In February 2026, Mikey Shulman, CEO of Suno, reported that more than 100 million people had used the platform and two million had become paying subscribers. Its annual recurring revenue had reached $300 million. In June, Suno announced a further $400 million funding round at a reported $5.4 billion valuation, a separate measure from annual recurring revenue. These figures show the scale of the business, but they do not, by themselves, tell us how much paid work AI music has replaced or what Nigerian creators stand to lose.
Pay $15/month and boom, you're a musician.@suno just hit $300M ARR, letting anyone create songs with AI in seconds.
— My First Million (@myfirstmilpod) March 28, 2026
The brutal side:
Backup singers humming along for 20 years could see their revenue drop to effectively zero.
The math: SoundCloud has 40M real musicians.… pic.twitter.com/uQ6wk58cbE
Pay $10 a month and write a text prompt. Suno handles the melody, the lyrics, the arrangement, the production, the vocals. In seconds. No instrument required. No studio required. No producer required. No years of learning required.
Suno sells this as easier music-making. The Nigerian industry’s question is harder: what happens to the people whose work sits between “I have an idea” and “I need a finished song”?
The Number That Should Make Lagos Pay Attention
SoundCloud has roughly 40 million musicians on its platform. That took 15 years to accumulate. Suno’s addressable market is not musicians. It is everyone who ever wished they could make music — a number that runs into the billions.
The jump from $200 million to $300 million in annual recurring revenue in about 90 days is the part worth watching. Menlo Ventures has said word-of-mouth was a major growth driver, with users sharing songs directly rather than relying on traditional advertising. People are not only trying the tool; they are passing the results around.
Legal challenges to Suno have continued alongside licensing deals. In July 2026, a Munich court ruled that Suno had infringed copyright by processing songs without the required rights; the company said it was considering an appeal. Separately, Warner Music Group reached a licensing agreement with Suno, while reporting in June said Universal Music Group continued its US case. These developments show that litigation and commercial negotiations are proceeding at the same time, but they do not settle every legal question about AI-generated music.
What matters for Nigeria is a specific question: whose music trained these models, and who benefits when those models generate something that sounds like it came from Lagos?
It Has Already Arrived in Nigeria
The Nigerian data is not theoretical. In 2025, Urban Chords, an AI studio, released a compilation titled Choir Refix that debuted at number 43 on the Nigerian Official Top 100 Albums chart, accumulating 834,000 on-demand streams. An AI-generated project appearing on the same chart as Wizkid, Asake and Seyi Vibez. The infrastructure of Nigerian music reception did not distinguish between them.
Nigerian singer FAVE’s single Intentions from July 2025 received a new AI version from Urban Chords that went viral. FAVE then officially re-released the track in collaboration with Urban Chords. The video circulated widely on TikTok before she made the move official. That decision is the most instructive data point in the Nigerian AI music conversation so far. A human artist found that an AI version of her song prompted an official re-release with Urban Chords; the available account does not establish how its traction compared with the original release. Whether that is pragmatism or capitulation depends on how you believe this plays out.
Nigerian producers Mykah and Eclipse Nkasi have already released AI-generated Afrobeats albums. Kumi Bora, described as an emotionally intelligent AI artist making Afrobeats music, exists as a non-human entity generating music in the genre. Eclipse Nkasi has said publicly that producing his AI album took $500 and three days, compared to thousands of dollars and three months without AI tools.
A 2025 survey by Deezer and Ipsos across 9,000 respondents in eight countries found that 97% of participants could not reliably distinguish between fully AI-generated music and music made by humans. That number is the most important statistic in this entire conversation. If listeners cannot tell the difference, the market does not automatically protect human creators.
What Suno’s CEO Actually Believes
Suno CEO Mikey Shulman has argued that making music can take too long, especially when people have to spend years learning instruments before they can create what they hear in their heads. That idea sits underneath the product: remove as much of the technical process as possible and let the prompt become the starting point.
Shulman’s framing positions Suno against what he calls the cultural flattening of algorithmic content feeds, arguing that “endless scrolling and passive consumption have flattened culture.” His solution is a platform where anyone can generate whatever they want to hear.
The problem is what gets lost when all of that preparation is treated only as friction. Kel-P’s production knowledge, Pheelz’s years of arranging and writing, even the sounds Wizkid absorbed growing up in Ojuelegba are part of why Nigerian music sounds specific rather than generic. You can reproduce some of the surface features with software. You cannot reproduce the life that produced them.
That is the cultural problem for Afrobeats. A prompt can reproduce the rhythm, tempo and familiar sonic cues. It cannot reproduce the particular history behind the music. The market may not always care about that difference, which is why the question of who gets paid for the underlying culture matters.
Who Gets Hurt First?
The biggest stars are probably not the first people to feel the pressure. Their value sits in identity, audience and live performance as much as in the recording itself.
Wizkid will not be displaced by Suno. Neither will Burna Boy, Davido or Tems. Their value is not primarily in the technical act of music generation. It is in the identity, the biography, the live experience, the cultural weight that audiences project onto them. You cannot generate a Burna Boy concert experience from a text prompt.
The pressure is more immediate for people who sell production time: session vocalists, beatmakers, jingle composers and other creators who are paid to produce competent, usable music quickly. That is exactly the part of the value chain a low-cost generative tool can attack.
Suno’s tiered pricing runs from free for 10 songs per day to $10 per month for 500 songs and $30 per month for 2,000 songs. At $10 a month a marketing team can generate all the background music it will ever need for its social media content. At $30 a month a content creator can produce original-sounding tracks for every video they ever make. The session vocalist and the jingle composer are not competing with that on price.
The Afrobeats Specific Problem
The copyright lawsuit that major labels filed against Suno is not just about protecting the revenue of established Western artists. It is about the training data question, whose music taught these models to sound like music?
Afrobeats reached the global mainstream relatively recently. Its sonic vocabulary, the specific drum patterns, the melodic approach, the rhythmic feel that makes it identifiable, was built over decades by Nigerian artists and producers working in Lagos studios and building a sound from the inside out. When Suno generates an “Afrobeats track” from a text prompt, it is drawing on patterns learned from recordings those artists made. The compensation structure for that training, if it exists at all, has not been disclosed.
Warner Music Group‘s settlement with Suno allows the platform to build models using music from its catalogue. Sony Music Entertainment and Universal Music Group are still in active litigation. The major Nigerian artists signed to these labels: Tems on RCA Records, Burna Boy on Atlantic Records are technically covered by these proceedings. The vast majority of Nigerian artists who are independent, distributed through EMPIRE, ONErpm, Dapper Music, Audiomack or Distrokid, are not part of any discussion about how their music was used to train models that now compete with them.
The Question Nigerian Music Needs to Answer
Nigerian music industry voices are divided. Osarumen Osamuyi, producer and technology analyst, argues that human-led, AI-assisted workflows will dominate. Audiomack co-founder and CMO David Ponte sees the shift toward democratisation accelerating. Mavin Records A&R professionals are watching carefully.
The honest position is that AI music tools are already being used by Nigerian producers and the question is not whether to engage with them but how. Eclipse Nkasi’s $500 album in three days is one version of that engagement. Pheelz using AI tools to test ideas faster while keeping final creative decisions in human hands is a different version. FAVE absorbing the AI version of her song into her official catalogue is a third version.
None of those positions is automatically right or wrong. But they represent different bets about where the value in music is going to live.
If audiences judge music mainly by the final audio, generative tools have an obvious advantage because they can make enormous amounts of it cheaply. The Deezer survey cited earlier suggests listeners already struggle to distinguish fully AI-made tracks from human-made ones. That makes the business question much more urgent.
If the value sits in the person behind the music, the calculation is different. People follow Seyi Vibez because the records feel tied to his life, language and audience, not because nobody else could make a similar drum pattern. That identity is harder to automate.
So the fight is not simply “AI versus artists.” It is about what the market chooses to pay for: the sound itself, the person who made it, the rights behind the training data, or some combination of all three.
When Suno reported $300 million in annual recurring revenue in February 2026, it was still a young company. By June, its reported valuation had risen to $5.4 billion following a new funding round. Nigeria’s music industry faces a different set of challenges, including royalty collection, ownership documentation and the economics of streaming. The comparison is not between equivalent businesses; it is a reminder that new music technology is scaling while long-standing industry infrastructure problems remain unresolved.
The platform generating 7 million songs a day is not going to pause while those problems get solved.
Explore our Nigerian music business analysis for more on ownership, royalties and artist strategy.