Games

The ghost at the top of the charts: what the Eddie Dalton case teaches us

The ai artist blues is climbing the charts. Is there concern for good old music or is it just competition?

by Gabriele Amante

18 April 2026

3' min read

Translated by AI

Versione italiana

3' min read

Translated by AI

Versione italiana

Eddie Dalton, an AI artist who is on everyone's lips, already boasts impressive numbers for a project that was only born, production-wise, yesterday. On YouTube he has more than 50,000 subscribers and his videos, uploaded within three weeks, are close to two million views. On Spotify it is travelling around two million monthly listeners, thanks mainly to its inclusion in prominent editorial playlists. On iTunes, it has even reached number one on the Soul/Blues charts in several countries.

If various media outlets are talking about this 'Bluesman', there must be a reason. Let us bear in mind, however, that this is not the first case of a completely generated artist reaching the top of the charts or maintaining high ratings for several weeks. What is striking here is the total absence of information about who is behind the project. We do not know where human genius ends and generative genius begins, as it is unclear whether a flesh-and-blood brain is writing the lyrics or just a well-packaged prompt.

Why did the song fool everyone?

Analysing his output, an untrained ear or one not inclined to the Blues genre would find it hard to understand that it is artificial intelligence. However, there are certain stylistic features that betray the synthetic nature of the work. First of all, the timbre: I challenge anyone to open software such as Suno or Udio, generate a melancholic blues song and not get the exact same vocal colour. For goodness sake, it is possible to differentiate it, but it would require extremely specific prompts or countless attempts on the same generation. Here, however, the timbre appears 'heard and resentful'.

The voice, moreover, has no 'mistakes': it lacks that unpredictability or calculated error that a human voice possesses (and must have) in order to give a marked impression to the song. The pieces then follow the classic structure of the commercial pop song; this demonstrates the extent to which AI draws heavily on existing human creations to construct its content, often without any real invention or creative thought behind it.

Even from an organological point of view (the instruments present), no substantial differences are noticeable. Of course, the instruments define the genre and there is no question about that, but from a harmonic point of view - that is, how the instruments interact with each other - the flatness suggests that whoever is behind the project has simply typed in a prompt like 'make me a three-minute blues song', without thinking about real characterisation. The most obvious clue, finally, remains visual: the previews of YouTube videos are blatantly made with generative AI. Although many 'pirate' or independent playlists use AI images (a practice I myself adopt for covers on Spotify), everything here suggests an integral use of artificial intelligence in every detail.

The reverse ghost marketing

We have reached the point where the concept of ghost marketing has been reversed. Ghost production - that is, when a producer writes a hit for a famous DJ or a pop star - is turned upside down: the AI thinks of everything, the human is left with only the task of signing and putting his face (or a pseudonym) on it. A hundred tracks are generated and the most successful one is published.

But there is more: if you decide to create a fictitious character in order to deceive the public, you have to build a narrative, a storytelling that fuels the mystery and, consequently, the ratings. Many criticise this operation: it is no longer the public that chooses the artist, but it is the algorithms that impose an aggressive and uncompetitive visibility. The listener thus finds a totally generated song in his headphones without really having sought it out.

Is AI the new 'Invisible Shifter'?

The charts are now contaminated by artificial intelligence and the battle is shifting to market share: the traditional record industry is ceding important chunks to AI. Is there cause for concern?

Yes and no. In the sense that we need - as some majors are already doing - more control over the transparency of virtual artists. We need to demand veracity from those who manage these projects. We must also accept that the future will be made up of hybrid projects: the AI will act as an 'invisible turner', capable of providing support in marketing, production and even live performances, being present from the embryonic phase of a song until its performance on stage. AI learns everything and knows everything: the real question is not whether to exclude it, but how to include it without losing its soul.