The Royal Philharmonic Orchestra commissioned new research in early 2026 to understand public attitudes toward artificial intelligence in music, revealing a stark divide in how people view AI's role depending on the context. While the vast majority of Brits believe live orchestral performances will remain fundamentally human-created, far fewer hold that conviction about recorded studio music. The research offers a nuanced picture of where audiences see AI as a legitimate tool versus where they view it as a threat to human creativity .

Where Do People Think AI Belongs in Music?

The research uncovered a clear pattern: people are most comfortable with AI handling the technical, behind-the-scenes work of music production rather than the creative act itself. Respondents found AI acceptable for engineering and production tasks, including mixing, remastering, and restoration of archived recordings. These applications were seen as enhancements to existing work rather than replacements for human artistry .

However, comfort with AI varies dramatically by music genre. The data reveals striking differences in how people perceive AI's suitability across different styles:

• Genres Where AI Performs Well: Dance music (49% approval), pop (46%), and rap (36%) were seen as genres where AI-generated music could work effectively.
• Genres Where AI Struggles: Classical music (45% approval), blues (75% disapproval), folk (77% disapproval), and soul (76% disapproval) were viewed as genres where AI falls short of capturing essential human qualities.
• The Live Performance Exception: Across all genres, 78% of respondents believed live performances represent an area where AI will not replace human creativity by 2050, whereas only 50% held that conviction about studio-recorded music.

What Are People Most Worried About?

Beyond questions of artistic quality, the research identified concrete concerns about AI's economic impact on the music industry. The majority of respondents, 51%, cited concerns over music being copied without royalties being paid to creators. This anxiety extends beyond individual musicians to broader ecosystem concerns, including potential damage to local music venues and disrupted career pathways for young people entering the music profession .

These concerns reflect a deeper worry about whether AI adoption in music production could hollow out the industry's economic foundation, even if the technology itself produces acceptable results.

How to Think About AI's Role in Music Creation

• Production vs. Creation: Distinguish between AI tools that enhance production quality (mixing, mastering, restoration) and AI systems that generate original compositions. Public acceptance is significantly higher for the former.
• Genre Context Matters: Consider whether a particular music genre relies on human imperfection and emotional nuance as core artistic elements. Classical, blues, folk, and soul music were identified as genres where audiences believe human creativity remains irreplaceable.
• Economic Protections First: Before expanding AI music tools, establish clear frameworks for royalty payments and artist compensation to address the primary public concern about copyright and fair payment.
• Live Performance as Anchor: Recognize that live orchestral and musical performances remain a powerful anchor for human creativity in the public mind, suggesting that concert halls and live venues will continue to play a central role in the music ecosystem.

Vasily Petrenko, Music Director at the Royal Philharmonic Orchestra, offered perspective on how human creativity and AI might coexist. He noted that great art often derives its power from human imperfection rather than algorithmic perfection. "The RPO research revealed that the public felt AI could be used successfully to enhance the production side of recording music, such as the mastering of new recorded music and the restoration and audio enhancement of archive recordings," Petrenko stated. "In terms of the creation of music, AI may in theory offer perfection, but great art is often art precisely because of human imperfections implicit within the shape and form of the piece."

Vasily Petrenko, Music Director at the Royal Philharmonic Orchestra

"Orchestral music must embrace change, not just to survive but to grow and prosper. New technology is an enabler and a democratiser, and the rich diversity of the orchestral audience today allows us to celebrate its relevance to changing tastes, cultures and beliefs," Petrenko explained.

Vasily Petrenko, Music Director at the Royal Philharmonic Orchestra

The research also revealed generational differences in AI acceptance. Older respondents expressed more fear based on what they had read about the technology, while younger people were more likely to already use AI tools and accept them as part of their creative process. This suggests that public attitudes toward AI in music will likely continue to evolve as the technology matures and younger audiences bring their own experiences to bear .

The RPO's findings come at a critical moment for the music industry. As AI music generation tools become more sophisticated and accessible, understanding where the public draws the line between acceptable enhancement and problematic replacement becomes essential for industry stakeholders. The research suggests that a path forward exists where AI serves as a production tool while human creativity remains the foundation of musical artistry, particularly in genres and contexts where emotional depth and imperfection are valued.