Curatorial practice faces diverse challenges in selecting, ideating, coordinating, and publicizing exhibited works. While the advancement of GenAI shows its potential to help curators by enhancing design capabilities, knowledge exploration, and knowledge dissemination, the impact of GenAI on curatorial practice is underexplored. We conducted studies with 13 curators through interviews (N=13) and 3 through hands-on case (N=3). We found that GenAI supports workflows in theme selection, space design, topic research, artwork selection, and element production. GenAI tools can enhance creativity, facilitate communication, and expand knowledge, however, they also pose challenges. These challenges include potentially stifling critical thinking, managing inaccuracies, addressing practical feasibility, integrating multiple GenAI tools, and navigating ethical concerns. The effectiveness of GenAI tools often depends on the curator’s understanding of their role and limitations. We further offer practical recommendations for curators and suggest future research directions to better understand and optimize the use of GenAI in curatorial practice.