Few weeks ago, my father asked me, "When you write, you do it so confidently, but when you sing, you get nervous, why is that?" To my surprise, I actually had the answer for that. I told him that when I write, I do it for myself, without worrying about what people will say, but when I sing, I do it for people. This made me realise a lot of things!
Even when I meet people, I worry what people will think about me, so I end up being shy and awkward. On top of that, I start thinking about my past experiences, where I wasn't liked by many people, for being different. I worry that I will do something odd which will make people hate me and leave.
As for singing, even though it has helped me a lot in life, and is my biggest strength, I realise I sing to mainly please people. Over the years, I have seen people as good and talented as me, and the competition to become better and to become preferred by people, always comes in my mind. I always had that worry of losing my biggest strength, as I have been demotivated of doing other things such as sports, dancing, studies etc. and even demotivated of my appearance.
I am also the kind of person, who always worry about other people, than myself. I used to make other people's problem my own, and not worrying about my own issues. I always used to think that, "I don't care what happens to me, but I can't see people close to me suffer."
All of these makes me realise what do I get from all this? HURT! That's it! If I keep worrying and stressing about things, I will feel worse. I worry because I don't want to get hurt, but if I keep worrying like this, I will feel hurt.
This makes me realise that I am very critical of myself. I don't think that I am good enough at anything. People will keep saying stuff, but I shouldn't take all of it. So I will make mistakes, mistakes are a part of everyone's life, and people will judge. But I should have faith and believe in myself, to work harder and even better. I need to understand myself and love myself for who I am. I need to understand that I am not worthless! I need to fill myself with confidence, which will make me stronger to let go off negative comments.
I write because I do that for myself. I do that to express myself. Same way, I want to sing and talk with people for myself, and I really hope to do that!
It's time I start loving myself!
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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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