Prediction Markets Were Supposed to Beat Politics. Now Campaign Insiders Are Trading Them
NPR reports that campaign staffers have been betting on political prediction markets such as Kalshi and Polymarket after seeing or hearing about non-public campaign information, including internal polling. Some staffers told NPR they made thousands of dollars by buying contracts on their own candidates before market prices moved. The story highlights a regulatory gray zone. Prediction markets are increasingly treated by journalists, political professionals and investors as real-time measures of campaign probability, yet they do not fit neatly into the same insider-trading framework that governs securities markets. Experts cited by NPR said the practice could raise manipulation or insider-trading concerns, but existing Senate rules and White House warnings do not appear to directly cover campaign staffers. That gap matters because prediction-market prices are becoming part of the political information ecosystem. If insiders can quietly trade ahead of public polling or campaign news, the market stops looking like collective wisdom and starts looking like another place where access gets monetized.
Prediction markets were sold as a cleaner signal than politics. That was the pitch. Let people put money behind their forecasts and the market will cut through spin, partisan wish-casting and media noise.
The NPR report on campaign staffers betting on their own candidates shows the weakness in that promise. Markets do not eliminate insider advantage. They price it.
If a campaign worker sees internal polling, hears about a strategic shift, or knows that a public story is about to move sentiment, that person has information the market does not yet have. Buying contracts before everyone else sees the signal may look like clever forecasting. In practice, it is the same old access game wearing a new interface.
This is why the story matters beyond a few staffers making money. Prediction markets are becoming part of the political information loop. Reporters cite them. Campaigns watch them. Donors notice them. Social media turns price moves into narrative. If those prices are partly shaped by people trading on private campaign information, the public is not getting a neutral forecast. It is getting a feedback loop built from asymmetry.
The regulatory gap is predictable. These markets are not traditional campaign finance. They are not exactly securities. They are not just polls. That ambiguity is the business model and the risk. The platform can say it is offering information discovery. The trader can say he is making a prediction. The campaign can say it has no formal rule against it. By the time everyone has described the loophole, the trust damage is already done.
There is also a practical political incentive here. Campaign staffers are often young, underpaid and surrounded by information that feels valuable. If the market offers a way to turn that information into cash, some people will take it. That does not require a grand scandal. It only requires human beings responding to incentives.
The problem is that political markets depend on perceived legitimacy. Their value comes from the belief that prices aggregate broad judgment. Once participants believe insiders are front-running private information, ordinary users will either stop trusting the prices or start assuming that the whole point is to chase insiders. Either way, the public-information value declines.
This is the pattern technology keeps repeating. A platform claims to disintermediate a broken institution. Then the same institution’s insiders learn how to use the platform better than everyone else. The tool does not abolish hierarchy. It gives hierarchy a faster settlement layer.
The fix should not be complicated. Campaigns should bar staff and consultants from betting on races they work on. Markets should require stronger disclosure and surveillance around politically exposed participants. Regulators should clarify whether trading on private campaign information is allowed before the practice becomes normalized. And media outlets should be more careful about treating prediction prices as democratic wisdom when those prices may reflect privileged information.
Politics already has enough ways for insiders to turn access into advantage. Prediction markets may still have value, but only if they confront the obvious: when money meets private campaign data, the market is not above politics. It is another arena where politics happens.