AI Could Make Musicianship More Valuable

A guitarist under warm amber light sends a gold waveform across a blue field of repeated digital music tracks.

As generated music becomes abundant, the people who can actually write, play, sing, and perform may be able to charge a premium. Streaming-first artists can build a different premium around visible authorship and craft.

I only recently started thinking seriously about what AI music might give back to musicians. As generated recordings become abundant, AI could make musicianship easier to recognize as something scarce. The skill inside the person may become more valuable precisely because the finished audio is easier to produce.

That distinction matters because the supply of recorded music is becoming nearly unlimited. In July 2026, Deezer reported that fully AI-generated tracks had exceeded half of its new daily uploads at their peak. That amounted to approximately 90,000 generated tracks arriving on one streaming service every day. Despite that volume, fully AI-generated music accounted for only 1 to 3 percent of listening on Deezer. The platform excludes detected AI music from editorial playlists and algorithmic recommendations, so the figures describe attention inside that filtered system. Even there, the expansion in supply is far larger than the share of listening it attracts.

AI can produce an enormous supply of recordings. Listener attention still moves at a human pace, and the skills behind a human performance still take years to develop. Recorded output, listener attention, and musicianship now grow at very different rates. I think that may become one of the most important differences in music.

The recording is becoming abundant

For most of the recording era, a professionally finished song indicated that substantial work had happened somewhere. Someone wrote it, sang it, played the instruments, arranged it, recorded it, mixed it, or mastered it. Technology could hide weaknesses and repair mistakes, but the recording usually pointed back toward some form of human musical activity.

A finished recording can now come from a very different process. The vocal, guitar, piano, drums, arrangement, production, and mix may all be generated. The result may still sound convincing, which means polished audio now reveals far less about the human skill behind it.

A Deezer and Ipsos study asked 9,000 people across eight countries to identify fully AI-generated music in a short blind listening test. Ninety-seven percent failed to identify all three tracks correctly. At the same time, 80 percent said fully AI-generated music should be clearly labeled, and 73 percent of streaming users wanted to know when a platform was recommending it. The process may be difficult to hear, but many listeners clearly care about knowing the origin.

That tells me people care about who is behind the song. They want to know who made it, what that person contributed, and what it took to develop the ability behind it. The musician gives the recording a human history, and that history may become part of its value.

When a guitarist plays the part in front of you, the years behind it are right there in the room. You hear it in a singer delivering the vocal and in a band listening to one another, changing direction, recovering from a mistake, and making a song slightly different tonight than it was last night. Those moments make musicianship visible in real time.

The human contribution is the real question

Technology has been part of the recording studio for a very long time. Auto-Tune was released in 1997, and machine-learning-based mastering assistance was commercially available in iZotope’s Ozone by 2017. Musicians and engineers have also used automated mixing tools, pitch correction, programmed instruments, editing, sampling, amp simulation, quantization, and countless effects. Some of those tools were controversial when they appeared, and many eventually became normal parts of making a record.

Each tool leaves the human contribution at a different point in the process. Pitch correction begins with a person singing something, and automatic mastering begins with an existing recording. An amp simulator changes the equipment while the guitarist still supplies the performance. A mixing assistant can recommend a starting point while the musician remains responsible for what the song is trying to do.

Generative AI can move much further upstream by providing the lyrics, melody, instruments, vocal, arrangement, production, mix, and finished recording. The technology can now supply much of what we previously understood as the musician’s contribution, which makes the remaining human decisions more important to identify.

There are many situations between those two ends. A songwriter may use AI to create an instrument beyond their physical ability. A musician may generate a background element and perform everything else. Someone with human-written lyrics and a complete concept may use AI as the only practical way to hear the song fully realized. Each example contains a different amount and kind of human authorship, so the human contribution deserves to be judged on its own terms. The useful question is simple: What did the human create, decide, perform, and mean?

Where human musicianship may carry a premium

This is where I see real hope for musicians who can perform. Twenty years of playing lives in the hands on Saturday night. Breath control lives in the singer’s body. The relationship between a drummer and bassist grows through years of learning how to play together. Reading a room, changing a set, extending a song because people are responding, and finding a way through something that went wrong all come from experience.

AI may imitate the sound of those abilities. A musician carries the real abilities into the room, and that scarcity could carry a premium.

Live music is scarce by nature because it happens at a particular time, in a particular place, with a limited number of people able to experience it. AI may make that scarcity more valuable. Live Nation reported that nearly 49 million people attended its concerts during the second quarter of 2026. More than 143 million tickets had been sold through mid-July, which was more than 14 million ahead of the previous year’s pace. Those company figures represent the largest end of the live business. Independent music has its own economics, but the figures still show that people are paying to be in the room where music is happening.

I think accomplished performers may eventually be able to charge more because their time and presence are naturally limited. That value can reach far beyond stadium performers. Small concerts, house shows, private events, limited-capacity performances, workshops, ticketed livestreams, and live recording sessions all make the musician’s actual presence part of what people are purchasing.

For years, musicians were often told that the live show promoted the recording. That relationship may begin to reverse, with the recording becoming the introduction and the musician becoming the scarce product. A show competes through presence instead of volume. It happened in a real place, these people were there, and they actually did it. That distinction may become one of the clearest forms of value in music.

How musicians can keep the premium

The next question is how much of that value reaches the people performing. The Music Venue Trust reported that 53.8 percent of UK grassroots music venues made no profit during 2025. Across the sector, the average profit margin was only 2.5 percent. Growth at the top of the live industry can exist beside continued struggle for the venues and musicians developing independent music.

Artists may need to become more deliberate about how that value reaches them. Pricing the performance as the main experience gives the musician’s most difficult ability a value of its own. Promotion can support that experience while the performance remains something worth paying for.

Direct ticket relationships, private bookings, limited events, memberships, live recordings, workshops, and recurring local performances may become more important. The closer the musician remains to the audience and the transaction, the more likely they are to retain some of the premium their ability creates. The larger opportunity is the growing distinction around demonstrable human ability. Musicians can present, price, and protect that distinction.

A different premium for streaming-first artists

Many legitimate musicians create primarily through recorded music. They write at home, play several instruments one part at a time, collaborate remotely, or build detailed arrangements in a bedroom or small studio. Some occasionally perform, while others build their musical lives away from a conventional stage because of anxiety, disability, health limitations, family responsibilities, financial restrictions, personal preference, or the difficulty of reproducing a multitrack studio arrangement.

These artists can be excellent musicians even when performance is outside their nature or circumstances. I think of them as streaming-first artists because the recording is the main form through which their work exists.

A streaming-first artist may have written every lyric, played every instrument, recorded every vocal, and spent months constructing one song. To someone scrolling through a streaming platform, that history may remain invisible beside a track generated in a few minutes. Recorded quality alone reveals less of the human work, so the artist needs another way to make authorship visible.

The musician’s work keeps its value. The opportunity is to give listeners a clearer path toward the person and process behind it.

Showing the work beyond touring

Streaming-first musicians have many ways to make their craft visible from home or the studio. A guitarist can show themselves playing the part, a singer can perform a stripped-down version, and a multi-instrumentalist can show how separate pieces became the finished arrangement. A songwriter can share an early voice memo and explain where the song went from there.

Artists can also share demos, alternate takes, rehearsal clips, handwritten lyrics, recording decisions, short sessions, or the story behind why a song exists. They can choose a few parts of the process that feel meaningful and keep the rest private. The purpose is connection: make the human contribution visible enough for listeners to understand what went into the song.

A performing artist can show that they can do this here, now, in front of you. A streaming-first artist can show what they made, how they made it, and why it exists. I think of that as an authorship-and-craft premium. It can support direct purchases, limited releases, memberships, commissions, production work, lessons, physical editions, private online sessions, and other forms of support built around the recorded artist’s strengths.

The audience can be small. Spotify’s own artist data says that its category of highly engaged “super listeners” accounts for an average of only 2 percent of an artist’s monthly listeners, yet those listeners generate more than 18 percent of monthly streams and half of ticket sales made through Spotify. Those are platform-specific figures, but they support a point independent artists should probably take seriously: a small number of people who care deeply may be worth more than a large number who barely notice the artist’s name.

For streaming-first artists, those people may offer support through direct purchases, memberships, limited releases, commissions, or other meaningful choices. The artist has to give them somewhere to go after they hear the song.

What earns the premium

Human authorship is the beginning of this premium. The music still earns attention through the quality of the song, the performance, and the connection it creates. Listeners will make those judgments across music made entirely by people, AI-assisted work, and perhaps fully generated music they genuinely enjoy. Human difficulty has value when it produces something worth hearing or seeing.

AI can also bring forms of musical expression within reach for more people, and that can carry genuine personal and creative value. Recognizing that range of use leaves room to judge each work by the human ideas, choices, and performances it contains.

The strongest case for a premium combines human ability with work that matters to somebody. Skill, judgment, personality, history, presence, a reason for the song to exist, and a relationship with the people listening may all become more important as technically polished audio becomes easier to produce.

The musician is still scarce

I now think AI music may separate the value of the recording from the value of the person who can create and perform it. Recordings are becoming abundant while musicianship remains scarce.

For performers, I think there is real reason for hope. What you spent years learning may become easier for other people to recognize as rare, and the ability to enter a room and actually do it may become worth more.

For streaming-first musicians, the opportunity is different. The recording can lead listeners toward the person, process, and craft behind it. Showing enough of that story helps people understand what you contributed and why the work carries your name.

That is also something I want Indie Music Bus to pay more attention to. The finished song still matters, but so do the musician behind it, the live clip, the rehearsal, the Song Story, the decisions, the individual parts, and the years that made the recording possible.

AI makes another track easy to generate. Practice, experience, hearing, and judgment still live inside the musician. The file may become abundant. The musician is still scarce.

Do you think musicians who demonstrate their craft or perform their music will eventually be able to charge a premium? What could a streaming-first artist share to make the human work behind a song visible while still protecting time for the music itself?