Purpose <p>Generative artificial intelligence (AI) is rapidly expanding within medical practice, yet its use among nuclear medicine professionals has not been systematically evaluated. This study provides the first society-wide assessment of generative AI adoption among members of the Korean Society of Nuclear Medicine (KSNM).</p> Methods <p>An anonymous online survey was distributed to approximately 670 KSNM members. The questionnaire assessed AI use in two domains (research/education and clinical practice), including platforms, frequency, purposes, and perceived usefulness and trust. Descriptive statistics and chi-square tests were used.</p> Results <p>A total of 122 members responded (estimated response rate, 18.2%); 105 (86.1% of respondents) reported using generative AI. Among users, 51.4% used AI daily and 51.4% used paid services; paid subscriptions were more frequent among daily than non-daily users (58.9% vs. 34.4%, <i>p</i> = 0.021). ChatGPT was the most commonly used platform (89.5%), followed by Gemini (55.2%) and Perplexity (26.7%). Perceived usefulness was higher in research/education (<i>n</i> = 96) than in clinical practice (<i>n</i> = 60): 85.4% vs. 41.7% rated AI as helpful/very helpful (<i>p</i> &lt; 0.001). In research/education, translation/language editing showed high prevalence and high utility, whereas code generation had lower prevalence but high perceived utility.</p> Conclusion <p>Generative AI showed a high adoption rate among the survey respondents, with higher perceived usefulness in research/education than in clinical practice. Given the widespread real-world use of third-party generative AI tools, our findings underscore the need for institutional guidance and privacy-aware governance to ensure safe clinical adoption.</p>