Where Lies the Soul of Music?

Searching for Authenticity in an Age of Artificial Sound

Like many of my Substack ideas, this one arrived while I was taking my morning walk through the park. There is something about the rhythm of walking that allows thoughts to settle into place. On this particular morning, I found myself reflecting on a question that I never would have considered fifty-four years ago when I first began building my music collection. Back then, the answer would have seemed obvious. Today, it feels far less certain.

Where does the soul of music reside?

In the era of vinyl records, cassettes, 8-tracks and even the early years of CDs, most listeners never questioned the origins of the music they were hearing. We assumed that every album represented the efforts of musicians, songwriters, engineers, and producers working together to bring creative ideas into the world. Whether we loved or hated the final result, we understood that somewhere behind the recording were human beings investing time, effort, passion, and imagination into the process.

Music was more than a product. It was an expression.

Today, we find ourselves in a very different landscape. Artificial intelligence programs can now generate complete songs from a few lines of text. Type in a description, wait a few moments, and a finished recording appears. The technology is advancing rapidly, and the results are becoming increasingly convincing. For some listeners, this is an exciting development. For others, it raises profound questions about creativity, authorship, and authenticity.

The debate often focuses on whether AI-generated music sounds good enough to compete with human musicians. I suspect that is the wrong question.

The real question is whether sound alone is enough.

Imagine two songs that are nearly identical in quality. One was created by a songwriter drawing upon years of experience, joy, heartbreak, curiosity, and dedication. The other was assembled by an algorithm trained on vast amounts of existing music and instructed to generate something similar. If the recordings sound equally appealing, are they truly the same thing?

Technically, perhaps.

Emotionally, I am not convinced.

When I think about the music that has mattered most in my life, it has never been solely about the notes being played. The music became meaningful because it connected me to another human being. Every great artist leaves traces of themselves within their work. We hear their influences, their struggles, their dreams, and their unique perspective on the world. The recording becomes a bridge between creator and listener.

That bridge may be invisible, but it is real.

When I listen to an album by an artist I admire, I know that someone devoted months or years to bringing those sounds into existence. The music reflects choices, sacrifices, successes, failures, and countless moments of inspiration. Even when electronic instruments, synthesizers, computers, and sophisticated software are involved, there is still a person guiding the process. The technology serves as a tool for expressing human ideas.

That’s why I don’t place synthesizers, sequencers, or digital recording software in the same category as fully AI-generated music.

A synthesizer doesn’t compose an album on its own. A workstation doesn’t decide what emotional journey a piece of music should take. These tools remain extensions of human creativity. They allow artists to realize ideas that might otherwise remain trapped in their imagination.

Artificial intelligence changes that relationship.

When a complete song can be generated through a prompt, much of the creative process is shifted away from the artist and into the machine. The person entering the prompt may influence the outcome, but influence is not the same thing as authorship. There is a meaningful difference between composing a piece of music and requesting that one be generated.

Some will argue that listeners should not care about these distinctions. If a song sounds good, then it has fulfilled its purpose.

Perhaps.

Yet I wonder if this perspective overlooks something essential about why music matters in the first place.

Human beings are storytellers. We seek connection through art because art allows us to share experiences that cannot easily be communicated through ordinary conversation. A song can express grief, hope, wonder, loneliness, or love in ways that words alone often cannot. We respond not merely to the sounds but to the humanity behind them.

Can an algorithm possess grief?

Can it experience wonder?

Can it fall in love, lose a friend, struggle with self-doubt, or find inspiration while walking through a park on a quiet morning?

The machine can imitate the language of these experiences. It can reproduce the patterns associated with them. But imitation and experience are not the same thing.

As AI-generated music becomes increasingly common, another challenge emerges. Listeners may find themselves questioning whether the artists they encounter are even real. A new name appears on a streaming playlist. The songs accumulate thousands or millions of plays. The artist biography seems vague. Photographs look suspiciously perfect. Social media activity feels strangely generic.

At some point, listeners may begin conducting their own investigations simply to determine whether a musician actually exists.

That possibility would have sounded absurd a decade ago.

Today, it feels entirely plausible.

Meanwhile, independent artists face a difficult reality. While they spend months crafting an album, AI systems can generate thousands of tracks during the same period. Streaming platforms already struggle with oversaturation. The arrival of virtually unlimited machine-generated content threatens to make discovery even more difficult for musicians who devote their lives to developing their craft.

The concern is not that AI will create better music.

The concern is that it can create enough music.

In a marketplace driven by volume, speed, and algorithms, quantity often gains advantages over quality. That reality places genuine artists at a disadvantage regardless of how talented they may be.

Some companies and platforms have begun establishing policies regarding AI-generated content. Others continue to embrace it enthusiastically. The debate is likely to continue for years as technology evolves and public attitudes shift.

For my part, I keep returning to the same conclusion.

The soul of music does not reside in microphones, guitars, synthesizers, software, or streaming platforms. It does not reside in data centers or machine-learning models. Those things may help create, record, distribute, and preserve music, but they are not the source of its deepest meaning.

The soul of music resides in the human desire to express something that cannot remain unspoken.

It lives in inspiration.

It lives in passion.

It lives in dedication.

Most of all, it lives in the connection between one person who has something to say and another person willing to listen.

Technology will continue to evolve. New tools will appear. The methods we use to create and distribute music will undoubtedly change. But as long as human beings continue to share their experiences through sound, the soul of music will remain exactly where it has always been.

Within us.

I hope these essays here on The AV Signal are encouraging you to reflect on your own musical journey and to continue supporting the artists who have become part of it. The arrival of AI does not mean the end of human-created music. It simply reminds us that the future of music will depend not only on the artists who create it, but also on the listeners who choose to champion their work. By supporting the musicians we believe in, we help ensure that the human spirit at the heart of music continues to thrive.

See you next week.

Michael Foster, editor
Ambient Visions