对比中国，美国会展业AI应用情况如何？来自主办方与服务商双重视角的调研

Core Insights - The application of AI in the exhibition industry is a significant topic of discussion, with the U.S. leading in practical applications compared to China, where the industry is still exploring AI's potential [2][26] - Two recent surveys from IAEE indicate that over 80% of U.S. exhibition professionals now use AI regularly, highlighting its integration into daily operations [4][26] AI Usage in the U.S. Exhibition Industry - AI has transitioned from a niche experiment to a daily tool for over 80% of professionals in the U.S. exhibition industry, with 84% of B2B organizers and 86% of service providers utilizing AI [4][8] - The primary benefits of AI usage include reducing repetitive tasks and enhancing basic efficiency, with high overall acceptance and satisfaction rates among users [4][12] Hierarchical Usage Patterns - A notable trend is that management-level professionals are more likely to use AI than lower-level employees, indicating a top-down approach to technology adoption [7][24] - Organizers focus on using AI for specific event planning and execution, while service providers leverage AI for daily tasks and strategic functions [7][15] Core Application Scenarios - AI is predominantly used for high-frequency tasks, with organizers applying it mainly for text creation (59%), SEO (41%), and meeting transcription (29%) [8][13] - Service providers utilize AI for text processing (57%), information retrieval (50%), and meeting assistance (31%) [8][15] Tool Preferences - ChatGPT is the most relied-upon AI tool, with 31% of organizers and 46% of service providers citing it as a key resource [9][10] - The preference for general-purpose AI assistants over specialized tools indicates a demand for multifunctional solutions that can address various tasks [11][19] Satisfaction and Challenges - Satisfaction with AI tools is high, with only 14% of organizers and 9% of service providers finding AI unhelpful, suggesting a strong alignment between supply and demand [12][20] - Key barriers to AI adoption include concerns about capability gaps and risk, particularly among organizers who handle sensitive data [19][20] Insights for the Chinese Exhibition Industry - The U.S. experience suggests that the Chinese exhibition industry should focus on addressing daily pain points with AI rather than pursuing complex applications [21][29] - Management involvement and training resources are crucial for successful AI implementation, as demonstrated by the U.S. model [24][29] - Service providers in China are encouraged to enhance their service offerings with AI capabilities to differentiate themselves in a competitive market [24][29]