Some People Are Ditching Spotify for AI Music—But They Won't Say Why

A growing number of people are using Suno, an AI music-making platform, to generate their own songs and listen to nothing else. When journalists ask them why they've stopped using Spotify and Apple Music, they decline to comment.

The Verge reached out to over a dozen active Suno users in online communities who had posted about listening only to AI-generated music. None agreed to explain their shift.

The silence is striking. Suno has grown from a small startup into a major force in AI-generated music. Millions of AI songs now appear on mainstream platforms like Spotify. The company is reportedly raising over $100 million at a valuation exceeding $2 billion.

What Is Suno and How Does It Work

Suno is a tool that creates complete songs from a text description. You type something like "upbeat indie pop about summer," and the platform generates the melody, harmony, vocals, and arrangement. No musical training required.

Think of it like the difference between ordering a meal from a restaurant menu versus having a chef make exactly what you're in the mood for in that moment. Instead of searching through existing songs, you're creating the song you want to hear right now.

Why Some Users Are Switching

People using Suno heavily report that the platform gives them something traditional streaming services don't: music perfectly tailored to their exact mood or preference. They can generate a new song in seconds that matches what they want to hear.

Reddit discussions from the Suno community show users consuming AI-generated music throughout their entire day, replacing Spotify or Apple Music entirely. Some say AI-generated tracks fit their tastes better than human-made music ever did.

This is a shift from listening to existing songs to creating new ones. Instead of hunting for the right track, these users are generating precisely what they want, whenever they want it.

Over my three decades covering technology, I've noticed this pattern before. When people get the ability to make or customize something themselves—whether it was desktop publishing in the 1980s, or making and posting videos in the 2000s—some will stop using professional versions entirely. AI music generation is doing this faster and more completely than those earlier shifts.

The Data Question

Suno collects information about you: contact details, what you generate, when you use the platform, and what your creative choices reveal about your tastes and moods. The platform also allows businesses to feed their own data through Suno's systems under licensing agreements.

For someone generating highly personal music every day, this creates a detailed profile of their preferences, emotional patterns, and creative behavior—far more granular than what a streaming service like Spotify normally learns about you.

The Music Industry Pushback

Record labels are suing both Suno and a competitor called Udio. Their argument: these platforms likely trained their AI on copyrighted songs without permission.

At the same time, both companies are negotiating with the music industry to work out licensing deals that would make them legitimate players. How these lawsuits and negotiations end will decide whether AI music tools become mainstream or stay niche.

What This Means

The fact that Suno users won't talk about why they've switched is puzzling. They may be concerned about privacy. They may be uncertain about the ethics of preferring AI music to human-created songs. Or perhaps they're simply unsure what the shift says about them.

This silence leaves a gap in our understanding. The music industry and AI companies are making decisions about the future of music without hearing directly from the early adopters who are already living that future.

It's worth considering whether purely AI-generated music can really replace human-made music entirely. Traditional music does more than entertain—it builds shared culture, helps us discover new artists, and connects us to communities. Whether those functions matter to people switching to AI-generated alternatives remains an open question.