Kalshi strikes exclusive prediction data partnership with CNN | Yogonet International
Summary
CNN has signed an exclusive deal with Kalshi to integrate the prediction market operator’s real-time forecasting data across CNN’s TV, digital, streaming and social platforms. Kalshi will provide a live API feed driving an on-air ticker and internal newsroom tools for reporting, visuals and analysis. CNN will not pay Kalshi for the data; the network gains exclusive access that bars partnerships with competing prediction markets.
Kalshi — the largest federally regulated prediction market exchange — has been praised for speed and accuracy and recently closed a $1bn Series E that valued the company at $11bn. The partnership aims to give CNN journalists a forward-looking data layer to help interpret the probabilities of future events. The move comes alongside Kalshi integrations with Google Finance and Bloomberg, and amid political scrutiny because Donald Trump Jr. is an adviser to Kalshi and rival platforms.
Key Points
- CNN becomes Kalshi’s first television network partner and gains exclusive access to Kalshi’s real-time prediction data API.
- Kalshi data will power an on-air ticker and be available to CNN newsroom and production teams for reporting and visuals.
- CNN will not pay Kalshi for the data under the reported arrangement.
- Kalshi recently raised $1bn (Series E), boosting its valuation to $11bn and expanding integrations with Google Finance and Bloomberg terminals.
- The exclusivity clause prevents CNN from partnering with competing prediction market operators.
- The deal could attract political attention due to Donald Trump Jr.’s advisory role to Kalshi and rival firms.
Context and relevance
This partnership is significant for both media and markets. For newsrooms, it represents a shift toward incorporating market-based probability signals into daily reporting — moving from retrospective coverage to incorporating expectations about future outcomes. For prediction markets and fintech, it marks mainstream media adoption and offers Kalshi wide visibility and editorial use, potentially boosting user trust and commercial reach.
It also raises questions about editorial independence, the role of market-derived signals in shaping narratives, and how networks handle politically sensitive connections. The development fits wider trends: major financial platforms and publishers are increasingly using alternative data sources to inform audiences and investors.
Why should I read this?
Short version: if you care about how newsrooms will explain the future (not just the past), this matters. CNN’s move could normalise prediction-market data in mainstream reporting, shift how probabilities are presented on-air, and change which data sources shape public understanding. Plus, it’s big business news — Kalshi just raised $1bn and snagged a major media exclusive. Worth a quick skim if you follow media, markets or political coverage.