AI-generated music is climbing the charts – Like it or not

Artificial intelligence is no longer just a tool for experimental coders and tech companies. I guess that is pretty clear for everyone now. The same goes for AI-generated music which has entered the music scene alright with songs generated by algorithms that are charting alongside human‑written hits. Some fans and communities are pushing back: Reddit moderators for instance ban AI tracks; artists sign open letters warning about predatory technology, and so on.

Yet the genie is out of the bottle. And it might be more productive to embrace the technology responsibly rather than trying to shut the door.

The arrival of AI-generated music in the charts

In the summer of 2024, a wholly AI‑generated track called “Verknallt in einen Talahon” (translated as “In Love With a Talahon”) broke into the German pop chart at number 48. The track, created by producer Butterbro using AI to compose the music, generate the vocals and even design the artwork, became a hit despite being conceived as a tongue‑in‑cheek joke. The song’s subject matter was questionable, but the chart position was real – the first time AI-generated music cracked a major national chart. It was that very moment that signaled that AI‑generated music had moved from novelty to mainstream recognition, and appreciation.

In June 2025 an album called “Floating on Echoes” appeared on streaming platforms. The band, The Velvet Sundown, sounded like a long‑lost psychedelic group from the 1960s. Their single “Dust on the Wind” topped Spotify’s Daily Viral 50 chart in Britain, Norway and Sweden between 29 June and 1 July, and the project amassed over 1 million monthly listeners in just a few weeks. A week after the viral success, the creators revealed that the music, vocals and visuals were all generated using AI. The band described the project as a “synthetic music project” guided by human direction.

Critics of the AI-generated music argued that the viral success demonstrated how AI could flood streaming platforms with cheaply generated music. Executives warned that platforms should clearly label AI content and ensure artists are compensated fairly. The outrage was real, but so was the audience. AI‑generated music was not just a gimmick; it was actually resonating with listeners.

In case you wondered, yes, streaming services are inundated with AI-generated music creations. In June 2025, music platform Deezer introduced a system that tags albums containing fully AI-generated music tracks. It found that 18 % of all new uploads to its service were made entirely by AI – that is (listen very well) over 20,000 tracks every day. However, AI-generated music accounted for only 0.5 % of total streams, and up to 70 % of those AI‑generated streams were fraudulent plays from bots. As a result Deezer began excluding fully AI tracks from algorithmic recommendations to protect legitimate artists.

Having said that, not a single aggregator refuses AI-generated music, because they know very well, that AI-generated music can also become hits, like it or not.

The above numbers from Deezer (a smaller player) show the scale of AI’s entry. Even if actual listening of AI-generated music is still small compared to human‑made music, the flood of content clearly signals a shift. At the same time, platforms are scrambling to adjust policies, detect bots and prevent fraudulent streaming.

The backlash: Bans, petitions and open letters

While AI‑generated songs climb charts, some fan communities are drawing a line. The subreddit r/ThisIsOurMusic, a community that focusses on user‑generated tunes, updated its rules to ban AI‑generated music entirely. The moderators stated: “No bots… this also applies to AI generated music”. They argued that pure AI prompt‑generated songs undermine the spirit of the community, which values human creativity and effort. Users who still want to share AI‑assisted tracks must emphasize their own performance or songwriting input.

Other music forums have introduced similar rules, clearly showing the cultural tension between technological novelty and the desire to protect spaces for human expression. Yet the bans have limited impact when AI music is simultaneously trending on TikTok, topping Spotify charts and being listened to by casual listeners.

The backlash is not confined to fans. In April 2024, more than 200 high‑profile musicians – including Billie Eilish, J Balvin, Nicki Minaj, Stevie Wonder and the estates of Frank Sinatra and Bob Marley – signed an open letter organized by the Artist Rights Alliance. The letter warns that AI tools are being used in ways that “undermine or replace human songwriters and artists”. It calls on tech companies to pledge not to develop AI music technologies that erode musicians’ livelihoods.

The letter urges developers to stop “predatory” uses of AI that mimic artists’ voices, violate creators’ rights and dilute royalty pools. It does acknowledge however that AI can benefit creativity when used responsibly but argues that some companies are using artists’ work without permission to train models, directly aiming to replace human work. But let’s say that is an emotional exaggeration.

That open letter is part of a broader push. The state of Tennessee for instance passed the Elvis Act to protect vocal likenesses from unauthorized AI use. Proposals at the US federal level, like the No AI Fraud Act, and consultations by regulators such as the Federal Trade Commission, aim to prohibit impersonation and regulate the training of AI models. In short, the legislative efforts show that the backlash has moved from online forums to legal arenas.

The legal ghost in the machine

One of the most controversial AI music stories involved the song “Heart on My Sleeve”, uploaded by a creator known as Ghostwriter977. The track used AI to generate vocals that imitated Drake and The Weeknd. It amassed 600,000 streams on Spotify, 15 million views on TikTok and 275,000 views on YouTube before streaming services removed it. Universal Music Group condemned the track as “infringing content” created with generative AI and demanded that platforms prevent AI companies from training on copyrighted music.

The case showed a central problem: when AI can convincingly mimic famous voices, it blurs the line between homage, parody and outright infringement. The removal also showed that major labels have both the legal muscle and motivation to combat AI music that uses their artists’ likenesses without consent.

Speaking of which, more recently, we also published an article on an AI-generated music project which imagined a 1950’s Depeche Mode recording of “Violator”.

Fraudulent activity adds another layer. As pointed out earlier in this article, Deezer’s research suggests that bots generate up to 70 % of streams for AI‑generated music. The incentive is simple: flood the platform with AI tracks and rack up bot plays to collect royalties. This practice not only steals income from legitimate artists but also casts suspicion on genuine AI experiments. Platform initiatives to tag AI tracks and exclude them from algorithmic playlists aim to reduce fraud, but policing the deluge remains a challenge.

Why a ban won’t work

Calls to ban AI-generated music might sound reassuring, but they ignore the reality that the music ecosystem is already permeated by algorithmic compositions. As explained earlier, in Germany, an AI song charted, and on Spotify, a synthetic band went viral. Even if certain subreddits or streaming platforms prohibit AI music, listeners can still find it across apps and social media.

Moreover, many fans cannot tell whether a track is AI-generated music unless it is labelled. “Verknallt in einen Talahon” deceived listeners into believing it was a quirky indie track. “The Velvet Sundown” fooled everyone into thinking a lost 1960s band had resurfaced. Without transparency, a ban may simply drive AI music into grey areas where regulation is harder.

Musicians’ unions and advocacy groups rightly want to protect artists’ rights and income. Yet a blanket ban risks throwing away the potential benefits of AI-generated music. The Artist Rights Alliance letter itself admits that AI can “advance human creativity and… enable new and exciting experiences for music fans”. AI tools can help isolate old vocal tracks, assist with composition and enable disabled or non‑traditional musicians to create art. Denying access to these tools would deprive both creators and audiences.

AI as a musical partner

AI should be viewed as a collaborator rather than a replacement. Successful AI‑driven projects often involve human direction. Butterbro for instance used AI to generate the skeleton of “Verknallt in einen Talahon” but provided guidance and editing to produce a coherent track. The creators of The Velvet Sundown wrote prompts and curated the results, forming the album’s psychedelic atmosphere. So, when human artists guide the process, AI becomes a tool that expands sonic palettes rather than a competitor.

And those active in the music industry know very well that songwriters already use AI tools to generate chord progressions, instrument timbres and lyric suggestions. For artists with limited resources, these tools can democratize music production. A bedroom producer with a laptop and an AI program can experiment with complex orchestral arrangements once reserved for those with big budgets.

AI can also produce sounds that humans might never imagine. Machine learning models trained on diverse musical libraries can fuse genres in unpredictable ways, producing tracks that defy categorization. The AI‑generated track that topped German charts mixed pop melodies with comedic lyrics and glitchy production. The synthetic 1960s band conjured nostalgia while introducing modern instrumentation. Such experiments push musical boundaries and inspire human artists to explore new styles.

Beyond composition, AI helps preserve cultural heritage. Tools that isolate vocals or instruments from old recordings have allowed producers to remix or remaster classics. The Beatles used AI to extract John Lennon’s voice from a cassette demo and create a new release, a technique praised even by skeptics. Musicologists employ AI to reconstruct missing parts of ancient compositions. In education, AI can generate practice accompaniments tailored to a student’s level, offering personalized feedback. These applications show AI’s supportive role rather than its destructive potential.

The future of AI-generated music? It won’t disappear, at all

Rather than banning AI-generated music outright, streaming platforms should adopt clear labelling. A simple tag indicating whether a track is fully AI‑generated, AI‑assisted or human‑made would empower listeners to choose. Deezer’s tagging initiative sets a precedent. Transparency reduces deception and ensures AI doesn’t masquerade as human art. It also allows fans to explore AI’s creative possibilities consciously, much like exploring a new subgenre.

Developers from their side should obtain permission to use artists’ recordings as training data, and legislators should enforce this. Certification schemes like the Fairly Trained program, verify that AI models have obtained proper licenses. Labels and publishers could negotiate licensing agreements with AI developers, turning training data into a new revenue stream instead of a source of conflict.

Platforms must also further invest in tools to detect bot‑driven streams and remove fraudulent AI-generated music tracks. But since the pay-for-play game is still rampant on all platforms, mostly with tracks that are not AI-generated music, it’s far from sure this issue will be resolved soon.

Online communities can set guidelines that prioritize human creativity without dismissing AI outright. Rather than blanket bans, subreddits could encourage users to share how they used AI and what human contributions they made. Conversations around AI’s role will be more productive if they focus on process and intention rather than fear.

Attempts to ban AI-generated music outright miss the reality that algorithms are now part of the creative ecosystem. But there are genuine concerns about copyright, consent and income – concerns that must be addressed through clear labelling, fair compensation and robust regulation.

Instead of fighting a losing battle to keep AI-generated music out of our feeds, musicians should view AI as a collaborator rather than a threat.