For years, technology has changed music in ways artists eventually learned to adapt to. Streaming changed how albums were released, social media changed how songs spread, and TikTok changed the way records were structured entirely. Every few years, the industry reshapes itself around whatever new platform or trend suddenly becomes impossible to ignore. But artificial intelligence feels different. Not because artists are scared of technology itself, but because this is the first time technology has started creeping into the part of music people once believed was untouchable: creativity.
Suddenly, AI can generate beats, suggest melodies, mimic voices, and even help structure songs within seconds. What once sounded futuristic now feels immediate. And underneath all the excitement around innovation sits a quieter anxiety that many artists are still trying to process properly. If machines can now make music too, then what exactly separates art from content? What makes a human artist irreplaceable?
That tension sits at the center of Joshua Baraka’s recent conversation with Joey Akan on Afrobeats Intelligence by OkayAfrica. What makes the discussion compelling is that Baraka does not speak about AI like someone panicking about the future, nor does he dismiss it as harmless experimentation. Instead, he approaches the conversation from a more thoughtful place. He understands that technology will continue evolving whether artists like it or not, but he also believes there are parts of human creativity that machines simply cannot replicate no matter how advanced they become.
The more he speaks, the clearer it becomes that this conversation is not really about technology alone. It is about the growing tension between efficiency and humanity inside modern music culture.
One of the most interesting things Baraka points out is that AI is already capable of reproducing the mechanics of music extremely well. It can study patterns, identify trends, analyze what listeners respond to emotionally, and generate songs that resemble records people already enjoy. In many ways, that mirrors what parts of the music industry have already been moving toward for years. Music has increasingly become shaped by data. Artists now think about replay value, algorithms, virality, engagement, and retention almost as much as emotion or storytelling itself. Songs are often engineered around what performs well online rather than what feels most emotionally honest.
And perhaps that is why AI feels so unsettling to many artists. It exposes how much of mainstream music has already become formula-driven.
Because if music is reduced purely to patterns, structure, and trend prediction, then machines will eventually become very good at reproducing it.
But Baraka believes the flaw in that thinking is that truly meaningful music has never only been about technical perfection or formula. Music matters because of the humanity inside it. The songs people carry with them for years are rarely just catchy songs. They are songs attached to heartbreak, memory, identity, loneliness, love, grief, joy, migration, pressure, ambition, insecurity, and lived experience. People hear parts of themselves inside music. That emotional connection is what transforms sound into art.
And that is where he believes AI still falls short.
A machine may eventually generate songs that sound emotionally convincing, but it cannot genuinely understand the emotional weight behind them. It cannot understand what it means to grow up in Kampala carrying both local identity and global ambition at the same time. It cannot understand family pressure, cultural memory, insecurity, spiritual conflict, heartbreak, displacement, or survival in the deeply human way artists experience those things before translating them into music.
That distinction becomes even more important when Baraka and Joey Akan begin discussing the current state of African music more broadly. At one point, they touch on the feeling that parts of mainstream Afrobeats have started becoming repetitive. Not necessarily because the genre itself is declining, but because commercial success often encourages imitation. Once a sound begins performing globally, industries naturally try to reproduce it repeatedly until it starts losing some of its emotional freshness.
In that kind of environment, AI does not necessarily create the problem. It simply accelerates it.
If artists begin creating primarily based on what data says will succeed, then creativity slowly becomes reactive instead of expressive. Music starts sounding safer, more polished, and more optimized. But also less personal, less surprising and less human.
Baraka pushes against that idea strongly throughout the conversation. He repeatedly returns to the importance of artists remaining deeply connected to their own experiences and creative instincts instead of allowing algorithms to dictate direction entirely. According to him, artists are supposed to impose their creative will on the world rather than simply following whatever trend currently dominates streaming platforms.
That idea also shapes the way he speaks about live performance. One of the most compelling parts of the conversation comes when he explains why he believes live music will become even more valuable in the AI era. Audiences are not just paying for songs anymore. They are paying for human presence. A machine can generate a technically polished record, but it cannot recreate the emotional tension of a live performance where people feel genuinely connected to the artist standing in front of them.
And maybe that is the irony sitting underneath this entire conversation. The more artificial music becomes, the more valuable human artistry may actually become in response.
What also makes Joshua Baraka’s perspective particularly interesting is that it is coming from an artist representing a younger East African scene that seems increasingly confident in its own identity. Throughout the interview, he speaks about East Africa not as a supporting character within African music, but as a region developing its own emotional language, sonic identity, and creative philosophy. His breakout record Nana was not simply a hit song. It became proof that East African artists could create globally resonant music without abandoning the specificity of where they come from.
And perhaps that connects back to the AI conversation more than people realize. Because the artists most likely to survive technological disruption are probably the ones most deeply rooted in something machines cannot easily imitate, which is perspective, emotional honesty, cultural memory, and lived experience.
Read more Music stories from KLATMAG
Read more of KLAT x Afrobeats Intelligence Recaps
Listen to the Afrobeats Intelligence Podcast with Joshua Baraka
