AI’s Impact on Music Creation

London – In the realm of music, traditional instruments like guitars and keyboards have always been essential. However, British music creator Oliver McCann, known as imoliver, is breaking the mold with a new chatbot.

McCann’s musical styles range from indie pop to electro soul to country rap. Yet, there’s a significant difference setting him apart from conventional musicians.

“I have no musical talent at all,” he admits. “I can’t sing, I can’t play instruments, and I have no formal background in music whatsoever.”

With a history as a visual designer, McCann (37) started exploring AI in hopes of boosting his creativity and bringing his lyrics to life. Recently, he signed with Hallwood Media after one of his tracks gained three million streams, marking a turning point in his journey.

McCann exemplifies how AI tools for music creation, similar to ChatGPT, have stirred a revolution in the industry. This trend, highlighted by the fictional band Velvet Sundown, gained significant attention, as all their music, lyrics, and artwork were generated by AI.

Such developments spark conversation about AI’s role in music while raising concerns about low-quality, mass-produced content often referred to as “AI slops.” There’s a fine line between democratizing music creation and threatening the existing industry.

Experts indicate that AI generators are poised to transform the music landscape. However, it remains unclear how these changes are affecting the $29.6 billion recorded music market, including the $20 billion generated from streaming.

According to Deezer, a music streaming service, 18% of daily uploads are entirely AI-created. Despite this, these songs account for only a fraction of total streams, indicating that viewership remains low. Other major streaming services like Spotify have not shared any statistics on AI-generated music.

Udio chose not to disclose user numbers or the volume of songs produced, while Suno did not respond to inquiries. Both platforms offer free versions along with premium tiers for advanced AI capabilities.

“It’s a complete boom. It’s a tsunami,” remarked Josh Antonuccio, director at Ohio University’s School of Media Arts Studies. He noted that the rate of AI-generated music is “increasing exponentially,” particularly among younger generations who embrace AI technology.

However, the use of generative AI, which can produce seemingly original creations, has sparked disagreements within the music community. Many musicians and organizations express concerns that recorded songs are being exploited to train AI models powering these generative tools.

Record labels are attempting to fend off the financial risks posed by AI music startups while artists worry that this trend could undervalue human creativity.

Last year, three major record companies—Sony Music, Universal Music Group, and Warner Records—filed lawsuits against Suno and Udio, alleging copyright violations. Negotiations recently have been reported regarding artist payment methods when AI remixes songs.

In a separate case, the German Royal Collection Association filed suit against Suno, claiming it produced works reminiscent of popular songs like Rubega’s “Mambo No. 5.” Over 1,000 musicians, including Kate Bush and Annie Lennox, protested proposed changes to UK laws regarding AI, fearing a loss of creative control. In contrast, artists like Will.i.am and Timbaland have embraced the technology.

Some observers see this debate as part of a historical pattern where new technologies initially faced skepticism, akin to autotunes and drum machines. Scott Smith, involved with the AI band Pulse Empire, likened AI tools to other creative instruments that enhance the music-making process.

Smith, 56, a semi-retired former US Navy spokesman from Portland, acknowledges he never mastered an instrument but emphasizes the time and effort required to craft music.

For him, inspiration might spark quick lyrical creation, but producing a finalized song can take several hours to align with his vision. McCann echoes a similar experience, often generating numerous versions before finding one he’s happy with.

AI music generators have the capacity to interpret lyrics and sound, though many seasoned creators prefer to write their own lyrics. McCann mentioned that AI lyrics often come off as clichéd and mundane.

Lucas Rams, from the Philadelphia area, claimed he found AI-generated lyrics lacking in creativity, albeit useful for starting his own writing process. “They tend to follow a basic rhyme scheme and repeat structures,” he stated, pointing out how AI might plug in repeated words or phrases.

Having previously played in high school bands, Rams turned to AI for help to create music for his own project, Sleeping With Wolves. He is serious about his work, even preparing CD cases for the albums he’s produced. His goal is to share his music online more widely.

Experts suggest that AI has the potential to help anyone create a hit song. “Consider the cost of producing music that breaks through,” Antonuccio stated, highlighting the accessibility of AI for music creation.

That said, he cautioned that AI music is still in a “wildwest” phase, lacking clear legal guidelines. He drew parallels to the early struggles of Napster and its impact on the music industry as it transitioned to digital media.

Many creators hope AI will integrate seamlessly into the mainstream music scene. “We’re moving into a time where anyone can create their next big hit anywhere,” McCann believes, anticipating that as AI becomes more accepted as a musical art form, its presence on charts could grow.