Games

ElevenLabs and the clone album: if copyright marries the algorithm

An album with synthetic voices generated by AI: are we facing innovation or perhaps a frightening forewarning of what lies ahead?

by Gabriele Amante

20 February 2026

3' min read

Translated by AI

Versione italiana

3' min read

Translated by AI

Versione italiana

The album, which can be described as hybrid in nature, is not yet another experiment between music and artificial intelligence. We are talking about a collection of tracks resulting from the consensual collaboration of 13 world-famous artists. As the official website reports, it features a diverse group of talents: the album includes, among others, Liza Minnelli - one of the few artists to boast the prestigious EGOT title (Emmy, Grammy, Oscar, Tony) - Art Garfunkel, KondZilla and Denzel Curry.

Eleven Music claims that the toolkit used (which users can also use via the official website) allows anyone to develop a complete song from a simple textual description: from funk to electronic to international pop. This is the vision held by the company, which was applied in full in the realisation of this record project.

But how is this album?

The work consists of 13 tracks, as many as the artists involved, and ranges across very different genres. For example, we find 'Prelude Fury in C Mirror', a title clearly intended to recall classical compositions. Demetri Lerios, soundtrack author and producer, generates an effectively 'mirrored' piece with a circular structure. The aim of creating a piece suitable for accompanying images is clear: the rhythm is very marked, enriched by winds and strings, with a rhythmic component so present that it is closer to a filmic composition than a purely 'cultured' one.

Liza Minnelli's 'Kids Wait Till You Hear This' is, on the other hand, an extremely simple composition. The singer's voice is repeated without ever breaking into song, almost as if it were composed from clips of old interviews. The electronic music base, lacking a strong harmonic component, is almost reminiscent of those ambient songs that we might hear in a clothes shop.

"Art Garfunkel's 'Authorship' follows an even more minimalist structure. We find the famous American singer reciting a text while, in the background, a light and delicate melody unfurls between his words, accompanying the artist's narration without ever overpowering it.

The impact of these productions on streaming platforms

It should be specified that all tracks are fully owned by the artists, who receive 100 per cent of the revenues from streaming platforms. This confirms that the entries have been synthesised with the full approval of those involved, setting a new ethical standard for the industry. Public appreciation has also been remarkable: the tracks have been met with anything but moderate response, climbing the major global charts.

ElevenLabs itself is experiencing extraordinary financial growth, reaching a valuation of USD 11 billion in January 2026. Their strength also lies in the strategic selection of talent involved: a mix of singers, producers and songwriters who, collectively, boast over a billion listeners and dozens of Grammys. It is no coincidence that Billboard listed the company as one of the 11 most influential AI-related companies in the industry, recognising its revolutionary impact on the music market.

Did AI add value or did it just smooth out or highlight human flaws?

ElevenLabs has allowed anyone to experiment with their Ai which, I must say, produces results that are far above average, especially when compared to those tools that do not require subscriptions. The main merit of this work is certainly that it has brought legendary artists, who in the past looked down on the charts, back into the spotlight, but this process has inevitably removed some of the human effect.

Any traditional production, from the most expensive to the poorest, always retains the human error of the recording: the fact, for example, of never singing a refrain in exactly the same way. This nuance, unfortunately, is lost with AI. It must be said, however, that these technologies allow those who cannot afford high productions, or those who do not know music theory, to generate respectable backing tracks or complete songs, effectively democratising sound creation.