The chapter delves into the ethical questions surrounding AI companies' data sourcing practices, focusing on controversial decisions by tech giants to use copyrighted material for training AI models. It highlights the legal and ethical implications of scraping YouTube videos and utilizing copyrighted content, sparking a debate on fair use and copyright violations. The conversation explores the industry's reliance on data acquisition, the potential limitations of data scarcity on AI development, and the emergence of synthetic data as a solution to overcome data limitations.