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Would you accept AI tracks on your playlists? Or is it a problem?

What's the ethical limit on creating music with AI?

August 13, 2026 / by DailyPlaylists

DailyPlaylists is a music promotion platform that connects artists with thousands of Spotify playlist curators.
Artists can easily submit their tracks for free or through premium campaigns, making it one of the largest and most accessible playlist submission networks available.
Since 2017, DailyPlaylists has supported over 7 million playlist placements, one million artists and over 40,000 curators.

Reading time: 5 minutes


AI music. Whether you let it pass as a new way of creating music, or you completely abhor it, there's a common consensus that this new wave of technology is a tectonic shift to the music ecosystem.

While technology has always played a role in music production, there's always an adjustment period with it; generative artificial intelligence has advanced to the point where entire songs (including synthetic vocals, composed melodies, and full instrumentals) can be generated by algorithms in a matter of minutes.


For playlist curators, independent musicians, and submission platforms, this technological leap is completely rewriting the rules of streaming, forcing a re-evaluation of what is authentic, what is fair, and how human artistry should survive. Creating both an ethical and technical debate.




Playing the System: How AI Creators Exploit the Streaming Ecosystem

To understand the scale of this shift, we must look at how AI creators are "playing the system" as many are calling it. Using advanced generative platforms like Suno and Udio, individuals with little to no musical background can produce a massive volume of highly polished tracks in under a day, which in turn makes the monetization of this content way quicker than before.


What are the steps to monetize this content? They establish "fake artist" profiles that mimic legitimate, independent acts, which they designed to look professional at a glance. They feature high-quality cover art, catchy song titles, and official-looking profile pages. Many deploy AI-generated photos of non-existent band members, fabricated bios, and hollow social media profiles designed to simulate an active, authentic online footprint.

Because virtual creators never experience writer's block, fatigue, or creative burnout, they can flood streaming platforms and submission queues with dozens of releases in just a few months. This high-speed, high-volume model is a calculated play for streaming market share. The scale of this inundation is staggering:

  • Deezer has reported that 44% of its new music consists of AI-generated tracks. (Source: Deezer)
  • Apple Music has estimated that over a third of all tracks on its platform are "100% AI". (Source: Variety)



When these synthetic tracks accumulate streams, they redirect royalty payments away from real, independent human musicians who spend months or years perfecting a single song. The increased competition from an endless stream of machine-made tracks makes it harder for real artists to build a sustainable career, threatening the financial viability of independent music.





The Curation Crunch: Curators as the New Gatekeepers

Submission platforms like DailyPlaylists connect artists to curators and makes them, (the curators) the front-line gatekeepers of music quality and authenticity. However, this massive accessibility has exposed curators to intense submission pressure and frustration to some degree.

In the modern playlist economy:

  • Independent playlist curators receive an average of 50-300 submissions a month.
  • The approval rate for generic, mass-blasted submissions is a mere 5% to 10%.
  • In contrast, targeted, highly relevant submissions achieve an approval rate of 25% to 40%.



To cut through this noise, modern curators have had to become increasingly sophisticated. They no longer just listen to the music; they utilize advanced audio analysis tools to match songs to playlist moods, track real-time song performance via engagement metrics, and heavily scrutinise the artist’s social media presence as a factor in selection. This active vetting is crucial because every time an AI-generated song is selected over a human-made one, a real artist loses a vital opportunity to build their audience and make a living.



The Shift from Prohibition to Regulation

In 2024 and 2025, the music industry treated AI-generated music as a binary threat: detect and delete. The scale of the cleanup was immense:

  • Spotify removed over 75 million AI-generated tracks in 2025.
  • Apple Music flagged 2 billion streams as fraudulent.
  • Deezer invested in building a dedicated detection business to filter out synthetic files.

However, outright prohibition faced clear limits. Automated detection systems risked producing false positives, unfairly flagging human artists who use modern digital production techniques. Furthermore, the line between "AI-assisted" and "AI-generated" became increasingly blurred.

The industry reached a turning point in late 2025 with landmark licensing deals between major record labels and AI developers. Universal Music Group settled with Udio in October 2025 (Source: Universal Music Group), and Warner Music settled with Suno in November 2025 (Source: Warner Music Group), establishing AI-generated content as officially licensable. Consequently, 2026 has marked a transition from prohibition to regulation and transparency.



Mandatory Disclosure Frameworks

Today, major streaming and distribution platforms require creators to disclose AI involvement in their metadata:

  • Spotify: Creators must declare AI content at the distribution level using the "Synthetic Content" flag. Properly disclosed AI content remains eligible for algorithmic playlists like Discover Weekly and Release Radar, but human editorial curators retain the discretion to prioritize human-made content. Failing to disclose leads to track removal and potentially artist profile suspension.
  • Apple Music: Requires granular metadata specifying whether AI was used for vocal generation, instrumental composition, lyrics, arrangement, or production. Apple's review process combines automated flags with manual human review before final removal actions are taken.
  • YouTube: Demands the "Altered or Synthetic Content" label in YouTube Studio for any uploads featuring synthetic vocals, instrumentals, or voice clones. Non-disclosure can result in channel strikes and termination.
  • Distributors: Gatekeepers like DistroKid and TuneCore have implemented dedicated AI check-boxes and metadata forms to feed these flags to streaming platforms. Meanwhile, others like CD Baby maintain an absolute ban, rejecting 100% of fully AI-generated content.



Globally, institutions are stepping in to protect human creators. In August 2026, the Australian Recording Industry Association (ARIA) updated its code of practice to ban songs largely or entirely made by artificial intelligence from its official music charts, reinforcing the need to protect "the human nature of artistry". This decision followed controversies like Aussie DJ Josh Fawaz’s cover of Madonna’s "Like a Prayer", which garnered 48 million streams and topped the dance charts before credits were updated to reveal AI-generated vocals and drums. (Source: The Economic Times)

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Additionally, the Coalition for Content Provenance and Authenticity (C2PA) has introduced Content Credentials to embed cryptographically signed creation histories directly into audio files. While this can automate disclosure, some AI music creators intentionally bypass these checks by running their files through tools designed to strip C2PA metadata and other machine-detectable spectral artifacts to pass automated checks without declaring AI use.



A Curator’s Toolkit: Spotting the Red Flags

Because AI creators are getting better at hiding the signs (using fake press kits, made-up bios, and artificial engagement) curators must rely on a combination of visual, technical, and acoustic indicators to preserve the integrity of their playlists:

  1. Review the Release Cadence: An artist profile dropping dozens of songs over a few months is a main indicator of automated creation. Real human artists rarely maintain such a pace.
  2. Hollow Social Footprints: A "fake artist" profile may have social media accounts, but they lack organic, lived-in human interaction. Look for a lack of live performance footage, behind-the-scenes studio videos, or genuine interactive dialogue with fans. As well as the captions.
  3. AI Telltales in Photos: Zoom in on promotional images. You might have noticed AI-generated faces often feature uncanny valley details or straight-up comic-style designs that clearly look AI-generated.
  4. Vocal and Lyric Anomalies: Listen closely to the performance. AI-generated vocals often lack natural breathing patterns, feel emotionally flat or heavily compressed, and are accompanied by "too clean" lyrics.


The Strategic Antidote: How Real Artists Stand Out

While the AI flood can feel discouraging for genuine musicians, it also highlights the ultimate competitive advantage that machines can never replicate: authentic human connection and storytelling. Independent artists who combine authentic storytelling with strategic, relationship-first marketing.






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The Bottom Line

There is no stopping AI in music; it is already here, and it is growing fast. But that does not mean we cannot protect space for real artists.

For curators, the goal is to capture the essence of what you hear, whether it is human-made, AI-assisted, or fully synthetic. If you suspect a track is AI-generated, look at how the music fits your playlist's aesthetic and if it genuinely connects with listeners. But remember that active awareness helps maintain fairness for the artists who live and breathe music, ensuring that a human voice has a chance to be heard rather than being buried under an endless wave of machine-made content.

Sources

The following sources from the playlist protection notebook were consulted in the writing of this article:





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