Cheerful Music Showcases Human-First AI Music Strategy at AI Summit London

At the AI Summit London’s 10th‑anniversary celebration, UK‑based label Cheerful Music stepped onto the stage to outline its human‑first approach to artificial intelligence in music.

The panel “Can AI Make Human Music More Valuable?” featured founder and CEO Snow Jiang, UK office A&R Manager Sergio Veloz, and producer He Zhu. They answered questions about how the label blends AI tools with traditional production, artist intellectual property, and rights management.

Veloz explained that Cheerful Music treats AI as a productivity aid rather than a creative replacement. “AI can speed up workflow and offer audience insights, but it never substitutes taste, authorship, or emotional connection,” he said. The label’s core belief is that human creativity drives success because listeners respond to stories, experiences, and identity.

A highlight of the session was the debut of the label’s first AI virtual artist, Lynn (灵玥). Lynn’s music combines AI‑trained vocal models with songs written by human songwriters. The label clarified that Lynn is not a one‑click product; instead, she is a virtual performer built around licensed voices, human composition, short‑form distribution, and character‑led intellectual property. Lynn’s debut track, “RED,” has amassed more than 210 million views across short‑form video platforms and has charted on several listings.

Cheerful Music plans to expand its virtual artist roster with new IPs, including YAN (炎昭) and PeanutsJack (花生杰克). In a Q&A, Jiang emphasized that the label does not release fully automated AI songs. Every track is written by human songwriters, and all AI voice training uses licensed human voices under paid agreements with clearly defined usage terms. The company said it follows a “highly responsible and transparent licensing framework,” where participating artists sign paid agreements that grant permission to use their voices within specified limits rather than permanent buyouts.

The presentation underscored that the real value lies in the infrastructure behind AI music. According to the panelists, the essential components are licensed voices, human‑written songs, virtual performer IP, short‑form growth potential, sync opportunities, and rights models that are established before the catalog scales. This approach aligns with broader industry trends, where major labels such as Universal Music Group, Sony Music, and Warner Music Group have entered licensing agreements with generative music platforms to create commercial frameworks for AI‑generated audio.

Cheerful Music’s strategy reflects a growing emphasis on consent, ownership, workflow, and audience connection in the AI music ecosystem. By building systems that respect artists’ rights and provide transparent usage terms, the label positions itself to navigate the rapidly evolving legal and commercial landscape. The company’s focus on short‑form video distribution also taps into the current demand for content that can be quickly consumed and shared, a factor that has become increasingly important for sync placements and brand partnerships.

In summary, Cheerful Music’s presentation at the AI Summit London highlighted a human‑first approach to AI in music. The label’s use of licensed vocal models, human songwriting, and a clear rights framework demonstrates a model that prioritizes creative integrity while leveraging AI for efficiency and audience insight. As the industry continues to adopt AI tools, companies that establish robust infrastructure and transparent licensing practices are likely to lead the market.