AI in Music: A Creative Tool, Not a Replacement
Recent reporting by NME and The Hollywood Reporter has highlighted an interesting development in the evolving relationship between music and artificial intelligence. Singer-songwriter and producer Charlie Puth has been appointed Chief Music Officer of the AI-powered music platform Moises, a tool widely used by musicians to analyse and experiment with audio recordings.
One comment from Puth stood out in particular. He noted that he has already been using AI tools in his creative process for years.
For many working artists, this will not be surprising. Artificial intelligence has not suddenly appeared in music production. It has been gradually integrating into studio workflows, often in practical and relatively invisible ways.
AI as part of the studio toolkit
Moises is best known for tools that allow musicians to separate vocals and instruments from a track, detect chords, slow down recordings and analyse arrangements.
These capabilities allow artists to break down complex pieces of music and experiment with ideas more quickly than traditional studio methods would allow. For songwriters and producers, this can significantly reduce the time it takes to test arrangements or explore new musical directions.
In practice, tools like these function less like composers and more like assistants in the production environment. They help musicians understand recordings, experiment with ideas and move quickly between creative iterations.
The platform now serves tens of millions of users across the world, showing how widely these tools have already been adopted by musicians, producers, teachers and students.
For artists such as Puth, who combine songwriting and production in their creative practice, this kind of technology can remove some of the technical friction that slows experimentation. The result is more time spent focusing on musical decisions.
Technology has always shaped music creation
The relationship between music and technology has always evolved.
Multitrack recording changed how songs were constructed in the studio. Sampling technology transformed composition. Digital audio workstations brought professional production tools into home studios.
Each technological shift has raised questions about authenticity and creative control. Over time, many of these tools simply became part of the everyday infrastructure of music production.
Artificial intelligence appears to be following a similar path. In many cases it supports musicians rather than replacing them.
This perspective is reflected in Puth’s role within Moises. His appointment suggests a growing effort by technology companies to involve artists directly in the development of creative tools. Instead of building software in isolation, platforms are increasingly seeking input from musicians who understand the realities of the studio.
The concerns around AI remain valid
At the same time, the wider debate around artificial intelligence in music is far from settled.
Many artists and industry organisations have raised concerns about how generative AI systems are trained, particularly when copyrighted music may be used without permission or compensation.
These concerns become more pressing when AI systems move beyond workflow support and into the generation of entirely new music.
Questions around attribution, copyright and fair compensation are therefore central to the ongoing discussion about AI in the creative industries.
Europe’s response: protecting creative work in the AI era
These issues are also shaping policy discussions across Europe.
Recent discussions in the European Parliament have highlighted the need to protect copyrighted works as artificial intelligence technologies continue to develop. Policymakers are increasingly calling for greater transparency around how AI systems are trained and how copyrighted content may be used.
The debate reflects the importance of Europe’s cultural and creative sectors, which represent both a major economic contribution and a vital part of the continent’s cultural identity.
The goal is not to halt technological innovation, but to ensure that new tools develop alongside clear frameworks for copyright protection, transparency and fair compensation.
Why this conversation matters
Across the wider creative ecosystem, from music and film to animation and design, artificial intelligence is becoming part of everyday production environments.
Projects such as AI in the Creative Industry focus on understanding how these technologies are being adopted, how creative professionals are responding to them, and how education and industry can work together to support responsible innovation.
The conversation is therefore about more than tools. It is about how creative work evolves, how knowledge is shared, and how the people behind cultural production remain central to the process.
Technology can support creativity, but it cannot replace the curiosity, experimentation and emotional expression that sit at the heart of music.
