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Logo design plays a crucial role in brand marketing as an effective communication symbol that represents the identity of various products or services. The creative work of simplifying these symbolic meanings has traditionally been a specialized area reserved for designers, requiring unique artistic skills. However, with the advancement of artificial intelligence technology, it is anticipated that even the field of logo design could partially replace the role of designers, leading to changes in design methods and processes. Notably, AI Logo Maker Web tools provide automated solutions that allow users to easily and quickly create logos. With easier accessibility, convenience, and high efficiency compared to human designers, their use has been expanding, and related research has been progressing. However, specific studies comparing the AI's creativity in the idea generation phase with that of human designers have yet to be thoroughly conducted. This study aims to explore the collaborative potential by analyzing and comparing the types of idea generation (combination, similarity, expansion) in logo design sketches by professional designers versus AI Logo Makergenerated logos through word frequency analysis based on in-depth interviews. The results indicate that the total number of idea-related words used was 343 for designer sketches and 311 for AI Logo Maker outputs, with the AI using fewer words overall compared to the designers. Designers used more words in combination and similarity categories, while the AI excelled in expansion. The AI demonstrated remarkable performance in expansion, suggesting that AI Logo Maker Web services should be used in a complementary manner rather than as a replacement for designers. AI can provide rapid results by suggesting highly expansive ideas, while designers can refine these ideas to align with the concept. To better reflect the intuitive and creative workflows of users, AI needs to develop flexible and customizable interfaces that cater to varying levels of user expertise. Additionally, the AI's customization features should be enhanced through collaborative efforts with professional designers. This research specifically presents a direction for collaboration between designers and AI by comparing their idea generation types. At the same time, it proposes important insights into the value of artificial intelligence technology and human designers within the design industry.