Puebla Parade

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The news comes as prediction market operators continue to form alliances with major media outlets. These deals allow news outlets to embed event contract data into their reporting and offer prediction platforms more visibility to investors and news audiences. 

Polymarket has developed its media presence elsewhere. In January, it signed a deal with Dow Jones to provide its prediction market data to several of the publisher’s consumer platforms. The deal covers publications including The Wall Street Journal, Barron’s, MarketWatch and Investor’s Business Daily.

Prediction markets have become more and more intertwined with sports and entertainment businesses. Polymarket has agreements with Major League Baseball and Sportsradar. Sportsradar provides data and services for more than 20 sports leagues and competitions. 

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Following the decision, the odds of one additional rate hike this year jumped to 48% on Wednesday afternoon on Polymarket. The contract asks traders to predict whether the upper bound of the Fed Funds Rate will hit 4.25% by the end of 2026. There is now a 21% chance that the Fed will stand pat for the remainder of year, with a slightly lower probability that the upper bound will reach at least 4.5%.

According to Multiples.VC, the average enterprise multiple (EV/EBITDA) of top US-listed gaming companies is currently 10x. Data from New York University last updated in January pegged the overall market average at 23.9x and 19.7x among EBITDA-positive firms, suggesting the sector is undervalued relative to other industries. In a report released Monday, Fitch Ratings said most North American gaming companies hold “Stable” outlooks with “adequate rating headroom” despite consumer headwinds.

Macquarie’s Beynon agrees with that sentiment, pointing to the relative stability of gaming companies through tough economic stretches such as the Covid-19 pandemic. Bankruptcies in the sector have been low relative to the broader market, he notes, and both land-based and digital companies have reason for optimism moving forward.

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The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.

“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”

The 2026 tournament demonstrated why Kambi believes this total integration of AI is necessary. Sportsbooks are no longer built primarily around match results and traditional pre-match markets. Bettors increasingly expect to construct wagers around individual players and specific moments within a game.