CNN has officially named Kalshi as its exclusive prediction market data partner, marking a significant step in how traditional media outlets incorporate market-based forecasting into their reporting. This partnership enables CNN to access real-time probabilities across political, cultural, and economic events, enhancing the network’s ability to deliver data-driven insights to its global audience.
The collaboration integrates Kalshi’s prediction market data into CNN’s television, digital, and social media channels. CNN viewers will notice a new Kalshi-powered ticker during segments that rely on event contracts, displaying real-time odds and market-implied probabilities about future events.
CNN partners with Kalshi to integrate prediction markets into its global newsroom.
— Kalshi (@Kalshi) December 3, 2025
The first major news network to embrace Kalshi prediction markets.
A new era of media is here. pic.twitter.com/uXLlWVLjQs
How the Integration Works: Data-Driven Journalism in Action
CNN’s chief data analyst, Harry Enten, will spearhead the integration of Kalshi’s prediction market data. Known for his expertise in polling and probability-based reporting, Enten will incorporate market-implied odds into his coverage as an additional data point for assessing the likelihood of political and cultural developments.
The partnership grants CNN’s editorial, analytics, and production teams access to Kalshi data through a real-time API interface. This technical integration enables journalists to create data-visualizations, provide contextual analysis, and develop comprehensive storylines related to evolving expectations in politics and other key news cycles.
Unlike traditional reporting that relies primarily on expert opinions or polling data, prediction markets offer a ‘wisdom of the crowd’ approach. These markets aggregate the collective knowledge of participants who put real money behind their predictions, often resulting in forecasts that outperform traditional methods.
CNN will use this data across multiple platforms, including its linear broadcast, digital properties, and a new streaming subscription platform. The network plans to use prediction market data as a tool for fact-checking and providing additional context to news events.
Media outlets primarily report on events that have already occurred or are currently unfolding… With prediction market data, CNN can help audiences interpret various scenarios more accurately.
Tarek Mansour, CEO and co-founder of Kalshi
A Growing Trend in Media: Prediction Markets as News Tools
CNN’s partnership with Kalshi reflects a broader trend in the media industry, as news organizations increasingly incorporate prediction markets into their reporting frameworks. In recent months, several major media outlets have formed similar partnerships: Yahoo Finance integrated Polymarket data, while Sports Illustrated and Time launched collaborations with Galactic.
These partnerships offer several advantages for news organizations. First, they provide a quantifiable metric for event probability rather than relying solely on qualitative expert opinions. Second, they create new opportunities for audience engagement, as viewers can compare their own expectations against market consensus. Finally, prediction markets can serve as an early warning system for emerging trends or shifts in public sentiment.
The integration of prediction markets into newsrooms does raise important questions about editorial standards and regulatory considerations. News organizations must establish clear policies regarding how market data is presented and contextualized. They must also work closely with regulators to ensure that prediction market integration maintains audience trust and complies with applicable regulations.
The Future of Data-Driven News
The CNN-Kalshi partnership signals an evolution in how news organizations approach forecasting and probability. By incorporating market-implied probabilities into their reporting, media outlets can provide audiences with an additional layer of information about potential future events.
As prediction markets continue to mature as financial instruments, we can expect to see more news organizations adopting similar approaches. The integration of these tools into mainstream media represents a significant shift toward more data-centric journalism.
For viewers and readers, this trend promises more transparent and quantifiable reporting on future probabilities. Rather than relying solely on pundit opinions, audiences gain access to market-based assessments that put real financial stakes behind predictions.
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