I will make it there some day, but today is not going to be that day, I know. I move a little bit closer to my destination, but still it seems so far away. It is in the making, the doing or the happening that I am moving, even if to others it appears I am not. I carry my home, my world and my sanctuary on my back which slows me down. Others around me are flying by as if they were riding rockets past me, but it is only because I am slow. The trail I leave behind me, for only me and my kind to see proves that I am progressing. By now I might sound like a snail to you, or a turtle, but I am neither. I am a human: a baby, a child, a teenager, an adult and an elder. That’s me. I am making my way through life. I don’t like to rush my way through, but take it all day by day. My life is in the doing in which I am making possible to live and happen. Each and every one of us is going through life this way. Some are moving fast and others are moving slow, but we all make it to our destination. Whether that destination is success in a job, making someone special proud, or having a good life and accepting death, we all make it there in the end. Everything is in the doing. The high school couple sneaking a kiss in the hall and whispering the three words they are years from being able to understand. The single mother raising three kids wondering what she did wrong in her marriage that would leave her with such a limited future. The old man waiting in his hospital bed listening to the steadily decreasing beeps until he knows his end has come. Everything has a beginning, has rises and falls like the mountains, and has an ending that will eventually come. We never want to see the true end, death, but at some point we all have to relieve our back of the world that we have been carrying throughout our journey. Life is in the doing as it always has and always will be. We just have to accept when the end has come, whenever that end may be, was all part of the on going cycle that is always in the doing.
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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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