BridegRatings: Dave Van Dyke, dvd@bridgeratings.com
Music algorithms are very good at remembering us. Listen to a particular artist, genre or mood, and the system quickly responds with more of the same. That can be convenient—and remarkably accurate. But accuracy and discovery are not always the same thing.
An algorithm usually reduces risk by studying choices we have already made. It learns our musical comfort zone and keeps furnishing it. The result may be an endless stream of songs that fit our taste without ever meaningfully changing it. Radio can do something algorithms struggle to reproduce: surprise us with confidence.
A great radio station does not merely ask, “What already sounds like this listener?” It can say, “Trust us. You may not expect to like this, but be patient and give it three minutes.” That is how musical taste expands. Many songs people now consider personal favorites were not deliberately searched for. They were unknown—placed between two familiar songs.
The listener did not select the song. The song found the listener. That used to be one of radio’s greatest powers. Yet much of music radio now seems determined to behave like a less-personal algorithm. It tightens playlists, repeats the safest songs and removes anything that might cause a listener to hesitate.
The strategy may reduce immediate tune-out. It can also eliminate the unexpected moment that gives someone a reason to remember the station. Radio cannot out-algorithm an algorithm. It knows less about each individual listener and cannot instantly create millions of personalized playlists.
But radio can offer something different: shared discovery guided by human judgment. A programmer can hear a song that does not perfectly match the existing formula but belongs on the station anyway. An air talent can provide the story or context that makes an unfamiliar artist worth hearing. A station can take listeners somewhere they would never have instructed a streaming service to go.
That does not mean playing unfamiliar music recklessly. Discovery works best when trust has already been earned and the new is carefully connected to the familiar. But if every song must resemble something listeners already like, radio is not developing their taste. It is simply protecting it from change. Algorithms can keep feeding us our musical past.
Great radio can introduce us to our musical future.
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