This course treats AI not just as a tool but as infrastructure reshaping how creative work gets made, valued, and distributed. Students in this course will learn by building: through guided coding workshops and structured templates (no prior programming required), they learn how to create and work with AI systems. This involves adjusting datasets, thresholds, feedback loops, and prompts to see where systems hold up and where they break. Along the way, we will examine how automation shifts authorship, expertise, and aesthetic norms. Students redesign a creative process using AI, document edge cases, and prototype alternatives that rethink how these systems operate. Readings span current AI research, its history, labor studies, and media theory, as well as relevant case studies. Guest practitioners connect studio experiments to industry practice.