I used Apple Music’s new AI tool to break out of my music rut – and it worked


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ZDNET’s key takeaways

  • Playlist Playground debuted in iOS 26.4.
  • This feature allows users to create AI-generated playlists from a prompt.
  • It’s easy and quick, but not always a home run.

When I was younger, I spent lots of time discovering new music and curating playlists filled with songs that captured every mood I was in and activity I regularly engaged in, ranging from angsty melancholy to driving down the highway on a sunny day. As more adult responsibilities entered my life, I’ve had less desire to discover new music and more desire to find solace in my favorite tracks from the past; it’s probably been years since I dedicated hours to a new playlist.

Also: Spotify vs. Apple Music: I’ve subscribed to both streaming services, and prefer this one

Enter Apple Music‘s Playlist Playground, a new feature in iOS 26.4, that uses generative AI to create a playlist from a prompt you provide. This prompt can include anything from “make a playlist with songs that have a similar vibe to Tame Impala’s ‘Breathe Deeper,'” to “create a playlist where every third word of the tracklist is the word ‘love.'”

So, I let Apple Music create AI-curated playlists for me over the weekend, asking for ones to walk through the city, complete a high-intensity workout, and help me stay focused while finishing some weekend work. Here’s how it went.

An after-work stroll through Atlanta

Playlist Playground

Jada Jones/ZDNET

I was running a few errands in Atlanta on Friday evening and needed a playlist to serve as background music during my main character moment. Years ago, when I was living and finishing my degree in Atlanta, I made a playlist for my afternoons walking around my downtown college campus, and the AI-generated playlist couldn’t have been more different.

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I directed Playlist Playground to create a playlist for “walking through the streets of Atlanta on a sunny day.” When I think of Atlanta and music, I think of dirty south rappers like Ludacris, OutKast, and Ying Yang Twins, or modern trap superstars like Young Thug, Gunna, Future, and Migos. In hindsight, I realize that my prompt was off, and my expectations of the AI weren’t clear enough, as Playlist Playground has a different association of the words “music” and “Atlanta” than I do.

That said, my Playlist Playground featured selections from Harry Styles, Weezer, Maroon 5, and Katy Perry; all were songs that I like, but didn’t quite fit what I was in the mood for at that specific moment. I’ll pass on this playlist and stick to my own or turn to Apple’s “Atlanta Hip-Hop Essentials” playlist.

A Saturday afternoon workout

Playlist Playground

Jada Jones/ZDNET

My gym playlist often goes stale, as I’m not someone who can listen to just anything when I’m mustering up the motivation to work out after a day at work. Rarely do I actually listen to music while working out, and I just need something with enough bass and beats per minute to push me through a heavy lift.

I find myself replaying Black Eyed Peas’ “Boom Boom Pow,” Jennie’s “Like Jennie,” and Lady Gaga’s “Abracadabra” throughout my hour-long workout, so I was due for some variety. After my Atlanta-themed playlist didn’t go as planned, I realized I needed to be more specific with Prompted Playlists to get my desired results.

Also: Spotify vs. YouTube Music: I tried both streaming services, and this one was the better deal

Instead of simply asking for a gym playlist for a heavy lift Saturday afternoon, I specified that I wanted a high-intensity playlist featuring hip-hop and pop songs with a higher beats-per-minute (BPM). I got exactly that: “Guap” by Big Sean (146 BPM); “Time of Our Lives” by Pitbull & Ne-Yo (124 BPM); “MotorSport” by Migos, Nicki Minaj, and Cardi B (138 BPM), plus 47 other songs. I checked each song’s BPM on SongBPM.com, and according to Planet Fitness’ website, the ideal BPM range for strength training is 120 to 140.

This gym-inspired Playlist Playground got the job done, and with nearly three hours’ worth of songs, I had plenty of music to sustain my workout.

Sunday productivity, focus, and alertness

Playlist Playground

Jada Jones/ZDNET

My work playlist changes depending on the day; when I’m doing less intensive tasks, I can listen to my favorite music, but when I’m deep in thought while writing, lyrics can throw off my writing flow. However, when music is too soft and fades into the background too much, I get distracted and lose focus.

Also: Spotify’s Prompted Playlists feel like a smarter way to discover music – how it works

I rarely turn to Apple’s curated playlists during my heads-down work time, as they don’t strike the balance I need to achieve optimal flow. So, I asked Playlist Playground to create a playlist featuring lo-fi beats, binaural beats, and coffeehouse jazz tracks that promote focus and productivity for my Sunday morning. The playlist included several songs from each genre, giving me 29 songs for one hour and 25 minutes of listening.

The variety of genres and tracks was great for me, and I listened to the entire playlist while I worked. I’ll keep this one in my library.

My verdict

Apple Music’s Playlist Playground feature is great for making a playlist in an instant for passive listening, such as when you need one for a gathering, to play in the background while working, driving, or exercising. Still, you’ll need to be specific about the vibes, genres, artists, and goals you’re aiming for to achieve your desired results.

Also: Spotify got another price increase, but I found a cheaper alternative (with the same Premium benefits)

If you like the playlists made by Playlist Playground, you can alter them by adding music from your library, choosing from Apple Music’s suggested songs, changing the thumbnail, adding a description, and making it your own. However, there are times when a playlist is an intentional act, like making one for someone you love, one that accommodates everyone’s tastes during a road trip, or a sing-along among friends. To accomplish that, context and memories are required, which the AI doesn’t have.

If you’re in a particular mood to hear certain songs, or associate songs, genres, or specific artists with feelings, the AI is less likely to be on the same page as you. You’ll get songs that capture the general vibe you’re describing, but to curate playlists that capture deeper thoughts, feelings, or memories associated with music, you’ll have to do it yourself.





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A new class-action lawsuit, filed on Monday by three teenage girls and their guardians, alleges that Elon Musk’s xAI created and distributed child sexual abuse material featuring their faces and likenesses with its Grok AI tech.

“Their lives have been shattered by the devastating loss of privacy, dignity, and personal safety that the production and dissemination of this CSAM have caused,” the filing says. “xAI’s financial gain through the increased use of its image- and video-making product came at their expense and well-being.”

From December to early January, Grok allowed many AI and X social media users to create AI-generated nonconsensual intimate images, sometimes known as deepfake porn. Reports estimate that Grok users made 4.4 million “undressed” or “nudified” images, 41% of the total number of images created, over a period of nine days. 

X, xAI and its safety and child safety divisions did not immediately respond to a request for comment.

The wave of “undressed” images stirred outrage around the world. The European Commission quickly launched an investigation, while Malaysia and Indonesia banned X within their borders. Some US government representatives called on Apple and Google to remove the app from their app stores for violating their policies, but no federal investigation into X or xAI has been opened. A similar, separate class-action lawsuit was filed (PDF) by a South Carolina woman in late January.

The dehumanizing trend highlighted just how capable modern AI image tools are at creating content that seems realistic. The new complaint compares Grok’s self-proclaimed “spicy AI” generation to the “dark arts” with its ease of subjecting children to “any pose, however sick, however fetishized, however unlawful.”

“To the viewer, the resulting video appears entirely real. For the child, her identifying features will now forever be attached to a video depicting her own child sexual abuse,” the complaint reads.

AI Atlas

The complaint says xAI is at fault because it did not employ industry-standard guardrails that would prevent abusers from making this content. It says xAI licensed use of its tech to third-party companies abroad, which sold subscriptions that led abusers to make child sexual abuse images featuring the faces and likenesses of the victims. The requests ran through xAI’s servers, which makes the company liable, the complaint argues.

The lawsuit was filed by three Jane Does, pseudonyms given to the teens to protect their identities. Jane Doe 1 was first alerted to the fact that abusive, AI-generated sexual material of her was circulating on the web by an anonymous Instagram message in early December. The filing says she was told about a Discord server by the anonymous Instagram user, where the material was shared. That led Jane Doe 1 and her family, and eventually law enforcement, to find and arrest one perpetrator.

Ongoing investigations led the families of Jane Does 2 and 3 to learn their children’s images had been transformed with xAI tech into abusive material.





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