Prediction Markets Kalshi, Polymarket Make Their Moves Into Podcasting.

Prediction markets are making a push into podcasting, with two of the industry’s biggest operators striking partnerships that suggest forecasting data may be emerging as a new content ingredient for publishers looking to deepen audience engagement.

Kalshi and Polymarket have announced podcast initiatives that integrate real-time market predictions directly into programming. While the partnerships target different audiences — sports fans in one case and pop-culture enthusiasts in the other — both reflect a similar strategy. They are turning prediction markets into a source of content rather than simply a destination for traders.

The latest move comes from Polymarket, which has teamed with Dear Media to launch “What Are the Odds?” a weekly podcast built around the platform’s prediction markets. The show will feature rotating hosts from some of Dear Media’s most popular podcasts, including Claudia and Jackie Oshry of “The Toast,” Amanda Hirsch of “Not Skinny But Not Fat,” and Heather McMahan of “Absolutely Not.”

The format is designed to blend celebrity news, viral internet moments, entertainment headlines and cultural trends with real-time forecasting data from Polymarket. Across 15-minute episodes, the hosts will discuss everything from celebrity relationships and awards races to blockbuster movies and internet drama while examining what market participants believe is likely to happen next.

“Our hosts don’t just cover pop culture — they help shape it,” Dear Media CEO Michael Bosstick says in announcing the show. “Pop culture moves fast, and partnering with Polymarket gives our hosts a new way to engage with the stories and conversations capturing people’s attention.”

This launch marks Polymarket’s first podcast partnership. But it has been testing the waters. Polymarket recently partnered with Dear Media for an on-site activation at Dear Media By Night, featuring a live trading game experience. Attendees engaged with the brand through interactive prediction-based moments tied to real-time event participation, generating more than 1,600 trades across approximately 550 attendees throughout the evening. As part of the activation, three winners collectively received $5,000 in prizes through the game.

Josh Tucker, Head of Creative Marketing at Polymarket, says their new podcast looks to real-time readings into conversations. “Our partnership with Dear Media marks a new chapter in how prediction markets capture the pulse of culture around the world,” he says.

The move follows a similar announcement from Kalshi, which is partnering with the Men in Blazers Media Network around this summer’s World Cup tournament.

The collaboration centers on “Night Cup,” a nightly recap show hosted by Roger Bennett and a rotating cast of celebrity guests. Beyond match analysis, the show will include a Kalshi-backed segment titled “Why Everyone Suddenly Believes,” which will use real-time prediction market data from Kalshi to track how public expectations shift as the tournament unfolds. Rather than focusing solely on final scores, the segment is built around a simple premise: the scoreline doesn’t always tell the full story. A team may win and see its title odds fall. Another may draw a match and become a stronger contender. A star player’s breakout performance or a key injury can dramatically alter how fans assess a team’s chances of lifting the trophy.

Kalshi says its markets offer a real-time window into those changing perceptions because participants are putting money behind their forecasts. The company argues that the resulting data captures not only what has happened on the field but how millions of people believe the tournament is evolving.

Taken together, the launches by Polymarket and Kalshi point to a broader trend in podcasting. Prediction markets have been largely associated with elections, financial events and sports betting-adjacent conversations. Now podcast publishers are exploring how forecasting data can enhance storytelling across a much wider range of content categories.

For podcast networks, that creates a potentially valuable editorial tool. Rather than relying solely on polls, social media sentiment or expert commentary, hosts can point to a live market that updates as new information emerges.