AI Challenges in the Music Industry

The Southern California reggae band, Stick Figure, founded by Scott Woodruff, gained recognition with their 2019 single ‘Angels Above Me.’ In 2022, they were acknowledged by Billboard as the leading living reggae artist worldwide, a testimony to their vast reach and success. The band amassed billions of streams from eight albums, thriving as an independent act while touring extensively from their San Diego and Lake Tahoe bases.

Unexpectedly, an altered version of their song, titled ‘Run Run River,’ rose to prominence without their consent. This AI-manipulated track reframed the original single, accelerating its beat and adjusting vocals, yet failed to credit the band. As a result, it became a viral hit, reaching No. 2 on Shazam and generating significant streaming revenue.

Stick Figure’s team grappled with this unauthorized success, emphasizing the broader issue of AI-generated music modification sans proper artist attribution. Musicians, labels, and streaming platforms now face challenges as AI advances enable records to be manipulated and re-released for profit.

“They didn’t credit us. We were just being ripped off,” Woodruff expressed, underscoring the plight faced by many artists.

AI-driven music production has surged, with platforms such as Suno and Udio facilitating ease of creation and distribution. In 2022, Deezer reported that 44% of newly introduced tracks on their service were AI-generated, with the majority being fraudulent and lacking proper monetization.

Instances such as Michael Smith’s fraudulent scheme, which siphoned $8 million in royalties using AI-generated tracks, exemplify the exploitation potential within the industry. As AI-driven creations proliferate, traditional oversight mechanisms struggle to keep pace. This creates a dilemma for artists like Stick Figure, who must exert significant effort to protect their intellectual property.

The band encountered substantial loss when the fraudulent version of their track generated over 25 million streams, without credits or appropriate compensation. The widespread distribution of such modified tracks represents a growing threat to the authenticity and profitability of genuine artistic works.

Efforts to address the situation include interactions with distributors to remove unauthorized content and discussions about enhancing AI ownership disclosures in song credits. Services like Spotify are striving to manage AI content influx, evidenced by their removal of 75 million spam tracks in an attempt to safeguard authenticity.

Negotiations with AI content creators remain complex, as collaborations sometimes blur ethical lines regarding revenue sharing from such fraudulent creations. Meanwhile, AI continues to reshape the musical landscape, with practices like AI-driven fan edits blurring the line between creative engagement and unauthorized appropriation.

In response, Stick Figure collaborated with artists like David Guetta to create their dance remix. Nonetheless, the industry’s rapid evolution necessitates robust frameworks to ensure proper attribution and compensation.

As technology progresses, industry leaders like Lindvall emphasize the potential for enhanced content identification at creation. However, achieving reliable attribution and fair compensation will require significant technical and organizational improvements in the industry.

Despite ongoing challenges, Woodruff remains optimistic, bolstered by loyal fans advocating for proper attribution.

“The fans have taken over comments on those videos,” Woodruff noted. “They’re like, ‘Hey, give credits to the original songwriter, Stick Figure.'”