The Inevitable Scrutiny Arrives
Congress has turned its attention to prediction markets, and if you’ve been watching this space long enough, you knew this moment was coming. The question was never whether lawmakers would start poking around the intersection of event contracts and insider trading — it was when. And now we have our answer.
The congressional interest centers on a straightforward but thorny problem: what happens when someone with material non-public information about real-world events decides to monetize that knowledge not through traditional securities, but through prediction market contracts? It’s the kind of question that keeps compliance officers awake and makes platform operators reach for their lawyers.
Here’s the thing about prediction markets that makes this different from your standard insider trading case. When a corporate executive trades on earnings information before it goes public, we have a well-worn framework. Decades of case law. Clear prohibitions. The SEC knows exactly what to do. But when a government staffer with advance knowledge of a policy announcement places bets on Kalshi’s regulatory fight or any other platform offering contracts tied to political outcomes? The legal terrain gets murky fast.
The Architecture of a New Kind of Problem
Traditional insider trading law rests on a foundation of fiduciary duty and misappropriation theory. You can’t trade on information you obtained through a relationship of trust. Simple enough in the world of stocks and bonds. But prediction markets operate in a different universe — one where the “underlying asset” isn’t a company’s equity but rather the outcome of an election, a Supreme Court decision, or whether a particular piece of legislation passes by a certain date.
The legal architecture wasn’t built for this. And Congress knows it.
What makes the congressional inquiry particularly significant is its timing. Prediction markets have exploded in both volume and visibility over the past two years. The 2024 election cycle saw Polymarket’s latest markets and domestic competitors handle unprecedented betting activity on political outcomes. That kind of growth inevitably attracts attention. Money always does.
The concern isn’t hypothetical anymore. Consider the mechanics: a congressional staffer working on a major policy initiative knows, days before any public announcement, that a particular outcome is virtually certain. Current law creates ambiguity about whether placing bets on that outcome constitutes illegal conduct. The staffer didn’t trade securities. They didn’t tip anyone about a company’s earnings. They simply predicted an event they had reason to know would occur — and got paid for being right.
What Regulation Might Look Like
Congressional scrutiny of prediction markets could take several forms, and none of them are mutually exclusive. The most direct approach would be extending existing insider trading prohibitions explicitly to cover event contracts. This would require defining what constitutes “material non-public information” in the context of government decisions, policy announcements, and regulatory actions.
That’s harder than it sounds. In securities law, materiality has a relatively clear definition tied to the reasonable investor standard. What’s material for a prediction market contract about whether the Fed will cut rates? Information that would move the probability by how much — five percent? Ten? Twenty? These thresholds matter enormously for enforcement, and getting them wrong creates either a law with no teeth or one that criminalizes ordinary political engagement.
Another approach involves disclosure requirements. Rather than banning informed trading outright, Congress could mandate that certain categories of government employees disclose their prediction market positions, similar to existing financial disclosure requirements. This transparency-based approach has precedent, but it also has obvious limitations. Disclosure doesn’t prevent the conduct; it just makes it visible after the fact.
The platforms themselves would prefer a third option: industry self-regulation with light federal oversight. Kalshi has already navigated a bruising regulatory battle with the CFTC to offer election contracts; the last thing they want is another front opening up on Capitol Hill. But self-regulation in the prediction market space faces a credibility problem. These platforms have every incentive to maximize trading volume, and some of that volume comes from people who know things others don’t.
The Deeper Question Nobody Wants to Answer
Underneath the policy debate lurks a more fundamental tension. Prediction markets derive much of their value precisely because they aggregate information — including information that isn’t yet public. That’s the whole point. A market where everyone knows exactly the same things isn’t a market; it’s just a lottery with extra steps.
The economist in me wants to argue that informed trading actually improves price discovery. When someone with genuine knowledge about an event’s likelihood enters the market, their trades move prices toward accuracy. The market becomes a better predictor. Society benefits from that improved information — at least in theory.
But the lawyer in me knows that argument doesn’t hold up when the informed trader is a government official betting on their own decisions. There’s something corrosive about a system where public servants can profit from the timing of their official actions. It undermines democratic accountability in ways that transcend narrow questions of market efficiency.
And here’s where it gets genuinely complicated: the line between “informed trading” and “corrupt self-dealing” isn’t always obvious. A staffer who bets on an outcome they’re working to achieve is clearly problematic. But what about a staffer who bets on an outcome in a completely unrelated policy area, based on general institutional knowledge about how things work? What about a journalist who covers politics and understands legislative dynamics better than the average person? At what point does expertise become exploitation?
Where This Ends
Congress asking questions doesn’t necessarily mean Congress doing anything. The legislative calendar is crowded, prediction markets aren’t exactly a top-tier issue for most voters, and the platforms have resources to mount serious lobbying efforts. This inquiry could easily fizzle into nothing more than a few uncomfortable hearings and some strongly worded letters.
But I wouldn’t bet on that outcome. The combination of visible money, government ethics concerns, and a genuine regulatory gap tends to produce legislation eventually. Maybe not this session. Maybe not even next year. But the pressure is building, and it only takes one well-publicized scandal — one staffer caught making six figures on advance knowledge of a major policy shift — to convert congressional interest into congressional action.
The smart platforms are already gaming this out. They’re beefing up compliance programs, restricting trading by certain categories of users, creating paper trails that demonstrate good faith efforts to prevent abuse. When the regulations come, and they will come, the goal is to have shaped them rather than been blindsided by them.
For now, prediction markets continue operating in something of a legal twilight zone. They’re legal, mostly. They’re regulated, sort of. And the question of whether betting on events you know will happen constitutes insider trading remains, for the moment, unanswered.
Congress is working on that.