TuneCore's terms name which AI platforms it will not distribute

The distributor's own Terms of Service set a training-data-licensing test that decides whether generated music can go to stores.

Site publication

September 18, 2026

What happened

TuneCore, the distribution service owned by Believe, sets out a detailed AI content policy inside its own Terms of Service, as retrieved on 16 September 2026. Section 13, 'AI-Generated Content,' permits delivering tracks using machine learning or AI in their creation, labelled 'GenAI Content,' under conditions the terms spell out in detail. The company's own description of itself as the service helping artists 'sell their music through Spotify, Apple Music, Amazon Music, Deezer, TikTok and more than 150' stores is why this document matters: it is the gate a large share of independent AI-assisted releases pass through before reaching a store at all.

What the documents say

The terms require GenAI Content be 'generated using platforms that both (i) publicly represent that the recordings, compositions, or other materials used to train their generative models are licensed or otherwise lawfully obtained, and (ii) publicly permit the commercial distribution of the output,' calling these 'Permitted Platforms.' Anything else is a 'Prohibited Platform,' including tools that admit unlicensed scraping, tools ambiguous about their training data, and undisclosed open-source or locally run models. The terms state this applies even if AI generated only part of a work, vocals, beats, lyrics or artwork, though AI-assisted mastering or mixing of a human recording does not count. A separate 'Anti-GenAI Flooding Policy' prohibits 'industrial-scale production' submissions that prioritise 'quantity over editorial quality.'

Why it matters for makers

The mechanism is that the distributor, not the store and not the law, is the first checkpoint a generated track passes through, and it has built its test around a tool's public representations about training data rather than independent verification. A tool that says nothing about its training data is treated as prohibited regardless of whether its output is otherwise good; a tool that makes a licensing claim publicly is treated as permitted without TuneCore itself verifying that claim. The practical consequence for a maker is that the choice of generator, not just the output's quality, decides whether a track can be delivered at all.

What to check before you use it

This is a delivery checklist read from one distributor's current terms, not every distributor's rules. Before generating material for release through TuneCore, check whether the tool used publicly states its training data is licensed and permits commercial distribution of output, since the terms place that burden on the uploader. Keep a record of the tool's public statement at the time of generation, since a platform's representation can change later, and check the flooding policy's volume language before releasing multiple generated tracks in a short period.

• Does the specific generative tool used publicly state that its training data is licensed or lawfully obtained?
• Does that tool's terms permit commercial distribution of the output being uploaded?
• Could the release pattern here, volume, similarity, timing, read as 'GenAI Flooding' under this policy?

A distributor's own terms, not a court and not a platform's community guidelines, are currently doing the work of deciding which generative tools' output can reach a store at all. That is a private company's compliance test, worth reading in full before it is relied upon.

Sources & reading trail

States the AI-Generated Content clause: training data must come from a Permitted Platform, lists disqualifying Prohibited Platforms, and defines the Anti-GenAI Flooding policy.

Source published: Not established · Retrieved: 16 September 2026

States TuneCore is owned by Believe and distributes to Spotify, Apple Music and more than 150 stores, establishing it as the delivery gate the policy governs.

Source published: Not established · Retrieved: 16 September 2026

Papers, terms and official documents establish the record; the maker reading and the checks are Signal to Song editorial analysis. This retrospective draft does not imply the site published on the event date.

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Published September 18, 2026, not on the date of the event described.