Robinhood expands AI trading tools and prioritizes agentic trading

Robinhood CEO Vlad Tenev said the company is focusing on agentic trading, which he described as the AI-agent use case with long-term user retention and clear product-market fit and utility today. Robinhood Agents combines external-agent connections through Model Context Protocol (MCP), Agent Apps for third-party data such as satellite imagery and unusual options activity, and Agent Loops that can execute strategies autonomously. Tenev said more than 150,000 users had connected external agents through MCP, while Robinhood has more than 28 million accounts.

Partner services are integrated as in-product skills, so users do not have to sign up separately and give an agent their login credentials; Tenev said partners offer one month of free access. He also said Robinhood’s partnership with OpenAI will provide GPT-6 Luna free through the end of the year. Users still have to pay for the underlying data, he noted.

Trading is confined to a separate agent account funded by the user. Trade approvals are on by default, though users can turn them off, and Tenev described these as initial safeguards that could change. A future financial-controller agent for budgeting, allocating money across accounts and potentially managing risk between trading agents was discussed as an idea; Robinhood is keeping it separate from the trading agent for now.