Key Takeaways
- Media companies are adopting prediction markets to give audiences clearer event probabilities and create more interactive ways to follow political, financial, and sports stories.
- Platforms like Polymarket, Kalshi, and custom-built tools help publishers present real-time expectations that add context to elections, markets, and entertainment events.
- Partnerships allow outlets to blend editorial judgment with crowd-based forecasting, which strengthens engagement and supports new data-driven content formats.
- Prediction markets shape how readers discuss future outcomes, offering publishers a practical method to present forward-looking insights with stronger clarity and participation.
2025 saw prediction markets steadily move from a niche interest to a familiar part of how people follow news, policy, and markets. High-profile political contests, sports events, and macroeconomic releases have introduced everyday users to event contract platforms such as Polymarket and Kalshi.
What once felt like an experiment for traders and hobbyists now appears across social feeds, finance tools, and major media brands. Now, media companies are stepping in. Rather than simply report on markets, they are embedding prediction‑market functionality directly into their platforms.
In this article, we explore influential media outfits that are building or integrating prediction‑market tools – who they are partnering with, what exactly they’re launching, and why this matters for the future of media.
7 Media Companies Embracing Prediction Markets
| Company | Integration Summary | Key Notes |
|---|---|---|
| Truth Social / TMTG | Truth Predict introduces event-contract trading across politics, economics, and sports, allowing users to turn opinions into measurable forecasts. | Developed with Crypto.com, launched in beta during 2025, and designed to generate real-time sentiment from the Truth Social community. |
| Yahoo Finance | Yahoo Finance embedded Polymarket pricing into its reporting, placing probabilities next to market news and video explainers for clearer interpretation. | The collaboration gives readers direct access to crowd expectations and strengthens context around economic and financial stories. |
| X | X integrated Polymarket data into its feed, presenting live forecast movements with Grok providing explanations based on social activity. | The partnership introduces a combined view of market expectations and user commentary, with additional integrations planned. |
| Google / Google Finance | Google is adding Polymarket and Kalshi event-contract probabilities to Finance and search tools, allowing users to query outcomes with numerical clarity. | The integration presents forecasts as collective expectations and expands access to predictive signals for everyday finance users. |
| Sports Illustrated | Sports Illustrated developed SI Predict with Galactic to offer peer-driven forecasts on entertainment and sports-related scenarios in a social format. | The product encourages active participation through event-based questions that give fans a sense of involvement in unfolding storylines. |
| FanDuel / CME Group | FanDuel Predicts, created with CME Group, provides a standalone venue where users can trade event contracts tied to sports, indices, commodities, and economic data. | The partnership combines FanDuel’s consumer experience with CME’s derivatives knowledge to present structured event-contract trading. |
| CNN / Kalshi | CNN will integrate Kalshi’s prediction-market data directly into its live news coverage, making real-time event probabilities part of its on-air and digital reporting |
The partnership reflects a broader trend toward using market-based probabilities to improve news forecasting and reduce speculation. |
Truth Social / Trump Media & Technology Group
The platform run by Trump Media & Technology Group (TMTG) introduced a prediction‑market product called Truth Predict. This feature allows users to trade event contracts on politics, economics, and sports. Through Truth Predict, individuals can quantify their views on future outcomes, turning commentary into collective data.
TMTG built this market in partnership with Crypto.com, bringing in blockchain-based wallets and transactional security. By late 2025, the product was in beta, gathering user feedback and liquidity. The company argues that Truth Predict democratizes information. By enabling people to place their own predictions, it leverages the crowd’s wisdom about what might come next.
On the user side, Truth Predict offers more than just betting. It creates real‑time sentiment data reflecting how the Truth Social community views political or economic developments. For TMTG, the payoff is deeper engagement: people no longer just comment or react, they contribute to a measurable collective forecast.
Yahoo Finance
Yahoo Finance deepened its prediction‑market presence through an exclusive partnership with Polymarket. Real‑time event‑contract odds now appear alongside economic and financial reporting. In addition, Yahoo produces video content with Polymarket to explain market dynamics, helping its readers interpret what the odds mean.
Here are some features of the collaboration:
- Market pricing from Polymarket appears directly in Yahoo Finance’s interface.
- Yahoo’s editorial team uses prediction‑market data to frame articles about sentiment and probability.
- Polymarket and Yahoo produce co‑branded content, making markets more accessible to a mainstream audience.
This union gives Yahoo a richer data set. Instead of just reporting what has already happened, it can highlight what the crowd thinks will happen. That insight helps their readers follow not just traditional market moves but probabilistic futures.
X
Previously known as Twitter, the platform recently struck a high-profile deal with Polymarket, naming it as its official prediction‑market partner in June 2025. Their first integrated product brings Polymarket’s prediction‑market data directly into X’s feed, enhanced by real‑time annotations powered by Grok, X’s AI.
The way it works: Polymarket predictions and probabilities feed into X. Then Grok analyzes X posts and commentary, offering context for why a market might be shifting. That combination builds a bridge between crowd forecasts and social conversation.
X and Polymarket are planning more collaborations. This integration is only the first of a series of joint initiatives. For X users, this means participating in forecasting not just as consumers of news, but as contributors to a real‑time sense of future probability. For Polymarket, it delivers access to a vast, socially engaged audience.
Google / Google Finance
Google plans to add prediction markets into its financial tools by integrating Polymarket and Kalshi data into Google Finance and search. It will allow users to type in questions such as “what is the probability of a rate hike?” or “what are the odds of a recession next quarter,” and they will see market‑derived probabilities.
The planned integration will event contracts as data rather than bets. Google frames them as insights into collective expectations, helping users make sense of what crowds expect. In doing so, Google adds a predictive layer to its finance interface, enriching it with forward-looking sentiment.
By partnering with Polymarket and Kalshi, Google also unlocks a powerful feedback loop. Its users will benefit from transparent, probabilistic forecasts, while prediction‑market platforms gain reach into traditional finance audiences. The blend of AI, search, and market data will turn Google Finance into a more interactive and insightful space for both casual users and informed market watchers.
Sports Illustrated
The Sports Illustrated fanbase is set to access predictions markets via a product called SI Predict, built in partnership with Galactic. Unlike typical sportsbooks, SI Predict features peer‑to‑peer event contracts, focusing on lifestyle and entertainment angles around sports.
Some of the kinds of questions fans can engage with:
- Will a particular player hit a statistical milestone in an upcoming game?
- Will a celebrity attend a match?
- Which team will be favored in fan polls after a trade?
SI Predict operates more like a futures exchange than a betting site. It emphasizes social prediction over gambling. Through Galactic, SI Predict provides a platform where fans can voice their expectations, watch how the crowd trades, and feel that they are part of the story – beyond just being viewers.
The benefit goes both ways: readers become more engaged, and SI builds a new layer of interactivity. By letting fans express beliefs in a tradable way, Sports Illustrated is transforming passive consumption into participatory forecasting.
FanDuel / CME Group
Together with CME Group, FanDuel is launching a standalone app called FanDuel Predicts, expected to go live in December 2025. It will allow users to trade event contracts on a variety of outcomes, not just sports.
FanDuel Predicts offers familiar risk-management tools: deposit alerts, educational content on event contracts, and spending tracking. CME Group contributes derivatives-market experience, which ensures that the event‑contracts mechanism is robust and compliant. FanDuel brings its mobile-first consumer expertise.
CNN / Kalshi
CNN recently entered an exclusive partnership with Kalshi, embedding live prediction-market probabilities into its news coverage across TV, streaming, and digital platforms. Under the deal, CNN will display a real-time ticker of Kalshi’s event-contract odds and allow anchors and correspondents to reference market-implied probabilities during political, cultural, and even weather reporting.
For Kalshi — valued at around $11billion — the alliance represents its first major media integration and an opportunity to position its markets as a mainstream source for forecasting future events. This move reflects a growing trend of blending financial-style event forecasting with journalism, and signals a shift in how newsrooms may cover the future: not just by reporting facts, but by including real-time probabilities grounded in collective market sentiment.
Why Are Media Companies Interested in Prediction Markets?
Media companies are increasingly drawn to prediction markets because they deliver more than entertainment. These platforms:
- Surface real‑time sentiment – Editors and analysts can see what crowd expectations are, not just what happened.
- Boost engagement – Users participate directly, which deepens loyalty and encourages repeat visits.
- Generate predictive content – Journalists can write not only about events but also about how likely future events seem according to the crowd.
- Provide a new inncome stream – Where the media platform manages the prediction market ‘in-house’, they also benefit from profits generated by user predictions.
Prediction markets also help differentiate media brands. As traditional outlets compete just on news volume and speed, offering forward‑looking markets gives them a distinct edge. They create a product that encourages interaction, conversation, and participation. For users, the draw is obvious: they get to place a “vote” on future outcomes and watch what happens, in a structured way.
How Might Prediction Markets Affect the Future Media Landscape?
Prediction markets may reshape media in several fundamental ways. First, they can usher in predictive journalism: coverage that integrates real‑time market probabilities into reporting. Stories will not only describe what happened, but also how likely certain futures seem.
Second, audience participation becomes more than engagement – it becomes a shared forecasting experience. Readers and viewers contribute to markets, track trends, and feel part of a collective insight engine. That level of participation strengthens trust and loyalty.
Third, these markets might open up new revenue lines. Media companies could monetize via sponsorships, white‑label market features, or content built around contract flows. For example, if two music artists are competing for an award, media platforms could run coverage of the race and financially benefit from doing so by letting their readers place predictions on the outcome. Instead of relying purely on ad models, they build deeper products that align with users’ curiosity about the future.
Finally, prediction markets may provoke new formats. We could see hybrid shows where hosts analyze real‑time contracts. Or newsletters that break down emerging odds. Over time, these market-based features could become as natural to media as commentary or data graphics.
How to Read This List
The seven examples above sit on a spectrum: some are full integrations where the prediction-market product lives inside the publisher’s app and shares its data layer (the Kalshi-with-Bloomberg-style pairings), others are co-branded surfaces with the market provider doing the heavy lifting, and a few are looser editorial partnerships where the publisher just borrows market odds for context inside articles. When deciding whose model is most relevant to your own outlet — or whose offering to actually use as a reader — three things matter: who is the underlying market operator (Polymarket and Kalshi behave very differently under US regulation), how the contracts are settled and disputed, and whether the publisher is taking an affiliate cut, a build-fee, or a revenue share. The category is moving quickly. Expect the leaderboard to look different in six months.
