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The AI Music Briefing #25: Everyone says AI tracks are draining the royalty pool. Who's counting?

The week of October 17 to October 23, 2026, when Goldman Sachs warned AI tracks could drain the royalty pool and Spotify's numbers pointed elsewhere, Believe and TuneCore artists got an AI remix opt-in, and Suno admitted it kept the recordings it trained on.

11 min read Published By Christopher Wieduwilt
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Issue #25 · the week of October 17 to October 23, 2026 · ~7 min read. The Friday read for music industry professionals working at the intersection of AI and the traditional music business. Curated by Christopher Wieduwilt.

What’s in store:

  • Top Story: everyone says AI tracks are draining the royalty pool. Nobody’s counting the right thing
  • Believe and TuneCore artists now get a yes or no on Spotify’s AI remix tool
  • Fontaines D.C. will ban AI from their videos by contract
  • The musicians’ union takes AI pay to the major labels on November 3
  • Suno admits in court it kept the recordings it trained on

Prefer to watch? My YouTube video this week covers different stories from the ones in this briefing, so it adds to this issue instead of repeating it:

My video briefing for the week of October 17 to 23, 2026, with different stories from this issue.

This week in AI music: Believe artists got an AI opt-in, and Fontaines D.C. got a no-AI clause

Believe and TuneCore artists can now opt in to Spotify’s AI remix tool. The musicians’ union wants that kind of consent for session players, and Fontaines D.C. are writing AI out of their contracts.

Also, Apple quietly bought an AI audio editor in June.

Believe and TuneCore sign Spotify’s AI covers and remixes deal, with a double opt-in for artists

Believe and TuneCore signed Spotify’s AI covers and remixes deal on October 20. Artists opt in twice, first to AI programs at all, then to Spotify by name, and remix streams pay the original’s rights holders. No price or per-stream rate yet.

Believe and Spotify logos side by side on a lime green background announcing their AI remix licensing deal
Image: Spotify

The AFM’s “Human Made, Human Paid” campaign takes AI pay to UMG, Sony and Warner

The American Federation of Musicians launched “Human Made, Human Paid” on October 20, asking for consent, credit and pay whenever musicians’ work trains AI. It takes that ask to UMG, Sony, Warner and Hollywood Records when contract talks resume November 3.

Human Made, Human Paid campaign site from the American Federation of Musicians with its petition button
Screenshot: Human Made, Human Paid (American Federation of Musicians)

Fontaines D.C. weren’t told AI was used in the “Marianne” video, and will ban it by contract

Grian Chatten said nobody told Fontaines D.C., their label XL or their management that AI was used in the “Marianne” video. The band will put a no-AI clause in future contracts.

Grian Chatten in Fontaines D.C.'s Marianne video, surrounded by figures with glowing eyes
Image: Fontaines D.C., 'Marianne' official music video, via YouTube (cropped)

Spotify reaches 306 million Premium subscribers as AI spend pushes operating costs up 26%

Spotify ended Q3 with 306 million Premium subscribers, and co-CEO Gustav Söderström says it stands to “thrive in the agentic age”. Operating costs rose 26%, with marketing, cloud and AI spend named as the main drivers.

Cover of Spotify's Q3 2026 Update beside the deck's image for its Muse AI agent integration
Images: Spotify, Q3 2026 Update (composite)

Musixmatch buys Music Reports, owner of the Songdex registry and Blokur

Musixmatch bought Music Reports, owner of the Songdex registry and Blokur, in its first acquisition in 16 years. Music Reports administers more than $400 million in royalties a year, and Musixmatch plans AI agents to match them.

Musixmatch and Music Reports logos side by side, marking Musixmatch's October 2026 acquisition of Music Reports
Logos: Musixmatch (CC0, via Wikimedia Commons) and Music Reports

ICMP says Google’s Gemini reproduces Kylie Minogue and Nick Cave lyrics as Australia weighs an AI training exception

Publishers’ body ICMP told Guardian Australia that Google’s Gemini reproduces Kylie Minogue and Nick Cave lyrics. It says Australia is the only one of 62 countries weighing a commercial AI training exception, and the inquiry reports in November.

ICMP logo beside photos of Kylie Minogue and Nick Cave over Australia's AI training copyright fight
Design: The AI Musicpreneur. Logo: ICMP. Photos: PhilipRomanoPhoto (CC BY 4.0) and Raph_PH (CC BY 2.0), via Wikimedia Commons (cropped)

Daisy the Great say ADHD Vision ads run a fake AI version of “The Record Player Song”

Daisy the Great say ads for the ADHD Vision app run a “horrible fake AI version” of “The Record Player Song”, with the same melody and rewritten lyrics. They’re “trying to fight it and having a hard time so far.”

Kelley Dugan and Mina Walker of Daisy the Great, the band behind The Record Player Song
Photo: Athen Smith, via Paste Magazine (cropped)

UMG licenses its catalog to TYGER, an app whose AI reshapes songs to react to gameplay

UMG licensed its catalog to TYGER, an app whose AI reshapes songs to react to gameplay in games like Fortnite and Valorant. UMG is the first major to sign, and neither company says what a play pays.

The TYGER logo beside the Universal Music Group logo, captioned as the first major music company on TYGER.
Logos: TYGER and Universal Music Group

Meomuru’s Suno-made “The Adult I Dreamed Of” reaches No. 3 on Melon’s Top 100

Meomuru’s “The Adult I Dreamed Of” hit No. 3 on Melon’s Top 100 on October 14, with his lyrics and a vocal made in Suno. Melon shows no AI label, and the song earns nothing from Korea’s songwriter society, KOMCA.

Album cover of Meomuru's "The Adult I Dreamed Of", a woman on an apartment walkway at dusk under the Korean title
Image: Meomuru (@meomuru_official), album artwork (cropped)

Apple bought Samplab’s AI audio editor in an asset deal that only surfaced in an EU filing

Apple bought Samplab’s AI audio editor, which turned recorded audio into editable notes, in a June asset deal that only surfaced in an EU filing on October 19. Samplab went offline on September 17.

Apple logo and Samplab logo side by side, marking Apple's June 2026 asset deal for the Swiss AI audio editor
Logos: Apple (public domain, via Wikimedia Commons) and Samplab

Arooj Aftab wants artists paid twice for AI, for training and for every new song it makes

Grammy winner Arooj Aftab wants artists paid twice for AI: once when it trains on their music, and again “everytime it uses what it learned from my music to make new music”.

Arooj Aftab in sunglasses at the Broadway opening night of Fear of 13 in April 2026
Photo: PhilipRomanoPhoto, CC BY-SA 4.0, via Wikimedia Commons (cropped)

Top Story: Everyone says AI tracks are draining the royalty pool. Who’s counting?

Headline card reading AI could add 10% to recorded music by 2035, beside the Goldman Sachs Music in the Air 2026 report cover
Image: The AI Musicpreneur, report cover: Goldman Sachs Research

The “AI flood” gets measured in uploads. Royalties get paid on streams. So cut the farms that game the streams, and leave the format alone.

Goldman Sachs doesn’t see it that way. Its Music in the Air report, out October 15, lists AI as a structural risk for labels:

“The traditional royalty payout model could be pressured as millions of AI-generated tracks entering the music streaming ecosystem divert a portion of the royalty pool away from human-created IP,” Goldman Sachs Research wrote.

And honestly, the math is right. Streaming pays out of one pot a month, split by each track’s share of streams. Close to 90,000 fully AI tracks reached Deezer every day in June.

How AI tracks could shrink human artists' streaming royalty share, per Goldman Sachs 2026
Design: The AI Musicpreneur, from Goldman Sachs Research, Music in the Air 2026, and Deezer

That warning rests on 2 beliefs: AI uploads turn into AI royalties, and someone has counted how much.

Spotify’s 1,000-stream royalty threshold already starves the AI farms

Since 2024, a Spotify track needs 1,000 streams in 12 months to earn anything. On October 20, Spotify said tracks that are likely AI-generated are 10 times more likely to miss that bar. It also took more than 50 million slop and spam tracks out of recommendations this year.

So 10,000 generated tracks at 40 plays each make 400,000 streams and $0. Goldman’s own caveat says the same thing: AI tracks only take money once they pass payout thresholds.

Spotify's 50 million tracks hidden from recommendations versus 75 million spammy tracks removed outright, with the 1,000-stream royalty threshold
Design: The AI Musicpreneur, from Spotify's October 20, 2026 update

So most of the flood never reaches the pot. The upload count and the royalty share are 2 different numbers.

Nobody has counted AI’s real share of the royalty pool yet

Spotify also deleted 75 million “spammy tracks”, and its post never says how many were made with AI. In court, the labels want DistroKid’s AI counts and Suno wants the MLC’s play data, both to argue whether AI hurt the market.

If the damage showed up in the numbers, nobody would need a subpoena to find it.

Goldman Sachs put AI music at 0.1% of the royalty pool a year ago

The last public estimate is Goldman’s own. Its June 2025 edition put AI music at 0.1% of the royalty pool, according to Music Business Worldwide. That number is more than a year old, and Deezer’s AI uploads went from over 20,000 a day to close to 90,000 since. But uploads are the part that doesn’t pay.

Measure AI’s royalty share in streams, then cut the farms

  • Measure AI’s share by the streams that clear the payout bar, never by uploads.
  • Cut the behaviour: mass uploads, duplicates, artificially short tracks, bot plays, AI passed off as human.
  • Leave the song people actually chose to play alone, however it was made.

My rule has a cost. Under the scoring Duke researchers used to hunt AI artists on Spotify, a new human act with 4 singles in a week, no Bandcamp page and no gigs lands in the same band as 8 of their 9 confirmed AI acts. Behaviour filters will hide some honest new artists with the farms. I’ll take that over cutting a whole format out of the pool.

Duke Sanford method: 5 Spotify accounts, 28 days, 76 artists scored, 9 confirmed AI
Design: The AI Musicpreneur, from the Duke Sanford Tech Policy Program report

Count the streams, cut the farms, keep the format.

AI Music Lawsuit Tracker: Suno admitted it kept its training recordings, and Reservoir sued for up to $337.8M

4 cases moved this week, and 1 of them is new. The other 9 on my tracker, including RIAA v. Udio, GEMA v. Suno and UMG v. DistroKid, did not.

Here’s what changed:

Reservoir v. Suno & Anthropic (new): up to $337.8 million over 1,050 songs and 853 lyrics

Reservoir sued Suno over 1,050 songs and Anthropic over the lyrics to 853 on October 21, from Joni Mitchell’s “Both Sides Now” to Madonna’s “Papa Don’t Preach”. With 2 DMCA claims on top, its maximum across both suits is $337.8 million. Anthropic will defend the case, and Suno declined to comment.

UMG & Sony v. Suno (v6): Suno admits it hasn’t deleted its training recordings

Suno answered on October 20 and admits it “has not deleted all of the sound recordings it has used to train its AI models”. It never says it stopped using them, and that’s the part the labels’ laundering claim against v6 leans on. Fair use is its first defense.

RIAA v. Suno: the labels want Suno investor Lightspeed to testify on training data risk

The labels asked a Boston court on October 13 to make Suno investor Lightspeed testify about the “legal risk of training data”, alongside the DistroKid and MLC data fights from the Top Story. No rulings yet.

Concord v. Anthropic: Judge Eumi Lee heard both fair use motions and hasn’t ruled

Judge Eumi Lee heard both sides’ fair use motions on October 21 and hasn’t ruled. The publishers cited almost 120,000 requests to Claude for “synthetic” lyrics in 6 months, and argument may run into early November.

→ Full case files and timelines

One thing to do this weekend: check which playlists your Spotify streams come from

Open Spotify for Artists and look at the playlists your songs get streamed from.

Goldman Sachs says “generic, functional, and background-oriented music categories face greater disruption risk” from AI. That’s lo-fi, sleep and study playlists, where AI tracks cost almost nothing to make.

If most of your streams come from mood playlists like those, that’s your exposure. Goldman expects “generationally recognizable catalog, superstar artists, and culturally relevant front-line IP” to hold up best.

About The AI Music Briefing

The AI Music Briefing is a weekly Friday read for music industry professionals working at the intersection of AI and the traditional music business. Curated and written by Christopher Wieduwilt, founder of The AI Musicpreneur. Browse every issue of the briefing.

Got a tip, a story, or a partnership idea? Reach out any time. Every message lands directly in my inbox.

— Christopher

About the author

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Christopher Wieduwilt

AI Music Educator & Journalist

Covering AI music tools, industry shifts, and news for music creators and professionals. Twice-weekly newsletter at aimusicpreneur.com.

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