2026年音乐_电影与电视行业的生成式AI调查报告_25页_17mb

Summary of Generative AI in Music, Film & TV (2026)

Core Content

Generative AI has significantly impacted the entertainment industry, particularly in music, film, and television. The report outlines the challenges and opportunities brought by AI in content creation, focusing on issues like copyright, consumer attitudes, and the evolving landscape of AI-driven services.

Main Points

Music Industry

• AI Artists and Songs: AI-generated music has gained traction, with several AI artists (e.g., Xania Monet, Breaking Rust) achieving substantial streaming success and even chart appearances. These artists often use platforms like Suno and Udio to generate music.
• Consumer Comfort: U.S. consumers are generally uncomfortable with AI use in music, especially with fully AI-generated songs or performances. However, a third of listeners are indifferent, and some are somewhat comfortable, particularly with AI-assisted elements like lyrics or instruments.
• Generational Trends: Younger generations (Gen Alpha and Gen Z) show the most negative sentiment toward AI music, with a significant drop in comfort from May to November 2025. Older generations, like Boomers, are even more anti-AI.
• Copyright Issues: Major lawsuits have been filed against AI companies like Suno and Udio for unauthorized use of copyrighted material in training AI models. These legal battles highlight the need for clear licensing and compensation frameworks.
• Licensing Deals: In 2025, several licensing agreements were formed between music companies and AI developers, aiming to ensure rights holders are compensated. These include deals with Universal Music Group, Warner Music Group, and others.
• Authorized Remixing: AI music apps are introducing features that allow users to remix, mash up, or manipulate songs using licensed content, creating new monetization opportunities for artists and rights holders.

Film & TV Industry

• Consumer Comfort: There is widespread discomfort among U.S. consumers with AI use in film and TV production, especially when it involves replacing real actors with digital replicas or using entirely synthetic actors.
• Acceptable AI Uses: Some AI applications are more accepted, such as visual effects, sound effects, and dubbing. About a third of viewers are indifferent to AI use in these areas.
• Generational Differences: Older audiences (Boomers) are more opposed to AI in film and TV production than younger generations. However, there is still a net negative sentiment across all age groups.
• AI in Production: AI is being integrated into production workflows, raising concerns about the impact on the workforce and the authenticity of content. Studios are exploring partnerships and licensing strategies to manage these changes.

Key Information

AI Music Artists

AI Music Services

Consumer Comfort with AI in Music

Consumer Comfort with AI in Film & TV Production

Conclusion

The integration of generative AI in the music, film, and television industries is reshaping content creation and consumption. While AI-generated music has seen significant growth and some legal challenges, the music industry is actively forming licensing agreements to address these concerns. In film and TV, consumer discomfort remains high, especially with AI replacing human elements, but certain applications like visual and sound effects are more accepted. As AI continues to evolve, the focus will be on balancing innovation with ethical considerations and ensuring rights holders are fairly compensated.