Spotify is full of AI music

Spotify’s growing use of AI-generated tracks and low-paid “ghost artists” is seen by many as a way to cut royalty costs, especially for background or mood playlists where listeners aren’t focused on who made the music. Commenters argue this accelerates the treatment of music as fungible “content,” further undermining already-poor compensation and discovery for human musicians, and feeding into broader worries about an internet saturated with synthetic media. In response, people describe shifting back to buying files, using alternative services, or relying on radio and live shows, while criticizing Spotify’s bloated app and opaque recommendation algorithms.

Scope of the Problem: AI Music, Ghost Artists, and “Perfect Fit Content”

  • Many commenters say Spotify is increasingly filled with low‑quality, generic or artifact‑laden tracks that resemble AI output.
  • Separate but related: “ghost artists” or stock-music producers are allegedly commissioned cheaply and pushed into curated playlists to reduce royalty costs.
  • A linked exposé is cited describing Spotify’s “Perfect Fit Content” program: in contexts where users just want background sound, Spotify substitutes cheaper own‑brand tracks.
  • Some argue it’s unclear how much of this content is truly AI‑generated versus human‑made “ghost” music; the article is criticized as weakly evidenced on the AI claim.

Fairness, Compensation, and Impact on Musicians

  • Strong sentiment that AI and ghost music shortchange musicians whose work trained the models or shaped listener taste, yet who receive no additional compensation.
  • Streaming economics are criticized as exploitative even before AI; labels and big intermediaries are called the primary “cancer.”
  • Some note there is already massive oversupply of music, limiting earnings regardless; AI further crowds the field and may make viable careers rarer.

User Experience: Enshittification and Discovery Decline

  • Long‑time users report recommendation quality declining: more generic tracks, AI‑like songs, and playlist padding instead of meaningful discovery.
  • Complaints that playlists start with real artists, then degrade into indistinguishable slop.
  • Many dislike that Spotify’s incentives favor cheap, royalty‑light content (AI, ghost tracks, podcasts, audiobooks) over high‑royalty music.
  • App bloat (podcasts, audiobooks, promos) and non‑random “shuffle” behavior are recurring frustrations.

Ethics, Controls, and Detection

  • Calls for a hard toggle to exclude AI content, but skepticism that Spotify will add one due to financial incentives.
  • Some say they can’t reliably tell AI from human music, especially in ambient genres, making any control difficult.
  • Broader worries about “dead internet”/“dark forest” dynamics: content and even social interaction becoming bot‑dominated and untrustworthy.

User Responses and Alternatives

  • Many describe cancelling or planning to leave Spotify for Apple Music, Tidal, Deezer, Qobuz, YouTube Music, Bandcamp, SoundCloud, or offline libraries and local radio.
  • Others accept AI music for low‑stakes background use (coding, workouts, elevators) but want clearly human music for active listening.
  • A minority are enthusiastic about AI tools enabling non‑musicians or constrained musicians to realize ideas, while critics say this erases genuine creative labor.