Suno’s music chief says AI tools need to stay open, not locked behind paywalls. Here’s what you need to know:

Key Highlights:

• Suno’s Chief Music Officer Paul Sinclair argues AI music tools should function as “”open studios”” rather than closed platforms
• The debate centers on whether AI-generated audio should be exportable and distributable or locked within platform ecosystems
• Sinclair draws parallels to past tech disruptions, claiming restrictive approaches would have prevented streaming’s rise

A battle over the future of AI music creation is now playing out between two competing visions. During Grammy week in Los Angeles, Suno’s Chief Music Officer Paul Sinclair published a LinkedIn post challenging the industry’s push toward closed AI platforms.

His target: the “walled garden” model where AI-generated music cannot leave the platform, be downloaded, or distributed to streaming services. This approach treats AI as an engagement toy. Sinclair wants AI treated as the next evolution of the DAW.

Sinclair spent six days meeting with artists, producers, managers, and lawyers at Grammy week events. He found broad agreement that the industry faces its biggest technology inflection point yet.

“At the center of today’s debate is control versus empowerment,” Sinclair wrote. He argued that locking music into closed systems over the past 25 years would have killed streaming, blocked bedroom producers from the Hot 100, and prevented fans from becoming creators.

The former Warner Music Group executive of two decades pushed back against RIAA AI copyright guidance framing. “The goal was never protection instead of innovation. It was protection AND innovation,” he stated.

Sinclair believes ethical AI music tools should let users export creations, collaborate across platforms, and distribute broadly. Technologies like SynthID watermarking and frameworks under the EU AI Act offer paths to balance openness with rights protection.

This split affects your workflow directly. Walled gardens protect label catalogs but trap emerging artists who need exportable stems to build careers. Open platforms let you use AI as a stem generator, pulling vocals or textures into your DAW while maintaining human-in-the-loop copyright status.

The music tech disruption history shows restrictive models rarely win long-term. As Spotify’s AI music policy and WIPO AI music fair use guidelines take shape, the platforms you choose now will determine whether your AI-assisted work reaches audiences or stays locked in a box. If you’re scared of AI music democratization, know that the real threat isn’t the technology. It’s who controls access to it.”