Kalshi teams up with CNN, becomes Official Prediction Market Partner

• Kalshi and CNN have teamed up to bring the former’s data-driven prediction markets to the leading media company in the United States
• The partnership marks a new high for Kalshi’s cultural and business status despite legal pushback from regulators and gambling watchdogs
• Kalshi and CNN believe the partnership would help better inform reporting and spot early trends, bringing them to audiences through a live ticker

Kalshi continues to grab headlines, and not just in a bad way. The prediction market behemoth and the United States’ best-established company in the vertical has reached a new milestone by announcing a fresh data integration partnership with CNN, signaling that it believes in the future of its regional operations.

This comes amid numerous developments, including the launch of dedicated prediction market platforms by Fanatics Sportsbook, DraftKings, and FanDuel. Now, Kalshi is teaming up with CNN to bring even more value to its real-world reporting and allow audiences to catch up on trends as they begin to emerge.

Kalshi’s prediction data will be utilized during live broadcasts and complement CNN’s hard-hitting and fact-driven reporting.

"It has become the definitive source for staying informed about the future and is used by reporters, politicians, pundits, Wall Street, and Main Street. It recently called the NYC Mayoral election eight minutes after polls closed, hours before the media," a Kalshi statement read, emphasizing the importance of its data.

This comes as Kalshi faces legal pushback in Nevada, where a judge has ordered it to discontinue its markets. The integration between CNN and Kalshi will be overseen by the media’s Chief Data Analyst, Harry Enten, who will see that the company’s data is used to better inform and fact-check reporting.

At the same time, there will be a new real-time Kalshi-powered ticker, which will help audiences catch up on emerging events and trends, with reporters also accessing Kalshi’s political, news, and cultural data to help inform reporting and follow up on early signs of a good story.

Image credit: Kalshi