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Söndörgő
by Gary E. Andrews - 05/31/26 01:28 AM
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A test
by bennash - 05/26/26 07:18 AM
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Joined: Dec 2008
Posts: 10,793 Likes: 82
Top 10 Poster
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OP
Top 10 Poster
Joined: Dec 2008
Posts: 10,793 Likes: 82 |
Donna Ross-Jones’ Post View profile for Donna Ross-Jones Donna Ross-Jones 7mo
The AI Music Crossroads — The Quiet Revolution Begins
ASCAP, BMI, and SOCAN just announced they’ll now register partially AI-generated works. On the surface, it sounds progressive — a nod to innovation and artistic freedom.
But read between the lines, and a deeper truth emerges: this decision doesn’t just make it easier for independent artists to protect their work — it makes it easier for corporations to replace human creators at scale.
Here’s the part no press release will say out loud:
If the major music companies can now legally register and monetize songs that are partially AI-generated, what’s to stop them from hiring one “prompt engineer” to generate hundreds of tracks a day?
They don’t need to hire rooms full of songwriters anymore.
They don’t need session musicians, vocalists, or producers crafting each sound.
They can feed their own catalog into an AI engine — trained on the very songs you and your peers created — and start pumping out “new” content that technically meets the registration criteria.
It’s legal. It’s efficient. And it’s devastating.
If “writing a prompt” now qualifies as “human contribution,” what happens when corporations hire a few prompt engineers and generate thousands of songs a day?
They won’t need songwriters. They won’t need producers. They won’t need musicians. They’ll need data managers.
The creative process is being redefined — not around emotion or expression, but around output.
And that’s the crossroads we stand at today. So when the industry calls this progress, who is it really progressing for?
The Cost for Real Creators
If that happens, here’s what we lose: • Authenticity — real emotion that comes from lived experience, not predictive text. • Livelihoods — fewer jobs for songwriters, musicians, engineers, and producers. • Cultural diversity — when music becomes data-driven, it stops reflecting life and starts reflecting algorithms. • Royalties — even if AI-generated songs earn billions of streams, those dollars will go to corporations, not communities of creators.
This is the quiet automation of artistry.
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