5 minBusiness
Robinhood Opens AI Trading Agents to 29 Million Customers
Robinhood has rolled out AI-powered trading agents to all of its roughly 29 million customers, letting them execute trades and build strategies using plain English. The move marks the first mass-market deployment of agentic trading and raises questions about market volatility, liability, and cost.
Robinhood has begun giving all of its roughly 29 million customers access to artificial intelligence trading agents, a rollout that makes the brokerage the first to offer non-technical agentic trading to a mass audience and that could reshape how Americans invest.
The agents are powered by models from OpenAI and Anthropic. Users can choose between OpenAI's GPT-6 Luna or GPT-6 Sol, or Anthropic's Opus 4.8, and then instruct the agent in plain English to carry out trades, conduct research, or build complex investment strategies. In a demonstration, a user was invited to name their agent and then issue commands ranging from simple orders like buying $200 of Ford stock to more elaborate assignments known as Loops.
According to Robinhood, a Loop can be set to check the market every morning and execute a trade when certain conditions are met, or to run a continuous overnight strategy to look for opportunities while the user sleeps. The rollout coincided with the company's annual HOOD summit and follows a May release of a so-called MCP tool that let technical users connect their own agents to the platform.
Robinhood says the service includes guardrails intended to prevent unexpected behavior. Each agent gets a dedicated trading account, and users can set limits on how much the agent can trade at a time. Users can also require the agent to seek final approval before executing a transaction. For a limited period, the service will provide free access to data providers including Unusual Whales and the crypto-focused Token Terminal.
Company executives argue that easy-to-use agents and libraries of financial data will give ordinary investors tools comparable to those used on Wall Street. CEO Vlad Tenev framed the move as part of Robinhood's mission to democratize finance. «Ownership doesn't work without markets, and markets don't work without traders,» Tenev said in a statement. «We're making Robinhood the best place in the world for active traders by delivering tools once reserved for hedge funds, big banks, and quant firms.»
The mass release of trading agents could also change investment patterns in unpredictable ways. A major uptick in active trading volume is one possibility, along with the emergence of new strategies. Less rosy scenarios are also conceivable: if trading agents begin to confer with each other and move en masse into or out of an asset, that could introduce greater volatility or even panic, particularly if malicious actors are involved.
It is unclear where legal liability would fall if agent-based trading goes wrong. Robinhood's position is that hosting agents does not amount to providing financial advice and that any suggestions or actions are akin to a customer asking the internet or a friend. The legal landscape around agentic trading, however, is still evolving.
Cost is another open question. During the rollout period, Robinhood plans to offer the lower-end GPT-6 Luna for free until the end of the year and to charge the standard token rate for the OpenAI and Anthropic agents. Executives say the cost of using the agents for most transactions will be negligible, but that could change if compute prices rise unexpectedly or if large numbers of customers pursue research-intensive strategies.
Early signs suggest customers are willing to try. More than 150,000 customers have already opened agentic accounts through the more technical version introduced in the spring, and as of late September, various agents were transacting on Robinhood's platform nearly 30 million times a day.
Robinhood is for now the only brokerage offering non-technical agents at scale. Other fintech and crypto firms, including eToro, Public, and Coinbase, currently let users connect agents through MCP tools. It is a likely bet that these firms will soon roll out trading agents directly within their own platforms, and that conventional brokerages like Schwab and Fidelity will follow. In the near future, agents could be placing billions of trades a day, with ordinary investors deploying elaborate strategies in new corners of the market. How that affects market performance and wealth accumulation remains to be seen.
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