I don't want to start an argument about whether or not it is necessary for our President, Donald Trump to build a wall on our southern border. Or at least, yet. I do however, worry about the cost and where we will get that money. During the campaign, Mr. Trump said that he plans to have the government of Mexico to pay for the wall. Immediately after he said that when he launched his campaign in June of 2015, the former President of Mexico, Vicente Fox said that Mexico "will not pay for that fu***** wall." I don't think it was only me who believed that was a pretty strong statement. After he made that statement, questions loomed to whether or not he could actually get Mexico to pay for the wall. It wasn't until this past week that he finally released his plan for "Mexico" to pay for the wall. He wants to essentially impose a 20% tariff on companies who import their products to the United States, from Mexico. This is an issue for the consumers of the United States. Despite what Mr. Trump might believe, companies are not going to move from Mexico or decide that it would be better to move to a country where they wouldn't need to pay this tariff, because they have an easier and more effective method to make this money. They will simply charge their United States customers 20% more. In other words, it is not companies paying for the wall...and it is certainly not the government of Mexico. It’s us, the United States consumers. I encourage you to look into this deal he just made. It will ruin our relationship with Mexico. It will ruin the United States’s economy. My fellow Americans…it is necessary to ask ourselves…do you want to pay for the wall? Do you want to spend an undisclosed amount of money to confirm President Trump’s fantasy that illegal immigration is at its peak? I certainly don’t. And just for the record, Mexico won't. So it is all on you, the American people.
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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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