For hours, days, weeks, months, even years I have thrived on the happiness and the love of others and it has worked for me. I have let everyone else in my life be the reason that I was smiling, the reason that I was happy. I did not trust myself with my own happiness, I was convinced that my happiness was external not internal. I would literally go to people and expect them to make me smile again, make me feel something again, but sadly that is not how it works. People will only be there so long to make you smile, until eventually it becomes exhausting to be responsible for your happiness. This is not a lesson that I learned over night and it is most defiantly something that I will continue to struggle with, but I am trying. It was about a week ago that I found myself walking to class and I abruptly stopped and realized that I was smiling; no one has said anything to me, I had not received a happy text, talked to someone on the phone, nor did I receive a gift from someone. I paused and realized that I was happy with myself for getting up and being strong. I was smiling because I decided that I get to dictate how I feel, no one else. It was an amazing feeling to realize that the smile that I had was the result of me deciding to smile. People come and go, someone who made you smile yesterday can now be the reason that you walk the long way. The friend that you told everything to, now doesn’t even know how you are doing. That boy that could make you smile in a heartbeat is now the reason that you fight back tears at three in the afternoon. You see the people that used to make you smile have changed, they have now become the reason that you cry. But one person will always be constant from when you’re 3 years old to 90 years old, that person is you. If you are always a constant in your life why wouldn’t you want to make yourself smile daily? Why wouldn’t making yourself happy be a priority, when one day all you’ll have to make you happy is you. If you strive to make yourself smile every day, one day when someone else enters your world they will simply enhance your smile not be fully responsible for your smile. When you can truly rely on yourself to make you smile, when people leave the smile will remain because you will always be there to make yourself smile. Being able to smile on your own does not mean that you have to be alone or have no friends; it just simply means that you aren’t reliant on a happy text, a kind word, a surprise from someone, a joke, or another person's energy to make you smile. Please allow yourself to be in control of your happiness, no one else; be able to wake up every day and smile because of who you are and because you control how you feel every second of every day. In an hour, a day, a week, a month, or maybe even a year you will be able to take complete responsibility for the smile on your face that makes you beautiful in every way. One day someone will see you smiling and when they ask why you can look them in the eyes and say because I make myself happy.
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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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