![]() ![]() “This is going to put actual humans out of creative industries,” she says. (Universal Music Group has already called on Spotify and Apple Music to block AI companies from using its music to “train” their technologies.)Įconomic displacement is the core concern beneath some of the more visceral reactions people have to AI, says Meredith Rose, senior policy counsel at nonprofit advocacy group Public Knowledge. ![]() “You can create an audio version of a visual concept: What does a tree sound like?”Īnd with the desert-level thirst surrounding the acquisition and promotion of classic artist catalogs, it wouldn’t be a stretch to imagine AI-generated “new” songs by long-dead icons. “AI can create an entirely new rhythm that maybe a human couldn’t have executed,” Martin says. Plus, AI tools that can emulate hundreds of vintage synths-or combine them into previously unheard sounds-are already commercially available. But he’s beginning to see one-stop shops like Uberduck. Generating a fake Drake song might involve four or five different AI tools now, Martin explains, including a lyric generator, a beat generator, a melody generator, vocal cloning, and vocal synthesis. Tools for creating AI music are becoming less labor-intensive too. “That is now down to less than two minutes,” he says. ![]() Peter Martin, an Oscar-nominated film producer who has worked on virtual-reality projects with Justin Timberlake, Run the Jewels, and Janelle Monáe, recalls how it would have taken 11 hours of a voice for an AI to be able to mimic it just three years ago. If listeners became accustomed to Adam Levine’s cyborg croon 20 years ago, surely some will accept the latest AI iterations as well. Or take guitar amplifiers: “Very few people mic guitar amplifiers anymore,” Beato says-instead, many use digital models, which can recreate the sounds of different types of amps. On the production side, in his view, tools like Auto-Tune and timing correction software helped replace session musicians. “I know in Nashville songwriting sessions, they’re using ChatGPT,” Beato says. Now lyricists can feed their verses into ChatGPT and ask for a better version, or prompt the bot to rewrite the song in someone else’s style. In songwriting, rhyming dictionaries and co-writers have been available basically forever. There are already robotic microphone stands being used by engineers via an app-these could be controlled by an AI instead, eliminating more work.īeato sees AI tools as perhaps the end of a long continuum of ways that music-making has tried to move past individual human limitations. “Mastering engineers will be the first to go, and then mixing engineers,” he says, predicting an AI mixing/mastering tool that can mimic anyone’s style. ![]() Rick Beato, a YouTube music personality and veteran producer, echoes his peers’ concerns about cuts to recording studio personnel. “Producers definitely need to figure out a new way to adapt in the next couple of years. “It’s gonna put a lot of people out of business, for sure,” he says. “It was telling me where to allocate my budget-10 percent content creation, 3 percent email marketing-and breaking down how I needed to do this whole album rollout.”Īlthough AI may be routine for Wolf, he doesn’t downplay the tech’s potential ramifications. “I was just feeding it information-we were pretty much going back and forth,” he says. “You can hear the complex melodies in it.” He uses an AI program to remove vocals from beats, the AI text-to-image tool Canva for artwork, and ChatGPT for business matters as well. Wolf says he has been tapping into AI tools for three or four years, including on an unreleased Juice WRLD collaboration called “ Sexual Healing.” “I used an AI to create a symphony and then sampled the symphony,” he says. ![]()
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