Here's a surprising fact about AI music generators that isn't getting enough attention. Tools like Suno and Udio are gaining popularity, but there’s something deeper beneath their rise that you should know.

Disclaimer: I’m not affiliated with these companies. This is just my perspective. If I were them, I’d have a strategy for user data.

• The Secret Behind AI Music Generators
• The Bias in AI-Generated Songs
• The Lyrics Conundrum
• A Word of Caution for Aspiring AI Music Producers

The Secret Behind AI Music Generators 🎵

Let’s face it: these AI music tools can't whip up full songs just yet—not reliably, anyway. Even with the right prompts, they often need a few attempts to get something decent.

Udio tends to create short, 30-second snippets because they understand the AI’s struggle to generate an entire, quality tune.

Now, by having lots of users kick the tires on these snippets, Udio and Suno can get a grip on what folks really want.

We’re not quite at the finish line with music automation. But with enough user input, we might get there.

👉👉THE BIG POINT: Your preferences are steering the AI's creative compass. Depending on how you see it, that’s either a good or a worrying thing.

Looking to create custom music or swap some lyrics? Visit this page to get started!

The Bias in AI-Generated Songs 🤖

If you’re not keen on helping these companies mold AI to think like us, these tools might not be your best bet.

But let’s be real—many will keep using them.

Here’s the hitch: the songs produced will carry bias. AI reflects the preferences of its users, not the broader audience.

So expect a skewed view—most users are likely not music pros.

Out of 100, there might be just one musician in the mix.

People want good music. But what’s stopping AI from ruling this space? Understanding human creativity and identifying what we label as "good."

The Lyrics Conundrum

One clear area of bias? Lyrics.

Many may think lyrics generated by AI, like from ChatGPT, are solid.

But stack them against a professionally crafted song, and you quickly see discrepancies. Are all chart-toppers perfect? Not really.

Some folks might nod at basic 4-line AABB verses, but let’s not kid ourselves—successful songs usually have more depth.

What you need to remember: You'll find tracks from these tools that strike a chord with users but lack the essence of what drives mainstream success.

A Word of Caution for Aspiring AI Music Creators

Here’s the truth: your choices will shape AI's approach to creativity.

Some see this as a threat; others see it as a golden opportunity to make quality music accessible.

If you're considering a future in music, be ready for AI to potentially take over aspects of your craft.

But here’s what I think: I’ll keep using these tools. After all, making original music hasn’t been a surefire way to make money in ages—unless you’ve got the connections and cash.

And the shift is already happening, whether we contribute to the data or not.

Want my help creating custom music and audio? Check out this page. 😉