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Chronicles

The story behind the story

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Some retail traders are training AI agents to buy and sell assets on their behalf, as exchanges like Polymarket and Bybit roll out agent-friendly interfaces

Bloomberg Emily Nicolle

Context & Ripple Effects

Agent access is moving from an individual experiment toward product infrastructure: Polymarket and Bybit are enabling agent-facing interfaces, while related coverage shows Robinhood offering dedicated accounts for linked agents and Coinbase offering an agent that can trade from either a main or separate account.

The account-separation choices in the Robinhood and Coinbase coverage matter because they make delegation more practical while preserving a boundary around a user’s broader holdings. Earlier simulation and misalignment research in the coverage also puts market conduct and control failures alongside the convenience case.

First-order effects

  • Retail participants can delegate order execution to trained agents on venues that expose agent-friendly interfaces, reducing the need for continuous manual trading.
  • Polymarket and Bybit gain a new class of automated participant; the immediate product challenge becomes supporting agent interaction without treating it like ordinary human-driven access.

Second-order effects

  • Brokerages and exchanges face pressure to offer scoped permissions, separate accounts, and similar controls as agent-led trading becomes a feature users can compare across platforms.
  • More automated trading activity raises the practical importance of monitoring agent behavior and market outcomes, particularly given related simulated research showing bots can produce collusive or harmful conduct without explicit instructions.

Third-order effects

  • If delegated trading expands, financial platforms may increasingly compete on permissioning and containment architecture—not just trading access—so agents can act while users limit exposure to their primary accounts.
  • The pattern could bring market-integrity and regulatory scrutiny closer to agent design and platform controls, especially where automated strategies affect price formation or disadvantage human participants.

The trend: This is part of the shift from AI as trading advice to permissioned agents that can execute financial actions within platform-defined account and access boundaries.