AI Bands Disrupt Music Industry Landscape with Major Implications

The emergence of artificial intelligence (AI) bands is transforming the music industry, raising concerns about job availability for human musicians. Bands like Velvet Sundown, known for their 1970s-style rock, and country projects such as Aventhis and The Devil Inside are enjoying significant success on platforms like Spotify, each surpassing one million plays. Despite this growth, major streaming services, with the exception of France’s Deezer, do not clearly identify tracks produced entirely by AI, complicating the landscape for traditional artists.

Music producer and performer Leo Sidran noted a growing awareness of this trend, stating, “I feel like we’re at a place where nobody is really talking about it, but we are feeling it.” He warns of an impending flood of music where the creators remain anonymous. This sentiment is echoed by producer and composer Yung Spielburg, who distinguishes between “passive” and “active” listening. He believes that while musicians may still connect with engaged audiences, they will face increasing pressure from listeners who prefer background music during routine activities.

The implications for musicians are significant. If listeners cannot differentiate between AI-generated tracks and those created by human artists, it is likely that publishers and labels will lean towards AI compositions, which do not require royalty payments. Mathieu Gendreau, an associate professor at Rowan University and a music industry executive, emphasized the pervasive presence of AI, stating, “AI is already in the music business and it’s not going away because it is cheap and convenient.” He predicts this shift will make it increasingly challenging for musicians to earn a sustainable income.

Concerns about AI’s influence are backed by insights from Dennis DeSantis, a professor at the University of Rochester School of Music. He pointed out that music streaming platforms are already filled with mood music attributed to obscure artists, further complicating the traditional music landscape. AI-generated soundtracks are becoming appealing alternatives for various media, from movies to advertisements, due to their cost-effectiveness.

The rise of AI in music has led to a notable decline in available work for some musicians. Sidran reported a slowdown in projects since late last year, attributing this change to AI’s growing role in music production. He remarked, “I suspect that AI is a big part of the reason,” as clients increasingly turn to AI solutions for original compositions.

Historically, technology has influenced the evolution of the music industry, from the advent of electric guitars to synthesizers. However, as George Howard, a professor at Berklee College of Music, argues, AI represents a unique challenge that may threaten the sustainability of many artists. He expressed concerns that this technological advancement could lead to a “zero-sum” situation, impacting artists disproportionately.

As the industry grapples with these changes, Howard remains hopeful that legal actions will favor artists embroiled in disputes with AI companies that replicate their styles and works. Gendreau encourages aspiring musicians to adopt an entrepreneurial mindset to navigate the evolving landscape. Sidran advises artists to embrace their individuality, cautioning that conventional approaches may soon be overshadowed by AI’s capabilities.

For now, live performances remain a stronghold for human musicians, as AI bands have yet to make their mark on stage. As the music industry continues to adapt to these developments, the full impact of AI on creativity and employment in music remains to be seen.