Spotify’s new AI Persona badge, live since mid-September, hides AI-generated artist identities from recommendations but leaves their royalties untouched. A widely shared October explainer reads the rules correctly. What it does not show is how narrow the badge is, and how differently Deezer, Qobuz and TIDAL have chosen to fight the same flood.
AI-generated music is now most of what gets uploaded to streaming services and almost none of what gets heard. Deezer says fully synthetic tracks passed 50% of its daily uploads in June 2026, about 90,000 a day, yet they make up only 1% to 3% of streams, and up to 85% of those plays in 2025 were fraudulent. Spotify’s answer, rolled out from mid-September, is a badge for artist profiles that look like invented people. It targets the identity, not the audio, and it cuts reach rather than pay. That choice is the real story, and it is easy to miss.
The Death of AI Artists Is Here (Everything Changes Now), premiered on 13 October 2026 by the Produce Like a Boss – AI channel, is a good example of how the change is being explained to producers. Its description and chapters walk through how the AI Persona badge works and answer a worry common among Suno users, that using AI tools could get them dropped. The video is also a promotion for the channel’s paid Paid to Make Music Week, which it advertises in its final chapter.
A badge for the face, not the sound
The video’s core reading matches Spotify’s own text. In its 11 August announcement, Spotify said it would review profiles whose name and imagery appear to represent photorealistic AI-generated identities, alongside profiles that disclose the status themselves. The badge appears on the profile banner, in Search and on track rows in playlists, and listeners can see whether the artist disclosed it or Spotify applied it. Artists flagged by Spotify are notified and can disclose or appeal.
The consequence is the part the video rightly calls the one that matters. By default, AI Personas are left out of editorial and algorithmic recommendations unless a listener follows them. They are not removed. Search, plays and follows still work.
The video also says Spotify is not punishing producers for using tools such as Suno, and Spotify’s wording supports that. The company says the badge concerns the artist’s public identity, not how the music was made. Information about production sits in a separate system, AI Credits, where artists disclose which parts of a song used AI.
Limits the explainer leaves out
Three details change how far the badge actually reaches. First, Spotify said it would start with artists who have met defined audience thresholds, covering the profiles users visit most. A content farm with thousands of small, faceless profiles is not the first target. Second, the review test is photorealism. A project that uses an abstract logo or a cartoon avatar presents no fake human face, and the announcement does not say how those cases are treated.
Third, the transparency tools around the badge depend on disclosure. Spotify itself notes that because AI Credits rely on artists and distributors declaring use, the absence of a credit does not mean AI was not used. The listener-reporting tool the company promised in August for the months ahead does not appear in its October update. By 20 October, Spotify said thousands of AI Personas had been labelled. That is a small number next to the volumes Deezer reports.
None of this makes the video wrong. It describes the policy as written. But a producer who concludes that only obvious fake singers are affected, and that everything else carries on as before, is reading a narrow rule as a settled one.
From “treated equally” to out of the feed
The badge marks a change in Spotify’s own position. In September 2025, announcing a spam filter and new impersonation rules, the company wrote that all music is treated equally, regardless of the tools used to make it. Eleven months later it decided that a whole category of artist would not be recommended by default. The distinction Spotify draws, identity rather than tools, is coherent. It is still a shift from neutrality to curation.
Other measures point the same way. Spotify says it has taken more than 50 million slop and spam tracks out of recommendations in 2026 and removed more than 75 million spammy tracks outright. The second figure is the one it gave in September 2025 for the previous 12 months, so the October update does not show how many removals happened since. Spotify also reports that tracks with strong AI indicators are 10 times more likely than others to fall below its 1,000-stream royalty threshold, which has been in place since 2024.
Rival services chose the wallet
Spotify is the only major service labelling artist identity, as it points out. Its competitors went after the audio and, in one case, the money. TIDAL said in June that it would tag wholly AI-generated music and pay no royalties to such releases, while still accepting them. Deezer detects AI audio with its own tool, excludes it from recommendations and plans to take down AI tracks used for fraud or left unstreamed for six months. Qobuz tags releases it identifies as AI-generated, keeps them out of editorial and algorithmic picks and has de-indexed about four million tracks with no listening.
Gearnews, reviewing Spotify’s announcement in August, argued that targeting visibility instead of payouts was the easier path, since the incentive for mass uploads remains. That criticism has weight. A persona that is not recommended still earns from the streams it gets, including any that reach it through searches, external links or manipulation that the fraud systems miss.
Uploads soar, listening barely moves
The pace is steep. In April, Deezer was receiving about 75,000 AI tracks a day, 44% of uploads, and an AI-generated song had just topped iTunes charts in five countries. Still, the numbers from rivals suggest the threat is less about listeners switching to machine-made songs and more about fraud and dilution. Qobuz says AI-identified tracks account for 0.38% of its streams, and that 60% of plays on them are flagged as fraudulent and excluded from payouts. Deezer reports 1% to 3% of streams with up to 85% fraud. Deezer’s survey of 9,000 people in eight countries also found that 97% could not tell fully AI-made songs from human ones in a blind test, while 80% wanted such music labelled.
Read together, these figures support Spotify’s reach-first logic for listeners: most AI uploads die without an audience once recommendations are closed. They support TIDAL’s money-first logic for rights holders, because the plays these tracks do get are disproportionately fake. Neither policy alone covers both problems.
Practical steps for producers using Suno
For a working producer, the useful reading of the video holds. Using AI tools inside a track does not by itself trigger the badge. Presenting a photorealistic invented singer as a real artist does, and that costs algorithmic reach. Three practical steps follow from Spotify’s own rules: present a real, identifiable person on the profile, disclose AI use through a distributor that supports AI Credits, and use the appeal route if a badge is applied in error.
The broader judgment is less comfortable. Spotify has drawn a clear line around identity while leaving the economics of AI uploads to its spam filter and royalty threshold. Whether that is enough will show in two places: whether the label spreads beyond high-traffic profiles once listener reporting goes live, and whether Spotify eventually follows TIDAL in withholding pay from music it believes no human made.
Author:
Jan Bielik
CEO & Founder of Webiano Digital & Marketing Agency
This article is an original analysis supported by the sources cited below
The Death of AI Artists Is Here (Everything Changes Now)
The 13 October 2026 explainer examined here, whose description and chapters summarise the AI Persona badge, its effect on recommendations and the question of Suno use, and promote a paid event.
Introducing a New Label for AI-Generated Artist Identities on Spotify
Spotify’s announcement of the AI Persona badge, the photorealism test, the audience thresholds, appeals and the default exclusion from recommendations.
One Year In: Putting Human Artistry First on Spotify
Spotify’s October update on thousands of labelled personas, 50 million tracks pulled from recommendations, 75 million removals and AI tracks failing the 1,000-stream threshold.
Spotify Strengthens AI Protections for Artists, Songwriters, and Producers
The September 2025 policy stating that all music is treated equally regardless of tools, and that a missing AI credit does not mean AI was not used.
Spotify will label ‘AI Persona’ profiles and exclude their music from recommendations
Independent report confirming the review process, appeals, the coming listener reports and the link to Spotify’s broader AI policy.
Spotify Labels AI Artists With “AI Persona” Tag and Cuts Them From Recommendations
Analysis noting that royalties for AI Persona tracks continue and arguing that cutting visibility rather than payouts leaves the upload incentive intact.
Deezer: AI music has surpassed 50% of new music uploads for the first time
Deezer’s figures on 90,000 AI tracks a day, 1% to 3% of streams, up to 85% fraud and its survey on listeners’ ability to tell AI from human music.
Qobuz starts tagging AI-generated music in its app
Report on Qobuz’s AI tag, 0.38% stream share, 60% fraud rate and four million de-indexed tracks.
Deezer says 44% of songs uploaded to its platform daily are AI-generated
Independent report on Deezer’s April figures of 75,000 AI tracks a day and an AI-generated song topping iTunes charts in five countries.
TIDAL to automatically tag AI-generated music and block it from earning royalties
TIDAL’s June 2026 policy accepting fully AI-generated music while refusing to pay royalties on it.
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