I’m 58 years old, and I’ve spent a good part of my life on the bleeding edge of music technology. I’ve also spent a good part of that time listening to people explain why whatever just came along was going to ruin music.
The equipment changes. The arguments have a familiar sound.
I remember four-track cassette recorders opening up possibilities for musicians who couldn’t afford a commercial studio. You could put down an idea, add another part, bounce tracks, and keep going. You also had to make decisions along the way. Anybody who worked that way remembers what happened to the sound when you bounced one too many times.
Then there were synthesizers, drum machines, MIDI, and samplers. Depending on whom you asked, each one was either an exciting way to make music or further evidence that musicians were headed for extinction.
In 1992, I was recording audio on a computer and looking at sound as waveforms on a screen. Think about how strange that seemed at the time. You could see the sound, move it around, cut it, and put it back together without taking a razor blade to a piece of tape.
We went through the ADAT era, when digital multitrack recording became accessible to far more musicians. We had CDs and DAT. MIDI and digital audio workstations came together, and suddenly the notes, sounds, editing, and mixing could live in the same environment. Loops and samples became part of how musicians built records. Plug-ins put processing tools inside the computer. Digital mixers changed what could be done at the board.
And somewhere along the way, Auto-Tune arrived. I think most of you remember that conversation.
Some of the criticism was fair. Some of it was poppycock. Much of it came down to a question musicians have been arguing about for as long as I can remember: If a machine helps you do something, how much credit do you deserve?
It’s a good question. It’s also one that music educators are perfectly capable of helping students answer.
I became involved with Technology in Music Education, or TI:ME, in 1997. Since then, I’ve heard plenty of versions of the argument that bringing technology into the classroom would take time away from “real” music. I’ve also watched educators use those same tools to help students understand rhythm, hear harmony, record themselves, write music, and discover talents they didn’t know they had.
In my September Coda, I wrote about my youngest son, The Beatles: Rock Band, and what happened after a video game helped spark his interest in music. He eventually wanted a real bass. He learned songs through tablature on a screen, and later he and his friends became curious about the theory behind what they were playing.
I called it learning in reverse. However it happened, the interest was real, and they’re still playing.
That story is part of why I’m not ready to dismiss a student who types an idea into an AI tool and gets back a song. Is the student now a composer in the same sense as someone who wrote every note? No. But that student may hear something that makes them want to know more. Why did the chorus work? What happened when the harmony changed? How would it sound with a different melody? Could they play that part themselves?
A teacher can take that curiosity somewhere.
And there are plenty of other ways to use these tools. A student can write a melody, save the score or MIDI, and experiment with an arrangement. A teacher can use a generated example to start a discussion about form, instrumentation, or lyrics. A young musician can explore a sound or an instrumental color that isn’t available in the classroom, then decide what belongs in their own work.
Listen to the result. Compare it with the student’s source. If the tool changes a melody or supplies a countermelody, talk about it. If the trumpet part sounds great but sits too high for the player in your band, that’s a lesson too. Put the music in front of an actual musician and see what happens.
There are serious questions around AI: how systems are trained, whose work is used, how creators are compensated, and what happens when someone passes generated work off as their own. We should be honest about all of it. Musicians have good reasons to care about their work and their livelihoods. Music teachers have good reasons to care about what a student actually knows how to do.
But I have a hard time accepting that the best answer is to shut the door before we’ve explored what’s on the other side.
I still play guitar. I still enjoy working with other musicians. I’d rather hear a player bring something personal to a part than pretend a computer did the playing. Nothing about my interest in a new tool has changed that.
At 58, I’ve seen enough “music-killing” technology come and go to know that musicians are remarkably good at finding uses for things their predecessors didn’t have. We argue, we experiment, we make some bad music, and, once in a while, we make something wonderful.
Our students deserve the chance to do the same. Give them the tools. Ask them what they hear. Help them understand what the music is doing. Then let’s see where they take it.