Once considered a niche pursuit for tech enthusiasts, prediction markets fully entered the mainstream by early 2026. On one hand, they have become national security tools: the Israeli military used Polymarket to successfully track down a mole leaking military secrets. On the other, they have rapidly penetrated traditional finance and the sports industry. Regulatory-compliant giant Kalshi saw its monthly trading volume approach $10 billion and began offering sports risk hedging services to institutions. From battlefield intelligence to team bonuses, prediction markets are reshaping how we perceive the value of information.
Hard Evidence for Intelligence Agencies: The Israeli Mole on Polymarket
The unfair advantage brought by insider information has long been a controversial issue for decentralized prediction platforms like Polymarket. This time, the controversy escalated into criminal charges.
On February 12, the Tel Aviv District Court indicted an Israeli civilian and a reserve member of the Israel Defense Forces, charging them with profiting from confidential military information by placing bets on Polymarket. This marks the first publicly confirmed arrest involving the use of military secrets for prediction market trading. According to a joint investigation by Israel’s national security agency, these reservists directly monetized sensitive information they accessed in their roles—including the timing of military operations—by turning it into wagers.
Although legal restrictions prevented the full disclosure of account details, the community had already flagged an unusual account named "Rundeep." Since June 2025, this user achieved a 100% win rate on six predictions related to Israeli military actions, with five of those bets placed when the probability was below 50%. The account ultimately netted over $150,000 in profits.
Stanford Law Professor and former SEC Commissioner Joseph Grundfest commented, "Such bets put the military at greater risk because you’re signaling to the enemy what might happen next." While Polymarket’s offshore exchange is not directly regulated by U.S. authorities, this incident has sounded a global alarm: on permissionless blockchain prediction markets, intelligence can be monetized more quickly than ever before.
The New Institutional Arena: Kalshi and the Commercialization of Sports Risk Hedging
If Polymarket’s case reveals the "gray fangs" of prediction markets, Kalshi’s progress showcases their highly compliant and commercial "golden wings."
Also on February 12, Kalshi CEO Tarek Mansour announced a partnership with brokerage Game Point Capital, officially entering the institutional sports risk hedging sector. Game Point Capital issues hundreds of millions of dollars in sports insurance annually, focusing on performance bonus guarantees for teams and players. Through its collaboration with Kalshi, teams can now hedge against massive bonus payouts triggered by making the playoffs or winning championships.
This is more than just gambling—it’s sophisticated financial engineering. Mansour revealed that Game Point executed its first hedging trades for two NBA teams on Kalshi last week. One contract hedging playoff bonuses was priced at 6% on Kalshi, while the over-the-counter (OTC) market quoted 12–13%. Another contract for advancing to the second round was priced at just 2% on the exchange, far lower than the 7–8% OTC rate. "Exchanges are a better choice because they increase liquidity and foster competition," Mansour said.
These efficiency gains are clearly reflected in the numbers. Kalshi’s trading volume reached $9.6 billion in January, up 45% from $6.6 billion in December. On Super Bowl Sunday alone, the platform’s trading volume surpassed $1 billion. According to Sensor Tower, Kalshi set a new record for single-day downloads during Super Bowl weekend, and its advertising spend during the NFL season was even 35% higher than that of traditional giant DraftKings.
Explosive Growth and Regulatory Tug-of-War
The industry’s boom goes even further. According to blockchain security firm CertiK’s Skynet Prediction Market Report, global prediction market trading volume soared from about $15.8 billion in 2024 to $63.5 billion in 2025—a fourfold increase. Kalshi, Polymarket, and Opinion together account for over 95% of global trading volume, forming a dominant trio.
However, behind this surge, regulatory battles are intensifying. At a February 12 hearing, U.S. SEC Chairman Paul Atkins stated that prediction markets have become a "major issue" for regulators, involving overlapping jurisdiction between the SEC and CFTC. CFTC Chairman Michael Selig also pledged to ensure the market neither stagnates nor is driven offshore.
State-level responses are even more divided. Kalshi is appealing a ruling in Nevada and faces litigation in Massachusetts. Meanwhile, Polymarket filed a federal lawsuit against Massachusetts this week, arguing that CFTC jurisdiction should take precedence over state gambling laws. At the same time, Hong Kong, Dubai, and Singapore are actively working to establish clear frameworks to bring prediction markets into the fold of compliant financial products.
Conclusion
From the Israeli military’s use of Polymarket to trace the source of leaks—a new kind of counterintelligence—to Kalshi helping NBA teams lock in bonus risk with financial "armor," prediction markets are quickly shedding their "gambling" label and evolving into a new kind of infrastructure for pricing uncertainty.
CertiK’s report concludes that, to survive long-term, platforms must maintain liquidity across multiple jurisdictions, build secure infrastructure to attract institutional capital, and move away from reliance on incentive-driven trading volume. For participants following this sector on platforms like Gate, security and compliance are now more important long-term indicators than trading volume.
With Trump family-affiliated capital now involved in both Polymarket and Kalshi, and Truth Social planning to launch its own prediction market service, the narrative for this sector in 2026 is no longer just about "who won the election," but rather "who defines the value of uncertainty."
