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AI music tools and music distribution

A no-nonsense guide to understanding AI tools in music production and how they affect music releasing and distribution.

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Changing music culture

AI music tools are more common than ever, offering artists countless ways to streamline their workflows, get inspired, and experiment. They’re also changing the relationships between artists, platforms, and listeners. If AI tools are a part of your approach to music production, it’s essential to keep this in mind.

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So, how does AI affect music distribution and your ability to self-release your music?

AI and human creativity

While AI music production tools can empower human creativity, they can also have a negative impact on the experience of music if used in the wrong ways.

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The most common example of this is the creation of bulk quantities of fully AI-generated tracks for stream farming on platforms like Spotify and Apple Music.

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Because of this and other cases, platforms are adopting policies so that human creativity and original music are not overshadowed or displaced by AI-generated music.

Where’s the line?

There are many types of AI music production tools out there, and different producers will use them in all kinds of different ways. So, how do you know whether or not your music that uses AI tools will satisfy platform policies?

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A lot of this has to do with what kind of tool you use and how you use it. Let’s take a closer look.

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LANDR’s stance on AI and music distribution

At LANDR, we believe innovation should serve artists, not replace them. AI tools can be powerful sources of inspiration and creative support, and we’re proud to be part of this progress as a leader in AI-assisted music production. But as fully AI-generated music becomes more common, we believe it’s important to help preserve the value of human creativity in the music ecosystem.

That’s why we support the reasonable and responsible use of AI in music, but we also reserve the right not to distribute, or even to ban, any music or artist that relies entirely on AI audio generation to create. We recognize that every artist uses technology differently, so we apply this policy with care and on a case-by-case basis where necessary. As always, we stand behind human originality and creativity and we value all the hard work you put into your music.

You can learn more about our policy here.

The many types of AI music tools

AI audio generators

AI audio generators create fully produced audio tracks and stems using generative AI models. These tools can produce vocals, instruments, soundscapes, and even complete songs from a text prompt or musical input. They're ideal for quickly prototyping ideas, generating sound elements, or inspiring new compositions.

AI MIDI generators

AI MIDI tools generate musical patterns, chord progressions, and melodies in the form of MIDI data. These are often used in digital audio workstations (DAWs) for further editing, arranging, or layering. Some also offer real-time generation or adaptive sequencing based on user input or mood.

AI stem splitters

AI stem separation tools isolate individual elements (like vocals, drums, bass, or other instruments) from a mixed audio file. These are particularly useful for remixes, mashups, and live practicing, allowing producers to manipulate or analyze specific parts of a song.

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Other generative AI tools

Beyond audio and MIDI, other AI music tools offer advanced functionality such as mastering, lyric generation, intelligent audio effects, sample recommendation, and preset generators. These tools complement traditional workflows and can significantly accelerate the creative process.

Best practices when using AI for your music

1. Keep track of the tools you use and how you use them

You don’t need to document every detail, but it can be helpful to note which AI tools are involved in your projects and how they’re used, such as for generating lyrics, producing stems, or mastering.

Even a brief note in your project folder can provide clarity in case questions come up later on. This can also be great for helping you better understand your own creative workflow.

2. Be aware of copyright and ownership

AI tools that isolate stems or mimic artist voices can raise legal and ethical questions, especially when working with copyrighted material or recognizable vocal styles.

Before trying to release tracks that use AI-separated audio from copyrighted music or that feature soundalike elements, make sure you have the rights to do so. Going forward without proper clearance could lead to takedowns or disputes.

3. Know the policies of distributors and music platforms

Some distributors and DSPs (like Spotify or Apple Music) may implement rules around AI, especially regarding bulk quantities of AI-generated songs, music quality or originality, and cloned artists.

Check whether your distributor allows AI-assisted music and if they require any disclosure. Platforms might also remove content that violates their originality or impersonation policies.

4. Don’t forget policies on AI image generators

If your artwork was created using AI tools like Midjourney or DALL·E, check both the platform’s license and your distributor’s artwork guidelines.

Some platforms prohibit AI-generated art without proper labeling, while others ban it altogether. Use only licensed sources or combine AI with manual edits to stay compliant.

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5. Balance your use of AI with your originality and creativity

AI can be a powerful collaborator, but it shouldn’t fully replace your unique voice and style. Use it to enhance your music, not to automate it entirely.

Fans and platforms alike respond to originality. Keeping a human touch helps your work stand out and shows that you’re not a prompt engineer but a dedicated and inspired musician.

6. Stay informed as everything evolves

AI policies in music are still in flux, and new regulations, court cases, and guidelines are appearing all the time. What’s allowed today may not be tomorrow.

Follow updates from music rights organizations, AI platforms, and your distributor. Staying informed helps you adapt quickly and keep your releases risk-free.

FAQ: AI tools and music distribution

Can I release music that was made using AI tools?

Most likely, you do not have to credit the use of specific AI music tools in the metadata or promotion and presentation of your music, although we recommend checking with the developers if you are unsure about a particular case. Meanwhile, you may have to disclose how AI was used in your music if the support team of your distributor needs to confirm that your music is of sufficient originality and quality for release.

Do I need to credit AI tools in my music release?

The "loudness penalty" isn't really a penalty. It's simply an automated adjustment to loudness levels that is necessary to keep audio volume consistent across a platform. If your music is significantly louder or quieter than the platform's target loudness level, it may have a different loudness level on the platform compared to how you heard it when exporting and mastering. However, the difference isn't always significant, and it's not a factor that should override your creative or technical decisions when creating, mixing, and mastering your music.

Is it legal to use AI to clone another artist’s voice?

Impersonating another artist without the appropriate legal permission is against the policies of most if not all music platforms. In this case, “impersonation” means releasing music that sounds like the music of that artist while explicitly posing as that artist on music platforms through misuse of metadata and crediting.

Can I distribute AI-generated cover art on streaming platforms?

This will depend on the policies of your distributor and the platforms that you want your music to appear on. Many platforms, like LANDR, simply require that you have the legal right to use your album artwork for commercial purposes. As always we recommend reading up on the terms of service of your distributor and the platforms you want your music to appear on.

What are the risks of using AI stem splitters on copyrighted songs?

The same rules apply to using AI stem splitters as when you’re using any other form of sampling. If you do not own the rights to the recording that you’re extracting stems from, and you release music made with those stems, you could face major repercussions. This would violate copyright law and most likely the terms of service of your distributor and/or the platforms your music appears on.