I let Apple Music's new AI tool curate my playlists for 24 hours - and discovered new hits
I usually cycle through my years-old playlists, but I tried AI-generated ones for a weekend and found some key learnings.

For years, I've relied on my curated playlists to accompany me through daily routines, from commuting to unwinding. These playlists, meticulously assembled over the years, contain a mix of my favorite songs, each chosen for a specific mood or moment. However, during a recent weekend, I decided to step outside my musical comfort zone and let Apple Music's new AI tool generate playlists for me. The experience was both surprising and enlightening, revealing new hits that I had overlooked and offering insights into how AI can shape our musical journeys.
Initially, I approached the AI playlists with a sense of skepticism. After all, how could an algorithm understand my taste as well as I do? But curiosity got the better of me, and I began my 24-hour experiment. The AI suggested a variety of playlists, each tailored to different moods and genres. I started with a "Morning Vibes" playlist, which surprised me with a blend of familiar and unfamiliar tracks. The AI had incorporated some of my favorite artists but also introduced me to new artists and songs I hadn't considered.
One of the key learnings from this experiment was the AI's ability to identify patterns in my listening habits that I might have overlooked. For instance, the AI noticed that I often listened to certain genres during specific times of the day and incorporated those patterns into the playlists. This personalization wasn't just about matching my past preferences but also about anticipating what I might enjoy in the future. The AI's recommendations were often unexpected yet intriguing, prompting me to explore genres I hadn't dabbled in for years.
Another surprising aspect was the AI's knack for discovering hidden gems. During my 24-hour trial, I stumbled upon several songs that quickly became my new favorites. One track, in particular, caught my attention with its unique blend of genres and thoughtful lyrics. I hadn't heard of the artist before, but the AI's algorithm had somehow recognized the elements I enjoyed in music and curated a perfect fit. This discovery made me realize that AI could be an invaluable tool for unearthing new music that might otherwise remain obscure.
However, the AI wasn't without its limitations. At times, the playlists felt a bit too formulaic, with repetitive structures that didn't quite resonate with me. I also noticed that the AI struggled with certain genres, particularly those that are more niche or have a distinct regional flavor. In these cases, the AI's suggestions leaned heavily on mainstream artists, which felt like a missed opportunity to delve deeper into the genre.
Despite these minor hiccups, the overall experience was transformative. The AI's ability to learn and adapt based on my listening habits provided a fresh perspective on my musical preferences. It forced me to question my own biases and opened my ears to a wider range of sounds. Moreover, the AI's curation process highlighted the vastness of the music ecosystem, reminding me that there's always more to discover.
In conclusion, my 24-hour experiment with Apple Music's AI tool was both challenging and rewarding. While the AI couldn't replicate the emotional connection I have with my hand-picked playlists, it did offer a glimpse into the potential of AI in personalizing musical experiences. The key takeaway is that AI can act as a valuable ally in our musical journey, guiding us toward new discoveries and expanding our horizons. As technology continues to evolve, it's clear that AI will play an increasingly important role in shaping how we discover and engage with music. For now, though, I'll be keeping my AI-generated playlists as a refreshing alternative to my cherished, time-tested favorites.










