Even if the people running them really don’t want you to notice.
TL;DR
Prediction markets pitch themselves as “truth engines” and “the future of news.” In practice, they look a lot like gambling platforms wrapped in financial language, running through regulatory loopholes, and pointed at elections, wars, and policy decisions instead of just games.
Crypto makes them easier to build and access, but this isn’t an attack on crypto itself. It’s a question of incentives: when you pay people to bet on real-world events, you not only get better information, but also get addiction dynamics, insider trading temptations, and profit motives around outcomes that affect millions of people. At some point, that stops looking like market innovation and starts looking like a casino wired directly into politics.
The New Casino Comes With a Ticker and a Logo
If you only listened to the marketing, you’d think prediction markets were an epistemology upgrade.
Kalshi’s CEO talks openly about the long-term vision being to
“financialize everything and create a tradable asset out of any difference in opinion.”
Polymarket’s CEO has gone on TV calling his platform
“the most accurate thing we have as mankind right now”
And now those odds aren’t just living on some niche website. Dow Jones just signed an exclusive deal to pipe Polymarket data into The Wall Street Journal, Barron’s, and MarketWatch. CNBC and CNN have similar arrangements with Kalshi, bringing live probabilities for elections, economic data, and even weather into mainstream broadcasts.
If this feels familiar, it’s because we’ve seen this movie already. Sports TV used to be about the game. Then ESPN started putting betting lines on screen and, slowly, the viewing experience tilted toward parlays and odds.
Prediction markets are that logic applied to everything: elections, tariffs, coups, pandemics, pop culture. And just like sportsbooks, someone takes a fee every time you decide you “know” how the story ends.
What They Say They Are vs. What They Look Like
On paper, the pitch sounds almost noble:
- They’re not gambling; they’re federally regulated event contracts
- They aggregate dispersed information better than polls
- They give you the “news before it happens” by turning expectations into prices
That’s the story platforms like Kalshi and Polymarket tell regulators, investors, and journalists.
But if you look at how people actually use them, the picture is a lot more familiar.
- On Kalshi, sports now make up well over 90% of volume, according to data analyzed by third-party dashboards and industry coverage
- The American Gaming Association (not exactly a moral proctor) is running ads warning that “sports event contracts” on prediction markets are effectively unlicensed sportsbooks operating outside state gambling rules
- A federal judge in Nevada recently ruled that Kalshi’s sports contracts fall under state gaming regulation, rejecting the argument that CFTC oversight alone magically makes it “not gambling”
If you can bet on the same NFL game on DraftKings and on a “prediction exchange,” and the UX is “yes/no on Team X,” the clean conceptual distinction starts to melt. One calls it a “wager,” the other calls it a “binary event contract,” but the dopamine loop is identical.
Mechanically, it’s gambling. The difference is who you’re betting against (a house or other users) and which regulator is pretending this is something else.
The Part That’s Actually Worse Than Gambling
Now let me be clear: I’m pro-crypto. I like building markets. I think blockchains are useful infrastructure.
But there are a few aspects of prediction markets that feel darker than a normal casino.
1. The Veneer of Legitimacy
Casinos are upfront about what they sell: entertainment, variance, and the chance to lose money in exchange for a story. Nobody calls a blackjack table a “truth engine.”
Prediction markets lean hard on that language. CEOs talk about “distilling information and surfacing truth” and being “more accurate than polls.”
That framing matters. If you convince people they’re “trading information” instead of “placing bets,” you make it easier for them to justify bigger positions, spend more time on the platform, and ignore the fact that they’re in an environment designed to extract fees from their overconfidence.
You didn’t make gambling go away. You just put a suit on it.
2. Insider Trading as a Feature, Not a Bug
The most disturbing conversations in this space aren’t even about whether it’s gambling. They’re about whether we should want insider trading.
- Coinbase’s CEO recently floated the idea that for certain questions. For example, whether the Suez Canal will reopen on time. You “actually want some admiral sitting on a ship in the Suez Canal” trading, because that makes the signal more accurate
- Polymarket’s CEO has said that people having an “edge” is “a good thing” and “inevitable,” with markets adapting to it
Then came the Maduro trade.
A brand-new Polymarket account reportedly bet ~$30,000 that Venezuelan president Nicolás Maduro would be out of office by the end of January, the day before a U.S. operation removed him. The position paid out over $400,000, triggering a wave of insider-trading accusations and even a bill in Congress to ban federal officials from trading on prediction markets using non-public information.
Kalshi’s CEO rushed to support that bill and emphasized that his platform bans insider trading. Polymarket, by contrast, has no explicit blanket ban on trading with non-public information.
If your product’s edge over polls is “we attract people who know things others don’t,” then the line between “good information” and “illegal information” doesn’t just blur, it becomes a business decision.
We banned insider trading in securities markets for a reason. Prediction markets are trying to re-run that experiment on top of politics and geopolitics.
3. Profiting From Real-World Harm
Sportsbooks already let you bet on outcomes that don’t matter outside the stadium.
Prediction markets invite you to bet on wars, invasions, pandemic milestones, assassinations, coups, sanctions, and regime change just to name a few.
We’ve already seen contracts about invasions and military operations spark outrage when users fought over whether a particular raid “counted” as an invasion for payout purposes.
That’s the difference between a casino and this new model: you’re not just losing money if you’re wrong. You’re rooting (explicitly or implicitly) for events that can destabilize entire regions, because they’re “your side of the trade.”
The Regulatory Knife Fight
If you want a good sanity check on whether prediction markets are gambling, look at who’s fighting over them.
On one side:
The American Gaming Association is running ads warning that “sports event contracts” on CFTC-regulated platforms are backdoor sports betting and should only be allowed through licensed sportsbooks. Their polling claims 84% of Americans agree.
On the other side:
Kalshi, Crypto.com, Robinhood, Coinbase, and Underdog have formed the Coalition for Prediction Markets to lobby for “fair, safe, and open access,” i.e., don’t regulate us like casinos.
Both camps are running their own polls, writing their own op-eds, and pushing their preferred framing: “sports betting with better UX” vs. “new financial infrastructure.”
Meanwhile, regulators are split:
- The CFTC has fined Polymarket for operating an unregistered exchange and forced it to wind down non-compliant markets, then later allowed it back into the U.S. via intermediaries
- Courts have told Kalshi that some of its contracts do count as “gaming” and fall under state gambling rules
When an activity can be credibly described as both “financial derivative” and “sportsbook,” that’s not evidence of a new asset class. It’s evidence you’ve built a casino in a regulatory blind spot.
A Sane Way to Think About Prediction Markets
If we’re being honest, prediction markets are gambling mechanics on financial rails pointed at real-world events
They do have informational value. Traders and analysts do look at odds around elections, Fed decisions, or earnings as one input among many. Media partnerships with Dow Jones and CNBC exist because some of that data is genuinely useful.
But “sometimes informative” doesn’t mean “harmless.”
A realistic stance might look like:
- Treat them as vice products first. Age checks, loss limits, self-exclusion, and clear labeling that this is gambling, not guaranteed insight.
- Ban or tightly limit certain categories. No markets on assassinations, mass shootings, terror attacks; very careful treatment of wars and regime change.
- Hard rules on insider trading. If insider trading is illegal in equities because it’s unfair to the average participant, it doesn’t magically become okay because the underlying event is “election outcome” instead of “quarterly earnings”
Crypto can still power them. DeFi can still innovate around them. But we should at least be honest about what’s on offer: markets that feel like finance, behave like gambling, and only sometimes deliver the “truth oracle” their founders keep promising.
Conclusion
Prediction markets sit at a weird crossroads.
They borrow the UX of finance, the psychology of gambling, and the subject matter of politics and geopolitics
That combination is powerful. It’s also volatile.
I don’t think they should be banned outright. Markets can reveal information that polls miss. Odds can be a useful signal. And as someone who spends way too much time thinking about crypto and policy, I get the intellectual appeal of turning uncertainty into tradable risk.
But we should call the product what it is.
If you let people bet on everything (elections, coups, pandemics, wars) you are not just “measuring belief.” You are building a casino that monetizes our arguments about the future and takes a cut every time we disagree.
That’s not the end of democracy. It’s not the end of crypto. But it’s not just “the next generation of news,” either.
It’s gambling, in a suit, with a much longer shadow. Put a pig in a suit, it is still a pig.
Thank you for reading.
APL
Footnote
I’m long crypto and generally bullish on open financial infrastructure. I’ve made several trades on prediction markets during the 2024 American presidential election, and nothing here is financial, legal, or tax advice. This is a governance lens on how these platforms fit into the broader “casino-ification” of everything, not a recommendation to bet for or against anything, including prediction markets themselves.
Sources: Coffeezilla, NPR, RawStory, Webull, Reuters, Business Insider, IGB, AGA, Reuters, Barrons, Crypto.com, ReadTPA, CBS News
Prediction Markets Are Just Gambling was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
