A New Step in Confronting the Wave of AI-Generated Music
Music streaming platforms are increasingly finding themselves face to face with a growing challenge: millions of algorithmically produced tracks flooding their servers daily, with many competing directly against real artists for royalties and reach. Against this backdrop, Tidal has announced a new policy specifically targeting music created entirely by artificial intelligence, by cutting it off from all revenue streams on the platform.
What Does the New Policy Include?
Tidal clarified that the updated policy covers three key areas:
- Clear Labeling: Tracks identified as fully AI-generated will be marked with a visible "AI" badge next to their title, so listeners know in advance what they are about to hear.
- Revenue Cutoff: These tracks will be ineligible to collect royalties and will not be included in direct listener-supported income programs, eliminating the primary financial incentive for uploading them.
- Anti-Impersonation Measures: The platform will deploy automated tools to detect and remove any content that mimics the voice or sound of a specific artist or band, in order to protect artistic identity.
Tony Gervino, Tidal's Executive Vice President and Editor-in-Chief, emphasized that the goal is not to stand against technological progress itself, but rather to preserve genuine creativity and ensure that artists remain able to build and authentically connect with their audiences.
Why Now? The Broader Streaming Industry Context
Tidal is not alone in this direction — several competitors have already addressed the issue, though with varying degrees of strictness:
- Spotify: Revised its policies last year to introduce classifications for AI-generated content and improve filtering mechanisms for fake content, while acknowledging that AI tools will be used in diverse ways in music production.
- Apple Music: Has adopted a similar approach centered on tagging and classification.
- Deezer: Has taken a harder stance — removing AI-generated tracks from recommendation algorithms and editorial playlists. Its data reveals that 44% of music uploaded to its platform daily originates from AI. It has gone even further by offering users a tool to audit their playlists on other platforms.
Can Cutting Revenue Actually Curb the Problem?
Tidal's decision serves as a practical test of an important hypothesis: is denying AI-generated music its financial returns enough to stem the flood that platforms are experiencing? Most of those uploading such content do so for the financial gain, and removing that incentive could deter a significant number of them.
However, the issue is not quite so straightforward. Some may continue uploading purely for exposure, and technically defining "fully AI-generated" content is no simple task given the increasing overlap between digital tools and human creativity.
A Policy Still Taking Shape
Tidal has described its new policy as a "living document" that will be updated as the technological and legal landscape evolves, with the policy set to take effect on July 15, 2026. This flexibility is essential in a sector changing at a record pace, where the speed of technological innovation outstrips the ability of static policies to keep up.
Ultimately, the central question remains: how can the music industry embrace the potential of artificial intelligence without sacrificing the value of authentic human creativity? What is unfolding today at Tidal and elsewhere is only an early chapter in what promises to be a long and evolving debate.
✦ بقلم فريق دروب أيديا
DROPIDEA
We hope this article has added real value to you. At DROPIDEA, we always strive to deliver high-quality content that helps you grow and evolve in the digital space. Follow us for more useful articles and guides.
Tags
Admin
DROPIDEA
Latest Articles
Omen AI: A Smart Sensor Protecting Data Centers from the Bacterial Contamination Crisis
Robotic Hand Company Settles with Tesla and Raises $11 Million
TechCrunch Founders Summit 2026: A Must-Attend Event in Boston
Netris Raises $15 Million from a16z to Accelerate AI Cloud Deployments