Among the listed industries, agriculture is less likely to be disrupted by Generative AI compared to fields like music, manufacturing, and fashion. While Generative AI has the potential to transform various sectors by automating processes, generating creative content, and improving efficiency, its applications in agriculture are more limited. Agriculture traditionally relies on physical labor, natural processes, and environmental factors that are not as directly influenced by AI-generated content. Although AI can contribute to precision farming and data analysis in agriculture, the core practices and challenges of the industry are less affected by Generative AI compared to the more content-driven and process-intensive industries of music, manufacturing, and fashion.