I don't think anyone could comprehend what I mean by falling in love. Not nowadays.
Though the Arabic word tuqburni has no real English equivalent, it can be translated to: a love so deep you could die without your partner.
And though it is incomprehensible to most of my generation, that's the kind of love I long for.
I want an unconditional kind of love, the kind of love that makes your stomach churn and your cardiac muscle clench. The kind that is absolute. The kind that makes you desperate for the other person, whether they are far from you or not. The kind that's unbearable when gone unexpressed. The kind that keeps you up at night. The kind that is difficult, that is hard. The kind that isn't always perfect.
Yes, I want all the hardship that comes with love, and I'm willing to put in the time it takes to nurture and develop that kind of love.
Which is uncommon for my generation.
My generation has forgotten about true love- about real, deep connection. My generation has made sex and love interchangeable terms.
I disagree.
Sex is our excuse for love, because we are too afraid to commit to a real connection. We mistake a physical connection between our bodies for an emotional one. We've substituted one of our deepest human emotions with a false sense of connection. Stripping our clothes is easy. Stripping to the deepest, most vulnerable parts of our souls- that is difficult.
And my generation likes quick and easy. Because everything around us is no different. We have access to limitless knowledge always at our fingertips. We live in a fast-paced world. Everything around us is fast.
Love is not. Love takes time, time my generation does not seem to have, or does not want to make.
I, on the other hand, want to make that time. I want to make time to sit down, and listen about someone's darkest fears, their deepest desires. I want to see all the ugly, and all the good in someone. I want to look into someone's eyes and see the world in them, and I want someone to do the same for me. I want my tuqburni.
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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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