It’s About Time AI Wins a Grammy

I’m a self-taught musician who, fortunately, didn’t quit his day job. You see, I’ve been told my pitch falls somewhere between scratching fingernails on a chalkboard and a howler monkey in heat. During live gigs, I’ll be the guy slapping the bass guitar strings while trying to keep up with the drumroll. But who knows? Maybe I could have been a pop star if I had followed in Cher’s footsteps when she released “Believe,” in 1998, bringing forward the Auto-Tune era. Back in the analog age, recording a perfect vocal track was a cacophony of trial and error. We would step into the studio and painfully watch our singer try to nail the initial take. A perfect pitch is for music gods like Stevie Wonder or Freddy Mercury. It isn’t easily attainable for mere mortals like us. I spent hours in the studio recording demo tapes, so I know how back in the good old days sound engineers faced the daunting task of physically splicing together segments of tape, attempting to salvage what they could while battling our singer’s pitch struggles.

Well, everything changed when Dr. Andy Hildebrand’s algorithm offered a lifeline to producers and bad-pitch pop star wannabes. In April, an elusive TikTok creator known as Ghostwriter shared a piece of AI-generated music titled “Heart On My Sleeve.” The song used AI to emulate Drake and The Weeknd’s voices, and it quickly went viral on social media. AI-generated music has been making waves for months, but deep-faking some of the most successful singers in the industry quickly amassed millions of views on TikTok.

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