CNBC Partners with Kalshi for Exclusive Real-Time Prediction Data
Mainstream media is shifting how it reports financial information as CNBC adopts Kalshi’s real-time prediction data across its platforms. The move shows prediction markets entering the same category once held by futures and volatility indexes during their rise in the 1990s.
Major newsrooms have chased new data sources this year. CNN already integrated Kalshi earlier, and CNBC’s decision strengthens the trend. Media now treat predictive data as a competitive advantage during times shaped by elections, economic uncertainty, and rapid policy changes.
CNBC Signs Exclusive Partnership With Kalshi
CNBC and Kalshi announced a multi-year partnership that introduces real-time prediction data into CNBC’s daily reporting. The deal gives CNBC exclusive access to Kalshi’s probabilities for its TV, digital, and subscription audiences. CNBC will use these signals to show how event odds shift across the economy, politics, and culture.
Kalshi has positioned itself as the largest prediction market in the world. The company created a regulated structure that lets users trade outcomes across many real-world categories. Traders buy and sell contracts tied to elections, economic releases, or trending cultural events. These markets move quickly as new information arrives, and they now inform both experts and the public.
CNBC plans to integrate Kalshi data into shows like Squawk Box and Fast Money. Producers will place a Kalshi ticker next to market indexes and commodities. This design shows event probabilities beside traditional financial indicators. CNBC also expects to add a dedicated Kalshi section on its digital platforms.
KC Sullivan, President of CNBC, said the partnership helps people understand fast-moving events. He said prediction markets offer useful insight during shifting economic moments. He also said Kalshi’s data gives CNBC a new tool for real-time coverage.
Tarek Mansour, CEO of Kalshi, said finance depends on real-world outcomes. He said the partnership signals a new era for predictive analytics in mainstream journalism. He also said the goal is simple: provide investors with accurate forecasts shaped by market activity, not speculation.
Media Shifts as Prediction Data Becomes a New Institutional Feed
Newsrooms increasingly treat prediction markets as core signals. The trend reflects a growing demand for real-time probabilities rather than delayed analysis. It also shows a shift in how readers and investors consume financial information.
Prediction markets now appear beside traditional macro indicators. Traders watch economic calendars, earnings reports, and geopolitical events. Now they also watch probabilities that show changing expectations. The integration by major news networks suggests this trend is becoming normal.
The timing also matters. Election cycles often create high uncertainty. Policy shifts can impact inflation paths, interest rates, and market sentiment. Prediction markets update instantly when new information breaks. This allows investors to see how expectations move before official releases arrive.
Industry analysts expect these data streams to expand into other financial tools. Brokerages could add prediction feeds to dashboards. ETF issuers might use event probabilities in future product designs. Terminals could place prediction charts next to currency pairs and bond yields.
Media companies want to meet that demand. They now view real-time predictions as essential information for general audiences. The shift moves predictive data out of niche communities and into everyday financial reporting. It also positions prediction markets as a bridge between public debate and market reaction.