Can You Make Money from AI Music? A Distributor's Answer

I covered this topic in depth on my YouTube channel. You can keep reading or watch the video.

I've been inside the music industry for 22 years, and my job is digital music distribution. That puts me right in the middle of the chain through which a song travels from the distributor to Spotify, Apple Music, YouTube Music and TikTok. In this post I'm not talking theory; I'm sharing the real developments I see on the distribution side.

Is it legal to make music with AI?

Creating it isn't banned. Today, making a song with an AI tool, releasing it and earning revenue from it is legally possible. The issue isn't creating it, it's what you create it with and how you disclose it.

Problems show up in three places: the model being trained on works without permission, someone else's voice being cloned without permission, and the content being misrepresented to the platforms. The moment you fall into any one of these, the issue stops being "I used AI" and becomes copyright infringement.

How is AI music actually made?

AI music tools don't draw inspiration from nothing. They're trained on huge amounts of existing music and recombine the patterns they've learned according to your prompt. So what comes out is technically a new recording, but the source it was fed on is other people's work.

This distinction matters, because this is where the real fight in the industry is. The dispute between the major labels and AI companies isn't "should AI music be banned." The real issue is: whose works were these models trained on, were licensing fees paid, and how will the resulting revenue be shared?

How do platforms detect AI music?

There was a time when people said "they'll never be able to tell." That time is over. AI-generated audio recordings have their own distinctive signal traces, and the detection systems that catch them have become commercial products. Not only platforms but also distributors and other industry organizations can use them.

So a recording can be flagged at any link in the chain: at the distributor, at delivery to the platform, or in a scan done months after release. The key point: detection doesn't end at release, it also works retroactively.

How do distributors view AI music?

Most distributors aren't completely closed to AI-assisted production. What they're closed to is undisclosed and mass production. Through DDEX, which sets the industry's metadata standard, disclosing the extent to which AI was used in a recording is becoming widespread. So "did I use AI" is now part of the credits.

These are the most common reasons for account closure I see on the distributor side:

• Bulk uploading hundreds of generated recordings in a short time
• Not disclosing AI use, or disclosing it incorrectly
• Using an existing artist's voice or name without permission
• Spam catalogs that work together with fake streaming traffic

When a distributor closes an account, it doesn't stop at one song. The entire catalog on that account is affected, and pending payments may be suspended. I explained what to look for when choosing a distributor in a separate post.

The removal of 75 million tracks

Spotify announced it had removed more than 75 million tracks over the past year as part of its fight against spam and low-quality content. That number alone shows the scale of the issue.

The issue here isn't "AI music is banned." It's that platforms no longer want to carry the mass production that's choking their catalogs. In a system where thousands of tracks are uploaded every day, every piece of content that stops listeners from finding real music is a cost for the platform. That's why cleanup policies are getting stricter and will keep getting stricter.

How does the production boom affect revenue?

This is the least discussed part, but the one that affects you most. Platforms don't pay a fixed rate per stream; they pool the revenue and distribute it. I explained how this works in detail in my post on making money from music.

The result of the pool model is this: the more the catalog swells, the thinner each stream's share becomes. In an environment where hundreds of tracks can be produced per hour with AI, the amount of content entering the system isn't growing in proportion to revenue. That's why platforms are both cleaning up and tightening their payout rules. In the long run, AI mass production erodes the share of real artists most of all.

Voice cloning: the riskiest area

This is the most dangerous topic in the AI debate. Cloning an existing artist's voice without permission to produce songs isn't just a violation of platform rules. It enters the territory of personality rights and neighboring rights. The consequences don't end with the content being taken down; it can create legal liability.

Those who enter this area under cover of "parody," "cover" or "fan work" take the same risk. Don't use anyone's voice, name or identity without permission. In this industry, it's the hardest mistake to come back from.

Who owns the copyright to AI music?

This is the most frequently asked question, and while the answer varies by country, the basic principle is shared: copyright protection is granted to human creativity. AI itself can't be a rights holder.

In practice, the picture looks like this:

• Content generated entirely by AI with no human contribution: Its protection is disputed and weak. If someone else uses the same thing, you may not have a strong right to rely on.
• Content created with human contribution: If you wrote the lyrics, built the melody, and did the arrangement and mix, that human contribution is protected.
• The terms of the tool you use: Some AI tools reserve usage rights over the content you create, or tie commercial use to a paid plan. You need to read this before releasing.

Are people really making money?

The honest answer: in the short term, yes, but it doesn't work the way most people think. Some people sell the story of "make a hundred songs with AI and build passive income." The reality I see from the distribution side: those catalogs either get caught by the spam filter, never reach the payout threshold, or get wiped out in bulk in a cleanup wave.

The sustainable model is different: the approach that uses AI as a tool to speed up production, but where a human puts in the essence of the song. I described this balance in my post AI in music production: tool or threat. Because in the end, revenue comes from the song that connects with listeners. A recording nobody listens to twice doesn't generate revenue, no matter how many you produce.

6 rules if you're making AI music

1. Disclose it. Tell your distributor accurately at which stage you used AI. Not disclosing is the item with the harshest consequences when you get caught.
2. Don't clone anyone's voice. Using someone's voice and identity without permission is the riskiest line in this business.
3. Don't go into mass production. Uploading hundreds of recordings in a short time puts you in the spam category, regardless of the content's quality.
4. Make the human contribution visible. Lyrics, melody, arrangement, vocals, mix. Both your legal footing and your connection with listeners come from here.
5. Read the terms of the tool you use. Do you hold the commercial usage rights, and what does the tool's provider reserve?
6. Enter the credits correctly. Wrong artist matching and incomplete credits are mistakes that cost you revenue, AI or not. I covered this in my post on digital music distribution.

What's ahead

To me, the direction the industry is heading is clear. AI music won't be banned; it will be labeled and separated. There are three developments I expect:

• Mandatory disclosure. Stating AI use in the credits will become standard.
• Separate treatment. Evaluating fully AI-generated recordings separately in recommendations, playlists and revenue sharing is on the agenda.
• Licensing deals. Licensed models will be set up between AI companies and rights holders. In other words, the era of unauthorized training is closing and the paid era is beginning.

In this picture, the one at risk isn't the artist who uses the tool properly. It's the account inflating its catalog with undisclosed mass production.

My final warning

Use AI, but don't hand your catalog over to it. When an AI catalog you threw together quickly today gets wiped in a cleanup wave tomorrow, all that's left is a closed account. On the other hand, a recording that's properly disclosed, has human contribution and was released with accurate credits keeps generating revenue for years.

Two things are decisive here. The first is working with an established distributor, because they handle disclosure standards, platform rules and act as your point of contact when a problem arises. The second is a consultant who devotes time to your project, because deciding which recording to release and which is risky is a call made one by one.

I handle all of this end to end. Distribution runs on the Digitalent Music infrastructure, international channels and payments through Digitalent Inc. (Digital Marketing Manager, USA, Florida), and on-the-ground and campaign work in Türkiye with Gizli Medya. Digitalent Inc. (Digital Marketing Manager) and Digitalent Music operate in partnership with Universal Music Group. So your recording goes out through an established distribution pipeline, but the process is managed by someone who knows your project.

If you use AI in your production and want to release it the right way, tell me briefly about your project; let's work out together how each recording should be disclosed.

Frequently asked questions

Is it legal to make music with AI?

Creating it is legal. Problems arise when the model was trained on works without permission, someone else's voice is cloned, or AI use isn't disclosed to the platforms.

Can an AI song be uploaded to Spotify?

Yes. Spotify doesn't ban AI-generated music outright. What it bans is spam, mass production, fake traffic and unauthorized voice cloning. Releases still go through a distributor.

Who owns the copyright to AI music?

AI itself can't be a rights holder. Copyright protection is granted to human contribution. Protection for content generated entirely by AI with no human contribution is disputed and weak.

Do I have to disclose AI use during distribution?

The industry is moving quickly in that direction. Disclosing AI use through the DDEX metadata standard is becoming widespread, and distributors are asking for it. Incorrect disclosure is grounds for account closure.

Can my account be closed because of AI?

Yes. Undisclosed mass production, fake traffic and unauthorized voice use are grounds for account closure on the distributor side. In that case, it's not just one song but the entire catalog on that account that's affected.

Could AI music be removed from platforms in the future?

Yes. Detection systems can scan retroactively, and platforms keep cleaning up spam. Being live today doesn't mean it will stay up.

How is AI music different from royalty-free music?

Royalty-free music is licensed content where the rights holder permits certain uses. With a song made with AI, who owns the rights and their scope are often unclear. They're not the same thing.

In short

Making money from music with AI is possible, but it's no longer a lawless space. Detection technology has matured, mandatory disclosure is coming, platforms are cleaning up and distributors are closing risky accounts. The artist who uses the tool properly and puts the essence of the song in themselves will come out of this period stronger. The one who hands their catalog entirely to the machine will be the first to lose.

If you'd like me to review your catalog from this angle, tell me briefly about your project; let's go over the pre-release risks together.