Is AI replacing producers in the music industry?
Music production is entering a new phase. AI can now create beats, melodies, vocals and full tracks in minutes, raising a bigger question: is it a new creative tool or competition for producers?
AI can generate musical ideas, vocals and arrangements almost instantly, while other tools can separate stems, clean audio, and assist with mixing and mastering.
Today, AI can generate musical ideas, vocals and arrangements almost instantly, while other tools can separate stems, clean audio, and assist with mixing and mastering.
The technology is moving quickly enough that the music industry is having to reconsider what it means to be a producer.
The rise of AI-generated music
In April 2026, Deezer reported almost 75,000 fully AI-generated tracks every day, representing about 44 percent of all daily music uploads on the platform.
By July, AI-generated music had passed 50 percent of new uploads. But the amount of music being created is not the same as the amount people want to hear. Deezer said AI-generated music accounted for only 1 to 3 percent of total streams at the time of its April report. It also found that around 85 percent of streams on fully AI-generated music were fraudulent and therefore demonetised.
The producer’s role is changing
AI does not have to replace an entire producer to change the profession. It only needs to take over parts of the job. Generating a basic beat, suggesting melodies, creating harmonies, separating vocals from an instrumental and assisting with mixing can increasingly be automated.
Instead of starting with an empty project, a producer can use AI to generate several ideas and then decide which ones are worth developing. The producer becomes less focused on manually creating every sound and more focused on selecting, shaping and directing the final record.
The real value is in the creative decisions
A good producer understands the artist. They know when a singer should push their voice, when a beat is doing too much and when a chorus needs something different. Music production has never been only about putting sounds together.
For a Nigerian artiste, production can involve understanding language, rhythm, audience, musical history and the sounds that make a record feel familiar without making it predictable.
Also Read: Nollywood loses easy access to Afrobeats
AI can generate something that sounds like Afrobeats. The harder task is understanding why a particular rhythm, vocal pocket or arrangement works for a particular artist.
That creative judgement remains difficult to automate.
The industry is moving from resistance to collaboration
One of the clearest signs of change is that major music companies are no longer only fighting AI companies. They are also beginning to work with them.
On September 9, 2026, AI music company Suno launched its V6 models, developed using licensed music through partnerships involving Warner Music Group and BMG.
The following day, Universal Music Group announced a multi-year agreement with ElevenLabs to develop a licensed AI music platform. The planned platform will allow fans to create remixes, mashups and new interpretations of music from participating artists.
Deezer reported that 97 per cent of people surveyed could not reliably distinguish AI-generated music from human-made music, while 80 per cent said fully AI-generated music should be clearly labelled.
The biggest debate may ultimately be about who gets paid. These questions are already reaching the courts.
Sony Music and Warner Music sued Anthropic in August 2026, accusing the AI company of unlawfully using copyrighted song lyrics and sheet music to train its Claude models.
What does AI mean for music producers?
A producer who once spent hours creating a basic musical idea can now generate several options in minutes. Technical tasks that previously required specialist skills can also be automated.
But that does not make the producer irrelevant; if anything, it could make creative judgement more important.
When anyone can generate a beat, knowing how to make a beat may no longer be enough. Producers will need to know how to shape an idea, understand an artist, protect originality and decide what should stay out of a song.
The producer of the future may therefore spend less time creating every sound from scratch and more time directing the creative process.
AI can generate the possibilities, but the producer decides which one deserves to become the song.
