AI-Generated Band Sparks Controversy in Music Streaming

The AI Band That Sparked Spotify’s Content Regulations Row

An AI-generated band called The Velvet Sundown gained millions of Spotify streams before being exposed, triggering discussion over copyright and regulation. This incident highlights the challenges that music platforms face in handling synthetic content.

Introduction

The Velvet Sundown appeared on streaming services in June, presenting itself as a regular folk rock band with polished photos and a carefully crafted sound. Within weeks, the group had notched up millions of listens on Spotify. However, music fans quickly started noticing something odd about the whole setup.

Discovery of the AI Nature

The band’s promotional photos had that slightly unsettling quality that’s become the hallmark of AI-generated images. The situation escalated when someone claiming to be connected to the project revealed that the band had used Suno, an AI platform for creating music, to generate their tracks. Initially, the team behind The Velvet Sundown tried to deny these claims through social media but eventually came clean about the artificial nature of the project.

Industry Backlash

This admission triggered a backlash from across the music industry and raised awkward questions about how streaming platforms police their content. Ed Newton Rex, who runs Fairly Trained, a non-profit focused on AI ethics, stated, “This is exactly what artists have been worried about; it’s theft dressed up as competition.”

Concerns Over Transparency

The controversy has exposed how little oversight there is of AI-generated content in music streaming. Current rules don’t require platforms to flag synthetic music, leaving both artists and listeners in the dark about what they’re hearing. Roberto Neri, CEO of the Ivors Academy, argues that AI-generated bands raise serious concerns around transparency, authorship, and consent.

Sophie Jones, Chief Strategy Officer at the British Phonographic Industry (BPI), emphasizes, “We believe that AI should be used to serve human creativity, not supplant it.” The BPI has been pushing for more transparency from AI companies regarding how they train their systems and generate content.

Risks of AI-Generated Music

Writer Liz Pelly warns that AI-generated music could homogenize sound. In her book “Mood Machine: The Rise of Spotify and the Costs of the Perfect Playlist,” she notes that music trends produced in the streaming era are inherently connected to attention, leading to a risk of everything sounding the same.

Streaming Platforms’ Responses

Different streaming services have taken varied approaches to handling AI-generated music, highlighting the lack of industry-wide standards. Deezer, for instance, has rolled out detection software that spots AI-generated tracks and tags them for users. Aurélien Hérault, Deezer’s Chief Innovation Officer, views this as a transparency issue, stating that platforms need to inform users.

In contrast, Spotify has adopted a more hands-off approach, insisting it doesn’t favor AI-generated music over human-made tracks. However, research indicates that Spotify often fills its playlists with AI-generated songs to reduce royalty payouts, raising concerns about its promotion of synthetic content.

Conclusion

The Velvet Sundown’s rise and subsequent exposure have ignited a vital conversation about the future of music in the age of AI. As the industry grapples with these challenges, the need for clear regulations and transparency becomes increasingly urgent. The current lack of oversight poses significant risks for both artists and listeners, demanding a reevaluation of how platforms manage synthetic content.

More Insights

Revolutionizing Drone Regulations: The EU AI Act Explained

The EU AI Act represents a significant regulatory framework that aims to address the challenges posed by artificial intelligence technologies in various sectors, including the burgeoning field of...

Revolutionizing Drone Regulations: The EU AI Act Explained

The EU AI Act represents a significant regulatory framework that aims to address the challenges posed by artificial intelligence technologies in various sectors, including the burgeoning field of...

Embracing Responsible AI to Mitigate Legal Risks

Businesses must prioritize responsible AI as a frontline defense against legal, financial, and reputational risks, particularly in understanding data lineage. Ignoring these responsibilities could...

AI Governance: Addressing the Shadow IT Challenge

AI tools are rapidly transforming workplace operations, but much of their adoption is happening without proper oversight, leading to the rise of shadow AI as a security concern. Organizations need to...

EU Delays AI Act Implementation to 2027 Amid Industry Pressure

The EU plans to delay the enforcement of high-risk duties in the AI Act until late 2027, allowing companies more time to comply with the regulations. However, this move has drawn criticism from rights...

White House Challenges GAIN AI Act Amid Nvidia Export Controversy

The White House is pushing back against the bipartisan GAIN AI Act, which aims to prioritize U.S. companies in acquiring advanced AI chips. This resistance reflects a strategic decision to maintain...

Experts Warn of EU AI Act’s Impact on Medtech Innovation

Experts at the 2025 European Digital Technology and Software conference expressed concerns that the EU AI Act could hinder the launch of new medtech products in the European market. They emphasized...

Ethical AI: Transforming Compliance into Innovation

Enterprises are racing to innovate with artificial intelligence, often without the proper compliance measures in place. By embedding privacy and ethics into the development lifecycle, organizations...

AI Hiring Compliance Risks Uncovered

Artificial intelligence is reshaping recruitment, with the percentage of HR leaders using generative AI increasing from 19% to 61% between 2023 and 2025. However, this efficiency comes with legal...