Research reveals Spotify's AI algorithms disadvantage Australian artists, perpetuating 'rich get richer' cycle
Key Takeaways
- ▸AI-generated Spotify playlists rely on global listening patterns rather than regional preferences, disadvantaging local Australian artists
- ▸AI playlists draw from 75% fewer unique tracks than editorial playlists, reducing diversity and local music discovery
- ▸The algorithms create a self-perpetuating cycle where established US artists receive more exposure while less-established Australian artists struggle for visibility
Summary
A new study commissioned by the Victorian Music Development Office found that while Spotify's AI algorithms aren't directly "killing" Australian music, they do create conditions that make it difficult for less-established local artists to gain visibility. Researchers analysed 2.27 million music tracks across Spotify playlists from seven English-speaking countries and discovered that AI-generated playlists rely heavily on global (particularly US) listening patterns and draw from only a quarter as many unique tracks as human-curated editorial playlists. The research found that 77% of US tracks featured established artists, while only 22% of Australian tracks came from established artists—meaning the majority of Australian music is less likely to be recommended by AI. The algorithms perpetuate a self-reinforcing "rich get richer" dynamic where established artists receive more exposure through AI recommendations, which are then fed back to users, further disadvantaging emerging local talent.
- Unlike editorial playlists, AI recommendations struggle to surface regionally specific or diverse music
Editorial Opinion
While the study's finding that AI isn't 'killing' Australian music may sound reassuring, the underlying dynamics are arguably just as troubling. The research exposes a fundamental limitation of recommendation algorithms designed primarily to maximize engagement rather than foster musical diversity—they amplify what's already popular while marginalizing emerging talent. For streaming platforms genuinely committed to supporting local music ecosystems, this presents both a responsibility and an opportunity to implement algorithmic adjustments that actively promote geographic diversity alongside user preferences.
