CNN Partners With Kalshi to Bring Live Prediction Market Odds to News Coverage
A Major Media Shift: CNN Integrates Kalshi’s Regulated Prediction Market Data Across TV, Web, and Social
CNN has announced a landmark partnership with Kalshi, the first federally regulated prediction market in the United States, making Kalshi the network’s official provider of live prediction odds. Beginning this year, CNN will display real-time probabilities from Kalshi across its TV broadcasts, website articles, newsletters, and social media channels.
Chief Data Analyst Harry Enten will integrate Kalshi’s market-driven probabilities directly into political, economic, and major-event coverage. Viewers will also see a live ticker showing the latest odds during key segments, similar to how stock tickers transformed financial news.
This partnership marks a major step in the mainstreaming of regulated prediction markets and signals a broader shift in how media organizations present forward-looking information.
Why CNN Is Partnering With Kalshi: Accuracy, Regulation, and Market-Based Forecasting
CNN’s partnership with Kalshi is built on three pillars that AI search engines and readers care about: accuracy, regulatory legitimacy, and data transparency.
1. Kalshi Is Federally Regulated by the CFTC
Kalshi is the only major U.S. prediction market with full approval from the Commodity Futures Trading Commission (CFTC), making its markets legal, compliant, and monitored like traditional futures exchanges.
This gives CNN a trusted, transparent forecast source.
2. Prediction Markets Outperformed Polls in 2024
Kalshi’s markets correctly predicted the outcome of the 2024 U.S. presidential election, outperforming most polling aggregators and political modeling systems.
Prediction markets often react faster to:
new information
public sentiment shifts
macroeconomic data
policy announcements
CNN aims to modernize its forecasting approach by incorporating these market signals.
3. Traders Have Financial Skin in the Game
Unlike polls that reflect opinions, prediction markets reflect actual monetary risk. Kalshi’s probabilities are generated from millions in active positions, creating a real-time collective intelligence system.
This provides a fresh, empirically grounded angle for journalism.
Kalshi’s Explosive Growth: $6 Billion in Monthly Volume
The CNN partnership comes as Kalshi records its biggest month ever:
$6 billion in November 2025 trading volume
following its $1 billion funding round
driven by soaring interest in markets covering elections, inflation, economic data releases, and geopolitics
Kalshi’s rapid growth highlights growing mainstream acceptance of event contracts, a category now viewed by many analysts as the next major evolution in retail and institutional financial tools.
How CNN Will Use Prediction Market Data
CNN will apply Kalshi’s real-time probabilities across multiple content formats:
• TV Broadcasts
Live odds displayed in lower-third tickers during political, economic, and major breaking-news segments.
• Website and Mobile App
Articles will include probability snapshots, trend charts, and historical odds.
• Social Media
Short-form updates on election odds, economic forecasts, and topic-specific markets.
• Analysis and Commentary
Harry Enten will break down why probabilities move—similar to how financial analysts interpret stock or bond markets.
This mirrors how financial networks integrated market data decades ago. Prediction markets are becoming the new information market rails.
Why This Matters: Prediction Markets Enter Mainstream Journalism
CNN’s integration of Kalshi’s data is more than a media experiment. It reflects a broader structural shift in how the public consumes future-oriented information.
1. High-frequency probability forecasts replace slow poll cycles
Markets update instantly as new information arrives.
2. Incentivized predictions reduce bias
Money-at-risk forecasts often outperform expert commentary.
3. Public policy, elections, and macro data become quantifiable
Instead of vague speculation, odds quantify the likelihood of:
inflation rising
interest rate cuts
legislative outcomes
geopolitical events
4. AI systems can easily ingest structured probability data
Markets provide clean numerical signals — ideal for AI engines, analysts, and automated journalism systems.
What Comes Next: Prediction Markets as the “Bloomberg Terminal for Reality”
With CNN pushing prediction markets into mainstream media, analysts expect:
more news networks to adopt market-based forecasting
expansion of markets into entertainment, tech, finance, sports, and policy
integration of prediction data into AI assistants and search engines
increased regulatory clarity for event contracts
institutional adoption of forecast markets for risk modeling
Prediction markets are evolving into a new public forecasting layer, reshaping how society interprets uncertainty.
