The company announced Agentic Trading and the Agentic Credit Card, enabling AI agents to execute trades and credit card purchases for users. The products connect to Robinhood through Model Context Protocol (MCP) servers, a technical standard that has become a common integration layer for AI systems.
For trading, users open a dedicated agentic account separate from their main portfolio, meaning the AI agent can only access funds explicitly deposited into that account. Customers receive push notifications when trades are executed and can view a real-time activity feed and profit-and-loss data in Robinhood's apps. Agents can be disconnected instantly.
The Agentic Credit Card links AI agents to a dedicated virtual Robinhood Gold Card, with a spending limit set by the user and an option to require manual approval before any purchase is processed. The card earns 3% cash back and is initially available to existing Gold Card holders.
In an announcement post, Robinhood said the Agentic Credit Card could be used to instruct an AI agent to purchase a pair of sneakers once the price falls below a certain point, for example, or to book a restaurant reservation or buy a website domain name.
The launch underscores a broader race among fintech and brokerage firms to position themselves as infrastructure for an emerging class of AI-powered agents—software that acts on a user's behalf rather than simply responding to queries.
Robinhood said it plans to expand Agentic Trading beyond equities to options, crypto, and futures as the product moves out of beta.
The company acknowledged the risks involved, noting in its disclosures that AI agents can make errors, misinterpret instructions, and behave unexpectedly, and that Robinhood does not guarantee the accuracy of any agent output. Users, the company said, remain responsible for monitoring their accounts.
