This study explores the use of generative artificial intelligence (Gen-AI) by content creators on YouTube, focusing on the domains, tools, actions, and outputs of Gen-AI usage. The research is based on a qualitative analysis of 68 YouTube videos demonstrating Gen-AI applications. The findings reveal that Gen-AI is being used in six primary domains: marketing, career, arts, entertainment, programming, and education. The most common tools used include Large Language Models (LLMs), image processors, video processors, audio processors, and text processors. The actions performed by Gen-AI tools in the videos include generating, upscaling, suggesting, writing, developing, solving, analyzing, and impersonating. The final products presented in the videos include videos, images, audios, computer programs, documents, slides, and websites. The study discusses the implications of Gen-AI on content creation, marketing, and professional development, highlighting both the benefits and challenges, such as the potential for dependency on AI tools and the need for quality assessment methods in user-generated content platforms.This study explores the use of generative artificial intelligence (Gen-AI) by content creators on YouTube, focusing on the domains, tools, actions, and outputs of Gen-AI usage. The research is based on a qualitative analysis of 68 YouTube videos demonstrating Gen-AI applications. The findings reveal that Gen-AI is being used in six primary domains: marketing, career, arts, entertainment, programming, and education. The most common tools used include Large Language Models (LLMs), image processors, video processors, audio processors, and text processors. The actions performed by Gen-AI tools in the videos include generating, upscaling, suggesting, writing, developing, solving, analyzing, and impersonating. The final products presented in the videos include videos, images, audios, computer programs, documents, slides, and websites. The study discusses the implications of Gen-AI on content creation, marketing, and professional development, highlighting both the benefits and challenges, such as the potential for dependency on AI tools and the need for quality assessment methods in user-generated content platforms.