75,000 Fake Songs a Day - And Nobody's Stopping It

A few weeks ago, Deezer, one of the major music streaming platforms, published a report.

Buried in it was a number I haven't been able to stop thinking about.

44% of all new music being uploaded to their platform is AI-generated.

Not 4%. Not some niche corner of the internet where tech people run experiments. Forty-four percent of all new music on a platform that millions of people pay for every single month.

That works out to roughly 75,000 AI-generated songs uploaded every single day.

Here's Where It Goes From Interesting to Genuinely Disturbing

When Deezer looked at the streaming numbers on those AI tracks, 85% of those streams were flagged as fraudulent.

Meaning they weren't real listeners.

They were bots. Automated systems streaming fake songs to collect real royalty money.

So what we're describing here isn't just an AI story. It's a fraud story. It's a digital con running in plain sight on platforms that charge you every month for the privilege.

And the real musicians, the people who spent years developing their craft, who poured actual pieces of their lives into their work; they're watching their royalties get diluted by machines and bots while the platforms do nothing.

Why Are the Platforms Staying Silent?

Deezer, to their credit, is at least talking about it. They're labelling AI music. They're calling on other platforms to follow.

Spotify is not doing this. Apple Music is not doing this. Amazon Music, you can probably guess.

And that raises the obvious question. Why not? These are not unsophisticated companies. They have the data. They have the technology to detect AI-generated content.

They are choosing not to act.

Here's why. The product isn't the music. The product is your attention and your monthly subscription fee. As long as you keep paying, as long as there's something filling your playlists, real or not, the economic incentive to clean house is surprisingly small.

That's not cynicism. That's just reading the incentive structure honestly.

I Was Talking to a Retired Music Teacher About This

She spent thirty years in classrooms teaching kids how to really listen — not just hear, but actually listen.

When I told her the Deezer numbers, she went quiet for a second.

Then she said: "Music was the one place I thought we were still safe."

And I understood exactly what she meant.

Writing could be faked. Images could be faked. Video, increasingly now, can be faked. But music, real music, always felt like it required something that couldn't be automated. A human being who had felt something.

And now even that line is getting blurry.

What We Quietly Started Accepting

We grew up, most of us, during arguably the richest creative era in popular music history. The 60s, the 70s, the 80s. Artists who had something to say and developed the craft to say it.

Stevie Wonder. Joni Mitchell. Johnny Cash. Aretha Franklin.

That music didn't come from a prompt. It came from a life being lived. From heartbreak and joy and anger and longing and the specific, irreplaceable experience of being a particular human being in a particular moment in history.

You cannot fake that.

You can imitate it, though. You can produce something that sounds technically similar, that hits the right notes in the right order, that the algorithm will serve you without complaint. And somewhere along the way, quietly, without much debate, we started accepting that imitation in places where we used to demand the real thing.

So What Can You Actually Do?

Glad you asked. Because I'm not just here to make you feel vaguely unsettled and then disappear. Here's what's actually in your hands:

1. Pay attention to who made what you're listening to.

If an artist has no biography, no social presence, no story. and the music sounds oddly generic, it may be AI-generated filler designed to collect royalty money, not to move anyone.

2. Support real artists directly when you can.

Buy a concert ticket. Purchase an album. Follow them on social media. The streaming royalty system was broken before AI even arrived. Don't let bots make it worse.

3. Demand better from your platforms.

Spotify and Apple Music have the technology to detect and label AI content. They are choosing not to use it. That is worth saying out loud; in reviews, in emails, in your own community conversations.

4. Stay curious about what you're actually consuming.

This is a digital literacy issue. You have the right to know whether what you're listening to was made by a human being or generated by a machine in three seconds to game a royalty system.

You're not powerless here. You're just informed now.

The Real Thing Stands Out

Here's where I land on all of this.

The flood of AI-generated music is noisy, fraudulent, and hollow. It's designed to exploit a broken system, not to move anyone.

But it also does something the people running the exploit didn't intend.

It makes the real thing more visible by contrast. When your playlist is increasingly filled with technically competent nothing, the song that was pulled from a real human experience stands out. The voice that has lived something stands out.

Your taste, the accumulated decades of listening, of being genuinely moved by certain songs, of knowing immediately when something is true and when it isn't, that's not obsolete.

That's the compass. And no algorithm can replicate the judgment of a person who has spent a lifetime developing it.

Seneca wrote two thousand years ago: "It takes the whole of life to learn how to live."

A machine has not lived. And the music that moves you, the song that pulls you back to a moment, to a person, to a version of yourself you thought you'd forgotten, that came from someone who had.

Hold on to that. It's more valuable than anyone in Silicon Valley wants you to believe.

➡️ Want more on AI and what it can and can't replace? [Read: AI and Older Adults — The Good, The Bad, and The Ugly Truth].

➡️ Curious about the deeper argument? [Read: AI Claims It Has Taste Now. Here's Why That's Telling].

➡️ Want to build your digital literacy from the ground up? [Start our free course at tech4grownups.com].

When you're listening to music, does it matter to you whether a human made it? Have you noticed something feeling a little off in your playlists lately, something technically fine but somehow empty? Drop it in the comments. And if you know someone who loves music and hasn't heard about this yet, this affects them too, whether they know it or not.