AI and music: the musician in a new era

The first time I heard a piece created entirely by artificial intelligence, I was quiet for a moment. Not out of admiration, and not out of fear. Out of puzzlement. I asked myself: what exactly am I listening to? A result. A product of statistical prediction across millions of musical moments. But something very specific was missing: the reason. Nobody had anything to say. And that, in the end, is the real question: not whether AI can make music, but whether it has something to say.

What AI is doing in music today

AI programs that generate music, like Suno, aren’t just “toys.” They’re complex tools trained on huge amounts of recordings, and in seconds they can produce a track in a specific style and tempo, even with vocals. Someone who knows nothing about music can type “blues with piano, melancholy, 1950s” and get a result that sounds, on the surface, convincing.

That’s no small thing. It’s the first time in history that producing sound has been completely disconnected from performing, from understanding and from lived experience. In the past, even the simplest DAW required some knowledge. Now a sentence is enough.

Adam Neely, one of the most serious music thinkers and educators online, devoted a whole 90-minute video to the subject, and his conclusion wasn’t simply “this is bad.” It was more subtle: the problem isn’t the technology itself but the philosophy behind it. When an AI music company tells you “you don’t need a teacher, you don’t need to study” and presents that as progress, something has gone deeply wrong in how we understand creation.

Will AI replace the musician?

The question is understandable, but it may be the wrong one. This isn’t the first time a technology has threatened to “erase” the musician. In 1877, Thomas Edison introduced the phonograph. Many feared nobody would need to play live anymore. In the 1980s, synthesizers allowed one person to replace an entire orchestra. Auto-Tune “saved” singers who couldn’t sing. GarageBand put a studio on every teenager’s computer.

And yet live music didn’t die. Musicians didn’t disappear. On the contrary, each time, those who chose to evolve along with the technology found new room, often stronger than before.

What’s changing today is the scope of the threat. For the first time, it isn’t only the profession that’s under threat, but also the idea of music as a process of learning. And that’s where the real question lies.

What a musician does better than an AI operator

This is the question we need to answer honestly, without excessive optimism, but also without excessive fear.

To put it differently: AI can produce a good musical result. It can’t make music as an act. And music as an act, as communication, as ritual, as teaching, is what people are looking for when they go to a concert or send their child to a teacher.

How the professional music landscape is changing

It’s only honest to say that some things will change, and soon. Producing “background music” for videos, ads and podcasts is already an area AI is covering more and more. The same goes for part of the work session musicians do on demos.

That means some of the work that used to support young musicians, and even experienced ones, will become rarer. We shouldn’t ignore that.

But at the same time, other spaces are opening up:

• Live performance. The more AI floods the digital space with generated music, the rarer, and more valuable, live performance becomes.
• Education. The demand for genuine music education isn’t shrinking. On the contrary: those who understand the why of music will be worth more.
• Curation and context. Someone has to know what good music is, what it isn’t, and why. That judgment is strictly human.
• Music as therapy and community. Schools, conservatories, jam sessions, music therapy: all of these rest on human presence.

In jazz especially, which is built on improvisation, musical conversation and the dynamics of the group, AI can’t get into the room. It may be in the studio, but not on the stage.

Music education: useless, or more necessary than ever?

This is the question I hear most often from parents and students: “If AI can make music, why should I learn?”

My answer is simple: you learn music to become the person who understands music, not just the user who consumes it or the operator who produces it.

Think of it this way: if AI can produce a painting, does that make painting useless? If GPS knows every road, does that mean you don’t need to know how to read a map? Education isn’t only about the result. It’s about the process, about who you become through it.

A student who learns piano for years develops their ear, concentration, resilience in the face of difficulty, and the ability to listen deeply. No prompt replaces those qualities. In fact, in how you study a jazz standard, the process itself (understanding the structure, hearing how the notes relate, telling a story across 32 bars) is exactly what builds a musician.

Music education isn’t becoming useless. It’s becoming more necessary, because the world will fill up with generated sound, and we’ll need people who can tell the deep from the superficial.

How to approach AI with respect, for music and for ourselves

Neither fear nor blind acceptance is the right attitude. The right attitude toward any new tool is understanding: what it can do, what it can’t, and how it serves my purpose.

Personally, I don’t use AI in composing or in teaching, at least not yet. But I don’t deny that there are possible applications that could support the learning process: instant feedback on mistakes in your playing, personalized backing tracks for practice, visualizing harmonic structures. These aren’t threats. They’re possible tools.

What we should avoid is using AI as a shortcut to skip the difficulty. The difficulty is the teacher. The resistance you feel when a piece won’t come out, when a scale won’t settle into your hands, when you can’t hear an interval: that resistance is the learning. There’s no prompt for it.

The video worth watching

One of the most substantial videos made on this subject is “Suno, AI Music, and the Bad Future” by Adam Neely, a jazz musician and educator who studied at Berklee and the Manhattan School of Music. It’s neither for nor against. It’s an honest, philosophically grounded video about what is really at risk, and what isn’t.

Final thoughts: the musician in a new era

Jazz has taught us something valuable about times of crisis: adapt, but don’t lose your voice. Miles Davis didn’t reject the electric piano, synthesizers or the rock aesthetic. He embraced them and made them his own. That wasn’t compromise. It was evolution.

We’re called to do the same now. Not to fear the new tools. To understand them. To use them where they serve the music, and to leave them out where they don’t belong.

Because music isn’t only sound. It’s someone’s need to express themselves, and someone else’s need to listen. That exchange, that human connection, isn’t generated by any program. And if you’re looking to build a language to express yourself through jazz, developing jazz vocabulary, instead of just memorizing licks, is exactly that process: you build something of your own that can’t be copied.

The musician of the new era isn’t competing with the machine. They do what only they can do: they are present.