CNN has entered a landmark partnership with prediction market platform Kalshi, becoming the first major newsroom to integrate real-time probability data directly into its coverage across TV, digital, and streaming platforms.
Kalshi — described as the world’s largest global prediction market company — said this marks its first major media partnership. Its CEO, Tarek Mansour, told Axios that the data integration will help newsrooms shift from simply covering what has happened to offering clearer insight into what may happen next.
How It Works
Through a live data interface, CNN will display Kalshi probabilities through:
- A real-time on-air ticker
- References by anchors and correspondents
- Integrated data in digital articles and social media posts
CNN’s chief data analyst Harry Enten will spearhead the rollout, using Kalshi numbers during on-air political and cultural analysis. Other journalists across the network will use the data for deeper reporting and fact-checking.
Importantly, CNN is not paying to license the data. The partnership is exclusive, meaning no other prediction platforms will be integrated into CNN’s reporting.
Why Kalshi?
Prediction markets have surged across media this year. Yahoo Finance partnered with Polymarket, while Sports Illustrated and Time struck deals with Galactic. But CNN’s partnership is the most prominent move yet, arriving as Kalshi announces a new $1 billion raise at an $11 billion valuation, its third fundraising round this year.
Kalshi’s spokesperson Elisabeth Diana said prediction markets offer a uniquely accurate signal:
“People are trading on what they think will happen, not what they want to have happen.”
A New Era of Data-Driven News
Sam Felix, CNN’s SVP of strategic partnerships, said the collaboration will add “a fresh, data-based angle” to help viewers better understand world events.
As prediction markets become a larger part of media and finance culture, CNN’s bet signals a major shift toward probabilistic journalism—bringing Wall Street-style forecasting directly into the daily news cycle.
