Across creative industries globally, anxieties surrounding AI-generated content have intensified over the last two years.
In 2025, American pop artist Kesha faced backlash after using AI-generated artwork for her single ‘Delusional‘, with critics accusing the singer of replacing human designers with machine-generated aesthetics. The criticism eventually became loud enough that the artwork was replaced entirely, a controversy that now feels increasingly reflective of similar tensions beginning to emerge within Afrobeats culture itself.
Recently, Nigerian music executive and artist Larry Gaaga found himself at the centre of similar criticism after using AI-generated artwork to promote a new release. Not long after, another controversy surfaced around the AI-generated cover art for Come Slide, the collaborative single by KFMD featuring Qing Madi, Bnxn, and Victony.
Following criticism online, the artwork was eventually replaced across streaming platforms after fans and creatives expressed frustration over the increasing normalisation of AI-generated aesthetics within music culture.
At first glance, these situations seem like straightforward conversations about protecting creativity. But the deeper reality is far more complicated. Because the music industry currently appears both fascinated by AI and deeply uncomfortable with it.
Artists, labels, and creative teams are increasingly adopting AI tools for cover art concepts, rollout ideas, visualisers, editing assistance, and marketing assets. For independent musicians especially, AI offers affordability inside an industry that constantly demands world-class presentation without providing world-class support.
But once AI begins entering spaces tied directly to music ownership and monetisation, the industry’s tone changes almost immediately.
That contradiction became more visible following Spotify’s recent collaboration with Universal Music Group to expand AI-assisted remix and cover functionalities for premium users. The initiative reportedly allows subscribers to generate alternate versions and remixes from approved catalogues while compensating participating rights holders. Unsurprisingly, the announcement sparked concern from artists and executives who questioned the long-term implications of AI-generated music experiences.
And honestly, the concern makes sense. Because while many artists appear comfortable using AI when it reduces visual or promotional costs, anxiety suddenly intensifies once the same technology threatens royalties, ownership, vocal likeness, or artistic control itself.
That selective discomfort reveals the complicated position the industry now occupies. For visual creatives, the fear surrounding AI is legitimate. Cover art has always been an important part of music storytelling, particularly within Afrobeats where visuals often shape an artist’s mythology before listeners even press play. From Mo’Hits-era maximalism to the sleek luxury branding of modern Afrobeats exports, artwork has always been deeply tied to identity and perception.
So when artists replace illustrators with Midjourney prompts and AI generators, many creatives understandably interpret the shift as displacement rather than experimentation. At the same time, many artists adopting these tools are not necessarily acting out of malice.
In places like Nigeria, emerging musicians are expected to maintain globally competitive aesthetics long before receiving meaningful financial backing. High-quality artwork, branding campaigns, and visual rollouts are expensive. AI enters that gap offering speed, convenience, and affordability.
That is what makes the current conversation difficult to flatten into simple “good” or “bad” arguments. The same technology threatening certain forms of creative labour is also becoming a survival tool for artists navigating unstable creative economies.
And perhaps that is the real irony surrounding music’s AI era. The industry has always embraced technology when it improves efficiency. Streaming, social media algorithms, and TikTok-driven rollouts all reshaped music culture despite initial resistance. Artificial intelligence simply pushes that logic further into the creative process itself.
Still, there remains one thing AI continues struggling to replicate convincingly: lived human experience.It can imitate aesthetics. It can generate visuals. It can reproduce sonic textures. But it cannot organically inherit the social realities, emotional memory, and cultural context that shape music in the first place.
And maybe that becomes the most important distinction moving forward. Because the real tension surrounding AI is not simply about whether machines can create. It is about how much humanity the music industry is willing to preserve once convenience becomes impossible to resist.
