When music streaming services like Spotify or Apple Music recommend a song or an album, it can be a make-or-break moment for lesser-known artists. But it still doesn’t pay the bills: musicians earn on average less than half of a cent per stream unless they’re among a platform’s top artists. Streaming fraud and copycat tracks can also cut into their pay — types of theft that could be made even easier with generative artificial intelligence. We’ll talk about how automation and technology are changing how we consume music, how that music sounds and what artists are paid.
How Musicians are Navigating Streaming Algorithms, AI and Automation
(Catherine Falls Commercial via Getty Images)
Guests:
Nastia Voynovskaya, associate editor, KQED Arts & Culture
Zack Nestel-Patt, bassist and composer; organizer, Union of Musicians and Allied Workers
Marc Hogan, senior staff writer, Pitchfork
LaRussell, artist; founder, Good Compenny - an organization that promotes rising Bay Area artists
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