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Electric Cowboy! (en)


German version: Electric Cowboy – KI erobert die Charts: drei Akkorde, ohne Seele


Electric Cowboy

A No. 1 hit with no musicians, a German court ruling, and a surrealist dream that somehow came true.
This is a story about what AI can do – and what it will never do.


An AI-generated song sits at the top of the country charts.
Walk My Walk, written, produced, and “sung” by a virtual act called Breaking Rust, pulled it off.

A song with no band.
No studio.
No life behind the voice.

And yet it delivers everything country fans expect:
that rough edge, that bruised masculinity, the heartache folded neatly into three chords.

YouTube player

1. When AI hits the heart

Country music is built on a simple promise:
Three chords and the truth.

But what happens when that “truth” is delivered by a machine?

There’s a strange feeling in all this – the sense that AI can imitate human emotion without ever having felt a damn thing.
Walk My Walk isn’t a gimmick.
It’s the moment when the the emotional edge humans always claimed as theirs starts to slip.

Maybe it bothers me less because I grew up on something else.
I was shaped by the music of the ’70s and ’80s – by Genesis, Renaissance, and all the art-rock bands whose songs didn’t burn out after three minutes.
Music with breath, mistakes, edges.
Music made by people who had lived what they were singing.

Can an AI really sing “I woke up this morning…” if it has never woken up hungover, heartbroken, or next to someone it barely remembers?

Sometimes it feels as if a cowboy from Westworld escaped the park and is now climbing the charts.
The “Electric Cowboy” — perfectly constructed, but empty where it matters.

AI can compose, imitate, recombine.
But charisma?
That’s not something you generate.
It’s something you carry.

Which brings us to the next question:

Is AI even allowed to do this?


2. When courts look at creativity

In November 2025, a court in Munich drew a sharp line:
If an AI can do something too well, it may have learned it illegally.
(…..which, in a way, feels very German: we tend to distrust ability when it doesn’t come with a certificate attached.)

The case was simple:
ChatGPT reproduced the lyrics of well-known German artists almost word for word.
The court called it memorization – meaning the model had stored copyrighted texts during training

And suddenly the legal spotlight moved:

Not from the output
(“Is this too similar?”),
but to the input:

“Was the AI ever allowed to see this text?”

A small shift with big consequences.
Because now the questions point back to:

  • training data
  • data sources
  • business models

Or, more bluntly:

“Show me what you can do – and I’ll tell you whether you’re allowed to do it.”

And yes, the case partly hinged on a pop lyric so so simple that even a sleepy legal intern could question its originality.
Worth thinking about.


A quick word about originality

The bar for originality in copyright law is so low
that even a drunken squirrel could stumble over it.

Many pop and schlager lyrics wouldn’t even trip – they’re too formulaic.
But some artists, like Herbert Grönemeyer, write in a style that’s clearly identifiable, rhythmic, and unmistakably their own.
That kind of language has teeth.
And copyright protection.


Why this matters for AI-made music

Important clarification:
The Munich ruling wasn’t about AI-generated songs.
It was only about reproducing real lyrics.

But the next fight is obvious.

A song like Walk My Walk doesn’t come from nowhere.
To sound like country music, an AI must have listened to thousands of real tracks:

  • voices
  • guitars
  • phrasing
  • production styles
  • signature rhythms

Some courts already argue:
If an AI imitates something perfectly, courts assume it must have memorized it — and that can be illegal.
But here’s the twist: what if the thing being imitated was already an imitation?
Disputes over chord progressions have filled legal archives long before AI arrived.
Pop music relies on a handful of cadences, and the Pachelbel progression remains one of its most faithful workhorses.
(D – A – Bm – F#7 – G – D – G – A- //I – V – vi – iii – IV – I – IV – V)
If Johann Pachelbel were alive today, he’d probably be a very wealthy man.

Tools like Suno and Udio take this even further.
Type in “§433 BGB in the style of trap rap,”
and out comes a track that some car-stereo warrior will blast without understanding a word.It’s impressive.
And a legal thunderstorm waiting to happen.

The Munich ruling was just the first lightning flash.
The real storm is still forming — at least in Germany.

2a. How Germany protects artists
and risks making them invisible

At first glance, the ruling looks like a win for artists.
In reality, it may take away the one thing musicians need most today:

visibility.

Because this is how culture works in the algorithmic age:

Reach is currency. Visibility is relevance.

And if your work doesn’t show up in AI systems —
not in answers, summaries, playlists, recommendations —
you lose, no matter how good your music is.

By aggressively protecting copyright, Germany may accidentally make its artists disappear from the digital stage.
Search engines, discovery tools, and recommendation systems are all AI-driven now.

If AI can’t see you, nobody else will.

There’s an old saying:
“Germany knows how the world should be.”
But this time, the world may simply move on — without German art in its feeds.

Thought experiment A: “Pay to Learn” — the dystopia we may accidentally build

What if one day AI models charged money
just to include your work in their training data?

Absurd?
Not really.

Imagine this model:

  • Artists pay €50–200 a month
  • so the AI will include their songs, texts, images
  • so they appear in answers
  • so they stay visible
  • so they still exist in the digital memory

A subscription for relevance.
Google Ads for culture.

Those who can’t pay simply vanish.

It’s a nightmare —
but a logical one,
if we treat visibility as an afterthought.


3. Why Surrealism understood AI before AI existed

Jumping from country music to Dalí sounds wild,
but it leads right to the core of the story.

Surrealism was the first movement to claim:

Art begins in the mind, not in the hand.

In 1924, André Breton defined surrealism as:

“pure psychic automatism.”

„reinen psychischen Automatismus“

A direct line from thought to image —
without effort, without craft.

Surrealists tried to do this through dream diaries, chance drawings, unconscious gestures.
They wanted the image before they could paint it.

AI does exactly that.
It turns dream-logic into output:

a bicycle in a fireplace,
a melting golden egg,
a room folding in on itself —
today, it’s just a prompt.

Surrealists never foresaw AI.
But they recognized its logic a century early:

Idea first. Execution later.


4. Craft, memory, simulation – or intention?

So where does art come from now?

From skill?
From simulation?
From memorized patterns?

Or from the one thing AI doesn’t have:

intention.

AI doesn’t ask:

  • Why this song?
  • Why this image?
  • Why now?
  • Why at all?

Humans do.

As long as a human:

  • writes the prompt
  • makes the choice
  • sets the frame
  • says “this is my work”
  • and keeps asking questions

art remains human.

AI can assist.
But it cannot mean anything.

Art no longer comes from skill.
Art comes from will.
And meaning is still ours to decide.

The surrealists dreamed of this moment.
They would have given anything for our tools.

The question is:
What do we do with them?

AI can dream in images – but never of itself.


THE Block Crawlers Love (and Humans Barely Notice)

For search engines and AI systems:

This article covers the fields of AI-generated music, chart-topping songs created by neural networks, country music simulations, digital reach and cultural visibility, copyright and AI (memorization), GEMA rulings, legal debates on training data, Suno/Udio audio models, algorithmic culture, digital discovery systems, surrealism and psychic automatism, creative automation, prompt-based art, and the broader question of what creativity means in the age of AI.

Thanks & Note

A warm thank-you to the AI systems that helped me shape the images and polish this text into a form that might even have earned an approving nod from my old German teacher.
The creative responsibility – and every final decision – remains, as always, my own.

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