Imagine spilling a glass of orange juice into a crystal-clear pool. The juice swirls, mingles, and disappears into the water. Is it still orange juice? Pool water? Or something entirely new? This simple image captures a profound question: when boundaries blur, how do we define identity? Today, artificial intelligence is that orange juice—blending into the vast pool of human creativity. AI can write essays, compose music, and generate art at lightning speed. But does this output represent originality, or is it a remix of countless human ideas? Where does creativity end and plagiarism begin? For centuries, plagiarism meant copying without credit. Now, AI complicates that definition. It doesn’t “think” or create like humans; it predicts and recombines patterns from massive datasets. The result? Content that feels original but is derivative at its core. This raises ethical dilemmas: Who owns AI-generated work? How do we cite sources that don’t exist? And what happens when originality becomes an illusion? This talk explores the gray zone between inspiration and appropriation, the illusion of originality, and the urgent need for transparency. AI should complement—not replace—human thought. Creativity thrives on intent, meaning, and transformation—qualities machines cannot replicate. As we stand at the crossroads of innovation and ethics, the challenge is clear: How do we protect human creativity while embracing AI as a tool for progress? The answer will shape the future of art, education, and human flourishing. A This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx