Original | Odaily Planet Daily (@OdailyChina)
Author | DingDang (@XiaMiPP)
Recently, prediction market platform Polymarket has reached an exclusive partnership with Dow Jones Media Group. According to the agreement, the real-time prediction probabilities provided by Polymarket will become the sole prediction market data source adopted across all consumer platforms under Dow Jones, covering its dedicated data modules, event pages, customized earnings calendars, and other sections.
Dow Jones Media Group owns renowned financial media outlets such as The Wall Street Journal (WSJ), Barron's, and MarketWatch, with The Wall Street Journal being one of the most credible media sources for global financial information dissemination. This means that in the future, ordinary readers browsing the news will not only see traditional expert analyses or opinion polls but will also have access to probability predictions based on "collective intelligence"—covering various scenarios such as elections, economic trends, and even cultural issues.
Moreover, this collaboration is expected to bring new changes to news reporting: prediction markets serve as a tool to supplement "truth," presenting a set of probability results formed by real-money博弈, providing the public with a more comprehensive and real-time reference for trend judgment.
Dow Jones: An Unusual "Mainstream Endorsement"
Unlike typical media collaborations, the symbolic significance of the Dow Jones Group may far exceed that of traffic or exposure. As one of the world's most influential financial news organizations, the primary audience of Dow Jones' media outlets is not the general public but institutional investors, professional traders, high-net-worth individuals, and policy and business decision-makers. This determines that its content system has always been characterized by prudence, conservatism, and verifiability, with extremely strict standards for selecting information sources.
From this perspective, the systematic embedding of Polymarket's prediction data into The Wall Street Journal does not merely represent product-level integration but also signifies recognition: prediction markets are no longer just tools for entertainment or speculation but have become information sources with certain reference value. At least within Dow Jones' editorial system, they have been placed in the context of "serious news" rather than gambling or marginalized platforms.
In fact, prior to Polymarket, Kalshi had already partnered with CNN and CNBC in early December: for example, CNN data analysts reference Kalshi's real-time probability data in their coverage of political and public events; CNBC displays Kalshi's brand ticker in some programs and integrates related content on digital platforms. Although these measures have brought prediction markets into the public eye, they are essentially fragmented multi-party collaborations.
In contrast, Polymarket's agreement is an integrated exclusive partnership: all platforms under the Dow Jones Group will uniformly adopt Polymarket as the sole data source, covering comprehensive embedding from print to digital content. Therefore, Polymarket's collaboration with Dow Jones Media Group is more exclusive and influential.
Why Now? Prediction Markets Proved Themselves in 2025
Although prediction markets have existed for several years, they only experienced explosive growth in 2025. Data shows that Polymarket and Kalshi achieved record-breaking performance in 2025, with cumulative trading volumes approaching $40 billion, and both companies' valuations reached billions of dollars. This scale of growth has transformed prediction markets from entertainment and speculation into financial infrastructure.
More importantly, during the 2024 election, Polymarket demonstrated higher accuracy (especially in swing states) than traditional polls. It early on priced Trump's probability of winning at over 95%, while many polls still showed a "close race." Over the past year, prediction markets have proven that monetary incentives filter out noise, forcing participants to "put their money where their mouth is," making incorrect judgments "costly." It is for this reason that prediction markets have truly gained the qualification to enter the mainstream information system. They are no longer simply seen as "gambling" but are regarded as efficient "collective intelligence aggregators."
Removing the "Gambling Label" Does Not Mean Completing Institutional Transformation
However, being accepted by mainstream media does not mean that prediction markets have completed their institutional transformation from "gambling forms" to "financial tools."
At the regulatory level, there are still significant divergences in this field. Taking Kalshi as an example, although it holds relevant licenses from the U.S. Commodity Futures Trading Commission (CFTC), in the eyes of some state regulators, prediction contracts are still considered gambling activities, especially in states like Nevada, where disputes over their legality continue. Recently, Kalshi lost a preliminary injunction to block enforcement actions by Nevada regulators before Thanksgiving and is applying to the court to continue blocking state regulatory actions during the appeal. The court's revocation of the injunction means that if Kalshi continues to operate in Nevada, it will face potential legal risks, including being deemed an illegal gambling platform and facing lawsuits. Nevada regulators accuse Kalshi of "engaging in illegal activities continuously" without a state gambling license and emphasize that similar companies like Crypto.com and Robinhood have agreed to suspend local operations during the appeal.
As for Polymarket, recent accurate predictions regarding U.S. actions against Venezuela have raised suspicions of insider trading, once again sparking discussions about regulatory gaps in prediction markets. Insider trading is illegal in traditional financial markets, but in prediction markets like Polymarket, it is unregulated, and there is currently no unified, clear mechanism to determine whether such behavior constitutes a violation.
Conclusion
The collaboration between Polymarket and Dow Jones does not mean that the regulatory issues of prediction markets have been resolved, but it at least sends a signal: prediction markets are being used by mainstream media as a new information tool and are gradually shedding the marginalized labels of gambling and betting platforms. When The Wall Street Journal starts displaying prediction probabilities, this transformation can no longer be ignored.
