The PR head of Kalshi stood before the microphone and declared: US states have no regulatory jurisdiction over prediction markets. Washington wastes taxpayer funds.
It was a clean, declarative shot across the bow of fifty sovereign regulators. But as a macro watcher, I do not chase the candle of press releases; I study the gravity of capital flows. And beneath the confident legal rhetoric, the structure is far shakier than it appears.
Kalshi is the only CFTC-regulated prediction market platform in the United States, a licensed designated contract market (DCM) that allows users to bet on event outcomes—election results, interest rate decisions, climate data. It is a centralized, KYC’d, bank-grade entity operating under federal commodity law. Its competitor Polymarket is decentralized, pseudonymous, and global, but it has deliberately restricted US users since a 2022 CFTC settlement. That asymmetry is the key to understanding this entire battle.
Context: The Liquidity Mirror
Prediction markets are tiny relative to global derivatives. Polymarket’s monthly trading volume peaked at around $2 billion during the 2024 US election cycle, while Kalshi’s figures remain undisclosed but likely sit in the tens of millions. Compare that to the $20 trillion notional on CME interest rate futures. The market is a rounding error. Yet regulators are obsessed with it because prediction markets challenge the boundary between gambling, commodity trading, and free speech.
Liquidity is a mirror, not a foundation. The mirror reflects the regulatory structure, not the other way around. In a bull market, when risk appetite is high and capital chases any edge, prediction markets thrive. But they are fragile: they depend on a single point of regulatory approval (CFTC) for their US legality, and that approval is constantly contested by state attorneys general who see them as illegal gambling that competes with state-run lotteries and tribal casinos.
Kalshi’s declaration is therefore not a legal argument; it is a liquidity strategy. By claiming federal preemption, it seeks to create a safe harbor for capital that otherwise would flee to offshore or unregulated venues. But this is a trap. Because if the states win, the entire market could be fractured into fifty separate jurisdictions—a nightmare of compliance costs that would destroy any hope of institutional adoption.
Core: First-Principles Analysis of the Jurisdictional Protocol
Let us break down the legal architecture as if it were a blockchain protocol. In any system, there are layers: state law (Layer 1) and federal law (Layer 2). The question is which layer has the authority to validate transactions—here, the transaction is a prediction contract between a buyer and a seller. The CFTC asserts that under the Commodity Exchange Act (CEA), all commodity-based derivatives, including event contracts, fall under its exclusive jurisdiction. However, the Act contains a saving clause that preserves state authority over “gambling” and “public policy.”
This is the classic scalability trilemma in blockchain: security, decentralization, and scalability cannot all be optimized simultaneously. Here, the tradeoff is between legal clarity, market access, and regulatory resistance. Kalshi’s approach sacrifices scalability (single federal license) for security (clear rules in one jurisdiction). But the states are attacking the consensus mechanism.
Based on my experience auditing token models and regulatory white papers during the 2017 ICO boom, I saw how projects that relied on a single legal opinion often collapsed when that opinion was challenged. The same pattern is repeating here. Kalshi’s legal team is well-funded and has a strong argument based on the Third Circuit’s decision in CFTC v. MyBigCoin, where the court held that binary options regulated by CFTC preempted state gambling law. But the key difference: MyBigCoin was about fraudulent options, not about the fundamental nature of the instrument. Prediction markets are structurally different—they settle based on real-world events, not on price discovery. That nuance opens a door for states to argue they are gambling, not commodities.
I do not chase the candle; I study the gravity. The gravity here is the economic incentive of states. In 2023, state lotteries generated $28 billion in net revenue for education and other programs. Prediction markets like Kalshi are a direct competitor. If a user can bet on the outcome of the Iowa caucuses with 2% spread, why buy a lottery ticket with 50% house edge? The states are not just defending their regulatory turf; they are defending a revenue stream. That is a force that no legal argument can easily overcome.
Historical Rhyme
History does not repeat, but it rhymes in code. In 2011, the FCC attempted to assert jurisdiction over the internet under Title II of the Communications Act. The telecom industry fought for state-level preemption, and the result was years of litigation that created a patchwork of rules. The same is happening here. If Washington state succeeds in banning Kalshi, California and New York will follow. The cost of compliance across fifty states would be astronomical—likely exceeding the entire prediction market’s total transaction fees for years. Kalshi may be forced into a settlement that restricts its operations to only a few states, effectively killing the market’s liquidity.
The Decentralization Trap
The contrarian view is that Kalshi’s victory would be a pyrrhic one for the crypto prediction market ecosystem. Polymarket operates without a US license, relying on its decentralized structure and the pass-through of smart contracts. If Kalshi wins and clearly establishes that CFTC has exclusive jurisdiction, then Polymarket and other non-compliant platforms become more vulnerable: they lack the very license that Kalshi relies on. The CFTC could then argue that any prediction market operating in the US without a DCM license is illegal. This would force Polymarket to completely block all US users, reducing its liquidity and user base.
Certainty is the enemy of the ledger. A clear federal rule would eliminate the regulatory gray area that allows Polymarket to exist. Ambiguity today is a feature, not a bug. It allows innovation to thrive in the cracks. The moment the bridge is built, the toll booths are erected.
Liquidity Consequences
Let’s run the numbers. If Kalshi wins, expect a short-term bump in trading volume as institutions dip their toes. But the bigger effect is structural: the market will bifurcate. Regulated prediction markets will handle high-profile, “important” events like elections and interest rates, while decentralized markets will handle everything else—sports, crypto prices, niche pop culture. That bifurcation reduces cross-market liquidity, which in turn increases slippage and decreases the incentive for market makers. The net effect is a smaller total addressable market than if the entire space were unregulated.
Liquidity is a mirror, not a foundation. It reflects the regulatory structure, not the other way around. In a bull market, capital might be forgiving, but in a bear market, these regulatory frictions become existential.
Contrarian Angle: The Hidden Cost of Legal Victory
Conventional wisdom says Kalshi is on strong legal ground and will eventually win. I disagree. The real cost is not the court case—it is the narrative war. Every state attorney general who files a lawsuit creates a headline that scares away mainstream institutional money. Even if Kalshi wins every suit, the legal fees could be in the hundreds of millions. The company’s valuation, if it ever seeks to monetize through a token or IPO, would be heavily discounted by this overhang.
Furthermore, the PR head’s statement that “states have no jurisdiction” is legally aggressive. It invites states to prove otherwise. In the legal world, you never want to be the one shouting loudest. That only ensures the other side doubles down. Kalshi would have been better served by quietly drafting multi-state agreements or seeking a federal legislative fix rather than issuing press releases that provoke opposition.
We are not building a future; we are auditing one. And the auditors are the attorneys general, each with their own political incentives. The prediction market industry is too small to mount an effective lobbying campaign against fifty states. The smarter play is to embrace state-level licensing, not fight it. But Kalshi chose confrontation. That is a strategic error.
Takeaway: Cycle Positioning
We are in a bull market. Euphoria masks structural weaknesses. Investors are piling into prediction market tokens like POLY and even memecoins associated with event betting. But the underlying regulatory risk is increasing, not decreasing. The Kalshi case is a canary in the coal mine. If you are allocating capital to this sector, you must price in the probability that within 18 months, prediction markets in the US could be either fully regulated (good for Kalshi, bad for Polymarket) or partially banned (bad for all).
My recommendation: overweight non-US prediction market platforms and underweight any project that relies solely on US compliance. The jurisdictional fault line is real, and it will not be resolved quickly.
I do not chase the candle; I study the gravity. The gravity here is pulling the market toward fragmentation. Keep your liquidity portable.