- You’ve watched all of "grey's Anatomy."
- And "Gossip Girl."
- The Starbucks barista knows you by name.
- You own anything Lilly Pulitzer.
- You have four T-shirt dresses that you alternate every time you go out.
- That you wear with white high top Converse.
- Or low top (you have both so it depends on the day).
- You own a pair of Jack Rodgers.
- Or five.
- You just really love cupcakes.
- Taylor Swift and her crew are obviously #SquadGoals.
- You buy your T-shirts two sizes too big.
- The only types of pants you wear are Norts or leggings.
- Your dog is your spirit animal.
- And your background on your phone.
- You’ve seen both of the "Magic Mike" movies three times.
- You literally can’t even.
- Everything you own either has your monogram or your sorority letters on it.
- "Love Actually" is your favorite Christmas movie.
- Christmas is your favorite holiday.
- Besides your birthday.
- You have three T-shirt drawers
- " Mean Girls" is your favorite movie (you go, Glen Coco)
- You say “YGG” and “ILY” in everyday language
- “OMG” is your go to phrase for 90 percent of what your friends tell you
- Sometimes you say “LOL” instead of laughing.
- You’re over it.
- You religiously watch the Cosmopolitan Snapchat Story.
- You always buy magazines at the grocery story checkout, but forget to read them.
- Kate Middleton is your idol.
- But "Keeping Up With The Kardashians" is your guilty pleasure.
- Your wardrobe is primarily from Target.
- Crafting is your favorite hobby.
- You still cry every time you watch "The Notebook."
- At one point, "Trap Queen" was your favorite rap song.
- Obviously, your favorite color is pink.
- You’ve planned your life on Pinterest (your wedding is going to be beautiful).
- Shopping is your choice form of exercise.
- You and your best friend learned every word to "Super Bass" in 10th grade.
- You have no shame in your basic game.
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This article has not been reviewed by Odyssey HQ and solely reflects the ideas and opinions of the creator.
StableDiffusion
The Illusion of Creativity
AI-generated music is often marketed as “artistic” or “educational.” But what does it really teach?
- That style can be replicated without understanding.
- That emotion can be simulated without feeling.
- That effort can be bypassed with a prompt.
For young creators, this sets a dangerous precedent. Why learn to play guitar when an algorithm can do it faster? Why study harmony when AI can generate chord progressions in seconds? The risk isn’t just laziness — it’s the loss of depth, discipline, and the tactile joy of creation.
I have listened to several AI-generated music covers. My initial reaction was one of considerable impressiveness, particularly regarding the reimagining of classic pop hits in diverse genres with novel arrangements. Here is one good example a-ha — Take On Me
However, after engaging with several such Ai generated song covers, a sense of emotional detachment emerged, attributable to the perceived absence of human artistry and genuine sentiment, resulting in a technically flawless yet ultimately soulless auditory experience.
Copyright in Crisis
What does the copyright law say about AI generated music, especially in field of music covers. Who is liable for copyright in this case, AI developers, people who used AI to generate music or people who published it on music platforms?
Recent lawsuits show that the music industry is pushing back hard:
- Universal, Sony, and Warner sued AI music platforms Suno and Udio in 2024 for allegedly training their models on copyrighted songs without permission Ars Technica The Lyon Firm.
- They’re seeking up to $150,000 per infringed song, arguing that the AI outputs resemble famous tracks and voices (e.g., Mariah Carey, Michael Jackson).
- These lawsuits target the developers of the AI tools — but they raise broader questions:The legal gray area is training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use Sites at USC.
But who’s liable?
Role | Legal Risk | Why |
AI Developers | ✅ High | For training on copyrighted material without licenses. |
Users | ⚠️ Moderate | If they intentionally recreate protected works. |
Publishers/Platforms | ✅ High | For distributing infringing content. |
The grey area lies in training data. Courts haven’t yet ruled definitively on whether using copyrighted songs to train AI counts as infringement or fair use. Meanwhile, AI-generated works themselves aren’t eligible for copyright unless a human provides substantial creative input — leaving them in legal limbo.
The Educational Mirage
Some argue that AI music helps people learn genres, production styles, or vocal techniques. But this “education” often lacks context. It’s like learning to paint by watching a printer — technically impressive, but creatively hollow.
True musical education involves:
- Struggle and iteration: Learning through mistakes.
- Emotional connection: Expressing what words can’t.
- Cultural lineage: Understanding the roots of sound.
AI shortcuts bypass all of this. And in doing so, they risk flattening the rich terrain of human creativity into a sterile landscape of algorithmic mimicry.
Why This Fight Matters
This isn’t just about music. It’s about the future of art, storytelling, and human expression. If we allow machines to dominate creative spaces, we risk turning culture into content — optimized, monetized, and devoid of soul.
We must ask: Do we want a world where art is made by machines, or one where machines help humans make better art?
5 Key Takeaways
- AI-generated music blurs the line between innovation and erosion in the creative arts
- AI-generated music raises questions about copyright, culture, education, and artistic expression
- AI-generated music can replicate style without understanding, simulate emotion without feeling, and bypass effort with a prompt
- AI-generated music sets a dangerous precedent for young creators by potentially leading to a loss of depth, discipline, and joy of creation
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