AI Music: Apple & Spotify Tackle Rise of AI-Generated Songs & Transparency

The question of authorship in music is getting a new layer of complexity. An artificial intelligence (AI)-generated country song reached No. 1 on Billboard’s Country Digital Song Sales chart last fall, and few listeners knew the song was created by a machine. Now, platforms are beginning to grapple with how to signal when a track isn’t entirely human-made, a move prompted by both listener demand for transparency and concerns about potential fraud within streaming ecosystems.

The track, “Walk My Walk,” was released under the name Breaking Rust, a fictional artist with an AI-generated cowboy persona, generic lyrics about perseverance, and an Instagram page that never disclosed its synthetic origins. The incident highlighted how easily AI-generated content can infiltrate established music charts and, more broadly, how tricky it’s becoming to discern what’s human-created and what isn’t.

The Rise of Synthetic Music and the Transparency Gap

The technical barriers to creating and distributing AI-generated music have largely dissolved. Tools like Suno and Udio empower users to generate complete tracks from simple text prompts, producing outputs that can be remarkably similar to human recordings. These tracks can then be uploaded through standard music distribution services – the same channels used by labels and independent artists – and appear in streaming catalogs without any immediate indication of their synthetic origin.

Breaking Rust, for example, attracted over 2 million monthly listeners on Spotify, achieving “verified artist” status despite lacking a biography. Several of its songs garnered over a million plays, with one exceeding 4.5 million streams, all although the creator remained anonymous. This case underscores the potential for AI-generated music to gain significant traction without any disclosure of its origins.

The scale of AI-generated music production is rapidly increasing. Deezer reported receiving over 60,000 fully AI-generated tracks daily in January, a substantial increase from the 10,000 it was seeing when it first deployed its AI detection tool in early 2025. According to Music Business Worldwide, synthetic content now accounts for roughly 39% of all music delivered to the platform each day. Deezer also found that up to 85% of streams on AI-generated music were fraudulent in 2025, suggesting manipulation of royalty payouts rather than genuine listener engagement.

Apple’s Transparency Tags: A Voluntary First Step

In response to these developments, Apple Music announced this month the introduction of “Transparency Tags,” a metadata framework designed to indicate the use of AI in music creation. According to a TechCrunch report from March 4th, these tags cover four content categories: Track, Composition, Artwork, and Music Video. Labels and distributors can begin applying the tags immediately, though Apple notes that compliance will eventually become mandatory for new content.

The tags are intended to provide clarity about the extent to which AI was involved in the creation of a piece of music. However, the current implementation relies on voluntary disclosure. The technical specification explicitly states that the tags are optional for now, and omitting them doesn’t imply any negative assessment. There’s no independent verification process, no built-in detection layer, and no enforcement mechanism for those who choose not to disclose AI involvement.

Spotify’s Position: Empowering Creators, Informing Listeners

Spotify’s approach is similarly focused on providing information to listeners, but framed through a different philosophical lens. Co-CEO Gustav Söderström articulated the company’s position during its Feb. 10 Q4 earnings call, stating that Spotify shouldn’t dictate the creative tools artists use – whether it’s an electric guitar, a synthesizer, or AI.

However, Söderström acknowledged the growing demand for transparency. “What we do think is that consumers would like to know and understand what tools were used in the creation of their music,” he said. Spotify is working with the industry to allow creators and labels to include metadata indicating how a track was created, with the intention of surfacing this information to users.

Beyond Music: A Broader Platform Challenge

The debate surrounding disclosure in the music industry is just one facet of a larger challenge facing platforms across the internet. Music provides a measurable case study as streaming platforms have royalty data that quantifies the impact of synthetic content. The same structural problems apply to video and images, where detection is more difficult and the stakes for trust are potentially higher.

Meta, for example, launched Vibes in September, a dedicated feed within the Meta AI app for short-form AI-generated video. This approach differs from Apple’s labeling strategy by segregating AI-generated content into a separate environment rather than integrating it with disclosure tags within a shared content space. Both strategies represent experiments, and neither has been tested at the scale required to address the problem effectively.

What’s Next: Industry Collaboration and Evolving Detection

The current landscape suggests that a comprehensive solution will require ongoing collaboration between platforms, labels, distributors, and AI developers. The effectiveness of voluntary disclosure frameworks like Apple’s Transparency Tags will depend heavily on industry buy-in and a shared commitment to transparency.

Further development of AI detection technologies will also be crucial. While tools like Deezer’s AI detection infrastructure are a step in the right direction, they are not foolproof. Improving the accuracy and reliability of these tools will be essential for identifying and flagging synthetic content, particularly as AI generation techniques become more sophisticated. The long-term implications of AI-generated content on artistic integrity, copyright law, and the overall music ecosystem remain to be seen, but the initial steps toward transparency represent a critical first move.