The Transformation of AI in Music

The Transformation of AI in Music

Recently, a song titled "Walk My Walk" skyrocketed to the top of the Billboard's Country Digital Song Sales chart. With a thunderous rhythm and introspective lyrics like 'Every scar narrates the battles I’ve overcome, risen from the ashes still standing,' it captivated over 8 million Spotify users. However, this isn't your average musical hit. It wasn't crafted by a traditional artist but by an AI entity termed Breaking Rust. Despite a profile adorned with the visage of a rugged man donning a cowboy hat, the project is entirely AI-driven. Yet, controversies stirred as musician Blanco Brown accused the AI creation of mimicking his distinctive style of country infused with rap. Brown claims the song's creators leveraged AI to replicate his musical essence, though inquiries to the minds behind Breaking Rust have gone unanswered.

This development highlights the emerging phenomenon where AI-generated music blurs the lines of creativity and authorship. With the capability to fabricate melodies reminiscent of well-loved artists using minimal prompts, these tracks are rapidly gaining traction and outpacing the regulations of music labels in their viral spread.

When the first AI-produced songs began amassing listeners a couple of years ago, record labels faced a dilemma. Determined to protect their interests, they threatened and even pursued legal action against AI developers training on their artists' voices and styles. For instance, Universal Music Group (UMG) demanded the removal of a YouTube clip featuring AI-generated Eminem vocals discussing cats. Similarly, streaming services like Spotify deleted AI-produced tracks that exploited algorithms to gain streaming profits. Furthermore, UMG succeeded in having a viral 'Drake' song taken down, which was neither created by Drake nor The Weeknd but by an anonymous artist known as Ghostwriter, who exclusively uses AI for music creation and maintains anonymity with a distinct public appearance.

A Shift Towards Collaboration

In a surprising turn, record labels are beginning to collaborate with AI music creators. Just last month, Warner Music Group reconciled a dispute with the AI music tool Suno, accused of producing tracks in the likeness of artists like ABBA and Chuck Berry. The resolution involves not just settling differences but also forging a new partnership. According to Robert Kyncl, Warner's CEO, this represents 'a triumph for everyone within the creative sphere.' Similarly, UMG concluded their copyright litigation with AI company Udio, setting the stage for a new subscription offering driven by AI and licensed music.

AI companies currently grapple with numerous lawsuits over the unauthorized use of copyrighted content to train their systems. The legal skirmishes extend beyond music to Hollywood, journalism, and the art world. The music sector, however, appears to prefer a conciliatory approach rather than protracted legal conflicts amidst ambiguous rights contexts. As Berklee College of Music's Chris Wares articulates, AI's permanence and transformational influence are obvious, prompting record labels to strategize towards resilience in the face of technological evolution.

The Rise of AI-Created Music

AI's entry into music has inundated online platforms with fresh sounds — from catchy hits to forgettable noise. Platforms like Spotify, Apple Music, and Bandcamp host over 100 million tracks, much of which go unnoticed. Noteworthy, however, is Deezer's revelation that in April alone, some 20,000 fully AI-generated compositions were uploaded daily, accounting for an alarming portion of their new content. As AI-based playlists and compositions flourish, human artists find themselves vying for listenership. A particular AI project, The Velvet Sundown, achieved a notable milestone garnering 1 million listens across two albums. Yet the presence behind the project remains shrouded in mystery. This November, Billboard recorded no fewer than six AI-augmented songs penetrating their charts. As such content proliferates, platforms like Spotify have responded by revising policies to excise unauthorized voice usage.

Imagine the allure of AI-created cover songs or innovative mashups that resurrect past musical collaborations or reconcile contemporary artist rivalries. These imaginative creations could siphon attention away from original works. Nevertheless, the overarching motive of these alliances with AI is to unlock new income avenues for musicians. Warner Music's agreement specifies exclusivity for Suno's users to download AI-generated tracks and mandates artists' consent for replicating their voices and likenesses. Though streaming has diminished royalties significantly, AI fan creations provide a promising opportunity for artists to profit from passive royalties. However, it concurrently introduces direct competition between artists’ authentic creations and AI-crafted counterparts, not only for the audience's attention but also for revenue.

Navigating the Creative Economy

Mark Mulligan of MIDiA Research emphatically articulates the inherent challenge in championing AI music where the listener's focus is finite. Essentially, each moment spent on AI music detracts from attention given to human artists. The landscape is shifting as audiences themselves become content creators, vying for the same leisure time once dominated by traditional entertainment.

This renaissance in music creativity may even reconnect us with music's original, communal essence, stretching back centuries. Music once was a shared and participatory experience, storytelling interwoven with sound. The advance of recording technology and broadcasting created a disconnect between performers and audiences, but today's AI tools might redefine this dynamic, making the process of music creation a more participatory engagement.

Much depends on artists' willingness to lend their voices to AI platforms. While some like Grimes are embracing the trend, cloning their vocal styles for fan explorations, the broader acceptance among mainstream artists remains to be seen. They must weigh potential income against the risks of ceding creative control. For instance, Blanco Brown recently released a remix to reclaim his sound after witnessing its AI recreation, underscoring the complex reality where knowing the true performer might require deeper insight than a first listen reveals.

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