The feature centres on a dedicated AI Partition, a ring-fenced allocation within a client’s existing IBKR account funded by internal transfer rather than a new account opening. Within that partition, a connected AI can monitor markets, evaluate opportunities against client-defined instructions and execute supported orders without requiring the client to approve each trade individually.

Clients configure the AI using natural language instructions. The examples Interactive Brokers published in its release cover a range of use cases: volatility screening at a set time of day, position-level drawdown alerts with options pricing context, automatic rebalancing when a holding breaches a portfolio-weight threshold, and covered-call writing triggered by implied volatility percentile. The firm says these parameters and account-level safeguards govern what the AI may and may not do.

IBKR already offered an AI Integration feature allowing clients to generate trade instructions for manual review and approval via platforms including ChatGPT, Claude, Grok and Perplexity through Model Context Protocol connections. Autonomous Trading extends that by removing the per-order approval step for clients who meet eligibility requirements. The company said eligibility, funding limits and availability will vary by jurisdiction and IBKR affiliate; the capability is live across the US, UK, Europe, Singapore and Australia at launch.

Milan Galik, chief executive of Interactive Brokers, said the product builds on the firm’s longstanding automation philosophy: “IBKR Autonomous Trading builds on that approach, allowing clients to define their trading strategies and safeguards while connected AI monitors markets and executes trades within those parameters.”

IBKR’s move sits inside a broader structural shift in which AI is being embedded at the execution layer of brokerage, not just the research or screening layer.

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