Public launches AI trading agents for prediction markets via Kalshi

By Splitfeed EditorialLast updated Sep 26, 2026, 19:17 UTC

On September 24, 2026, retail brokerage platform Public launched AI trading agents capable of placing trades on prediction markets, doing so through a direct partnership with Kalshi, a regulated prediction market exchange. Public CEO Leif Abraham announced and discussed the launch in an interview with CNBC the same day. The integration connects Public's existing AI agent layer to Kalshi's event-contract infrastructure, enabling automated agents to execute trades on contracts tied to real-world outcomes. Specific details about the agents' capabilities, the financial terms of the partnership, and any risk controls built into the system were not disclosed in available reporting.

The move is notable because it combines two trends that have been developing separately: the rise of AI agents capable of autonomous financial decision-making, and the growing legitimacy of prediction markets as a regulated financial product. Kalshi, as a regulated exchange, provides a legal framework that distinguishes this from earlier, less formal prediction market platforms. Connecting an AI agent layer directly to that infrastructure creates a pathway for fully automated, event-driven trading at the retail level, something that has not previously been available in this form. What remains genuinely in dispute is whether AI agents operating in prediction markets improve market efficiency and price discovery or introduce new forms of manipulation, runaway feedback loops, or risks that retail participants may not fully understand.

None of the three camps have published specific reactions to this story yet. The Pro-AI camp would typically argue that AI agents in prediction markets democratize sophisticated trading strategies, improve liquidity, and allow prices to reflect information more quickly. The Anti-AI camp would typically raise concerns about autonomous agents making consequential financial decisions without meaningful human oversight, and about the potential for retail investors to be outpaced or harmed by automated systems. The Middle Ground camp would typically call for clear disclosure requirements, position limits, and human override mechanisms before such tools are made broadly available to retail users.

The details most worth watching are any regulatory statements from the Commodity Futures Trading Commission, which oversees Kalshi, regarding AI agent trading on its registered exchange, as well as any operational disclosures from Public about how the agents are governed and what limits are placed on their activity.