Music distribution
& generative AI

1. Executive summary

• The distributors most clearly open to AI-generated content today are ONErpm, DistroKid, Ditto, Symphonic, Too Lost, RouteNote, Amuse and Horus Music, with different levels of restrictions.
• TuneCore applies a much more structural condition: if GenAI is involved at any stage, the model must rely on fully licensed datasets. Flow Music is publicly cited as an approved partner.
• Wiseband refuses works entirely generated by AI and requires a significant human contribution in the final version.
• iMusician expressly reserves the right to refuse content generated fully or partially by AI, even if Suno/Udio grants a commercial license.
• CD Baby currently refuses all AI-generated music content, even partial and even under a commercial license.
• The Udio case is atypical: Udio states that audio, video and stem downloads have been disabled since its UMG partnership. This guide’s Udio table therefore mostly concerns files already legally exported, or a future reinstatement of export.
• Suno keeps an export workflow, but has announced new download limits applicable on 3 September 2026: 20 tracks/month on Pro, 60 tracks/month on Premier, with exceptions for Suno Studio Premier.

4. Suno: rights, export and 2026 changes

Commercial rights

Suno states that songs downloaded during a Pro or Premier subscription carry commercial-use rights and can be distributed to platforms like Spotify or Apple Music. The wording changed between 18 August and 16 September 2026 (checked on the 16th): the help center previously covered songs “made” while subscribed, it now covers songs “downloaded” while subscribed. Since the caps took effect on 3 September, downloads are counted: the act that triggers the commercial right is itself now limited. Suno specifies, however, that a commercial license does not guarantee copyright protection.

• Paid plan at download time: commercial rights granted per the Suno help center. Creating a track while subscribed is no longer enough: it must have been downloaded while the subscription was running.
• Free plan: personal/non-commercial use. A subscription purchased afterwards does not automatically grant a retroactive commercial license to previously created tracks.
• Writing the lyrics, composition or arrangement yourself, or making an identifiable human contribution, can be decisive for copyright questions and for some distributors.
• Do not confuse "Suno allows me to monetize" with "all distributors and all DSPs must accept the file".
• Sources: Suno paid rights · Distribution to Spotify / Apple Music

"Licensed" models: an important nuance

Suno signed a partnership with Warner Music Group in November 2025, with BMG on 12 August 2026, then with Believe and TuneCore on 8 September 2026. On 9 September Suno launched its first models developed with the industry — v6, v6-mini and v6-wild — and is retiring the earlier ones. Believe states that “all tracks created by artists using Suno’s new industry partner model will become eligible to distribute through Believe and TuneCore”, with participating artists compensated and covered by the announced training protections, transparency tools and download limits. The practical consequence fits in one line: compliance depends on the model used, not on the Suno account. A track generated with an earlier model does not become eligible retroactively, and TuneCore’s published GenAI framework had not yet been updated accordingly as of 16 September 2026. WMG partnership · BMG partnership · Believe press release · v6 models

Sony Music: no Sony × Suno license agreement had been publicly announced as of 15 August 2026.

Suno Studio 2.0 (13 August 2026, checked 16 August). Suno shipped an update that turns its environment from an editor into a production suite: MIDI import, recording and editing, a wavetable synth, track and plugin automation, seven native effects (compressor, convolution, delay, distortion, EQ, gate, reverb) and a chat bar that reads the session and acts on it. No VST or AU compatibility: the plugins are Suno’s own, or the ones the chat bar builds. Suno calls it a generative audio workstation rather than a DAW, the difference being that the generation model lives inside the timeline itself. Premier-tier only, which also unlocks the third stem separation mode, Advanced Split. What matters on the delivery side: Premier subscribers export multitracks and stems at 32-bit / 48 kHz without limits, while from 3 September 2026 downloads are capped everywhere else on the platform. The production tool is also the only unlimited way out.

6. Suno / Udio operational table

9. Distributor choice scenarios

11. B2B / selective distribution players

For established labels and catalogs, other major players exist: The Orchard (Sony Music), FUGA, ADA (Warner Music Group), Virgin Music Group, IDOL, AWAL, Believe Label & Artist Solutions, etc. Their access is often selective or contractual and they do not necessarily publish a self-service "AI upload" page comparable to consumer aggregators. For these players, the applicable policy may live in the contract, catalog onboarding or internal content-review rules.

Chart eligibility. The common principles proposed in July 2026 by the three majors with BMG, Believe, Concord and HYBE are no longer just a proposal. On 30 July 2026, IFPI published global eligibility principles: a recording developed using generative AI is eligible only if the AI service is authorized and lawful, the recording is substantially human, there is no suspicion of stream manipulation, and the use of AI is disclosed to consumers on the platforms. Rolling out across thirteen directly managed charts, then some twenty national charts. In Australia, ARIA excludes wholly AI-generated tracks from the chart dated 31 August 2026 onwards, with AI in a supporting role still allowed if the recording is “substantially human made”. In France, SNEP has applied three cumulative criteria since May 2026, restated on 8 September: substantial human involvement, clear public disclosure of the use of AI, and an AI service that is authorized and compliant with the framework applicable in France. In Germany, BVMI published the principles for the Offizielle Deutsche Charts on 30 July, the same day as IFPI: essentially human creation with AI as a supporting tool, transparent disclosure of AI’s role and of creative responsibility, a duly authorized AI service; exclusion in case of concealment, unauthorized service or suspicion of manipulation. Luminate and Billboard took a different route: an “AI Generated” label rolling out in CONNECT, with no change to eligibility rules at this stage. The course of action is the same everywhere: disclose, keep the evidence of human input, and check that the tool used is licensed.

13. Content, provenance, identity

Method note. These three rules have different scopes. Beatport judges the degree of generation of the musical content. Apple judges the technical provenance of the Atmos master. Spotify introduces a signal about the artist’s public identity, distinct from credits describing AI use in the track. A Suno/Udio commercial license neutralizes none of these destination rules.

Beatport: new AI guidelines

Beatport updated its official position in August 2026 and expanded its partnership with Beatdapp to detect AI content at ingestion. Central rule: Beatport states it does not accept music "wholly or substantially generated by AI". Its 12 August release specifies that fully or majority AI-generated tracks are held at ingestion and not admitted to the platform. Music created with AI assistance can be admitted when the finished track remains mainly human; Beatport may then identify/label the AI assistance for its curation teams.

What Beatport does not define. No numerical percentage tells you at what threshold a track becomes "substantially" or "majority" AI-generated. You must therefore reason on primary authorship, performance, arrangement and artistic control of the final master, not on the mere number of hours of retouching.

Apple Music · Dolby Atmos: stereo upmix and de-mix forbidden

Apple’s rule is not phrased as a specific "AI" ban. It is broader and technology-neutral: a Dolby Atmos file generated from a stereo mix is not accepted. Apple requires a Dolby Atmos track to be created from the multitracks or from stems created from the multitracks, and explicitly forbids: upmixing a stereo release; extracting stems ("de-mixing") from a stereo release; and fake Atmos that merely places the stereo mix in the sound field with ambience or reverb.

Other Apple points (asset guide v5.3.19 of 8 September 2026, checked on the 16th). Apple broadened the wording of the ban: a Dolby Atmos file generated from a mono or stereo mix is not allowed. The specification now accepts a 48 kHz or 96 kHz source (96 kHz is converted to 48 kHz for output), still 24-bit LPCM. Two requirements previously phrased as recommendations are now mandatory: integrated loudness must not exceed -18 LKFS and true-peak -1 dB TP, measured per ITU-R BS.1770-4. Finally, the tolerance between the Atmos and the reference stereo moves from half a frame to 0.5 seconds per track boundary: beyond that, delivery is flagged for review without being blocked. Apple still asks that the Atmos be conformed and synced to the stereo reference of the same project, requires a unique secondary ISRC, and mandates an approved distributor or encoding house.

Spotify: AI Persona, recommendations and AI credits

In 2026 Spotify introduces a distinction between the artist’s public identity and how the track was created. AI Persona: a profile whose public identity represents a photorealistic AI-generated human can be declared by the artist or identified by Spotify. Badges have been displayed since the second half of September 2026, rolling out gradually in the app, and Spotify states there are two versions of the badge: “AI Persona” when the artist has identified themselves through Spotify for Artists, and “Likely AI Persona” when Spotify has reviewed the profile and determined it represents an AI-generated identity. Confirming by self-disclosing replaces the second label with the first; appealing is possible. Major consequence: by default, AI Personas’ music will be included in no editorial or algorithmic recommendation, unless a listener shows intentional engagement (for example by following the AI Persona).

Three points the announcement makes that most coverage leaves out. The badge will appear not only on the profile — banner and About section — but also in search results and next to tracks within playlists. Spotify will start by reviewing profiles that have reached defined audience thresholds, which it does not publish: an artist below those thresholds will not be reviewed at first, which protects them from nothing but does not flag them either. And in the coming months, listeners will be able to report profiles they think should carry the badge.

There is one badge, with two routes: self-declaration in Spotify for Artists, or assignment by Spotify after review. Selecting the badge shows the listener which applies. An artist badged by Spotify is notified and may confirm or contest.

What the badge does not say: Spotify states it plainly — it concerns the artist’s public identity, not how the music was made. For that, the platform points to AI credits, which rest on the artist’s own disclosure, and to SongDNA, whose source the announcement does not specify.

What this changes for a Suno/Udio project. For a real artist using AI as a tool, the AI Persona badge does not apply just because a track contains generated elements. Conversely, a commercial project built around a fake photorealistic human artist loses an essential share of Spotify discovery. Spotify had already stated that responsible AI disclosure was not meant to punish or demote a track just because the artist reveals AI use. Anti-spam and anti-impersonation rules remain applicable in parallel. Date note: the official AI Personas announcement is dated 11 August 2026; localized support pages are rolling out as of 15 August.

Disclosure and detection

Two labels, and what they cover (10 July 2026, checked on 17 September). IFPI, RIAA, A2IM, WIN, IMPALA, The Grammys and SAG-AFTRA launched a voluntary two-tier labeling program. “AI-Generated”: generative AI produced all or the main part of the creative elements. “AI-Assisted”: creation remains substantially human, the lead vocal and the main instruments are played by humans, and AI touches only certain expressive elements. These are the two terms already found in some distributors’ own conditions, Horus Music among them. One limit worth knowing: the program covers sound recordings only — not lyrics, composition, artwork or music video. Labeling program

Where the disclosure is actually written (checked on 17 September 2026). AI-use disclosure travels through DDEX, the exchange standard between distributors and platforms. Two points worth raising with your distributor: the generative-AI attribution fields were introduced in ERN 4.3.1, not in 4.3.2, which only fixes a data type — much of the trade press gets this wrong —, and the standard value in the DDEX dictionary is “avs:ContainsAI”. DDEX publishes no release date for 4.3.1: the date above is the date we checked, not the date of the standard. ERN release notes · DDEX dictionary

What a disclosure is worth (SH Labs, 17 August 2026, checked on the 18th). SH Labs, SubmitHub’s technology division, analyzed more than a million recordings submitted through its platform. Signs of AI use appear in close to 40% of tracks: 23.2% classified as fully generated, 15.3% partially. The number that matters is elsewhere: among artists whose music was flagged, 31% had explicitly declared no AI use. The measurement is possible because SubmitHub asks the question at submission and can compare the answer against its own detection — no one else holds both sides. What it means in practice: in a self-reporting system without verification, staying silent or lying costs nothing, which is why some platforms have stopped asking and started measuring. The same engine powers Traxsource’s labeling, alongside Sound Patrol.

SubmitHub blocks submissions detected as AI (September 2026, checked on the 16th). The promotion platform now refuses any submission scoring 85% or above on its detector, whether the track is classed “pure” or “hybrid”. Jason Grishkoff frames the decision commercially rather than morally: since Spotify keeps AI Personas out of its recommendations, selling promotion that is likely to fail would not be honest. The figures cited: roughly 11% of tracks uploaded in the previous month hit the threshold, that is 9% of submissions, with a 16% approval rate against 31% for the rest. Two points for an artist: writing your own lyrics and composition does not exempt a track, and there is no waiver process. Hot or Not and Meta Ads remain available.

AI Song Checker, broader method (update of 23 September 2026, checked on the 30th). Stem splitting no longer triggers only above 85% on a hybrid result: it now runs whenever possible AI is detected. Vocals and instrumental are analyzed separately, no longer to adjust a score downwards — that wording is gone — but to decide between hybrid, pure AI and something else. For a hybrid project, this is the first public method that explicitly separates the human vocal contribution from the rest.

Suno announces a fingerprint on what it generates (August 2026, checked on the 18th). Less than two weeks after its first-instance conviction in Munich, Suno announced that it would apply a digital fingerprint to the music produced by its models. The direction of travel is new: until now, detection was the business of platforms and distributors, against the generator; here it becomes a device of the generator itself. Two points to watch before acting on it: whether the fingerprint survives later processing — mastering, re-encoding, editing — and whether it is readable by the third-party detectors already used by distributors. As long as those two answers are missing, an announced fingerprint is a promise, not a disclosure.

Library variations: what status? (April 2026, checked 18 August). On 15 April, Splice launched three generative tools — Variations, Craft and Magic Fit — which do not generate from nothing but transform the sounds of its catalog of more than three million licensed, human-made samples: a new version of a sound, changes of structure, key and tempo, sounds turned into playable instruments, automatic adaptation to the harmonic context of the session. The creator of the original sound is compensated each time their sound serves as a source and each time a variation is downloaded, and every output remains traceable back to them. The terms of service also prohibit using the catalog as training data. Two points remain open, and they matter for a delivery: whether contributors gave explicit prior consent to this use is not addressed in the launch materials, and the question of whether these variations carry the same fingerprints as any other generation — hence whether they can trigger a detector — has been raised publicly without an answer. In practice: a track built on variations is not in the same position as a track built on raw samples, and nothing today guarantees that a classifier will tell the difference. Keep a record of what was used.

Revised matrix: 2026 consequences

Pre-delivery checklist

• Beatport destination: determine whether the master is mainly human or mainly generated. Do not treat a human mix/master as sufficient proof if the performances and arrangement come mostly from the generator.
• Apple Atmos project: document the provenance of the sources. Stems must come from the multitracks, not from a separation of the stereo master.
• Spotify: distinguish identity from creation. If the profile represents a real human artist, do not self-classify it as an AI Persona just because an AI tool was used in the music. Use role-by-role AI credits when the distributor allows.
• Virtual artist: anticipate the loss of Spotify recommendation before choosing a fully synthetic photorealistic identity as a brand strategy.
• Archiving: keep the Suno/Udio terms, session files, original multitracks/stems and dated screenshots of destination policies.

Conclusion. A 2026 strategy must now separate at least four levels: does the distributor accept the file; does the final DSP accept the degree of AI; does the technical format (notably Atmos) respect its chain of provenance; and does the artistic identity itself trigger a visibility or recommendation rule.

Training data