中国音数协副秘书长唐贾军发布《游戏企业AI技术应用调研报告》

Core Insights - The forum titled "AI Foundation · 3D Renewal · Process Quality Improvement: Advanced Technology Builds a New Cornerstone for Game Competitiveness" was successfully held in Shanghai, where the "AI Technology Application Research Report for Game Enterprises" was released [1][3]. Group 1: AI Application in Game Industry - AI technology is a core driving force reshaping the game industry's R&D, operations, and user experience [3][18]. - The research involved 22 representative game companies across various regions in China, focusing on medium to large enterprises, with over 90% having annual revenues exceeding 10 million RMB [19]. - AI application in game development has reached a high penetration rate of 86.36%, but the current usage is characterized by "broadness over depth" [4][19]. Group 2: AI in Game Development - AI is primarily used as a tool to enhance efficiency rather than fundamentally changing the human-led development model [20]. - The application of AI is most mature in tasks that are repetitive and data-driven, with art design having a penetration rate of 84.2% [20]. - AI's role in high-creative tasks remains exploratory, with a penetration rate of only 31.6% in narrative and plot outline development [20]. Group 3: AI in Game Testing and Operations - In game testing, AI has a high penetration rate of 84.6% in functional testing, while strategic and content testing still rely on human collaboration [21]. - Over 75% of companies apply AI in game publishing and operations, with an overall application rate of 77.3%, focusing on market promotion, intelligent operations, and risk control [22]. Group 4: Global Trends and Challenges - Globally, AI is widely used in character animation, code acceleration, and automated game testing, with about 20% of games released on Steam in 2025 utilizing generative AI [23][24]. - The industry is still in the early exploration phase of "AI games," with only about 10% of companies having launched experimental AI game products [25]. - Major challenges include the need for significant human refinement of AI-generated content, high complexity in integrating AI tools, and limitations in AI's ability to produce high-quality narrative content [26][27]. Group 5: Industry Constraints and Future Trends - A significant constraint is the shortage of talent, with 72.7% of companies citing a lack of AI and game design talent [29]. - Companies are also facing challenges in balancing investment and returns, with nearly 25% believing the current cost-effectiveness of AI investment is low [30]. - Future trends in AI application in gaming include a shift from isolated tools to integrated systems, a focus on value creation rather than just efficiency, and the establishment of a healthy industry ecosystem encompassing standards and ethical governance [31].