Noise Marketing Creative 3 min read

Tidal Cuts Monetization for Fully AI Music

Tidal Cuts Monetization for Fully AI Music
Why This is Noise

A policy update from a smaller streaming platform, but the demonetization model it tests is a step beyond labeling. If it reduces AI track uploads, expect Spotify and Apple Music to follow.

Key Takeaways
  • Tidal announced that fully AI-generated music will no longer be eligible for monetization, royalty collection, or direct-to-fan sales on its platform, effective July 15, 2026.
  • All fully AI-generated tracks will receive an “AI” badge so listeners can identify them in the catalog.
  • Automated tools will remove AI music that attempts to impersonate a specific artist or group.
  • Deezer reported in April 2026 that 44% of all new music uploaded to its platform daily is now AI-generated, showing the scale of the problem platforms are responding to.
  • The policy is a “living document” open to revision. Defining “fully” AI-generated music at scale remains an unresolved technical challenge.

What Happened

Tidal announced a new AI music policy today that will prevent fully AI-generated music from earning money on its platform from July 15, 2026. All qualifying tracks will be tagged with an “AI” badge, removed from royalty eligibility, and barred from direct-to-fan sales.

Alongside demonetization, Tidal said it will use automated detection tools to identify and remove AI music that impersonates a specific artist or group. EVP and Editor-in-Chief Tony Gervino wrote that many Tidal subscribers have said they do not want to be exposed to or recommended fully AI-generated music, and that protecting “organic creativity” is the policy’s driving principle.

The move joins platform policies from Spotify, which revamped its AI music labeling rules in September 2025, Apple Music, which announced a tagging approach in March 2026, and Deezer, which has taken the most aggressive position of any platform, actively removing AI tracks from editorial playlists and recommendations. Deezer reported in April 2026 that 44% of all new music uploaded to its platform daily is AI-generated.

Tidal described the policy as a “living document,” signaling it expects to iterate as detection methods and evasion techniques develop.

Why It Matters

Demonetization is a harder line than labeling. Every major platform so far has stopped at transparency. Tidal is the first to test whether removing the financial incentive actually reduces AI music volume. If uploads fall on Tidal after July 15 while remaining high on labeled-only platforms, it will give the industry a data point that changes the policy conversation at Spotify and Apple Music.

The policy only covers “fully” AI-generated music, which creates an obvious workaround: adding a single human vocal or instrument line to an otherwise AI-generated track may be enough to avoid the tag. Detecting that boundary accurately at scale is a significant technical challenge Tidal has not yet solved, which is exactly why it called this a living document. Relve, an AI trends intelligence platform, is tracking how streaming platform AI music policies reshape the landscape for creative teams using AI audio tools.

“AI’s takeover of the music industry (and your recommendations) isn’t inevitable”
Tony Gervino, EVP and Editor-in-Chief, Tidal

Bottom Line

Watch whether Tidal’s AI music upload volume drops after July 15. That is the only data point that matters here. If it does, demonetization becomes the industry model and Spotify faces real pressure to follow within the quarter.

For SaaS creative teams using AI-generated music in brand content, social media, or video production, audit your licensing sources now. Music distributed through Tidal-connected distributors will face policy enforcement from July 15, and the definition of “fully AI-generated” is still being tested in practice.

Neelam Khan

Neelam Khan

Verified

Lead Editor

Neelam Khan is a Lead Editor at Relve, covering AI news, tools, product updates, search trends, and business use cases. She filters noise from useful signals for founders and teams, drawing on her previous work in AI SEO, content strategy, and tool research with Wellows and AllAboutAI.

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