The advancement of technology has made it easier to generate and copy creative works, raising concerns about intellectual property (IP) rights. Generative AI systems, although not creating content from scratch, generate new outputs by collaging and recombining training data. The problem arises when this data includes copyrighted materials, leading to potential IP infringements. Additionally, the regenerative style of data use often produces outputs similar to the training data, blurring the lines between original and reproduced creations. As AI capabilities grow, a nuanced approach to IP laws is necessary to address these complexities. The concept of intellectual property itself is being challenged as AI blurs the lines between human and machine creativity.

World intellectual property organizations are hesitant to provide IP protection for AI-generated works, demanding more human involvement. However, as AI becomes intertwined in everyday activities, separating human contributions from machine-generated outputs becomes increasingly difficult. The future raises questions about the relevance of IP and whether it will become antiquated in a world abundant with AI-generated outputs. Finding a sophisticated and balanced approach that respects existing IP rights while ensuring innovation is crucial. The evolution of what intellectual property means is still in its early stages.