Disciplined AI agents are the disruptor needed to break the exchange churn model

Current financial exchanges and brokerages rely on business models that profit from high trading frequency, regardless of whether the customer wins or loses. The article argues that existing fee structures, such as payment for order flow, incentivize exchanges to encourage addictive, frequent trading that often results in retail losses. To counter this, the author proposes the use of independent, disciplined AI agents. Unlike exchange-affiliated bots that prioritize high trading volume, these independent agents would be programmatically incentivized through smart contracts to protect and grow the user's portfolio, effectively aligning the agent's success with the user's financial outcomes.

(Source：CoinDesk)