Music prediction markets on platforms such as Kalshi and Polymarket have already exceeded $400 million in trading volume in 2026, Luana Lopes Lara, COO and co-founder of Kalshi, disclosed. The rapid growth of these markets, where users trade on outcomes like album releases, streaming milestones, and artist collaborations, is intensifying debate over their resemblance to gambling, the risk of insider trading, and whether the music industry can claim a share of the revenue.
A $400 Million Market
On these platforms, users can propose and trade on virtually any verifiable event. Examples include whether Taylor Swift will be the most-streamed artist on Spotify in June, if Zara Larsson will appear on a new Ariana Grande album, or even personal matters such as whether Kanye West and Bianca Censori will separate in 2026. Longer-term questions—like whether Drake or Sam Smith will release an album this year—are also common.
Kalshi and Polymarket have positioned themselves as prediction-trading platforms rather than gambling services. Kalshi is regulated by the U.S. Commodity Futures Trading Commission (CFTC), not as a gambling operator. The model resembles peer-to-peer exchange trading, where users trade contracts against each other rather than against a house. A similar structure has existed for decades in the UK, where Betfair operates under a licence from the UK Gambling Commission.
Prediction Trading or Gambling?
Whether these markets constitute gambling is contested. Proponents note that prediction contracts often cover longer timeframes than typical sports bets, framing the activity as information-driven trading. However, gambling researchers caution that the harms mirror those of traditional gambling: addiction, financial ruin, and elevated suicide risk. One in five problem gamblers attempts suicide, researchers note.
Lopes Lara maintains that Kalshi users are not gambling, that insider trading is prohibited, and that the platform aggregates the largest collection of human-sourced prediction data ever assembled. Addressing concerns about addiction, she said, “We don’t make money when our users lose.”
Insider Knowledge and Market Integrity
The potential for misuse is significant. Using non-public information—such as advance knowledge of release schedules or private artist negotiations—to trade on these markets would constitute illegal insider trading. Yet the decentralized, user-generated nature of the markets creates opportunities for abuse. In one illustrative incident, a man allegedly used a hairdryer to manipulate a temperature sensor and profit from a weather-related prediction contract.
The music industry faces a paradox: a nine-figure revenue stream sits atop its ecosystem, but direct involvement could be viewed as insider trading. Labels and rights holders might instead license data in new ways, allowing users to trade on structured, authorized information sets.
Can the Music Industry Participate?
Prediction markets could also influence industry decisions. If a large volume of traders bets that an artist will release an album this year, a label might consider moving a planned January 2027 release into late 2026 to meet apparent demand. Similarly, heavy betting on a specific collaboration could prompt an artist team to pursue that pairing, on the assumption that it reflects fan desire.
The question remains whether the music industry can find a way to capture a portion of the revenue generated by these markets, regardless of who wins or loses.
