April 20, 2026
what are the tactics used by prediction markets to position themselves as prediction markets?
Prediction markets employ a multifaceted strategy centered on regulatory arbitrage, positioning themselves as financial instruments or news sources to circumvent state-level gambling laws [1, 2]. The core tactic involves arguing that their products are derivatives properly regulated by the Commodity Futures Trading Commission (CFTC) under the Commodity Exchange Act, which preempts state authority . This has created a jurisdictional conflict, with the CFTC asserting federal control and threatening to sue any state that attempts independent regulation [7, 21, 22, 30]. Meanwhile, states like New Jersey, Utah, and Nevada are prepared to litigate for the right to apply their own gambling laws, which are threatened by the markets' existence [7, 13]. This legal maneuvering, highlighted by Kalshi's successful lawsuit against the CFTC [3, 18, 19], is setting the stage for a significant regulatory showdown anticipated **around 2026** [1, 24].
To bolster their claim as information platforms, firms strategically cultivate a narrative that their primary utility is data consumption rather than active trading. Kalshi's CEO, for instance, claims that **98-99%** of users are observers who use market odds as a source of "probabilistic truth," competing with traditional polls and pundits [9, 14]. This framing justifies major distribution partnerships with media companies like CNN, CNBC, and Substack, as well as brokerages like Robinhood and Webull, which serve to educate and onboard a mainstream audience [1, 3, 14]. The goal is to create a "ChatGPT moment" for the industry, where prediction markets become a go-to source for understanding future events . However, this media integration raises ethical concerns about corrupting journalism by creating financial incentives for sources to trade on information rather than disclose it [1, 12].
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Beyond the retail user, a key tactic is the push for institutionalization to establish prediction markets as **a legitimate asset class** . Proponents like Thomas Peterffy of Interactive Brokers argue these markets offer a purer instrument for institutional investors to express views on macroeconomic and geopolitical events compared to traditional proxies like stocks or bonds [5, 15]. To capture this opportunity, firms are building vertically integrated financial ecosystems, including their own clearinghouses, to compete with established exchanges like CME . Interactive Brokers is pursuing a strategy of operating its Forecast Trader platform as a loss leader, focusing on economically significant contracts to attract its existing institutional client base and build liquidity . This deliberate move upmarket contrasts sharply with critics who dismiss the platforms as illiquid, "glorified penny stocks" .
A controversial and defining tactic is the industry's deeply ambivalent and at times **permissive attitude towards insider trading** . The positioning of markets as "the news, faster" creates a paradox where their value proposition relies on participants trading on non-public information [2, 27]. While some platforms have taken token enforcement actions, others like Polymarket openly embrace the practice, refusing to ban trading on sensitive events like armed conflicts or assassinations based on inside knowledge [1, 23, 29]. This normalization of insider trading, evidenced by trading patterns around military actions and even public acknowledgements by corporate CEOs , challenges the integrity of the markets and creates perverse incentives that could pollute the information ecosystem with monetized rumors [1, 27].
What the sources say
Points of agreement
- •Prediction markets are strategically positioning themselves as financial instruments under federal CFTC jurisdiction to avoid stricter state-level gambling regulations.
- •A core tactic is branding as 'news' or information platforms, with one CEO claiming 98-99% of users are information consumers, not active traders.
- •There is a push to institutionalize prediction markets as a legitimate asset class for investors to trade on macroeconomic and geopolitical events.
Points of disagreement
- •Platforms are divided on insider trading; some like Polymarket embrace it, while others like Kalshi have begun token enforcement actions.
- •Experts disagree on their value, with some viewing them as a breakthrough new asset class and others dismissing them as 'glorified penny stocks with no liquidity'.
- •Market entry strategies differ, with Kalshi targeting a mainstream retail audience while Interactive Brokers focuses on institutional clients with economically relevant contracts.
Sources
Prediction markets want to be the news | Decoder
This source details how prediction markets strategically frame themselves as 'news' to navigate a looming regulatory battle between the CFTC and states over gambling laws, creating ethical conflicts around insider trading.
How Kalshi Built a $2 Billion Prediction Market
This source outlines Kalshi's strategy of scaling through major brokerage partnerships and a pivotal lawsuit victory against the CFTC to legitimize its platform.
Weekend Law: Prediction Markets, the 'God Squad' and Social Media Addiction | Bloomberg Law
This source provides the core legal argument used by prediction markets: that they are derivatives subject to the federal Commodity Exchange Act, which preempts state gambling laws.
Thomas Peterffy on IBKR's Plan to Professionalize Prediction Markets | Odd Lots
This episode explains Interactive Brokers' strategy to establish prediction markets as a legitimate asset class for institutional investors, focusing on economically significant contracts.
Kalshi CEO Tarek Mansour on Raising $1BN, CNN and CNBC Deals & the Polymarket Feud
This source presents the CEO of Kalshi's view that his platform is primarily a media and data company for information consumption, which justifies its partnerships with major news networks.
These Are the Stocks to Buy In 2026 | TCAF 225
This source provides a skeptical expert view, describing prediction markets as illiquid gambling instruments and advising investors to own real assets instead.
Related questions
What specific ethical guardrails are media partners like CNN and Substack implementing to prevent the spread of monetized rumors from prediction markets?
→How are states like New Jersey and Utah quantifying the potential loss of gambling tax revenue that drives their opposition to prediction markets?
→Beyond CEO claims, what data exists to validate the 98-99% information consumer versus 1-2% active trader user breakdown, and how does this vary across platforms?
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