- Kalshi partners with CNN for enhanced news coverage.
- $1 billion funding round elevates Kalshi’s valuation to $11 billion.
- No direct link to cryptocurrencies; operates under federal regulation.
Kalshi, a U.S. federally regulated prediction market platform led by CEO Lasse Birk Olesen, announced on December 2, 2025, its partnership with CNN as their official prediction market data provider.
This alliance underscores growing institutional acceptance of prediction markets, enhancing news accuracy and bolstering Kalshi’s valuation to $11 billion following a significant funding round, though lacking direct crypto token impact.
Kalshi Partners with CNN
Kalshi has entered into a partnership with CNN to become its official prediction market. This marks a major milestone for the prediction market platform. Kalshi’s data will enhance CNN’s reporting capabilities with real-time insights.
“Kalshi’s data will serve as a powerful complement to CNN’s reporting,” highlighting the expected impact on news accuracy and real-time event probabilities. – Lasse Birk Olesen, CEO, Kalshi Kalshi News
Economic Implications
Under the leadership of CEO Lasse Birk Olesen, Kalshi secured a $1 billion funding round, elevating its valuation to $11 billion. CNN’s Chief Data Analyst Harry Enten will use Kalshi’s data in news programming.
The alliance impacts media reporting by increasing the accuracy of event predictions. There is no direct link to cryptocurrencies like ETH or BTC, as Kalshi operates under federal regulation rather than within decentralized finance.
This collaboration has economic implications, strengthening Kalshi’s market position. Regulatory compliance solidifies Kalshi’s status in the federally regulated financial space. This fosters institutional confidence in prediction markets as assets.
Future Outlook
Kalshi’s partnership with CNN underscores the growing influence of prediction markets in media. This arrangement ensures real-time probabilistic forecasts are used to gauge public events, showcasing prediction markets’ role in shaping industry standards.
Future financial and technological outcomes may include the wider adoption of prediction markets as financial instruments. Historical data suggests potential policy shifts aligning with increased demand for regulated prediction markets like Kalshi.
By focusing on transparency, not bureaucracy, MWXT delivers a governance model built on facts and function. It proves that in the modern AI-driven Web3 economy, real power comes from visibility, trust, and measurable performance, not votes.
