87% of Musicians Are Already Using AI, But Only 46% Trust It for Creation: Insights from LANDR's Study

LANDR has just published one of the most comprehensive studies to date on how musicians use artificial intelligence. They surveyed 1,241 music creators worldwide—ranging from beginners to full-time professionals—about their perception, actual usage, and future expectations of AI.

The results are eye-opening. Not just for what they reveal about the technology, but for what they say about musicians themselves.

We have read the entire report and want to share the key data, what it means for independent musicians, and Zoundroom's take on each finding. Because these figures are not just numbers—they represent a snapshot of where music creation is heading.

Key Insights from the Study

AI Is Already Mainstream Among Musicians

The most striking data point is that 87% of respondents use AI tools at some point in their music workflow. It is not a niche. It is not a future concept. It is here now, and most have embraced it.

However, the nuance is important. Adoption is not uniform:

• 79% use it for technical tasks (mastering, timing correction, stem separation)

• 66% use it for creative tasks (composition, ideation, generating parts)

• 52% use it for promotion (content ideas, bios, marketing strategy)

Adoption is highest where AI automates technical processes and lowest in the creative phase. This is no coincidence.

Musicians Trust AI for Technical Work, Not for Creative Creation

When asked how they feel about using AI in different areas, the results are clear:

• 77% view AI positively for technical tasks

• 70% for promotion and marketing

• 46% for creative tasks

Less than half of musicians feel comfortable with using AI to compose, brainstorm, or generate parts. There is an emotional and philosophical barrier that technology has not crossed. It makes sense: musicians see creation as deeply personal. Handing that over to a machine feels very different from outsourcing mastering.

What Worries Musicians Most About AI

The concerns are clear and highly telling:

• 46% — Generic, soulless, low-quality music

• 43% — Ethics (use of artists' work without consent)

• 34% — Technological dependency ("brainrot")

• 30% — Release rules and platform takedowns

• 29% — AI replacing humans

The number one concern is not losing jobs. It is that music will lose its soul. Musicians fear that AI will generate a wave of mediocre content that dilutes the value of human-made music. The second concern—the ethics of training models on artists' music without permission—reflects a deep unease with how this technology is scaling.

But They Also See Clear Benefits

It is not all fear. Musicians recognize real advantages:

• 38% — Bridging skill gaps (doing things they couldn't do alone)

• 33% — Speeding up workflow

• 29% — Automating tedious tasks

• 28% — Getting inspiration

• 23% — Learning new techniques and genres

The top benefit is being able to do things that previously required skills they lacked. A songwriter who cannot mix can get a decent master with AI. A lyricist who struggles with harmony can explore chord progressions. AI acts as a great equalizer.

Song Generators Are a Minority (But Growing)

Only 29% of respondents use song generators like Suno or Udio. And when they do, most use them to generate individual parts (vocals, instruments, structures), not entire tracks. Only 13% use them to generate full songs.

The most interesting stat: 65% are using or open to using generators eventually. However, the interest lies in using generated elements as raw material, not as a finished product. Musicians want control over the final output.

The Gap Between Adopters and Traditionalists Is Widening

69% of musicians who already use AI report using more tools than last year. Among those, 90% plan to use even more next year. Adoption is accelerating rapidly among current users.

Conversely, the 31% who have not increased their usage see things differently: only 1 in 4 plans to adopt more AI in the future. A clear division is forming between two ways of making music. LANDR labels this "adopters vs. traditionalists."

What This Means for Independent Musicians

The numbers tell a clear story: AI is a permanent fixture in the music workflow. It is not going away. But how you use it varies wildly, and that is where individual choices matter.

Technical AI Is No Longer Optional

AI mastering, stem separation, timing correction. These tools have become standard for independent musicians working in home studios. Working without them is like editing photos without Photoshop: you can do it, but you are making life unnecessarily hard.

Creative AI Is a Tool, Not a Shortcut

The 46% acceptance rate for creative tasks is the study's most revealing metric. Musicians want help with songwriting, but they do not want AI to write the songs for them. There is massive potential for tools that assist rather than replace: suggesting without deciding, proposing without imposing.

The Fear of Generic Music Is Valid

Musicians' top concern (46%) is not abstract. It is real. With over 100,000 songs uploaded daily to streaming platforms, an influx of AI-generated tracks without human input will increase clutter and lower the value of original music. Musicians creating with intention and a unique voice will need to stand out more than ever.

The Adopter/Traditionalist Gap Is an Opportunity

With 90% of current users planning to use more AI, the adoption curve is accelerating. Musicians who learn to integrate AI smartly into their process (without relying on it entirely or losing their unique sound) will have a strong edge over those who stay on the sidelines.

Zoundroom's Take: The Data Confirms Our Mission

This study validates what we have believed at Zoundroom from day one: AI is just another tool in the songwriter's studio. Nothing more, nothing less.

LANDR's data prove exactly that. Musicians want AI for technical, repetitive tasks. They want help with inspiration and skill gaps. But they do not want a machine writing their songs. They want to keep creative control.

That is exactly how Zoundroom's AI assistant works. It doesn't generate songs or produce full tracks. It lives inside your project, offering suggestions when you need them: chord progressions, lyric ideas, structure proposals. You decide what stays, what changes, and what goes. The creative decisions are always yours.

The 46% acceptance rate for creative AI shows that over half of musicians still feel uneasy about AI in the creative process. We believe this is because most creative AI tools are designed to generate, not support. Musicians know the difference.

When AI is presented as "tell me what you want and I will build it," the creator feels sidelined. When it is presented as "here are three options, which one fits your vibe?" the creator feels empowered. That nuance changes everything.

Three Insights That Hit Home for Us

38% value AI for bridging skill gaps. That is exactly what happens when a songwriter uses Zoundroom to explore chords they would not have found on their own. AI does not replace musical knowledge; it complements it.

46% fear generic music. So do we. That is why the Zoundroom assistant does not generate music for you. It gives you tools to make your music sound like you, not an algorithm. The difference between an AI that makes content and an AI that enhances your creativity is the difference between noise and music.

34% fear technological dependency. This is a valid fear, and it is why the Zoundroom assistant is situational, not permanent. It is not designed to be used on every beat of every song. It is there for the moments you need a spark. Then it steps back, and you keep writing.

The Bottom Line

LANDR's study confirms that the music industry is at a turning point with AI. 87% of musicians are already using it, 69% are using more tools than last year, and the trend will only accelerate.

But the data also confirm that musicians refuse to give up their role as creators. They want tools that make them better, not tools that replace them. The AI that wins in the long run won't be the one that generates the most songs per minute. It will be the one that helps more musicians finish songs they are proud of.

At Zoundroom, we are building that future. A future where AI is simply another tool in your creative workspace—on the same level as your recorder, lyric pad, or metronome. A tool that amplifies what is already inside you. Nothing more, nothing less.

Source: "How Musicians Use AI: Perceptions, Preferences, and Appetite for the Future" — LANDR, November 2025. Based on a survey of 1,241 music creators from LANDR's global community.

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