in that same genre that are in the mix, so I get into new stuff by listening on shuffle. That’s the easiest way for people like me.

Are there any new podcasts that you’ve listened to or discovered lately?

I love Amanda Seales’ podcast Small Doses. And then I love the podcast Don’t Call Me White Girl. Mona, the host of DCMWG, just makes me laugh. She talks about things you hear in social media and just puts her own thing on it, which I love.

Are you an audiobooks fan? What’s your favorite way to listen?

During the early part of the pandemic, I got into listening to audiobooks. There was something about that experience of listening to a book that was working for me. So I would do it when I would work out. I was big on riding my bike during COVID. I was at home all day, and so instead of listening to music the whole time, I was also feeding myself with information.

As you’ve evolved from player to coach you’ve also grown into a prominent voice for women’s empowerment for your social media followers. Do you have a mantra or mentality for staying true to yourself and your passions as your journey continues?

I mean, I always like to say that representation matters. That’s my whole thing. I never intended for any of this to happen. I grew up in a time where we didn’t have social media, so it was never like, “Okay, let me do this so I can go viral.” People my age don’t immediately think about doing things to go viral.

There’s so many young women that I’ve seen over the years who are simply not comfortable being themselves. They’re worried about what people think. They’re worried about what social media comments will say. And so a lot of people have just told me, “You make me feel like I can do anything.”

And it doesn’t even have to do with basketball or fashion. They just think they can do anything by looking at me. So I’m very grateful for that.

What is most rewarding about your work helping women college athletes progress on and off the court?

Every day, I get to help a young woman get closer to living out her dreams, whether that’s pursuing a degree or playing basketball. And so the passion that I have for coaching stems from knowing that when I come across a young woman or a young individual, I know that I’m going to do whatever it takes to help them succeed. Or if we’re on the basketball court, I’m going to be able to help them and provide them with the tools they need. And so when you see a kid whose life you were able to touch, and then they go off and they go do things, there’s nothing better than that.

When you’re seeking something new, what tools or resources do you use?

Typically when I’m thinking about just new ways to be myself or just other ideas that I’m trying to come up with, I’ll find inspiration from Google, or social media, or somewhere else and think of how I can make it me. I’ve just gotten to a point where I don’t care if no one else likes what I’m into. I don’t care if someone else thinks this idea is completely insane. If I like something, it’s simply because I like it.

When it comes to fashion, you’re well-known for your sideline looks. How did you become interested in that world?

My passion for fashion started when I was a kid, and there’s a long history of me taking pride in how I look. I grew up in a family of seven kids. And so I grew up seeing my sisters be super dainty and everything, but I was a little rough around the edges. I love playing basketball, but I always wanted to be super prissy. If you ask me, my sisters and my mom were fashion queens. My mom was wearing the high-waist pants before we were, and she got me my first pair of boots when I was in the fourth grade, and I wore them every day. That’s why my family calls me “Boots” now.

And then even when I went on to college, people always knew I was going to come out with something that ain’t nobody seen before. And I might not have had all the money or anything like that, but I was going to find a way to at least find a couple of pieces that worked for me.

Did that change at all once you started coaching?

When I started working under the coach that I played for in college, he was always like, “You wear what you want to wear. You don’t let anybody tell you that this is too much or this is extra.” He was like, “Just be yourself.” I felt empowered by that and we actually started dressing up during COVID when all the other coaches were wearing quarter-zip sweatshirts and khaki pants. He was like, “We ain’t doing that. I don’t care if it’s just me and you on the sidelines, we’re going to look nice.” And so it was me and him dressing up to the nines, and it’s what I’m comfortable in. I feel like I’m putting my best foot forward for our kids if I’m looking my best.

What’s something new that you’ve discovered lately and fallen in love with?

I’ve always loved animals and I just got a dog. She’s about to be eight months old. So I am opening my eyes to the fact that my dog is not just a dog to me. She’s like a human being. And so I think I’m always searching for clothes and all types of toys for her.

And this is not necessarily just about her, but I’m at a point where I’m truly growing up and thinking about what’s next in life, and about having kids in the picture. My family, my sisters are having kids left and right and everybody’s looking at me like, “What you doing?” So I’m really starting to think about solidifying the life that I want and doing all the things that I’m doing with fashion, with my job, with a new animal. So yeah, I think that I’m just discovering all of the blessings of life in itself.

Stay up on Sydney’s courtside couture by following her on Instagram.

How Spotify Uses Design To Make Personalization Features Delightful

Every day, teams across Spotify leverage AI and machine learning to apply our personalization capabilities on a large scale, leading to the features, playlists, and experiences Spotify users have come to know and love. And when you spend your days working with emerging technologies, it’s easy to get transfixed by complicated new advancements and opportunities. So how do our forward-thinking teams ensure they can tackle this technical work while also prioritizing the experience of our users? 

That’s a question constantly on the mind of Emily Galloway, Spotify’s Head of Product Design for Personalization. Her team’s role is to design content experiences that connect listeners and creators. This requires understanding our machine learning capabilities as they relate to personalization to leverage them in a way that is engaging, simple, and fun for our users. 

“Design is often associated with how something looks. Yet when designing for content experiences, we have to consider both the pixels and decibels. It’s more about how it works and how it makes you feel,” Emily explains to For the Record. “It’s about being thoughtful and intentional—in a human way—about how we create our product. I am a design thinker and a human-centric thinker at my core. People come to Spotify to be entertained, relaxed, pumped up, and informed. They come for the content. And my team is really there to think about that user desire for personalized content. What are we recommending, when, and why?”

The Personalization Design team helps create core surfaces like Home and Search, along with much-loved features like Discover Weekly, Blend, and DJ. So to better understand just how to think about the design behind each of these, we asked Emily a few questions of our own.

How does design thinking work to help us keep our listeners in mind?

When you work for a company, you know too much about how things work, which means you are not the end user. Design helps us solve problems by thinking within their mindset. It’s our job to be empathetic to our users. We have to put ourselves in their shoes and think about how they experience something in their everyday life. A big thing to keep in mind is that when using Spotify, phones are often in pockets and people look at the screen in quick, split-second moments. 

Without design, the question often becomes, “How do we do something technically?” For those of us working at Spotify, we understand how or why we’re programming something technically in a certain way, but users don’t understand that—nor should they have to. What they need is to experience the product positively, to get something out of it. We’re accountable for creating user value. We really are there to keep the human, the end user, at the forefront. 

Without this thinking, our products would be overcomplicated. Things would be confusing and hard to use, from a functionality perspective. Good design is about simplicity and should largely remain invisible. 

But design is also additive: It adds delight. That’s what I love about projects like DJ or Jam that are actually creating connection and meaning. Design is not afraid to talk about the emotional side—how things make you feel. 

How does design relate to personalization?

Personalization is at the heart of what we do, and design plays an important role in personalization.  

Historically, Spotify’s personalization efforts happened across playlists and surfaces like Home and Search. But over time we utilized new technologies to drive more opportunities for personalization. This started from a Hack Week project back in the day to become Discover Weekly, our first successful algorithmically driven playlist. It then gave way to Blend, which was designed for a more social listening experience. And more recently, to DJ, our new experience that harnesses the power of AI and editorial expertise to help tell artists’ stories and better contextualize their songs. It utilizes an AI voice that makes personalization possible like never before—and it’s a whole new way for our listeners to experience Spotify’s personalization. 

When designing personalized experiences like these, we must think “content first,” knowing people come to Spotify for the content. Design ultimately makes it feel simple and human and creates experiences that users love. If recommendations are a math problem, then resonance is a design problem.

But we also have to have what I like to call “tech empathy”—empathy for the technology itself. My team, which is a mix of product designers and content designers, has to understand how the technology works to design our recommendations for the programming. Personalization designers need to understand the ways in which we’re working with complex technology like machine learning, generative AI, and algorithms. Our designers need to consider what signals we’re getting that will allow our recommendations to get better in real time and overtime. And when a recommendation is wrong, or a user just wants a different mood, we need to design mechanisms for feedback and control. That really came into play when we developed our AI DJ.

Tell us the story of the inception of DJ.

We’re always trying to create more meaningful connections between listeners and creators in new and engaging ways. And we use technology to deliver this value. DJ is the perfect example of how we’re driving deeper, more meaningful connections through technology.

Prior to generative AI, a “trusted friend DJ” would have required thousands of writers, voice actors, and producers to pull this off—something that wasn’t technically, logistically, or financially possible. Now, new technologies have unlocked quality at scale. Xavier “X” Jernigan’s voice and personality delivers on our mission of creating more meaningful connections to hundreds of millions of people. Generative AI made the once impossible feel magical.

To bring DJ to life we answered some core experiential questions knowing we are taking listeners on a journey with both familiar and unfamiliar music. We asked questions such as: What does it mean to give context to listening? How do we visualize AI in a human way? You can see this in how the DJ introduces itself in a playful way—owning that it’s an AI that doesn’t set timers or turn on lights. 

We also put a lot of thought into how we designed the character, since it is more than a voice. 

Ultimately, we really wanted to lean into making it feel more like a trusted music guide, as well as having an approachable personality. So much of our brand is human playfulness, so we made a major decision to acquire Sonantic and create a more realistic, friendly voice. And that led to Xavier training the model to be our first voice. His background and expertise made him the perfect choice.

With new technologies like generative AI, what are some of the new ways you’re thinking about your team and their work?

I’m challenging our team to think differently about the intersection of design and generative AI. We keep coming back to the conclusion that we don’t need to design that differently because our first principles still stand true. For example, we are still taking a content-first approach and we continue to strive for clarity and trust. We’ve realized that tech advancements are accelerating faster than ever, which makes design’s role more important than ever. 

Because there’s so much more complexity out there with generative AI, it means the human needs must be kept in mind even more. At the end of the day, if our users aren’t interested in a product or they don’t want to use it, what did we create it for? 

Emerging technology inspires you to think differently and to look from different angles. The world is trying to figure this out together, and at Spotify we’re not using technology to use technology. We’re using technology to deliver joy and value and meet our goals of driving discovery and connections in the process.

Futurist Sinéad Bovell Shares Her Favorite Ways To Explore Groundbreaking Ideas in Tech

On Spotify, personalization is one of the most popular features among listeners—and we love helping listeners discover something new. Spotify playlists like Discover Weekly and Daylist, editorially curated standouts like Fresh Finds, and new playlist-enhancing features like Smart Shuffle and Jam help to drive our listeners’ thirst for auditory adventures. Altogether, nearly 2 billion music discoveries happen on Spotify every day.

But it’s not just fans who love discovery. Creators around the world are constantly sharing their favorite playlists, products, and people with their followers, which in turn helps their fans fall in love with the next best thing. And in For the Record’s ongoing Discovery Monday series, we connect with content creators and pick their brains about recent finds, whether it’s new music, podcasts, TV, food, beauty, technology, or fashion.

This month, we’re talking with Sinéad Bovell, a futurist, educator, and fashion model. Sinéad has quickly built up a loyal social media following by helping people better understand the groundbreaking ideas in the world of technology that will help push our society forward. 

What have you been up to lately? Same old same old? Discovering a new you? Or somewhere in between?

It’s maybe somewhere in between. I think I really hit the ground running in September, and so to get ready, I intentionally made the end of August a little bit quieter. With work, there’s been a lot of travel, and a lot of canceled flights, but I’ve also found time to develop a lot of new habits, mindsets, and routines. So it’s a bit of work, but then also a lot of intentional growth and things.

What are some of those new habits?

I’m really intense about my morning routine. I wake up every day and I meditate. And then I put music on and dance. Even if it’s one song, and even if I have a day full of meetings, I still find time for that. Music and dance play a big role in my day. 

I’d say in times of stress, I intentionally make space the next morning to journal. And something new is that if I feel like I’m kind of off-balance or like I’m not on my A game, I’ll intentionally push a meeting back a little bit later so I can have that time in the morning to start with a better foundation.

You’re a futurist who focuses on topics like artificial intelligence, cybersecurity, and politics, and you’ve built a large social media following along the way. How did you establish this space as your niche?

I’ve always been inspired by how technology can be used to solve problems. And I’ve always thought that the more you understand and learn about the future, the better you can shape it. When I was doing my MBA, I studied under a futurist, and that was a time when the light bulbs in my head went off. I realized I could study all of this technology-related data, use that to build models similar to finance or statistics, analyze societal trends, and create forecasts.

In terms of the audience I’ve developed on social media, that was really inspired by my creative path as a fashion model. That’s where I realized creatives, artists—everyone wants to have conversations around technology and the future. But it seemed like only a certain, select group of people were being invited to those conversations. So I really tried to make my social media a place where everyone can digest and hopefully shape and understand the future. And I wake up every day and try to do that.

What is most rewarding about discussing forward-thinking ideas with your followers?

I think it’s empowering people to feel like they can design and cocreate the futures that they want to be a part of. That’s where it feels the most rewarding, especially when I get messages from people that say, you know, I changed my major in school or I spoke up in this meeting about this new technology or asked more questions. Those kinds of little messages really do go a long way for me and I try to reply to as many as I can. 

And in my own practice, I know that the more I understand, the more empowered I feel. So I also feel a responsibility to, in a sense, give back to the people. And I find it quite rewarding and inspiring.

When you’re more intentional about discovering something new, what tools or resources do you use?

I spend a lot of time reading white papers. I like to see what universities are up to, what they’re publishing, and who’s getting research grants. I also do things like review my past notes on a topic and then intentionally go back in to research that topic to see how things have grown or how that industry has changed and evolved. And then I also think discovery for me is, especially when it comes to futurism, asking the right questions to even be able to search and research and get in that mindset. 

Sometimes that means I just need to have a lot of silence, meditation, and intention. Or it can mean getting out of the house, doing a workout, and really getting my mind going and feeling more inspired and thinking bigger about the questions that I go into my research with. 

What’s your go-to comfort food? Are there any recipes or restaurants you’ve discovered lately? 

My go-to comfort foods have always been, and will probably always remain, grilled cheese and chocolate-covered strawberries. Chocolate-covered strawberries changed the trajectory of my life instantly and I take that very seriously.

I’ve also recently discovered a plant-based lentil Bolognese recipe that is really good, and in New York, there’s a Jamaican restaurant that I love called Ms. Lily’s. It’s definitely not something new I’ve discovered, but every time I eat there, I rediscover why I love it. 

Is there an artist or genre that you’ve recently discovered and love?

I would say Lojay, the Nigerian singer-songwriter. I discovered him at a party I was at during the United Nations Youth Summit. We were in Rwanda and the DJ played one of his songs. When I figured out what the song was, I just put his name into Spotify. And for the last year, I’ve just let Spotify use its AI to continue to show me new songs that are either by Lojay or similar to his sound. I’ve always loved Afrobeats, but I think this year it’s kind of gone to another level, and I think the music just keeps getting better. 

What’s your favorite way to discover new music on Spotify?

Smart Shuffle or the Daily Mixes. The Daily Mixes are so easy and quite accurate, so it’s a fun way to discover new music and see how it hypothesizes your taste. It’s fun to have that pleasant surprise that comes with discovery, but discovery that’s in line with you and that you didn’t even know you liked. 

Any new podcasts you’ve gotten especially into lately? 

Huberman Lab is a newer one for me. I’ve always seen clips, but the episodes are long, so you really have to take the time to listen to each episode, which takes a very science-based approach towards exploring how the brain works.

Science, of course, plays a big role in technology and how we unpack the future. Being able to kind of absorb ideas around personalized science and optimized learning is really important for me because I spend a lot of time doing research and work by myself. So the more I can understand the science of mindset and the science of work and all of that, the better.

Are you an audiobooks fan? What’s your favorite way to listen? 

In general, there are two types of listening that I do. One is much more industry based and the other is research based. In order to stay on the cutting edge of what’s happening in the industries I work in, I have to make sure that I read and reread. 

But when it’s books that are a little bit more for pleasure or a bit more for kind of personal growth or just curiosity, I really love listening to audiobooks. I find that I can get a bit more imaginative. And with audiobooks, I actually really make time for that in my schedule. Like this is actually going to be a part of your day where you can just enjoy listening versus being intense in reading and writing things down. 

So on a Sunday morning, I’ll take three hours, walk, and listen to a book about the brain or whatever it is that I’m listening to at the time. I’ve really enjoyed doing that. 

When it comes to the latest news and breakthrough ideas in tech, where do you typically discover those? 

It’s interesting because some of the breakthroughs that come in science and technology I’ve usually already tracked. It’s society’s response to them that is new or that’s more in the moment. I think social media has a lot of problems and we could have a whole conversation on what needs to change there, but it does offer a glimpse into what’s going on with culture—not always an accurate one, but an important one to tune into. 

So I do use social media to understand how society is responding to, absorbing, or rejecting breakthroughs in science and technology. Because if you think that there’s a big pushback like we’ve seen—not a tech backlash, but people waking up to a much more assertive stance on the world of technology and the world of artificial intelligence—that’s actually led to a measurable change. 

What’s something new that you’ve discovered lately and fallen in love with? 

The hour of getting outside before my day starts has been something that I take quite seriously. Before, I would just like to rush quickly, grab a coffee, and run back to my laptop. 

But now, recognizing getting outside as an intentional part of your day and how that actually impacts the brain is something that I’ve really fallen in love with and made sure that I have time for every day.

Learn more about Sinead’s work as a futurist by visiting her tech education company, WAYE.

Spotify Unveils Jam, a New, Personalized Way to Listen With Your Entire Squad

There are few things more powerful than connecting over a shared love of music. So over the past few years, Spotify has unveiled a wide range of new features, including Collaborative Playlists and Blend, that make sharing the music you love easier than ever. And fans love them: they’ve already created more than 45 million Blends. And in the past month alone, they’ve cumulatively spent over 200 million hours listening to the Collaborative Playlists they’ve created alongside those closest to them. 

Today we’re introducing Jam, a personalized, real-time listening session for your group to tune into together. Jam builds on some of our popular social features and combines them with our personalization technology to take real-time listening with pals to the next level. With Jam, Premium subscribers will be able to invite others to contribute through a shared queue and enjoy a musical experience made exclusively for everyone listening

How Jam works

Jam is rolling out for all Spotify users globally starting today—so make sure your app is up-to-date. Premium listeners everywhere can start a Jam and anyone on Spotify can join. Simply invite your squad and Jam will help you find the perfect songs to add to the queue, finding the overlaps in your listening preferences to deliver music recommendations that everyone will love. You’ll have the ability to see who’s added which track so you know whom to thank for that crowd pleaser, whether you’re prepping food together in the kitchen or enjoying games in the backyard.  

Once you start a Jam, you can invite a group of friends or family—Free or Premium users, or a mix—so they can share the experience. Premium listeners can join from wherever they are, whether they’re in the same room or across the world

To get grooving, select a playlist or song you’re feeling excited about. You’ll see a “Start a Jam” button by clicking the speaker icon at the bottom of your screen or by hitting the three dot menu within your favorite playlist or song. You can also select a device to play on, whether that’s your phone or speaker. Those in your household on your shared Wi-Fi will also be prompted to join the Jam when they open Spotify. 

You can then invite your squad in one of three ways:

  1. Turn on Bluetooth, then tap your phones together
  2. Have your friends scan the QR code on your host screen
  3. Hit “share” to send the link through social, text, SMS, and more

Everyone in the Jam can add songs to the queue, see who added which song, and receive recommendations, all from their own devices. The host also has the ability to determine who’s in the Jam, change the order of the tracks, or remove a song that doesn’t fit the vibe. 

Get ready for a deeper way to connect through the artists, songs, and albums that unite you—and to discover some unexpected gems with those around you.

*Update as of March 13, 2024: Jam is now available on Desktop, making listening together easier than ever. To start a Jam from Desktop:

  • Tap the three-dot menu, or right click on a playlist or song
  • Select start a Jam
  • Invite your friends through a share link or QR code to listen together, wherever you are, on desktop and mobile.

The Crossover Effect: Artist Collaborations Thrive on Spotify

The crossover collaboration is one of music’s great traditions. When artists from different genres, regions, or simply different career stages bring their talents together on a track, it’s sure to capture fan attention. It can even breathe new life into a song or group. 

When Run-D.M.C. linked up with Aerosmith in the ’80s to reimagine the latter’s single “Walk This Way,” it resulted in an international smash hit. It also helped birth the rap rock subgenre and still stands as Run-D.M.C.’s biggest hit. Decades after its release, the song has racked up hundreds of millions of streams on Spotify to date.

More recently, we’ve seen major crossover collaboration moments from the likes of SZA and Phoebe Bridgers on “Ghost in the Machine,” PinkPantheress and Ice Spice on “Boy’s a Liar Pt. 2,” and Taylor Swift and The National on “The Alcott.” 

While these collaborations offer new avenues for creative exploration, they also bring together each artist’s distinct fan bases, providing an opportunity for everyone involved to expand their audiences.

“I think one of the biggest things is how music collaborations can connect genres,” explains John Stein, Spotify’s North America Head of Editorial. “We see a lot more of these collaborations, and I think each artist’s core audience seems to be more open to these moments than in the past.”

It’s easy to see why artists love this approach, but how do fans respond? Are they listening more on Spotify when they discover a new artist on one of these songs? 

We took a look at more than 40 of the biggest crossover collaborations from the last 12 years and found that six months after the collab was released, 75% of artists involved saw an increase of at least 10% in overall Spotify streams across their catalogs compared to the six months prior. More than 50% of those same artists saw their number of streams grow by at least 50% in that same time period, while 30% saw their number of streams rise by at least 100%.

And while many of these collaborations are well received, some of them have been very well received.

There are few examples that paint this picture more clearly than Lil Nas X and Billy Ray Cyrus uniting on “Old Town Road – Remix.” In the six months following the song’s release, the increase in shared listeners between the two artists skyrocketed by nearly 390,000%.

For further proof, you can also look back to 2017, when Latin music icon Luis Fonsi joined forces with reggaeton godfather Daddy Yankee on “Despacito.” The song quickly caught on with fans around the world, but its popularity went into overdrive and the song became an inescapable tour de force when Justin Bieber hopped on the “Despacito (Remix)” three months later.

Luis in particular saw his fame reach unforeseen heights, and in the six months following the release of the original version, streams of Luis Fonsi on Spotify jumped by more than 2,600% (compared to the six months prior). 

But it was the remix, specifically, that helped to expand the Puerto Rican singer’s reach in English-speaking markets. Spotify streams of Luis Fonsi in the U.S., U.K., and Canada combined spiked by more than 4,300% in the six months following the release of “Despacito,” with most of that increase coming after the remix dropped. 

“When the ‘Despacito’ remix came out, it felt like a huge and rare moment to have artists from such different backgrounds and genre spaces collaborate and experience such success,” John says. “Now it feels like it happens all the time, and there’s almost a level of expectation that artists are going to mix it up and work with artists from different spaces. And I think we see that reflected in the data on the platform and in the reaction on our playlists.”

Such is the case with Nigerian afropop star Rema and American pop star Selena Gomez, who created a cross-continental connection on the 2022 hit “Calm Down.” 

“When Rema dropped the solo version of ‘Calm Down’ last year, it was doing really well in terms of streams, especially in Africa,” John explains. “Then, at the exact right moment, Rema teamed up with Selena Gomez on a new version of the track.”

In the six months following the collaboration’s release, daily Spotify streams of Rema in North America increased by more than 230% compared to the six months prior. Meanwhile, daily Spotify streams of Selena Gomez in sub-Saharan Africa increased by more than 120% in that same time period.

“With Selena being such a big pop star globally, I think the song reached an audience that checked it out to see what Selena was doing,” John says. “But they kept coming back because it was such a good song.”

And much like Lil Nas X and Billy Ray Cyrus, the respective fan bases of Rema and Selena Gomez started to merge together. In the six months following the release of “Calm Down,” the number of fans who listened to both artists increased by over 600%.

A springboard to success

For emerging artists, the crossover effect can help them break through in previously untapped markets, or help them define their musical identity on their own terms.

When Khalid had his breakthrough moment with his 2016 hit single “Location,” he was often labeled as an R&B artist. But after his 2017 collaboration with Alina Baraz—an artist who floats between the lines of pop, R&B, and electronic—on “Electric,” Khalid flashed his potential to be a pop star in the broadest possible sense.

And, like Luis Fonsi, Khalid is another artist who benefitted from the crossover effect. Following the release of “Electric,” streams of Khalid on Spotify spiked by more than 3,100% in the six months following its release (compared to the prior six months).

Building on the momentum of “Electric,” Khalid showcased his versatility as he hopped between genres on a number of high-profile collaborations. At every turn, the singer won over new fans, appearing alongside Alessia Cara on Logic’s “1-800-273-8255” and connecting with EDM producer Marshmello on “Silence.” To date, both songs have been streamed more than a billion times on Spotify.

“The editorial team used to have a lot of conversations about Khalid, and the general consensus was, ‘Wow, he is on everything,’” John reflects. “He has a really unique voice that brings a special quality to songs, so it makes sense in a lot of ways that he was finding success with those collaborations.”

Khalid’s fruitful run even included an appearance on Billie Eilish’s 2018 chart-topping juggernaut “lovely,” which has been streamed more than 2 billion times and remains his most successful song to date.

Amplifying crossover collaborations

In the streaming era, fans’ access to music isn’t limited by what’s on the radio or TV, or by what’s available at the record shop. With a few taps of the screen, fans have instant access to the catalogs of millions of artists.

So when a collaboration comes along that catches the ear of listeners, there are a variety of features on Spotify that both enhance the discovery process for fans and help expand the reach of those songs even further.

Many Spotify fans often start with search. And when they discover a new artist through a crossover collab, we’ve noticed a sizable jump in searches for that artist. 

When Grupo Frontera collaborated with Bad Bunny on “un x100to,” the star power of Spotify’s three-time most-streamed artist confirmed Música Mexicana’s status as an explosive genre on the rise.

In the two weeks that followed the release, daily Spotify searches for the Mexican sextet surged by more than 330% compared to the two weeks prior. At their peak, searches for Grupo Frontera increased by more than 1,100%.

The National experienced a similar bump from their collaboration with Taylor Swift, with Spotify searches increasing by more than 1,500% on the day of release.

For Spotify’s global team of editors, successful crossover collaborations also offer up a valuable signal that helps guide their curation of playlists. Every week, our editorial team sits down and discusses the latest cultural movements in the regions and genres they focus on. When a crossover collaboration starts to make waves, it can encourage editors to feature them in playlists they might not have appeared on before. 

“I know among our indie-focused editors, there was a discussion of the SZA and Phoebe Bridgers single and whether or not it was an indie track,” John explains. “While SZA might primarily be a pop or R&B artist, our editors overwhelmingly felt that it was an indie song, and having Phoebe on ‘Ghost In The Machine’ helped her open the door to Spotify’s core indie audience.”

Crossover collaborations can also appear on personalized playlists like Release Radar and Discover Weekly if a Spotify listener follows or regularly listens to one of the artists involved. When that happens, fans can easily discover the other artists.

“I think in the case of Ice Spice and PinkPantheress—with one being a rapper from New York and the other being a British artist who makes dance-oriented music—Release Radar has helped them both reach each other’s core audiences across genres and regions,” John says. “These types of collaborations can make listeners more open to checking out a new artist if they like what they hear.”

Spotify for Artists’ Fan Study has previously revealed that artists see their international reach increase significantly when they collaborate with someone outside of their home market. And we found the same to be true for Ice Spice and PinkPantheress. In the three months that followed the release of “Boy’s a Liar Pt. 2,” daily Spotify streams of PinkPantheress grew by nearly 250% in the U.S. (compared to the six months prior). Ice Spice, meanwhile, had a breakthrough moment in the U.K., with daily Spotify streams of her songs rising by nearly 1,400%. At the peak, daily streams for PinkPantheress and Ice Spice soared by more than 400% and 1,900% in the U.S. and U.K., respectively.

Taken altogether, the numbers on display here tell a powerful story about the crossover effect. This insight is invaluable, suggesting that the cross-cultural exchanges and expression of fresh ideas can lead not only to globe-expanding visibility, but the opportunity to forge new career paths. As the songs grow, so do the artists.

Spotify’s AI DJ Brings a Personalized Listening Experience to Fans in the UK and Ireland

In February we unveiled DJ, a personalized AI guide that understands you and your music taste so well that it does the choosing for you. Now we’re excited to start rolling out DJ in beta to Premium users across the U.K. and Ireland. 

At its core, DJ is all about connection and discovery. And thanks to DJ’s powerful combination of Spotify’s personalization technology, generative AI through the use of OpenAI technology in the hands of our music experts, and a dynamic AI voice, listening has never felt so personal. 

When we were deciding where to offer DJ next, the U.K. and Ireland just made sense. We have a team of local music experts on the ground in the region, and it’s where some of DJ’s fundamental technology has been developed.

We also know there’s demand: While we’ve seen fans across the globe asking for DJ, it was most commonly requested by users on social media in the U.K. and Ireland.* But don’t just take it from us . . .

 

When users in the U.K. and Ireland tune in they will be greeted by a stunningly realistic AI voice, modeled after Spotify’s own Head of Cultural Partnerships, Xavier “X” Jernigan. Plus, they’ll be served songs and context geared towards them. For example, users who tune in right around launch may hear about how Arlo Parks is releasing her newest album, My Soft Machine, at the end of May alongside her collab, “Phoenix,” with friend and longtime role model Phoebe Bridgers. And when it comes to an engaging listening experience, these moments of relevant context are winning DJ users over.

We’ve found that when DJ listeners hear commentary alongside personal music recommendations, they’re more willing to try something new (or listen to a song they may have otherwise skipped). On days when users tune in, fans spend 25% of their listening time with DJ—and they keep coming back. More than half of first-time listeners come back to listen to DJ the very next day.** 

And DJ has especially resonated with Gen Z and Millennials, who make up 87% of DJ users.***

But this is just the beginning. DJ is still in beta, and we’ll continue to iterate and innovate to evolve the experience over time.

Ready to give DJ a try? Just head to your Music Feed on Home in mobile.

*Results based on tweets between February 22, 2023 – May 11, 2023 from users with a publicly identifiable location.
**Results are based on eligible DJ users (Premium users in the U.S. and Canada on mobile) and collected from February 22, 2023 to March 1, 2023.
***Results are based on eligible DJ users (Premium users in the U.S. and Canada on mobile) and collected from April 28, 2023 to May 4, 2023.

Responsibly Balancing What Goes Into Your Personalized Recommendations

Every month, tens of billions of discoveries happen on Spotify. Personalized recommendations play an important role in our ability to match listeners around the world with the right content, tracks, artists, or creators at the right moment. Behind the scenes, we combine human editorial expertise with a multitude of signals and systems with the aim of providing every listener with a unique and safe experience. 

At Spotify we focus on delivering recommendations that are relevant, encourage diversity in listening, and provide the opportunities for artist and creator discovery. We spoke with Henriette Cramer, Director of Algorithmic Impact, and Amar Ashar, Head of Algorithmic Policy—both members of the Trust & Safety team—for a deeper look at algorithmic impact and safety. 

Why focus on algorithmic impact? 

Henriette: Algorithmically programmed experiences like Discover Weekly, Release Radar, and Made for You Mixes, or even Search, provide opportunities for artists and podcast creators to grow their fan bases. But while machine learning and algorithms enable these really important opportunities, we know we have a responsibility to mitigate unintended harms, ensure we represent a very wide range of global creators on our platform, and understand our impact.

Understanding our algorithmic impact requires extensive internal and external collaboration, and we approach this space through three channels: research, product engagement, and collaboration with external partners. It’s an ever-evolving field, and we’re proactively working with Spotify teams and external stakeholders to continuously improve our approach as we continue to learn

What makes Spotify unique, from an algorithmic perspective? 

Amar: People often talk about the “Spotify Algorithm,” but that’s an oversimplification. In fact, Spotify’s personalization is a combination of a variety of algorithms, along with editorial and data curation teams, all contributing to a unique experience for each listener.

Spotify editors play a crucial role within this space by using their expert judgment to curate playlists and help artists find new fans. They also work with algorithms to create highly situational and personalized experiences. We call this “algotorial”—bringing both the editorial and algorithmic worlds together. This collaboration is critical to the Spotify experience. Think of it this way: Algorithms don’t go out to concerts, people do, which is why human expertise is an essential ingredient in our recommendations. 

We just released a new AI DJ that delivers a curated lineup of music alongside commentary around the tracks and artists. How are teams at Spotify working together to make sure the safety of recommendations is prioritized?

Henriette: In general, ensuring we approach Spotify recommendations responsibly requires close coordination between lots of teams across product, policy, legal, and research. We work with each of them to provide guidance that’s reflective of our algorithmic equity and safety goals, and we use various tools, such as algorithmic assessments, that help us identify and solve problems before they happen. 

Spotify’s DJ takes a unique approach by combining Spotify’s personalization technology, generative AI in the hands of music editors, and voice technology. The expertise of our editors is something that’s really important to our philosophy. As we launch new features, we aim for appropriate safety measures and processes to be in place. The product has been tested in a closed environment for a while, and now that we have launched this product as a beta, we’ll continue to study and improve the experience. 

How does your team work with external partners to improve Spotify’s personalized experience?

Amar: Engaging with research communities outside of Spotify is imperative to do our work. That’s why we also continue to share our findings with the wider community, collaborate across sectors, and ensure, as an industry, that we keep learning and evolving existing practices. 

We also work closely with external partners through Spotify’s Safety Advisory Council, which includes an interdisciplinary group of experts who advise us on safety topics and bring expertise on recommendations, responsibility, and safety from a global perspective.

What’s your go-to playlist?  

Amar: Discover Weekly, not only because it’s consistently a great playlist that has introduced me to new artists and genres, but also because I’ve been lucky enough to have worked with the team that’s built this flagship product.   

Henriette: So many! I love editorial playlists like Techno Bunker, Queens of the Blues, or New Orleans Brass to really get into a genre. Since I worked on voice projects in the past, it’s been really nice to play with the new DJ beta and see editorial, tech, and design work shine together as we continue to study how we can use new techniques responsibly.

Spotify Debuts a New AI DJ, Right in Your Pocket

Meet your AI DJ on Spotify

Personalization is at the heart of what we do at Spotify—just think of fan-favorite playlists like Discover Weekly, or our annual Wrapped campaign. The beauty of these experiences is our ability to deliver the right piece of music for that exact moment in time, and maybe even connect you with your next favorite artist in the process. We’re building on that innovation by harnessing the power of AI in an entirely new way. And today, we’re excited to share that we’re taking our personalization to a whole new level with DJ

Ready for a brand-new way to listen on Spotify and connect even more deeply with the artists you love? The DJ is a personalized AI guide that knows you and your music taste so well that it can choose what to play for you. This feature, first rolling out in beta, will deliver a curated lineup of music alongside commentary around the tracks and artists we think you’ll like in a stunningly realistic voice. 

It will sort through the latest music and look back at some of your old favorites—maybe even resurfacing that song you haven’t listened to for years. It will then review what you might enjoy and deliver a stream of songs picked just for you. And what’s more, it constantly refreshes the lineup based on your feedback. 

If you’re not feeling the vibe, just tap the DJ button and it will switch it up. The more you listen and tell the DJ what you like (and don’t like!), the better its recommendations get. Think of it as the very best of Spotify’s personalization—but as an AI DJ in your pocket.

How our AI DJ works

To create the DJ we reimagined the way users listen on Spotify. The DJ knows you and your music taste so well that it will scan the latest releases we know you’ll like, or take you back to that nostalgic playlist you had on repeat last year. Never before has listening felt so completely personal to each and every user, thanks to the powerful combination of:

Spotify’s personalization technology, which gives you a lineup of music recommendations based on what we know you like. 

Generative AI through the use of OpenAI technology. We put this in the hands of our music editors to provide you with insightful facts about the music, artists, or genres you’re listening to. The expertise of our editors is something that’s really important to our philosophy at Spotify. 

We have experts in genres who know music and culture inside and out. And no one knows the music scene better than they do. With this generative AI tooling, our editors are able to scale their innate knowledge in ways never before possible.

A dynamic AI voice platform from our Sonantic acquisition that brings to life stunningly realistic voices from text.

To create the voice model for the DJ, we partnered with our own Head of Cultural Partnerships, Xavier “X” Jernigan. Previously, X served as one of the hosts on Spotify’s first (and personalized) morning show, The Get Up. His personality and voice resonated with our listeners and resulted in a loyal following for the podcast. His voice is the first model for the DJ, and we’ll continue to iterate and innovate, as we do with all our products. 

Where to find the DJ

Ready to have the DJ soundtrack your day? It’s rolling out in English starting today for Spotify Premium users in the U.S. and Canada. 

  1. Head to your Music Feed on Home in the Spotify mobile app on your iOS or Android device.
  2. Tap Play on the DJ card.
  3. Let Spotify do the rest! The DJ will serve a lineup of music alongside short commentary on the songs and artists, picked just for you. 
  4. Not feeling the vibe? Just hit the DJ button at the bottom right of the screen to be taken to a different genre, artist, or mood.

At Spotify we’re uniquely positioned to transform audio. We’re always looking for innovative new ways to improve our users’ listening experiences to meet their needs—so stay tuned for more.

*Update May 16, 2023: DJ is now rolling out in the UK and Ireland

*Update August 8, 2023: DJ is now rolling out in 46 more markets around the world

‘Exclude From Your Taste Profile’ Will Make Your Personalized Recommendations Even Better

Personalization is one of the most beloved Spotify features, with millions of fans using playlists like Discover Weekly and Blend to find artists and songs that they love. But for people who have specific playlists for specific activities—such as sleeping, working out, or parenting—their recommendations can sometimes over-index on songs and artists that don’t fit with their general listening habits.

We understand why you might not want kids’ music popping up in your Blend playlists, or white noise dominating your Discover Weekly. That’s why we’re introducing a new feature that will make personalization better than ever: the ability to exclude select playlists from your Taste Profile.

What is a Taste Profile?

Your Taste Profile is Spotify’s interpretation of your taste based on what you listen to and how you listen to it. It helps us personalize your Spotify experience by informing your recommendations and experiences with your taste summaries and personalized playlists, including your top songs and Daily Mixes.

How does Exclude from your Taste Profile work? 

With the touch of a button, Exclude from your Taste Profile lets you keep selected playlists from being included in your Taste Profile and reduces the impact they have on your recommendations. It allows you to tell Spotify which playlist you’d like to impact your recommendations less, tailoring Spotify’s personalization experience to your needs.

When you exclude a playlist from your Taste Profile, you can still easily find it in your Home tab, and “liked” songs within the playlist will also be unaffected. In that sense, you’ll still have easy access to your Pop 4 Kids playlist, but it won’t be heavily featured in your personalized playlists.

Once Exclude from your Taste Profile is enabled, it will exclude past and future listening of the playlist from your Taste Profile.

How do I set up my Exclude from your Taste Profile?

Our latest feature is rolling out to users on web, desktop, iOS, and Android starting today. Ready to give it a try? It just takes three simple steps:

  1. Select the playlist of your choice. 
  2. Tap the three dots near the top of the playlist.
  3. Select “Exclude from your Taste Profile.”

Note that if you have a change of heart later on, the feature can easily be turned off at any time using the same process.

We’re continuously working to find new ways to further improve the personalization experience by introducing ways to connect listeners, artists, and creators in a unique and enriching way. And now that you have the scoop on how Exclude from your Taste Profile works, there’s only one thing left to do: Stream your favorite audio on Spotify. 

Looking for more ways to make the most of our Personalization features? Check out Friends Mix, which is inspired by the songs your BFFs love.