Tidal won’t pay royalties on AI-generated music but isn’t banning it outright
Tidal shared its new policies regarding AI-generated music today and how the platform plans to "protect artists" and "inform listeners." Instead of banning it outright, starting on July 15th Tidal wil
Tidal shared its new policies regarding AI-generated music today and how the platform plans to "protect artists" and "inform listeners." Instead of ba
Read Full Story at The Verge →Why This Matters
Tidal’s decision to avoid outright bans on AI-generated music while refusing to pay royalties on it highlights a critical tension in the streaming era: the erosion of traditional artist compensation as technology redefines creativity. By carving out a middle path, the platform risks normalizing a two-tiered system where human artistry is incentivized while machine-generated content operates in a legal gray zone.
Background Context
Tidal, once positioned as the anti-Spotify by Jay-Z, has long emphasized artist-first policies—though its credibility has been clouded by ownership changes and shifts in market strategy. The music industry’s royalty structures were designed for human creators, but AI’s rapid integration into production tools has outpaced policy updates, leaving platforms scrambling to define boundaries without stifling innovation.
What Happens Next
Artists may push for clearer labeling of AI-assisted tracks, while platforms could face pressure to distinguish between fully automated works and human-AI collaborations in royalty calculations. If Tidal’s model gains traction, it could pressure competitors to adopt similar policies, potentially fragmenting the industry’s approach to AI and creating uneven playing fields for creators.
Bigger Picture
This reflects a broader pivot in creative industries, where AI’s role is reshaping labor economics and intellectual property norms. As tools like AI music generators lower barriers to entry, the debate isn’t just about royalties—it’s about whether the value of artistry can be preserved in an era where machines can replicate it at scale.
