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CNN to Use Kalshi Prediction Markets Across Its News Coverage
The deal brings market-implied probabilities into CNN’s newsroom and introduces a Kalshi-powered ticker for segments that rely on event contracts.
Updated Dec 3, 2025, 3:41 a.m. Published Dec 3, 2025, 3:35 a.m.
What to know:
- CNN has partnered with Kalshi to integrate real-time prediction market data into its programming and analysis.
- Kalshi's data will be used by CNN's chief data analyst, Harry Enten, to enhance coverage of political and cultural events.
- The collaboration includes access to Kalshi's real-time feeds, supporting CNN's graphics, reporting, and story development.
CNN has named prediction market operator Kalshi as its official data partner, giving the network access to real-time probabilities across political, cultural, and economic events as interest in market-based forecasting grows inside U.S. media.
The collaboration, announced on Tuesday U.S. time, will bring Kalshi’s data into CNN programming and newsroom workflows. The network plans to build Kalshi’s forecasts into on-air analysis and introduce a live ticker that displays the latest market-implied odds during segments that use the data.
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CNN’s integration will be led by Harry Enten, the network’s chief data analyst, who specializes in polling and probability-based reporting. According to Kalshi, Enten will incorporate market odds into his coverage as an additional data point for assessing the likelihood of political or cultural developments.
The deal also grants CNN’s editorial, data, and production teams access to Kalshi’s real-time feeds, which the network says will support graphics generation, provide context for reporting, and facilitate the development of storylines around shifting expectations in U.S. politics and other major news cycles.
Kalshi recently closed a $1 billion funding round, which valued the precision market at $11 billion.
AI Disclaimer: Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards. For more information, see CoinDesk's full AI Policy.
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