“And we got a new Beatles song. I can’t believe we’re talking about the Beatles…. But John Lennon recorded a really corrupted vocal before he tragically died, and it was just kind of there because of some stem separation tech that is only possible because of machine learning. They were able to clean up the vocals, fully on board with the John Lennon estate and the remaining Beatles members, and there’s a few others, but this is interesting. It’s just, it’s a new way of engaging with audio that people, fans are showing that they really like.” – Drew Thurlow

This episode’s guest is a former professional musician turned music executive and strategist. He served as Senior Vice President of A&R at Sony Music and has held leadership roles at both Pandora and Warner Music. As a graduate of Brown University with a master’s in Technology and Leadership, he blends creative insight with business acumen. His writing has appeared in Billboard, and he remains a sought-after voice on the intersection of music, tech, and innovation. His first book, “Machine Music: How AI is Transforming Music’s Next Act,” will be published in 2026.

His name is Drew Thurlow, and he’s also a fellow jury member for the International Sound Awards, which is how we met. As someone on the forefront of music and technology, he has a lot of great advice for sound creatives wanting to make their mark – both now and into the future.

As always, if you have questions for my guest, you’re welcome to reach out through the links in the show notes. If you have questions for me, visit audiobrandingpodcast.com, where you’ll find a lot of ways to get in touch. Plus, subscribing to the newsletter will let you know when the new podcasts are available, along with other interesting bits of audio-related news. And if you’re getting some value from listening, the best ways to show your support are to share this podcast with a friend and leave an honest review. Both those things really help, and I’d love to feature your review on future podcasts. You can leave one either in written or in voice format from the podcast’s main page. I would so appreciate that.

(0:00:00) - Evolution of Music Industry and Taste

Our conversation starts off with Drew’s early memories of sound and his start as a musician. “I was one of those kids,” he recalls, “who just didn’t have idle time without a guitar in my hands, and I didn’t think too much about it. I wasn’t super self-reflective about it, I just kind of like followed my instincts and continued to do that.” He tells us more about his career journey as a music executive and explains how much the business has changed since he first started out. “There’s the whole influencer thing wrapped up in it,” he says, “and the way people, especially Gen Z and younger millennials, fall in love with personalities and artists is different. It’s not necessarily bad, it’s just different.”

(0:12:36) - AI Impact on Music Industry

As the first half of our discussion wraps up, we turn to the question of whether AI might replace human artists, and Drew offers some surprising statistics. “From our best, really good estimates by places like Deezer and Spotify,” he says, “AI-generated music, even though it’s a measurable percentage of all the songs on [digital service providers], is a third of a percent of the royalty pool, and I just want to reiterate that it is a rounding error. Nobody wants this music.” He shares his thoughts on where AI is heading and some of the ways it might help transform the music industry. “On the business side,” he tells us, “there’s a lot of evidence that these fans want to engage with music in cool and interesting ways, and these AI tech tools allow them to do that, and it’s a revenue-generating source.”

Episode Summary

• Drew’s early experiences with music and how he got his start as a music strategist.
• What it means to be an artist in the age of social media and AI-driven content.

Be sure to tune in for next week’s episode as Drew and I discuss his pivotal role in the International Sound Awards, which AI trends are leading the way in the music business, and how machine learning and generative music are finding uses in everything from video games to medical apps.

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