Björn Ulvaeus Warns Majors over AI Deals: ‘We Have to Be Consulted’

Why It Matters

The call for artist‑led licensing and transparent AI contracts could reshape revenue models and set new legal standards across the global music industry.

Key Takeaways

• Ulvaeus demands artist licensing for AI training data.
• Major labels lack transparency in AI partnership agreements.
• AI seen as tool, not replacement for creative judgment.
• Regulation needed to ensure fair revenue sharing with songwriters.

Pulse Analysis

Stockholm Music Week has become a bellwether for how the music business will navigate artificial intelligence. Panels featuring Google DeepMind’s Lyria 3 and industry veterans underscored both excitement and unease. Ulvaeus, speaking as CISAC president, framed AI as a powerful yet unpredictable force, likening it to fire that must be handled with caution. His insistence that AI training data be licensed from creators reflects a growing consensus that unchecked data scraping threatens the economic foundation of songwriting and performance rights.

The core of Ulvaeus’ argument lies in the opaque nature of current AI‑music deals. Major labels and tech firms often negotiate behind closed doors, leaving artists uncertain about royalty splits and usage permissions. Without a mandated licensing framework, AI models can be trained on copyrighted works without compensation, eroding the value of intellectual property. Industry bodies such as the RIAA and international copyright unions are now pressured to draft standards that require explicit consent and fair compensation, mirroring recent moves in the film and publishing sectors.

Looking ahead, the music ecosystem must strike a balance between innovation and protection. AI can accelerate composition, remixing, and production, offering tools that augment a creator’s “ear” for hit potential. However, the technology’s scalability also amplifies the risk of homogenized output if artists are sidelined. Policymakers, labels, and AI developers should collaborate on transparent licensing contracts, royalty‑tracking mechanisms, and audit trails to ensure that the financial benefits of AI‑generated works flow back to the original creators. By embedding these safeguards, the industry can harness AI’s creative boost while preserving the artistic integrity that defines popular music.