运用文献研究法、案例分析法等方法分析后发现，生成式人工智能应用于体育竞赛表演产业会对体育赛事内容生成机制、观赛体验增强机制、赛事营销优化机制、商业模式创新机制产生重要影响。然而，生成式人工智能在体育竞赛表演产业应用时面临着现实挑战，即人工智能存在的幻觉问题和算法偏见与体育竞赛公平性适配冲突、人工智能数据敏感性和算力不足影响其在体育竞赛表演产业的可持续应用、人工智能与体育交叉融合专业的复合型人才短缺与培养滞后制约体育赛事高质量转播或直播、过度依赖人工智能和过度追求人工智能技术效能都会对体育竞赛表演产业产生负面影响。据此，从生成式人工智能应用于体育竞赛表演产业的算法纠偏与幻觉抑制、数据安全治理与算力资源建设、人工智能与体育交叉融合专业的复合型人才培养以及人机协同机制创新方面提出了对策。

After analyzing via literature research, case analysis and other methods, it is found that the application of generative artificial intelligence (GenAI) in the sports competition and performance industry will have a significant impact on the generation mechanism of sports event content, the enhancement mechanism of viewing experience, the optimization mechanism of event marketing, and the innovation mechanism of business models. However, there are several practical challenges in the application of GenAI in this industry. Specifically, GenAI’s illusions and algorithmic biases conflict with the fairness and authenticity of sports competitions; data sensitivity and insufficient computing power hinder the sustainable application of GenAI in the sports competition performance industry; the shortage and lag in the cultivating compound talents with interdisciplinary backgrounds in AI and sports restrict the high-quality broadcasting of events; and excessive reliance on GenAI technology and an excessive pursuit of its efficiency will exert negative impacts on the industry. Based on this, countermeasures are proposed for the application of GenAI in the sports competition and performance industry, including algorithm correction and illusion suppression, data security governance and computing power development, the cultivation of compound talents with interdisciplinary backgrounds in AI and sports, and the inno vation of human-machine collaboration mechanisms.