Grow up. These are two words that teenagers hear very frequently, and two words that they do not want to make into a reality. I, myself, am one of these teenagers that wishes she could stay young and dare I say careless forever. The thought of ever leaving the home you were raised in doesn't even seem like a real possibility. It's almost something that is expected but seems so far out of reach. Being a teenager requires little work, and a lot of play. Especially while in high school the only extent of responsibility is maybe a a part time job and school work. But then you move on into the college years and are slowly introduced to what the real world is like. You are forced to live on your own and figure out a way to take care of yourself. Responsibilities pile up and on top of that you need to figure out what you want to do with the rest of your life. Nothing, in my opinion, is scarier than that. Being forced to choose one thing to do seems impossible. How do you know you'll choose something that makes you happy? Makes you a decent living to support yourself, and someday maybe even a family? It's a decision that becomes incredibly overwhelming, but ultimately has to be made. And although it is scary, you should always keep this in the back of your mind; you will create your own path in life to follow that will lead you to where you are meant to be. Sometimes you may feel as if you want to give up, but never give into the negativity. Life was never guaranteed to be an easy task, and sometimes difficult times make you that much stronger. Success is earned with hard work and a few bumps in the road along the way. You need to experience bad times to truly appreciate the good times. So yes, we are often told it is time to "grow up" but that isn't necessarily a bad thing. It just means that certain things are meant to be left in the past in order for your life to truly blossom into what it's supposed to be, and to prosper. Grow up, but never grow out of the person you know you are.
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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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