AI-generated music is going viral. Should the music industry worry?

With more than 1 million monthly listeners on Spotify, psychedelic rock band The Velvet Sundown is raking in thousands of dollars and has the music industry asking itself tough questions 一 and they’re not about whether the ’70s are coming back. 

The “band” was recently confirmed to primarily be the work of generative artificial intelligence 一 something that had been heavily suspected in light of a suspiciously smooth and glossy image of its “band members” and derivative song titles like “Dust on the Wind.”

The Velvet Sundown’s bio on Spotify now clarifies that it is a “synthetic music project guided by human creative direction, and composed, voiced, and visualized with the support of artificial intelligence.” 

It adds, “This isn’t a trick – it’s a mirror. An ongoing artistic provocation designed to challenge the boundaries of authorship, identity, and the future of music itself in the age of AI.”

However, in CNBC’s conversations with various music professionals, descriptors like “soulless,” “stifling,” and “creepy” surfaced, as the industry grapples with the encroachment of AI. 

While AI tools have long been integrated into music software like Logic, newer AI-powered platforms such as Suno and Udio have made it easier than ever to generate entire songs based on nothing more than a few prompts and inputs. 

As a result, “The Velvet Sundown” is far from the only AI-generated artist emerging online. There’s evidence that other upstarts like “dark country” musician Aventhis — with more than 600,000 monthly listeners on Spotify — are also a product of AI-generated voices and instruments. 

Meanwhile, France-headquartered music-streaming service Deezer, which deployed an AI detection tool for music in January, revealed in April that about 18% of all tracks being uploaded to its platform are fully generated by AI.

The quality and originality of AI music have often been criticized, but experts say that as generative AI becomes more sophisticated, it’s becoming harder and harder for the average listener to distinguish between human and machine.

“[The Velvet Sundown]” is much better music than most of what we’ve heard from AI in the past,” Jason Palamara, an assistant professor of music technology at the Herron School of Art and Design, told CNBC. 

“Early versions could be used to make catchy, repetitive hooks … But we’ve gotten to the point where AI is putting out songs that actually make sense structurally, with verses, choruses and bridges,” Palamara said. 

He added The Velvet Sundown is likely just the “tip of the iceberg” of what’s coming. Suno and Udio — the current “gold standard” of genAI platforms — come with few to no barriers to entry, allowing anyone to create hundreds of AI tracks in one sitting. 

Both platforms offer free access, as well as premium subscriptions priced at about $30 or less a month.  

But while creating an AI song can be done for free, that doesn’t mean it can’t generate revenue. The Velvet Sundown has made about $34,235 over a 30-day period across all audio streaming platforms, according to estimations from ChartMasters’ streaming royalties calculator.

Because of that, it’s easy to see why AI creators might want to flood streaming platforms with as much generated music as possible, hoping to go viral. 

The growing prevalence of AI music has caused a stir across the music industry, according to Keith Mullin, head of management and music industry course leader at the Liverpool Institute for Performing Arts. 

“It’s the hot topic of the moment, especially in relation to copyright and digital service providers like Spotify,” said Mullin, who is also the guitarist for Liverpool rock band The Farm. 

Major record labels such as Sony Music, Universal Music Group and Warner Records have launched lawsuits against Suno and Udio, accusing them of mass copyright infringement. Meanwhile, thousands of musicians and creatives have called for a prohibition on using human art to train artificial intelligence without permission.

Nevertheless, Mullin said generative AI in music is here to stay. “I don’t think we can turn the clock back,” he said, noting that music and its business models are ever changing. 

Indeed, the music business is no stranger to big technology shifts — events like the introduction of Napster in 1999 and the proliferation of music-streaming platforms in the 2000s shook up the industry, forcing major adaptations. 

Still, the notion of competing with AI bands is causing anxiety for budding musicians like Tilly Louise, a U.K.-based alternative pop artist who said it’s already hard enough for small performers to gain traction and generate income from online music.

Despite accumulating millions of streams on Spotify, Louise, 25, said she’s never made nearly enough money from streaming platforms to live on, and currently works a full-time job. 

“For a band that doesn’t even really exist to then get all that social media traction, it’s so discouraging,” she added. 

To prepare young artists for the changing music environment, music professors said they’ve increasingly been incorporating AI into their lesson plans, aiming to teach students how to utilize the technology to enhance their creative process and music production, rather than replace it.

Some established producers have also leaned into the trend. Last month, Grammy-winning artist and producer Timbaland launched an AI-focused entertainment venture, called Stage Zero, which will feature an AI-generated pop star. 

“Other producers are going to start doing this … and it will create a completely different model of the music industry that we can’t predict yet,” Palamara said. He added, however, that he does think the trend will make earning money as an artist online even harder.

The trend is also expected to continue to receive backlash not only for its impact on artists, but also for what it could mean for music consumers. 

“[M]usic fans should be worried because the proliferation of AI music and content clogs our social media feeds and algorithms, making it difficult for us to connect with one another,” Anthony Fantano, a prominent music critic and internet personality on YouTube, told CNBC in a statement. 

“AI art offers nothing that humans themselves can’t already do better,” he said, adding that it’s a way for “greedy capitalists” to cut out actual artists.

Aside from calling for better copyright protections for artists when it comes to the training of AI, music organizations are asking that AI-generated songs be labeled as such. Spotify did not respond to an inquiry from CNBC regarding its generative AI detection and labeling policies. 

In a statement to CNBC, Tino Gagliardi, president of the American Federation Of Musicians of the United States and Canada, urged creators, those in the tech industry, lawmakers and music fans­ to stand together in support of human creativity and authorship.

“Consent, credit, and compensation are prerequisites in AI development. And transparency, including in streaming and other marketplaces, is the foundation for safeguarding musicians’ livelihoods. Anything short of that is theft.”