AI's ties to major labels deepen as Suno strikes licensing deal with BMG
Published August 12, 2026 · WORLD
SOURCE: MUSICRADAR.COM
BMG, the fourth-largest global music company, has entered into a licensing agreement with AI music generation platform Suno. This partnership enables Suno to use BMG's recorded and publishing repertoire to train new AI music models, with compensation for participating artists and songwriters.
The deal marks a notable expansion of Suno's collaborations with major music companies, following a similar arrangement reached last year with Warner Music Group. Both BMG and Warner have established frameworks that grant artists the choice to participate and receive payment for the use of their music in AI training.
Suno plans to develop novel music experiences through this alliance, aiming to reshape how creators and audiences engage with music. The partnership covers BMG’s entire catalog, but only includes artists who opt in to license their works to Suno.
This licensing agreement contrasts with ongoing legal disputes between Suno and the remaining two major record labels, Universal Music Group and Sony Music. These companies filed a lawsuit in 2024 accusing Suno of extensive copyright infringement related to its use of their catalogs for model training.
The legal environment surrounding AI music has further evolved in Europe. In late July, a German court ruled in favor of the performance rights organization GEMA, requiring Suno to pay licensing fees for its use of GEMA's repertoire. This ruling represents the first European judicial decision addressing the licensing of AI platforms trained in the U.S.
Suno’s platform boasts over two million paid subscribers and recently secured more than $400 million in funding, reaching a valuation of $5.4 billion. To address concerns about unauthorized distribution, the company announced plans to implement audio watermarking and fingerprinting technologies to track AI-generated content across streaming platforms.
Additionally, Suno introduced new limits on song downloads to restrict large-scale distribution and reduce streaming fraud. These measures reflect the company's stated commitment to building a responsible ecosystem around AI-generated music.
BMG emphasized that this agreement prioritizes transparency, artist control, and fair compensation. The company’s senior executives highlighted a vision where artists remain central to AI-driven innovation, with clear economic benefits and creative opportunities.
The integration of BMG's catalog into Suno’s AI models could impact the economics of artists' catalogs by creating new revenue streams from AI-generated uses. This approach also shifts some control back to creators by allowing them to decide on licensing participation, a factor not always guaranteed in AI content use.
By adopting watermarking and usage limits, Suno attempts to address longstanding industry worries about AI music flooding digital markets without proper attribution or compensation. If successful, this model could set standards for balancing technological innovation with rights protection.
The dynamic between AI platforms like Suno and traditional music companies reveals a fragmented industry response. While some entities pursue partnership strategies, others remain entrenched in litigation, underscoring ongoing tensions about the role of AI in music creation and rights management.
As AI models rely on vast data sets, agreements such as the one between BMG and Suno provide a template for how catalog owners might negotiate terms that protect artistic interests while embracing technological progress.
What remains unconfirmed is whether Universal Music Group and Sony Music will follow BMG and Warner's lead to formalize licensing deals, or maintain their current legal actions. The resolution of these disputes will significantly influence the landscape of AI-generated music moving forward.
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This article was synthesized and rewritten by MusicTop Editorial from reporting published by musicradar.com. Read the publisher's report for the complete source context.
Read original source: musicradar.com