Going to college is tough, Working is tough, & living at home with your parents is something that is almost impossible to explain because you feel like you have to be an adult but you still live under their roof with their rules so thats always a fun little twist in there. So living at home, working, and going to school, is an interesting experience to say the least. Staying at home for college was a decision that was not hard for me to make. 2 years at community college and than go onto a university and live the life at college, but ya see things change. Life never pans out the way you plan. I have switched my major more times than I can count and what do I have to show for it… a few base courses and that is about it. Coming to the realization that you aren’t where you thought you would be is a scary thing for anyone. So many emotions start to surface. Am I wasting my time? Why am I even in school? Should I just get a job that doesn’t require a degree and than plan on going back? Millions and millions of questions haunted me every day because for once I had no answer. I had no plan, and truly did not know what I wanted to do for the rest of my life. I felt like I was just sliding by on life and not actually living. Everything around me felt like it was falling apart, but then one day something changed. I finally realized that change is okay and sometimes absolutely necessary. I’ve always been extremely resistant to any change at all so now having my whole future ahead of me, changing that was something I thought was impossible but I realized maybe a new path is what needs to happen. I could spend every single day sad and tearing myself down that I am not where I thought I would be in 2 years but I also don’t think I would have grown into the person I am now if I kept with the same plan. Sometimes the change that we resist the most is the one that brings us the most joy. No matter what anyone says it is okay to change your mind. I now look at these two years as learning years. I realized what I want and don’t want out of life and that my happiness has to come first, because in the end that is what will matter. I do not want to be the person in 40 years looking back thinking I rushed into a career that I did not truly want just to be the “norm”. I want to find my passion and pursue it and make it into a career because in the end, my happiness is all that will matter.
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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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