Is it illegal to make a song with AI?

Why AI Music Feels Legally Risky (But Isn't a Crime)

If you've typed a prompt into Suno and hit "generate," you've probably wondered whether you just did something illegal. The headlines about lawsuits, demonetizations, and takedowns make it feel like a minefield. But the actual answer is more reassuring — and more nuanced — than most coverage suggests.

Here's the core finding: no law makes creating a song with AI illegal. The U.S. Copyright Office frames the debate around copyrightability and training use, not criminality, and legal analysis from Bloomberg Law confirms that making AI music is not per se illegal. The risks you face are civil copyright questions — who gets sued, who owns what, and who allows monetization — not criminal liability.

The lawsuits you've read about mostly don't target users like you. Sony, Universal, and Warner sued Suno and Udio over how their models were trained, seeking $150,000 per work — and the defendants are the AI companies, not individual creators. Meanwhile, the industry is shifting from litigation to licensing: UMG settled with Udio in October 2025, Warner settled with both Udio and Suno in November 2025, and Klay Vision signed licensing agreements with all three major labels.

That said, the fear is understandable, because AI music is now everywhere. More than 100,000 songs are uploaded to streaming services daily, over 60,000 of them made with AI. On Deezer, 44% of all new music was AI-generated. With that volume comes scrutiny — Spotify purged roughly 75 million spam tracks in a year — and platforms are tightening the rules around what qualifies for monetization.

The key to navigating this is realizing that three separate questions get lumped together in people's minds:

• Platform license — what your contract with the AI tool permits, such as Suno's free plan allowing only personal, non-commercial use.
• Copyright law — whether your song is protectable at all, given that purely AI-generated works aren't copyrightable in the US without human authorship.
• Platform policy — whether YouTube, Spotify, or distributors will actually host and monetize what you made, and what disclosures they require.

Conflating these three is what makes AI music feel legally dangerous when it isn't. A commercial license is contractual permission, not copyright protection — as one industry guide puts it, "commercial rights do not always mean copyright ownership." Courts, for their part, are drawing a line between training and output: attorneys analyzing 2025 rulings note judges are "increasingly receptive to fair use arguments for training on lawfully acquired data" and "uniformly intolerant of piracy," while plaintiffs face a high bar proving an output is substantially similar to a specific song.

So the honest framing is this: you're not breaking the law by making AI music. You're managing civil risk — and the next sections break down exactly where that risk lives and how to keep it low.

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Where the Real Legal Risks Actually Live

The headlines make AI music sound like a legal minefield, but the actual risk concentrates in three specific places — and none of them is the act of generating a song.

Risk 1: The lawsuits target AI companies, not you. The major labels' litigation against Suno and Udio is about how the models were trained, not how individuals use them. Sony, Universal, and Warner are seeking $150,000 per work in damages from the platforms themselves. Courts are drawing a line between training and output: in Bartz v. Anthropic, Judge Alsup held that training on lawfully purchased books was fair use while ruling against pirated data, and attorneys describe courts as "uniformly intolerant of piracy" in training data. If your tool survives this fight, your exposure as a user is minimal.

Risk 2: Output infringement — and voice cloning is the sharpest edge. Courts may treat AI differently when models "replicate distinctive human performance attributes rather than abstract expressive patterns," per Reuters legal analysis. Tennessee became the first state to protect performers from AI voice replication without consent in March 2024, and YouTube policy treats prompts built to copy a specific singer as impersonation — grounds for claims and takedowns.

Risk 3: You may not own what you generate. Purely AI-generated works get no US copyright. The Copyright Office's registration guidance requires human authorship, and Thaler v. Perlmutter affirmed refusal of registration for AI-generated work. This is why the distinction matters: commercial rights do not always mean copyright ownership.

• A platform license is contractual permission to use the output — not copyright protection under law.
• Suno "does not promise copyright in any output," even on paid plans.
• The unresolved question is how much human input counts as authorship versus mere technical support, so document your creative process.

The practical takeaway: avoid voice cloning, add real human authorship, and read your platform's license tier before commercializing anything. If you're building broader AI workflows around music or content production, agent skills can automate the surrounding steps — SkillzBench (skillzbench.com) is building a free directory that security-scans and benchmarks skills before they touch your stack, so risky ones never reach your pipeline.

How the Law Is Settling: Licensing Is Becoming the Legitimate Path

The music industry's copyright wars are ending not with courtroom victories, but with signed contracts. In October 2025, Universal Music Group settled its lawsuit against AI music generator Udio, followed by Warner Music Group settling with both Udio and Suno in November 2025 — deals that include licensing agreements and plans for a generative AI platform trained on fully licensed music, according to Reuters legal analysis.

The settlements signal a broader shift from litigation to licensing. Klay Vision has signed first-of-their-kind AI licensing agreements with all three major labels and their publishing arms, and attorneys Daniel Rozansky and Berlindyne B. Elie of Brown Rudnick write that "licensing agreements provide a more sustainable use case" than passive ingestion of copyrighted material. Sony, notably, has not settled, and its litigation against Suno continues — so the landscape is still forming rather than fully resolved.

Courts are drawing a clearer line between training and output. In Bartz v. Anthropic (June 2025), Judge Alsup held that training on lawfully purchased books was fair use, while ruling against the use of pirated data. Attorneys Edward Lanquist and Benjamin Janke of Baker Donelson summarize the pattern: courts are "increasingly receptive to fair use arguments for training on lawfully acquired data" and "uniformly intolerant of piracy." Plaintiffs also face a high bar proving AI outputs are substantially similar to specific copyrighted works.

For creators choosing platforms, this means the smartest move is favoring services with transparent training data and licensing arrangements. A few practical checkpoints:

• Verify the platform's commercial license tier — Suno's free plan is personal, non-commercial use only, while commercial rights require its Pro ($10/month) or Premier ($30/month) plans.
• Understand that a commercial license is contractual permission, not copyright ownership — the two remain legally distinct.
• Avoid voice cloning or sound-alikes of real artists, the sharpest legal edge in AI music today.
• Add substantial human creative input if you want any copyright protection, since purely machine-generated works aren't protectable in the US.

The licensed path is already producing commercial results. AI artist Xania Monet charted on Billboard and attracted a $3 million record deal, with her song "How Was I Supposed to Know?" becoming the first AI song to enter a Billboard radio airplay chart at #30 on Adult R&B Airplay. The AI act Breaking Rust topped Billboard's Country Digital Song Sales Chart with "Walk My Walk," per Bloomberg Law analysis of the trend.

The takeaway for anyone making music with AI: legality increasingly depends on which platform you build on, not whether you build at all. And for readers building broader AI workflows around music or content creation, agent skills can automate the rest of that pipeline — SkillzBench is building a free directory of verified, security-scanned and benchmarked agent skills, with a waitlist now open for early access.

Your Safe-to-Monetize Checklist: Five Steps Before You Publish

Publishing an AI-generated song isn't inherently illegal — but monetizing one without checking a few boxes can get your track demonetized, claimed, or pulled from platforms entirely. The good news: the riskiest mistakes are also the most preventable.

Step 1: Check your platform's license tier. On Suno, the free plan covers personal, non-commercial use only — commercial exploitation requires Pro ($10/month) or Premier ($30/month), per YouTube monetization guidance. And remember: a commercial license is contractual permission, not copyright ownership — industry guides stress that commercial rights and copyright are two different things.

Step 2: Skip voice clones and sound-alikes. This is the sharpest legal edge. Tennessee passed the first US state law protecting performers from AI voice replication in March 2024, and courts may treat replication of "distinctive human performance attributes" differently from abstract style, according to Reuters legal analysis. On YouTube, prompts engineered to mimic a specific singer invite claims and takedowns.

Step 3: Disclose AI content and avoid mass production. YouTube requires disclosure of AI-generated music and bars content that is "mass-produced, generic, repetitive, or manipulative" from monetization. With over 60,000 AI-made songs hitting streaming platforms daily and Spotify purging roughly 75 million spam tracks in a year, platforms are actively filtering low-effort output.

Step 4: Add documented human creative input if you want copyright. Purely AI-generated works are not copyrightable in the US — human authorship is required, as Bloomberg Law analysis and the U.S. Copyright Office both make clear. Write lyrics, arrange structures, remix stems — and keep records of what you did.

Step 5: Keep metadata and license records. If Content ID flags your track, documentation is your defense. Store your generation prompts, subscription receipts, and edit history.

Much of this workflow — license checks, metadata management, disclosure tracking — is exactly the kind of repetitive, rule-driven work AI agents handle well. SkillzBench is building free security-scanning and benchmarking for agent skills, so creators can equip agents with verified skills through its free MCP connector. Join the waitlist at skillzbench.com to get early access.