This week my rockstar older sister gave birth to her and her husband’s second boy, Colton Wilder! As my family has been anticipating his arrival I kept thinking back to when my first nephew, Brooks Mitchell, was born. Both times I was away at school when they arrived, and so now I have to wait till Christmas break to meet the newest addition. Both times I hated not being home, I hated that I was not there for such a big moment for my sister. But just like the last time, she was a rockstar and now has a family of four. I remember when I held my first nephew I cried when my sister handed him to me. I couldn’t believe he was here, and I was amazed at his perfect tiny self. He was so delicate and quiet, peacefully sleeping in my arms. I didn’t realize I could love someone so much. Wether it is a nephew or a niece, they are a part of your family and change the family dynamic in the best way. They are a joy, a blessing. I quickly realized that I wanted to be present in my nephews lives as much as possible, I want them to feel loved and to know I would do anything for them. Since my first nephew was born I have been praying for them as they grow up and the people they will become. I hope they become people of character, integrity, and God-loving. Therefore I want to be the best I can be so I can help them in the things that maybe no one else can teach them. I know they are not MY kids, but they are my sister’s. Therefore they are a part of my life forever and I love them immensely. Besides, who doesn’t love kids?! Children are a blessing! They make us laugh in ways that only innocent little kids can, and they challenge us in who we are and who we want to be. When I come home from school majority of my time is focused of my nephews. I do not want to be a stranger to them, I want them to know the strength in a family. I know I am not going to be a perfect person in their lives, but I want them to know they are always loved.
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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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