Kalshi and Polymarket are racing to ban insider trading. The economist who built the theory behind prediction markets says it’s the whole point

Prediction markets are facing mounting legal and regulatory pressure, including DOJ charges against a U.S. Army soldier accused of using classified information to bet $33,000 on Polymarket and then cashing out about $400,000, plus Kalshi fines and suspensions of three federal candidates for insider trading. In response, Kalshi and Polymarket have tightened trading restrictions on politicians, athletes, and employees. The article argues this is the wrong approach and frames insider participation as necessary for price discovery, but the immediate market effect appears limited to platform-specific sentiment and regulation risk.

Analysis

The immediate loser is the platform model itself: prediction markets rely on a delicate legal arbitrage between “information discovery” and “unauthorized disclosure,” and that line is now getting tested case-by-case rather than tolerated as a generalized feature. That raises compliance costs, narrows addressable user cohorts, and likely shifts the best-informed participants to less transparent venues or off-platform coordination, which paradoxically reduces price quality while increasing headline risk. In the near term, the biggest winner may be incumbent media and polling shops, because any meaningful clampdown lowers the odds that markets become the default real-time truth mechanism for politics and event-driven news.

The second-order effect is a reputational reset: regulators are unlikely to ban prediction markets outright, but they can make them materially less useful by forcing ex-ante restrictions on the very users who improve price discovery. That is a bad mix for liquidity and spread compression, especially in thin markets where a handful of informed accounts can dominate marginal price formation. If the industry responds with stricter identity controls, it may satisfy regulators but at the cost of lower participation from precisely the higher-value traders who make the ecosystem worth paying attention to.

The broader contrarian point is that the market may be overpricing the durability of the current growth curve. The thesis that prediction markets will become a mainstream information layer assumes regulatory tolerance, but the political optics are moving in the opposite direction: insider-trading narratives are easy to explain, easy to prosecute, and hard to defend. Expect the next 3-6 months to be driven more by enforcement precedent and state-level limitations than by user growth metrics; the risk is not a one-day shock, but a slow suffocation of product-market fit through compliance friction.

For investors, the key is that this is less about direct earnings impact today and more about multiple compression risk for any fintech platform whose growth story depends on policy permissiveness. If the market starts discounting a narrower, more gamified product rather than a broad information utility, valuation should reset quickly. The upside catalyst would be a court ruling or CFTC clarification that draws a cleaner line around permissible insider participation; absent that, the path of least resistance is tighter controls and lower engagement quality.

Key Decisions for Investors

• Short high-beta private-market proxies tied to prediction-market expansion at any financing opportunity; if no direct ticker exposure exists, avoid paying growth multiples for adjacent fintech platforms with regulatory overhang for the next 3-6 months.
• If publicly listed platforms with event-contract exposure rally on user-growth headlines, fade the move with a 1-3 month short or put spread: regulatory friction is likely to hit engagement and take rates before it shows up in revenue.
• Pair trade: long legacy information intermediaries / data providers versus short fintechs whose value proposition depends on unencumbered market participation; the market is likely to overestimate how quickly prediction markets can substitute for polling and media.
• Buy downside optionality on any listed platform that markets itself as a broad retail “truth engine”; use 3-6 month puts or put spreads to capture multiple compression from enforcement headlines rather than trying to forecast outright revenue misses.
• Monitor for a reversal catalyst: any CFTC or court decision preserving insider participation under narrow rules would be a tactical buy signal for the sector, but size it as a trading bounce, not a durable rerating.