Prediction markets spark Spotify chart manipulation scandal
A trader spotted abnormal U.S. streams that lifted a song to Spotify's No. 1 spot, revealing a fraud scheme tied to a prediction-market platform.
On June 28, trader Caleb Davies observed unusual activity on Kalshi, a U.S. prediction market that lets users wager on outcomes such as daily Spotify chart leaders. The next day, two songs saw a sharp rise in U.S. streams, prompting Davies to alert the platforms; Spotify subsequently deleted those streams. A third track, Malcolm Todd's 2024 release "Earrings," experienced a 70% jump in a single day, propelling it to the top of Spotify's U.S. chart and yielding a twentyfold return for bettors who had backed it on Kalshi.
Spotify later excised more than 500,000 bot-generated plays, but the market payouts were already finalized. The case underscores the rise of AI-produced music and large-scale streaming fraud, as illustrated by the 2024 indictment and guilty plea of producer Michael Smith for siphoning over $8 million in royalties. Experts warn that prediction markets turn chart positions into tradable assets, creating new incentives for manipulation beyond traditional royalty schemes.
Why it matters
It shows how betting platforms can corrupt music charts, affecting royalties and consumer perception of popularity.
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