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Fortune
Fortune
Business
Camila Grigera Naón

Public brings AI trading agents to prediction markets with Kalshi tie-up

Public cofounder Leif Abraham (left) stands smiling at camera while Jannick Malling (right) does the same while sitting on a high stool. (Credit: COURTESY OF PUBLIC)

Agentic commerce and prediction markets are two of tech’s biggest narratives this year. Now, New York-based investing app Public is bringing them together with a product that lets AI agents execute automated strategies tied to real-world events. On Wednesday, Public announced that users can deploy the agents to trade those events directly or use prediction market data as a signal for their broader portfolios.

It works like this: Public users decide on a strategy, and instruct the platform’s AI what they want it to do. The agent turns that request into fixed rules, which can range from sending an alert when the odds change to automatically buying or selling an investment. The product is aimed at investors who want to use prediction-market data to track events that could affect their portfolios, such as Federal Reserve rate decisions, regulatory approvals or company metrics like quarterly shipments. Investors must approve the rules before the agent can act.

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