Illustration of a young man in a music room with a laptop on his lap, considering the next generation of AI musical influence

The Next Generation: The Emerging Truth About AI and Music Careers

TJMLJSBW
Published Sep 12, 2026 · Updated Sep 12, 2026 · 5 min read

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Featured in this articlePatricia Butler · ArtistWorks Co-Founder

The next generation of musicians is walking into a professional world that didn’t exist when their teachers were coming up. That’s not an exaggeration or a scare tactic. It’s what working musicians and educators are saying openly, in conversations that are becoming harder to ignore. This piece sits inside a larger look at how seven working musicians and experts are actually navigating AI. It focuses specifically on career: the entry-level work that doesn’t exist anymore, the mentors who don’t have answers. The genuine disagreement about what any of this means long-term. The picture is complicated, and this article won’t pretend otherwise.

The Next Generation Nobody Prepared For

Elijah Mayfield puts the situation plainly, and it’s worth sitting with what he’s describing. “There is a whole wave of people that were in high school during COVID and that now went to college during AI, and that are now trying to make it in this entirely rewritten world… Their elders, the people they should be looking up to, do not have answers for them.”

That’s a significant observation. This is a generation that lost formative years of live performance, in-person mentorship, and normal creative development during the pandemic. Then, before they could recover that ground, the professional landscape shifted again. The people with experience and credibility in this industry are being asked questions they genuinely cannot answer. If you are a teacher or mentor, the most honest thing you can say to a student asking about AI and career right now is: I don’t fully know. That honesty is more useful than false confidence.

When Hit Songwriters Stop Recommending Their Own Path

One of the clearest signals that something structural has changed comes from the people who built careers doing exactly what young musicians want to do. Alison Brown reports a pattern that is hard to dismiss. “I’ve had a lot of hit songwriters tell me they would never say to a young person, ‘you should make a life as a songwriter,’ because it’s an incredible threat to their livelihood that you can write these songs so easily using AI.”

Think about what that represents. These are people who love their craft enough to have spent decades doing it. They are not pessimists. They are not technophobes. And yet they are advising young people away from the exact path they built for themselves. That is not a fringe position. That is experienced professionals reading their own industry clearly. The next generation deserves to hear this honestly, not softened.

The Appeal of Instant Output and the Cost of Skipping the Hard Part

Sierra Hull raises a concern that is separate from the economic threat, and it deserves its own space. “The authenticity, and the will to sit in a room and really learn to play an instrument, and the focus and the dedication of that, may become less appealing to a younger generation because of all the things that are just there.”

This is not a complaint about young people. Instead, it’s an observation about incentive structures. When instant, polished-sounding output is available, the case for sitting with discomfort becomes harder to make. That’s especially true before someone has experienced what real skill actually makes possible. The problem is that the reward of deep musical ability is mostly invisible until you’re far enough inside it to feel it. What that kind of deep engagement actually does to a player’s brain and creative capacity is worth understanding. It’s the argument Hull is implicitly making. The next generation may need to hear that argument explicitly, from people who have lived it.

Access Is Not a Simple Question

Here is where the conversation gets more complicated. Restricting AI tools has real costs, and Samuel Smith makes the case clearly. “The idea of telling millions of people with arthritis, MND, Parkinson’s — ‘no, sorry, you can’t use this technology in order to access creativity’ — is a dangerous step. Dictating the terms of access to creativity is a dangerous place to be.”

Smith is talking about people living with conditions that make conventional instrument playing impossible or extremely difficult. For those individuals, AI tools are not a shortcut. They are the only available path to musical expression. Any serious conversation about limiting AI in music has to account for this. The next generation includes people with disabilities. A framework that protects career musicians while closing off creative access for people who need these tools most would be a poor trade. How audiences respond to AI-generated music is one part of this conversation. Who gets to make music at all is another, and equally important.

The Dissent the Next Generation Should Also Hear

Not everyone in this conversation is worried, and that position also deserves a fair hearing. Jason Vieaux offers a direct counter. “The more it’s pushed onto us, the more people are going to crave it. I honestly think we’re going to be OK.”

Vieaux’s argument rests on a real historical pattern. Cultural appetite for authenticity tends to sharpen when something threatens it. In other words, the more artificial the landscape becomes, the more valuable genuine human skill may feel to audiences. This doesn’t resolve the economic problem Alison Brown is describing. However, it does suggest that the next generation of musicians who commit to real craft may find that commitment matters more, not less, as AI-generated content becomes ubiquitous. What skeptical musicians actually found when they engaged with AI directly adds some texture to this optimism.

What This Means If You’re Teaching or Mentoring

So where does this leave the people responsible for the next generation of musicians? A few things seem clear. First, the entry-level work that has historically built careers is under genuine pressure. That’s not a hypothetical. Second, the pull toward instant output is real. It will affect some young musicians before they understand what they’re trading away. Third, access is not a monolithic question. For some people, AI tools are not a luxury but a necessity.

Furthermore, the disagreement among experienced, thoughtful people in this field is itself meaningful. When Vieaux says things will be OK and experienced songwriters say they wouldn’t recommend the profession, both views are being held simultaneously. The next generation needs mentors who can hold that tension honestly. Resolving it prematurely in either direction doesn’t serve anyone. How musicians protect and develop their creative voice inside all of this is the practical question that follows from everything discussed here.

Staying Honest Inside the Uncertainty

The broader conversation about music, meaning, and AI doesn’t resolve into a single conclusion, and this article won’t pretend the career question does either. The counter-argument about access is still on the table. Vieaux’s dissent is still on the table. Both matter.

What is clear is that the next generation is navigating something genuinely new, often without adequate guidance. The most useful thing any mentor, teacher, or working musician can offer right now is honesty about that. Not reassurance. Not alarm. Just an accurate account of what is known, what is unknown, and what is worth paying attention to.

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About the Education Team

TJMLJSBW
TrueFire Studios Education Team

Four music-industry veterans with decades of combined experience in music education, curation, and production at TrueFire and ArtistWorks. The TrueFire Studios Education Team plans and edits this content and works with our master-musician faculty to keep it accurate and genuinely useful.

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Featured Contributor

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Patricia Butler
Co-Founder of ArtistWorks
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ArtistWorks