When pop groups and rock bands practice or perform, they rely on their guitars, keyboards and drumsticks to make music. Oliver McCann, a British AI music creator who goes by the stage name imoliver, fires up his chatbot.
McCann’s songs span a range of genres, from indie-pop to electro-soul to country-rap. There’s just one crucial difference between McCann and traditional musicians.
“I have no musical talent at all,” he said. “I can’t sing, I can’t play instruments, and I have no musical background at all.”
McCann, 37, who has a background as a visual designer, started experimenting with AI to see if it could boost his creativity and “bring some of my lyrics to life.” Last month, he signed with independent record label Hallwood Media after one of his tracks racked up 3 million streams, in what’s billed as the first time a music label has inked a contract with an AI music creator.
McCann is an example of how ChatGPT-style AI song generation tools like Suno and Udio have spawned a wave of synthetic music. A movement most notably highlighted by a fictitious group, Velvet Sundown, that went viral even though all its songs, lyrics and album art were created by AI.
It fueled debate about AI’s role in music while raising fears about “AI slop” — automatically generated low quality mass produced content. It also cast a spotlight on AI song generators that are democratizing song making but threaten to disrupt the music industry.
Experts say generative AI is set to transform the music world. However, there are scant details, so far, on how it’s impacting the $29.6 billion global recorded music market, which includes about $20 billion from streaming.
The most reliable figures come from music streaming service Deezer, which estimates that 18% of songs uploaded to its platform every day are purely AI generated, though they only account for a tiny amount of total streams, hinting that few people are actually listening. Other, bigger streaming platforms like Spotify haven’t released any figures on AI music.
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