August 2, 2026
themeasuredend@gmail.com | LinkedIn
TUCSON, Ariz. — Daniel Stoker, a self-taught guitarist, pianist, vocalist, and songwriter, finds himself on a razor-thin line between the major music studios and those using AI to generate music and lyrics from scratch. He neither belongs to the studio ecosystem nor uses AI to write his music; he uses AI solely to cover his own original songs, the melodies and lyrics he has written over decades – songs he can no longer sing himself, after a 2019 respiratory infection left the tissue in his throat and ears permanently scarred and took his singing voice with it.
Which leaves him with a question. “How can I stand out in a space that is so polarized and be heard when I don’t truly belong on either side?” Stoker says he has an answer.
For most of his life, his music lived where almost no one could find it: notebooks, an old four-track, voice memos scattered across a decade of smartphones, partial digital sessions, rough demos, private videos of live band performances.
After more than 30 years of writing, that private catalog is finally surfacing. Stoker is drawing on a body of work that runs to thousands of melodies, verses, hooks, chord progressions, and finished compositions – and he is using AI to help bring it into the open.
Stoker in 2025
The songs move across pop, rock, alternative, indie, grunge, a cappella, and orchestral territory. Some ask for a soft, close vocal. Others want rasp, or a shout, or a chorus that climbs. Every one of them once sat inside his own range. Since 2019, almost none of them do.
“I can still sing and compose melodies at the piano or on the guitar, but my voice is a shadow of what it once was. I kept telling myself my throat and ears would recover. More than seven years later, I’m still popping my ears every few minutes to drain them. It’s a nightmare I’ll never waken from.”
With releases like “The Lateness of the Hour“ and “Sound of Terror,” Stoker now uses AI-assisted production tools to turn written songs into finished demos – a way to let other people hear what he has been hearing for years but is unable to perform himself anymore.
The hope is that the albums present the songwriting clearly enough that artists, producers, publishers, and music companies can hear the potential and picture where a song might go from there.
“I have the original recordings of these songs preserved with timestamps across my phones and laptops, and the chain of authorship is documented in my Suno account, every workspace shows my original song uploaded first, and only then do I request a cover version. From a copyright standpoint, I hold the intellectual property in these melodies and lyrics. I could take the same songs to any other AI studio and have them covered there, the melody and lyrics wouldn’t change. It would simply sound like a different performer interpreting the same song in a slightly different style or tone, exactly as covers have always worked.”
That distinction is the whole point for him. Most of the AI music conversation, as he sees it, is about generating songs, lyrics, and melodies from prompts, and that has never interested him. The songs are his. The lyrics are his. The melodies and chord progressions are his. AI is a production and demoing tool, nothing more: a way to get long-written songs heard.
And in his case, it is now the only vocalist readily available to him. Stoker spent years without the time, money, or resources to record his own music, and by the time a decade of saving had finally bought him the equipment, his respiratory system had failed. Only a handful of recordings capture his voice as it once was.
“I immediately began looking for singers to record my songs. That has proven to be more time-intensive than recording and the results have been unsatisfying.”
While AI gives Stoker his first manageable path forward it is also, he believes, a challenge to the old studio model.
For decades, a songwriter working alone needed a studio, an engineer, a vocalist, money, time, and usually a lucky connection just to present a song in a form the industry would take seriously. AI-assisted production gives independent writers a workable path to studio-quality demos on their own, not as a replacement for artists or studios, but as a way to put original songs in front of the people who can perform, record, license, produce, or develop them.
For Stoker, it also amounts to a second chance at an opportunity he lost early, and a workaround for something he lost much later.
A lost chance with a major music studio in his youth
Stoker’s path was never about chasing a spotlight. He played in bands, performed live, experimented with recording. Over time he understood that the part he genuinely loved was the writing.
“The only thing that I really found joy in was writing the music,” he says.
The dream was not to front a band. It was to write songs other artists could bring to life.
“My last gig was over 20 years ago, a three-hour set of original songs at a bar next to the University of Arizona,” he says. “I was exhausted, I’d rather been home, writing music.”
That focus sharpened after something that happened in his early 20s. One of his songs had placed in the top 10 out of tens of thousands on GarageBand.com, a newly launched platform backed by George Martin. Stoker says he was invited to a major studio and drove to California expecting a meeting that could redirect his songwriting life.
When he arrived, the meeting never happened.
No sit-down. No conversation. No chance to play anything.
He left disillusioned. If the gatekeepers would not open the door, he decided, he would keep writing anyway, for himself.
“I literally stood outside the gate. Calls weren’t returned. So I thought, okay, I’ll go home and music is just for myself,” he says. “But I still have the congratulatory email from George Martin for getting in the top 10. That is a treasure.”
The year his voice changed
And then the second loss came, and it moved from emotional to physical.
In 2019, Stoker developed a severe respiratory infection that resisted round after round of treatment. By the time it finally cleared, it had done lasting damage to the tissue in his ears and throat.
The effects did not fade. Scar tissue in his ears left his hearing impaired; he has to constantly pop his ears to manage the pressure. The damage to his throat compromised his singing voice.
He can still sing. He can still write. But the instrument is not what it was.
“My voice is a shadow of what it once was,” he says, a comparison he makes against years of performing in bands and singing in competition choirs, when range, stamina, and control were simply available to him.
The practical consequence is stark. Stoker has not recorded a vocal on one of his own songs since. Seven years of writing hooks, choruses, full arrangements, accumulated with no way for him to surface any of it but in a rugged and strained voice.
For a songwriter whose catalog spans soft intimate vocals, rasp, shouts, and soaring choruses, that mattered in a specific way. The demo has always been the bridge between a song in a notebook and a song someone else can evaluate. For most of his life, his own voice was that bridge. After 2019, it could no longer carry the weight of what he had written, and for a long stretch there was no bridge at all.
It is the central reason AI-assisted production landed for him the way it did. The songs did not change in 2019. His ability to demonstrate them did.
“If I had access to a professional recording studio and a vocalist, I could get the same result,” he says. “The AI is technically not necessary. It’s just very helpful.”
That framing runs through everything he says about the tools. He is not asking a machine to write. He is asking it to sing something already written by a person who can no longer sing it the way he used to.
But now his music, he says, has finally reached the level of production he always envisioned, and can be heard by anyone.
“The AI hears my melodies, the nuances of my chord structures and progressions, it carries it through with exact precision, but the waters of AI in music are still treacherous and uncharted, and they have to be navigated with care.”
AI as a demo studio but not a songwriter
AI-generated music keeps rising, and distributors like DistroKid and services like Spotify are working to flag it so listeners know what they are getting.
Stoker sees both the problem and the fix.
The problem: AI labeling does not distinguish between songs written by AI and songs merely performed by AI. The difference is enormous.
Under U.S. copyright law, an original song is automatically protected the moment it is written and recorded – fixed in a tangible medium, whether that is a voice memo, a digital file, or sheet music. Recording it and keeping proof creates a legally recognized copyright on its own.
While the legal and music industries are deep in the weeds on AI music creation, a songwriter uploading their own song to an AI service for a performance cover does not weaken their intellectual property. If anything, the documented upload strengthens the record.
“I understand there is some backlash for using AI in songs, and for some people, using AI in general,” Stoker says. “As a person who writes songs, stories, and has theoretical physics models, the introduction of mainstream LLMs felt like an attack on my creativity, my innovation, my entire existence. But I see a clear line between the spiritual and legal ramifications of using AI for songwriting vs using it for music production. The problem is that the line is not being drawn by music distributors and service providers.”
The fix: any music released to consumers should disclose whether AI was involved in the songwriting – music or lyrics – and separately disclose whether AI was involved in the performance and production, from instrument and vocal performance to effects and mastering. And that latter category would need to apply to all artists, including those managed by the large music labels where use of AI in performance and production is currently extensive and continues to grow.
The distinction matters, Stoker argues, because one of those acts is protected under U.S. copyright law and the other is not.
He also notes that he loves hearing new compositions from people, not machines, but has no objection to hearing a human song performed by AI. “I love hearing a new melody that someone has written. I like to think about the choices they made, the emotions that are being carried through when that melody was born from their soul. I’m not bothered by an AI performing it.”
Under the labeling scheme he is proposing, his own catalog would carry an unambiguous mark: written entirely by a human, performed by AI, the second half a matter of physical necessity rather than preference.
“All new technology comes with the question, ‘Will this hurt me more or help me more?’ and often that answer depends on you, your ability to adapt with the technology and use it to boost your goals in life,” he says. “I’ve chosen to use AI to help me achieve my artistic goals without compromising my artistic work and close the gap on the damage to my vocal cords.”
A challenge to the major music studios
For Stoker, AI-assisted demoing is not just personal convenience. It changes who gets to enter the conversation at all.
The traditional industry has always run on filters: studios, labels, producers, managers, publishers, engineers, and access to professional recording space. Those filters can sharpen great music. They can also keep songs from ever being heard, especially when the writer is not a performer, does not live in a music city, or cannot fund studio-quality demos. Or, as in Stoker’s case, when the writer’s own voice has been altered by something outside his control.
He sees AI shifting that first step. A songwriter no longer has to sink enormous time and money into semi-polished versions of a handful of songs, hoping a gatekeeper listens for a few seconds. With AI-assisted production, a lone writer can present a song in fuller form, with enough polish, structure, vocal character, and sonic clarity that it can be judged on the writing.
That does not make major studios irrelevant. The more interesting possibility, to Stoker, is that the relationship changes. Studios, producers, publishers, sync companies, labels, and artists could start receiving better-developed material from independent writers who were previously invisible. Rather than replacing the industry, AI could widen the doorway into it.
The challenge is aimed at the gatekeeping, not at the value of collaboration.
In his view, the old system usually required a songwriter to be discovered before the songs could be properly heard. AI-assisted demoing inverts part of that. The songs get heard first, in something close to the form the writer intended, which then gives artists and companies a concrete reason to engage.
That matters especially for someone who never wanted to be the final performer, and, since 2019, could not be even if he wanted to. His goal is not to bypass singers, bands, producers, labels, or music companies. It is to reach them with demos strong enough to start a real conversation.
He also sees an irony in the criticism.
“I also understand that professional recording studios are also using AI to help hear songs and flesh out effects, styles, variations, as well as using AI in the mixing and final production,” he says. “So that’s the irony of it. If I was invited back to a major studio, I would probably be passing my songs to an engineer doing the same thing I’m doing with the AI.”
That irony points at the larger issue. If major studios already use AI to refine, test, and produce music, independent songwriters should be able to use comparable tools to prepare their work for the industry. The real difference is access. What once required a studio appointment can now begin at a kitchen table.
Which makes AI, in his view, less a threat to music than a potential equalizer, provided it amplifies human songwriting instead of replacing it.
That is the shift he cares about. Independent songwriters no longer need a perfect studio situation, a label connection, or a lucky break just to let the work be heard. They can build demos strong enough to approach artists, producers, publishers, labels, and companies with something more substantial than a promise.
In Tucson, where he has spent decades writing largely out of view, the distance between song and listener finally feels crossable.
After a lifetime of melodies that stayed private, that may be the biggest change of all.
“Ultimately, I do agree that we shouldn’t be using AI to song-write, because at scale it can add a lot more volume to what’s already most typical, instead of amplifying the rarer, human-specific creative leaps,” Stoker says. “I believe it should be confined to a tool for assisting in producing, not writing. In other words, ‘We are the music-makers. We are the dreamers of dreams.'”
Four albums from a lifetime of songs
That shift has already produced four albums: “The Lateness of the Hour,” “Sound of Terror,” “In Theory,” and “Lasting Impressions.” Together they convert decades of private songwriting into a visible catalog, each album drawing from a different stretch of his life.
They also show the range and the longevity. “Lasting Impressions“ collects songs written in the 1990s, the earliest phase of his writing. “In Theory“ reflects the 2000s, when his band was performing around Tucson. “Sound of Terror“ gathers material from the 2010s, the decade that ended with the illness. “The Lateness of the Hour“ brings the catalog to the present, with songs from the 2020s, including some written in the last few months, every one of them written after he lost the ability to sing them.
Taken together, the albums read like a time capsule: a songwriter moving through decades, styles, and life stages while keeping the same habit of making music because he loves it and, as he puts it, because he “can’t not write music.”
Two more albums are in progress, including a collaboration with a friend serving as lyricist. “It’s great working with Mike, I can pass him songs that need lyrics or he can pass me lyrics that need a song. In some cases I can pull from existing melodies or I may find the inspiration to write something entirely new.”
For him, the releases are proof that the songs exist, that the catalog is real, and that this was never a short burst of creativity. It is a sustained body of work he now hopes can reach past his private life, and past the limits his own voice has acquired.
He calls it “a chance for my songs to now live on beyond me.”
Daniel Stoker can be contacted at themeasuredend@gmail.com | LinkedIn