Picture two people at opposite ends of a bar. One is a day trader, laptop open, scanning derivatives markets for an edge. The other is a punter, phone in hand, placing a sports bet before the first bounce. For most of modern history, those two people have been in entirely different legal worlds. Kalshi, a Manhattan-based platform now valued at US$2 billion, wants to argue they are essentially the same person, and that this is a good thing.
The company, founded in 2018 by MIT graduates Tarek Mansour and Luana Lopes Lara, allows users to buy and sell binary "yes or no" contracts on real-world outcomes: will the Federal Reserve cut rates this quarter, will a particular team win a championship, will a foreign leader still hold power by a given date. Rather than launching offshore or operating in a grey area, Kalshi spent four years securing approval from the US Commodity Futures Trading Commission (CFTC), becoming the first federally regulated exchange for trading on future events. That process reportedly cost more than US$30 million in legal fees.
Mansour's central argument is deceptively simple. Unlike traditional sportsbooks, Kalshi does not act as the house. Users trade against one another, and the platform earns a transaction fee. That distinction, Mansour argues, fundamentally changes the incentives. In plain English: if a bookmaker makes money when you lose, it has a direct financial interest in your failure. Kalshi, in theory, does not. Today the platform processes tens of billions of dollars in annual trading volume across markets tied to inflation prints, Federal Reserve rate decisions, elections, weather events, and pop culture outcomes.
The growth numbers are striking. Kalshi has raised US$185 million in a funding round that values it at US$2 billion. One of its most significant growth catalysts was its integration with Robinhood, through which event contracts became accessible within the Robinhood trading interface, expanding visibility among retail brokerage users. The company has also signed formal partnerships with media outlets CNN and CNBC, potentially bringing betting odds into NFL television broadcasts. Mansour has described his long-term vision as wanting to "financialise everything and create a tradeable asset out of any difference in opinion."
There is a genuine intellectual case for prediction markets as information tools. Markets, Mansour argues, create accountability: when participants put money behind their beliefs, exaggeration becomes costly. Hedge funds increasingly incorporate Kalshi data into trading models, while policymakers and analysts watch event markets for real-time signals on economic expectations. The argument echoes the classical economic case for price signals: a market that aggregates millions of private judgements can be more accurate than any single expert, poll, or pundit. At a moment when trust in institutions and polling is fragile, that has real appeal.
But the critics are not simply protecting turf. At least nine US jurisdictions have issued cease-and-desist orders alleging that Kalshi is operating an unlicensed sportsbook. At the heart of the disputes is whether sports event contracts constitute state-regulated sports bets or fall under federally regulated futures contracts. Massachusetts filed a lawsuit accusing Kalshi of accepting sports wagers without a licence, and in January 2026 a Massachusetts Superior Court judge issued a preliminary injunction effectively banning the platform from offering sports-based betting within the state.
Critics argue these platforms blur the lines between investing and gambling, raising addiction risks, especially for younger users, and ethical issues including insider trading or profiting from tragedies. Those concerns are not merely theoretical. One insider trading case involved a candidate who traded on his own state office candidacy; another involved an individual who traded about US$4,000 on YouTube streaming markets while employed by a YouTube streamer, likely having access to non-public information. Kalshi also faces potential class action exposure after controversially settling its market on Iran's Supreme Leader Ali Khamenei at the last traded price rather than paying out full winnings, with a former New York legislator organising legal action on behalf of what he described as "tens of thousands" of affected users.
Concerns over election integrity and decreasing public trust in the democratic process caused by election betting have been raised by consumer advocacy groups and politicians. This is the dimension that tends to get lost in the dry regulatory debate. A democracy in which citizens can profit financially from a particular electoral outcome has, at minimum, a new and untested conflict of interest problem. Whether that problem is manageable or corrosive is a question that economists and political scientists are only beginning to examine seriously.
On the regulatory front, the picture in the US is shifting. Under new CFTC chairman Michael S. Selig, the agency announced it would withdraw a proposed ban on political and sports-related event contracts and draft new rules aimed at establishing "clear standards" for prediction markets. Federal district courts in Nevada and New Jersey have sided with Kalshi, finding that the Commodity Exchange Act pre-empts state gaming law. The legal scoreboard is mixed, but the direction of federal travel appears more favourable to Kalshi's model than it was two years ago.
For Australians, this is still a story playing out on another continent, but the economic logic of prediction markets does not respect borders. The Australian Securities and Investments Commission oversees financial market platforms in Australia, and Australian regulations require market operators to hold Australian financial services licences. Any expansion of prediction markets into the Australian market would trigger exactly the same jurisdictional questions that are consuming US courts right now: is this a financial product, a gambling service, or something genuinely new that existing frameworks were never designed to handle?
The honest answer is that it is probably all three, depending on the contract in question. Betting on the Reserve Bank of Australia's next rate decision feels meaningfully different from betting on a football score, which in turn feels different from betting on whether a foreign head of state will die. Treating all three as a single regulatory category, simply because they share the same technical structure, is the kind of categorical shortcut that tends to produce bad policy.
Kalshi's growth reflects a genuine market demand for new ways to price uncertainty, and that demand is not going away. The question for regulators is not whether to engage with prediction markets but how to draw lines that protect consumers, preserve democratic integrity, and leave room for genuinely useful financial innovation. That is a harder task than either the platform's cheerleaders or its fiercest critics are willing to admit. Both sides have legitimate points, and the eventual framework will almost certainly borrow from each.