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Forbes is entering the prediction markets conversation — just not in the way most people might expect.
The media brand is preparing to launch ForbesPredict, a new platform that lets readers forecast outcomes tied directly to Forbes stories. No cash, no tokens and no trading accounts will be involved.
The idea is simple: Ask readers what they think will happen next, track how accurate they are over time, and surface those collective views in real time. It is a bet on engagement rather than speculation.
A prediction platform based on track records
ForbesPredict is built around reputation, not money. Readers will be able to make predictions related to business, politics, economics and other topics already covered by Forbes. Each prediction adds to a personal track record showing how often someone gets it right.
Those predictions are also rolled up into a broader view, giving readers a sense of where the Forbes audience stands on major questions. The platform is being developed with Axiom, a tech startup led by Jeff Yam, who also serves on Forbes’ executive board.
Think of it as a forecasting forum rather than a trading floor. The mechanics may feel familiar to anyone who has used prediction markets before, but the motivation is different.
A clear break from real-money markets
Most prediction platforms rely on financial incentives to drive participation. Sites like Kalshi and Polymarket use real money to determine probabilities. Forbes is deliberately stepping away from that model.
Company leadership has made it clear that Forbes readers are not showing up to speculate. They are there to stay informed, form opinions and test their understanding of complex topics. ForbesPredict is meant to fit that mindset.
Skipping real-money trading also avoids regulatory headaches. Offering cash-based prediction markets in the U.S. typically requires approval from the Commodity Futures Trading Commission, along with a compliance framework that would be heavy for a media company.
Financial media is still leaning in
Even without money on the line, Forbes is part of a broader shift. Prediction data is becoming increasingly attractive to financial publishers looking for new ways to engage readers.
CNBC recently partnered with Kalshi, while Polymarket struck a deal with Dow Jones. That agreement brings prediction market data into several Dow Jones properties, including The Wall Street Journal.
Forbes is taking a more homegrown approach, building its own system rather than relying on external market signals.
The engagement strategy behind ForbesPredict
The bigger picture is about how media companies measure success. Traffic and clicks matter less than they used to, especially as AI changes how people find and consume news.
ForbesPredict gives readers a reason to return, check outcomes and see how their thinking stacks up over time. It also gives Forbes something valuable in return: insight into what its audience actually believes about the topics it covers.
The beta version of ForbesPredict is expected to launch soon, with a wider rollout planned for the second half of 2026. No money will change hands, but attention, credibility and reader loyalty are very much in play.
