AI Music 2026: Why Suno Is Not the End of Music Production

Status: May 21, 2026

A few weeks ago I wrote a social-media post about Suno, AI music and music production. The post was a snapshot. By now the real shift has become clearer.

The simple story is: AI makes songs at the push of a button, so music production becomes worthless. I think that is wrong. Not because the tools are harmless, but because they create pressure in a different place than many people first assume.

Suno, Udio and similar systems make output cheap. They make sketches, demos, style variants and finished song-like objects extremely fast. But that does not automatically make music valuable. If everyone can generate endless material, generation itself becomes less scarce. Judgment, identity, rights clarity, cultural depth and access to an audience become scarce.

The Setup: Output Explodes, Attention Does Not

On April 20, 2026, Deezer reported that roughly 44 percent of newly delivered music is now detected as AI-generated. According to Deezer, that means almost 75,000 AI tracks per day. At the same time, Deezer says this music accounts for only a very small share of streams on the platform: between 1 and 3 percent. A large part of those streams is also detected as fraudulent and removed from the monetized pool.

From the Apple Music side, reports also point to labels delivering significant amounts of fully AI-generated music. The direction is the same: music supply chains are being flooded with synthetic material, while the actual scarcity does not disappear. It moves somewhere else.

That is the most important number in the whole debate. Not just that the upload share is high. The important point is that upload volume and demand are moving apart. There is more music, but not automatically more meaning.

The legal side is no longer theoretical either. In June 2024, the RIAA announced lawsuits against Suno and Udio, brought by rights holders including Sony Music, UMG and Warner. The claim: unlicensed use of copyrighted recordings for training and product operation. At the same time, since late 2025, we see the counter-movement: Warner Music Group and Suno announced a partnership that ends earlier disputes between the companies and points toward licensed models, opt-in and control over name, image, voice and compositions.

The market is not moving in one clean line. Conflict and legalization are happening at the same time. That is not a contradiction. It is what happens when a new infrastructure is sorting itself out.

The Wrong Fear: That Everyone Can Now Build Finished Hits

When you use Suno for the first time, the reflex is understandable: this thing delivers a song in seconds, with voice, arrangement, form, sound and lyrics. To people who have never produced, it can feel like a finished replacement for a studio.

But music production was never just the question of whether some audible result appears. Production is decision-making. What stays? What gets removed? Which energy is real? Which reference is just surface? When is an idea strong enough that you should stop polishing it to death with more options?

AI can generate variants. It can fill gaps. It can create surprisingly good raw forms. But it has no risk of its own, no career, no body, no scene, no audience, no shame, no biography, no reason why something has to be said exactly now and exactly this way.

That may sound philosophical, but it is a very practical point. In an overcrowded market, the question will not be: can you generate something? The question will be: why should anyone want to hear exactly this from you?

The Real Shift: The Middle Gets Cheaper

The first major impact of AI music will not automatically hit the best producers, songwriters or artists. It hits the interchangeable middle: generic library music, simple briefing music, placeholder demos, disposable content, style copies without a real signature, mood variants for social clips.

Where a paid service used to mean "good enough", AI becomes aggressive. Because "good enough" is exactly the area generative systems can scale most easily. If a client only says, "make me something like upbeat corporate pop," the machine suddenly becomes a hard competitor.

That does not mean craft becomes unimportant. It means craft alone is no longer enough when it has no recognizable position. If you only deliver what a prompt can deliver, you get pulled into a price debate. If you deliver context, taste, responsibility and a recognizable point of view, you are in a different market.

Five Factors That Remain Valuable

From my point of view, five factors remain decisive. Not as romantic resistance against technology, but as sober market logic.

1. Legitimacy

People want to know whether a work comes from a legitimate context. Was a voice used with consent? Are the rights cleared? Is the artist image real, or just synthetic packaging? That is why the lawsuits and license deals matter. They decide not only what happens to the past, but whether future music products can be trusted.

2. Identity

A voice is not just a sound color. An artist is not just an avatar. Identity is built from recognizable decisions over time. FKA twigs described before the US Senate why voice, movement, image and artistic personality belong together, and why AI is only interesting when it remains under the artist’s control.

3. Cultural Depth

Good music knows where it comes from. It understands which codes it uses, which history it touches and which references it had better leave alone. AI can statistically reproduce styles. But cultural responsibility does not emerge from probability. It comes from experience, belonging and judgment.

4. Production Intuition

Production is often the art of not taking everything that is possible. The best take is not always the cleanest one. The best sound is not always the most expensive. The best version is sometimes the one where you leave a mistake in because it creates tension. A tool can imitate that kind of intuition, but it cannot be responsible for it.

5. Distribution

The hardest part will not be generating music. The hardest part will be getting music through the fog. Platforms, playlists, fan relationships, live context, newsletters, community, rights, data, brand: distribution becomes more important, not less. When everyone can send, the winner is not automatically the one with the most files. It is the one people allow into their head.

What the Examples Show

The Beatles are a good counterexample to simple AI panic. "Now and Then" was finished with modern technology, but not as a generative voice replacement. The key was the separation and restoration of a real John Lennon demo. The song won the 2025 Grammy for Best Rock Performance. That shows: technology can lift cultural value when it reveals a real work instead of faking identity.

The Drake case shows the other side. "Taylor Made Freestyle" used AI-generated voices of Tupac Shakur and Snoop Dogg in a rap conflict. After a legal threat from the Tupac Estate, the track disappeared again. Here too, the point is not just technology. The point is consent, context and personality rights.

Suno stands for the platform question. The company speaks of around 100 million creators and keeps expanding. At the same time it is clear that without a rights architecture, without license models and without trust from the music industry, the next growth phase becomes difficult. That is why the Warner/Suno agreement is more interesting than any single demo. It shows where the infrastructure wants to go: away from the wild scraping accusation, toward controlled, licensed, commercially usable models.

What This Means for Producers

For producers, AI music is neither a reason to panic nor a reason for self-importance. It is a tool that massively accelerates the lower and middle parts of the production chain. Ignore it and you fall behind. Overestimate it and you confuse material with music.

Practically, this means sketches get faster. References become more precise. Songwriting options get cheaper. But the value comes afterward, in selection. Which approach fits the artist? Which line sounds true and which sounds like a template? Which hook is strong but wrong for this person? Which sound is merely impressive, and which one actually says something?

In my close environment, a very young songwriter is working with an unusually clear perspective of her own. Cases like that show the difference. AI can help her test ideas faster. But it does not replace the question of what this person really wants to say. If a tool removes friction, the human being has to know even more clearly which friction must remain.

That is also why I continue writing about mixing, production and decision-making on Mixed by Marc Mozart. The tools will become faster. But good music production was always more than operation. It was always a filter.

My Current Working Thesis

AI will not abolish music. AI will devalue average music production and make strong identity more valuable at the same time.

If you only sell output, you will come under pressure. If you sell orientation, you become more important. If you only imitate a genre, you become interchangeable. If you have your own story, your own judgment and real access to people, you get new tools.

The decisive sentence for 2026 is not: "AI can now make songs." The decisive sentence is: "Songs alone are no longer scarce."

What is scarce: trust, taste, rights clarity, cultural context, real voices, good decisions and an audience that voluntarily comes back.

Sources and Context

• Deezer Newsroom, April 20, 2026: 44 percent of new uploads are AI-generated, almost 75,000 AI tracks per day, 1 to 3 percent stream share.
• TechRadar, 2026: report on Apple Music comments about fully AI-generated uploads and fraud detection.
• RIAA, June 24, 2024: lawsuits against Suno and Udio over alleged unlicensed use of copyrighted sound recordings.
• Warner Music Group, November 25, 2025: partnership with Suno, settlement of earlier disputes between WMG and Suno, licensed models and opt-in controls.
• Suno Series C announcement: financing, growth and nearly 100 million people creating music on Suno in its first two years.
• GRAMMY.com, 2025 Winners & Nominees: "Now and Then" by The Beatles as winner in Best Rock Performance.
• FKA twigs, statement before the US Senate, April 30, 2024: consent, control and personality rights around voice, image and artistic identity.
• TIME, 2024: Drake, "Taylor Made Freestyle" and the Tupac Estate response to AI-generated voice use.