The global music industry is in the middle of a high-stakes identity crisis, as artificial intelligence rapidly shifts from a behind-the-scenes tool to a full-blown hitmaker.
Just three years after generative AI exploded into public consciousness, record labels, artists and tech companies are now locked in a battle over ownership, creativity and money, with no clear winner in sight.
According to industry insights, AI platforms are already generating millions of songs daily, allowing users to create fully produced tracks with nothing more than a text prompt.
But while the technology is advancing at breakneck speed, the backlash is just as intense.
One of the most controversial developments is the rise of AI-generated artists, fictional musicians powered by algorithms but marketed like real stars.
A stand-out example is Xania Monet, an AI-created R&B singer who has already racked up millions of streams and made history by appearing on Billboard charts.
Some see it as innovation. Others see it as a direct threat to human artistry, with major artists publicly questioning whether machines should be allowed to compete with real performers.
A Pan-African project launched in 2025 is actively pairing AI engineers with musicians to explore how the technology can be used in culturally relevant ways.
The initiative, driven by the Wits School of Arts in collaboration with leading AI researchers, received more than 150 applications from 20 African countries, highlighting growing interest in the intersection of music and technology.
Five projects were ultimately selected and developed through an intensive Johannesburg workshop before participants returned home to collaborate remotely over six months.
One of the stand-out collaborations includes South African artist Umilo, who partnered with a Ghanaian engineer, a sign of how cross-border collaboration is shaping the future of African music.
Organisers say the goal is not just innovation, but ownership.
“There is a need for African creatives to find truly African, human ways of engaging with AI,” said project lead Christo Doherty.
While creatives experiment, investors are already paying attention.
Ninel Musson, director of Creative Capital, says AI in music has become impossible to ignore and the opportunity extends far beyond just making songs.
“From an investment standpoint, the smart money is paying attention because the opportunity spans the entire value chain.”
She points to South Africa’s first fully AI-generated amapiano album as proof that the technology is already gaining traction locally.
“Right now, creators can benefit because production costs are lower and distribution is virtually free,” she said. “But many platforms are not yet differentiating between human and AI-generated content when it comes to royalties, and that’s a gap that will need to be addressed.”
More concerning, she warns, is how AI models are trained.
“Who agreed to have their music used? And how do those creators benefit? Music that hasn’t been licensed could become a serious problem.”
The legal system is struggling to keep up. Across Africa, most countries still lack clear AI policies. South Africa is among the few attempting to regulate the space, with a draft national AI policy open for public comment.
““But implementation will be the real test,” Musson says.
As AI scales globally, there are growing fears that African music could be exploited or diluted. Musson says protecting identity must be a priority.
“We need to invest in local datasets so AI reflects our cultures instead of flattening them. And we need strong IP frameworks to protect indigenous sounds and languages from being used without consent.”
Beyond policy, she stresses that creators themselves must act. “We need to document and assert ownership of our cultural assets before external platforms do it for us.”
Despite the concerns, experts agree on one thing: AI is not going away. “The biggest misconception is that AI is still far away,” Musson said. “It’s not. It’s already here.”
She argues that while AI poses risks, it also opens doors.
“It lowers barriers to entry and gives independent creators access to tools that were once only available to major studios.”
For now, the industry stands at a crossroads.
Also Read: Gift Lubele bets on AI to reshape amapiano and it’s already paying off
- The global music industry is experiencing a significant identity crisis.
- Artificial intelligence is rapidly evolving from a background tool to a primary creator of music.
- AI's growing role challenges traditional notions of music creation and authorship.
- The shift impacts artists, producers, and industry stakeholders.
- The full story is available in the e-edition of Sunday World.
Just three years after generative AI exploded into public consciousness, record labels, artists and tech companies are now locked in a battle over ownership, creativity and money, with no clear winner in sight.
But while the technology is advancing at breakneck speed, the backlash is just as intense.
One of the most controversial developments is the rise of AI-generated artists, fictional musicians powered by algorithms but marketed like real stars.
A stand-out example is Xania Monet, an AI-created R&B singer who has already racked up millions of streams and made history by appearing on Billboard charts.
Some see it as innovation.
A Pan-African project launched in 2025 is actively pairing AI engineers with musicians to explore how the technology can be used in culturally relevant ways.
Five projects were ultimately selected and developed through an intensive Johannesburg workshop before participants returned home to collaborate remotely over six months.
One of the stand-out collaborations includes
Organisers say the goal is not just innovation, but ownership.
“
While creatives experiment, investors are already paying attention.
Ninel Musson, director of Creative Capital, says AI in music has become impossible to ignore and the opportunity extends far beyond just making songs.
“From an investment standpoint, the smart money is paying attention because the opportunity spans the entire value chain.”
“Right now, creators can benefit because production costs are lower and distribution is virtually free,” she said. “But many platforms are not yet differentiating between human and AI-generated content when it comes to royalties, and that’s a gap that will need to be addressed.”
More concerning, she warns, is how AI models are trained.
“Who agreed to have their music used?
““But implementation will be the real test,” Musson says.
As AI scales globally, there are growing fears that African music could be exploited or diluted. Musson says protecting identity must be a priority.
“We need to invest in local datasets so AI reflects our cultures instead of flattening them.
Despite the concerns, experts agree on one thing: AI is not going away. “
“It lowers barriers to entry and gives independent creators access to tools that were once only available to major studios.”
For now, the industry stands at a crossroads.
Also Read: Gift Lubele bets on AI to reshape amapiano and it’s already paying off
