A major U.S. news network is now tapping into prediction markets for its coverage. CNN has teamed up with Kalshi to weave forecasting data directly into its newsroom operations worldwide.

This move signals something interesting—traditional media giants are starting to embrace decentralized prediction mechanisms that crypto folks have been championing for years. Kalshi, which runs regulated event contracts in the States, will essentially feed real-time market sentiment into CNN's editorial process.

What does this mean? Viewers might soon see probability-driven insights alongside conventional reporting. Think election odds, economic forecasts, or major policy outcomes—all reflected through actual money-backed predictions rather than just pundit opinions.

The integration could reshape how news organizations validate their narratives. When people put their cash where their mouth is, you get a different kind of signal than polling or expert speculation. Whether this makes coverage sharper or just adds another layer of noise remains to be seen, but the precedent is set.