This study explores how YouTubers use generative artificial intelligence (Gen-AI) in content creation. Through a qualitative analysis of 68 YouTube videos, the research identifies the domains where Gen-AI is applied, the tools used, the actions performed, and the nature of the final products generated. The findings reveal that YouTubers primarily use Gen-AI in marketing (19.4%), arts (34.33%), entertainment (14.93%), career (8.96%), programming (7.46%), and education (7.46%). The most commonly used Gen-AI tools include large language models (LLMs) like ChatGPT, image processors such as Midjourney and DALL·E, video processors like Adobe Premiere Pro and Pictory, and audio processing tools like Voxbox and Play.ht. Gen-AI tools are used for generating content, upscaling existing content, suggesting ideas, writing, solving problems, analyzing, and impersonating. The final products include videos, images, audios, and other digital content. The study highlights the impact of Gen-AI on content creation, including its potential to enhance creativity and productivity, but also raises concerns about the risks of fabricated content and the challenges of maintaining quality and authenticity. The research also discusses the implications for the HCI community, emphasizing the need for further study on the balance between human-AI collaboration and individual creativity, as well as the importance of equitable access to Gen-AI tools for all content creators.This study explores how YouTubers use generative artificial intelligence (Gen-AI) in content creation. Through a qualitative analysis of 68 YouTube videos, the research identifies the domains where Gen-AI is applied, the tools used, the actions performed, and the nature of the final products generated. The findings reveal that YouTubers primarily use Gen-AI in marketing (19.4%), arts (34.33%), entertainment (14.93%), career (8.96%), programming (7.46%), and education (7.46%). The most commonly used Gen-AI tools include large language models (LLMs) like ChatGPT, image processors such as Midjourney and DALL·E, video processors like Adobe Premiere Pro and Pictory, and audio processing tools like Voxbox and Play.ht. Gen-AI tools are used for generating content, upscaling existing content, suggesting ideas, writing, solving problems, analyzing, and impersonating. The final products include videos, images, audios, and other digital content. The study highlights the impact of Gen-AI on content creation, including its potential to enhance creativity and productivity, but also raises concerns about the risks of fabricated content and the challenges of maintaining quality and authenticity. The research also discusses the implications for the HCI community, emphasizing the need for further study on the balance between human-AI collaboration and individual creativity, as well as the importance of equitable access to Gen-AI tools for all content creators.