Spotify says it has taken more than 50 million “slop and spam” tracks out of its recommendations so far this year. The figure comes from a one-year update on the AI protections the streaming service announced in September 2025, published on its newsroom on 20 October (US time). “AI-generated slop and spam don’t belong in your recommendations, and we’ve made changes to keep them out and protect the listening experience,” Spotify wrote. For anyone making music with AI tools, the update also sets out how Spotify labels AI artists, how disclosure works and why its royalty threshold now matters more than ever.
What Spotify announced
Spotify says that earlier this year it looked closely at the tracks listeners were skipping, ignoring or telling it they did not want to hear, and that “a clear pattern emerged: these tracks were consistently ones identified as slop or spam.” Over the past six months it has made “numerous updates” to its recommendation system to remove that content and surface more music by “authentic, human artists”. Its editors apply the same standard and do not program content identified as slop or spam. Since the changes, Spotify says, it has seen “a marked decrease in listener concerns” about this content turning up in recommendations.
The 50 million tracks were taken out of recommendations; Spotify does not say they were deleted. The company says the figure is in addition to more than 75 million spammy tracks it has removed from the platform altogether for serious or repeated rule violations. A Spotify spokesperson told Music Business Worldwide that the 75 million number is the one it first gave in September 2025, covering the previous 12 months, and that it is not sharing an updated figure.
How Spotify decides what is slop
Spotify has not published a single test. “No single signal catches slop or spam on its own, so we combine many,” it says, listing listener engagement and feedback, upload patterns, metadata and “information from multiple third-party AI detection tools”. It is also candid about the limits: “AI detection technology in particular has limitations, and it will only get harder as generative AI evolves.” The tactics it says it hunts for include:
- mass uploads;
- duplicates;
- SEO manipulation;
- spammy playlist networks; and
- artificially short tracks.
That list matters. Spotify’s target is behaviour at scale, not the use of AI in itself. When it launched the policy in September 2025 it said AI disclosures were “not about punishing artists who use AI responsibly or down-ranking tracks for disclosing information about how they were made,” and that “all music is treated equally, regardless of the tools used to make it.”
AI Personas, AI Credits and verified artists
The update also gives new numbers for the tools Spotify has rolled out over the past year:
- AI Persona badges: “thousands” of artist profiles whose identity Spotify believes is AI-generated are now labelled. AI Personas are excluded from editorial and algorithmic recommendations by default, unless, for example, a listener follows one. Spotify claims it is the only major streaming service that labels AI-generated artist identities.
- AI Credits: launched in April, with artists now submitting “tens of thousands” of credits a day showing which roles and instruments were made with AI. Listeners can see them in Song Credits in the mobile Now Playing view.
- Verified by Spotify: more than 300,000 artists are verified, representing more than 99% of what listeners search for. More than 70% of them are independent.
- Artist Profile Protection: thousands of artists in the beta can review releases that list them before they reach their profile. Spotify says it will open the tool to all artists by the end of the year.
The 1,000-stream threshold
Since April 2024, a track on Spotify has needed at least 1,000 streams, and a minimum number of unique listeners, in the previous 12 months to earn recording royalties. Spotify now calls that rule “a first line of defense for human artists against the wave of AI-generated content”. It says tracks with indicators of a high probability of being AI-generated are 10 times more likely to fall below the threshold, “making it harder for bad actors to attempt to syphon royalties away from real artists by generating music at scale.”
“This work isn’t finished. AI moves fast, and bad actors adapt just as fast.” — Spotify, 20 October 2026
The licensed side: Believe joins Spotify’s AI remix tool
On the same day, Believe and Spotify announced a licensing agreement for Spotify’s upcoming AI covers and remixes tool. It is designed for “AI-powered remixes and covers, not entirely new works”, and is planned as a paid add-on for Spotify Premium subscribers, with streams of the remixes paying royalties to the participating artists and rights holders behind the original songs. Participation is voluntary: Believe and TuneCore artists first opt in to being considered for AI programs, then decide whether to join the Spotify tool. Believe follows Universal Music Group, Kobalt and Merlin, which have signed similar deals for the tool.
Put the two announcements together and Spotify’s position is clear. It wants AI music on its platform to be licensed, labelled and tied back to human artists, while mass-produced uploads are kept out of the places where listeners discover music.
How the other services compare
Spotify’s update lands a week after two rivals moved. YouTube Music began labelling songs made “primarily using generative AI” on 14 October, as we covered in YouTube Music Starts Labelling AI-Generated Songs. Deezer, which says it receives nearly 90,000 fully AI-generated tracks a day, already keeps them out of algorithmic recommendations and editorial playlists, and said on 13 October that users will be able to exclude them from search too; see Deezer Will Let Users Block Fully AI-Generated Music. Apple Music launched AI Transparency Tags in March and, according to Music Business Worldwide, made them mandatory in August where AI was used to create a material portion of the content.
Why it matters
For AI music creators
If you make music with Suno, ElevenLabs or any other generator, the message is that how you release matters as much as what tool you use. A steady catalogue with real listeners, accurate credits and honest AI disclosure looks nothing like the mass uploads, duplicates and short tracks Spotify says it is filtering. If your artist identity is AI-generated, expect a badge and no algorithmic push unless listeners follow you, so building your own audience counts for more.
For Australian artists
Australia has gone further than Spotify on charts. Under ARIA rules announced on 25 August 2026, recordings made with generative AI are eligible for the ARIA Charts only if they are substantially human-made. Spotify’s badges and filters affect discovery and royalties on one service, not chart eligibility, so Australian acts using AI need to keep both sets of rules in mind.
For listeners
Detection is imperfect, and Spotify admits it will only get harder. Labels like AI Persona badges and AI Credits depend partly on artists and distributors telling the truth. Disclosure-first platforms give listeners more to go on than a hidden filter alone.
Following AI music on Dizy
Dizy is built on disclosure: artists declare whether a track is AI-assisted or AI-generated when they submit, and listeners vote, so nothing is quietly filtered out. See what is rising on the Overall Top 40, browse New releases and AI artists, or submit your track. For the distribution side of the AI slop fight, read DistroKid pulls songs over UMG’s AI-slop lawsuit.
Sources
Spotify Newsroom: One Year In: Putting Human Artistry First on Spotify (20 October 2026)
Believe: press release on the Spotify licensing agreement (20 October 2026)
NBC News: Spotify removed 50 million ‘slop’ and spam AI tracks this year (October 2026)
ARIA: ARIA Charts set eligibility rules for recordings made with AI (25 August 2026)
