Kalshi and CNBC Strike Multi-Year Prediction Market Deal
CNBC teams up with Kalshi to bring real-time prediction market data across its platforms starting in 2026.

- CNBC and Kalshi enter exclusive multi-year partnership
- Kalshi’s market data to feature on CNBC TV and digital platforms
- Integration begins in 2026, enhancing financial forecasting
Kalshi, the regulated prediction market platform, is making a major move by partnering with CNBC in an exclusive multi-year agreement. Beginning in 2026, Kalshi’s real-time prediction market data will be integrated into CNBC’s wide range of content—including its television broadcasts, digital platforms, and subscription services.
This marks the first time a major U.S. news network will feature prediction market data as part of its regular financial coverage. The collaboration aims to give CNBC viewers and subscribers deeper insights into future events affecting markets, politics, and the economy, through Kalshi’s data-driven forecasting tools.
What Kalshi Brings to CNBC
Prediction markets allow users to trade on outcomes of real-world events—from Federal Reserve decisions to election results. Kalshi operates under the Commodity Futures Trading Commission (CFTC) and brings regulated, real-time trading data that reflects collective market sentiment.
By embedding Kalshi’s data into its content, CNBC is betting that viewers want more than just opinions—they want numbers, probabilities, and trends. The integration is expected to enhance the network’s coverage by quantifying uncertainty and offering traders and investors new ways to assess risk.
Why This Partnership Matters
This move positions CNBC as a pioneer among mainstream financial media by embracing prediction markets as a credible forecasting tool. It could also elevate Kalshi’s profile, exposing its data to millions of CNBC viewers globally.
As the financial world increasingly looks for data-driven signals, this partnership could redefine how prediction markets are perceived and used in everyday investing and reporting.



