Stephanie Guild, chief investment officer at Robinhood, told Bloomberg hosts Scarlet Fu and Tom Keene that customers are now running agentic AI agents to place and manage investments on their behalf. She tied the capability directly to users who have kept cash on hand during the recent decline in AI-related stocks.
The Bloomberg Money appearance
The comments were made on the Bloomberg Money program on 23 October 2026. Guild presented the agentic tools as a response to trading patterns she has observed among Robinhood users in recent months. The discussion stayed at a high level, with no technical details released about how the agents are built, what data they use, or how users set their instructions.
Guild described a straightforward sequence: investors have chosen to hold cash rather than buy into the pullback immediately, yet they want the ability to act when conditions change. The agentic AI feature lets them hand specific tasks to software that can execute without further manual steps. The prior model on Robinhood required users to open the app, review prices, and submit orders themselves.
Observed user behavior
Guild noted that the same customers keeping cash available are also the ones testing the new agents. She framed both actions as part of one pattern—preparing for opportunities without committing capital right away. No numbers on cash balances, agent usage, or trade volume were given during the segment.
The source material contains no performance data, adoption rates, or comparisons to manual trading. It also provides no information on how Robinhood defines the scope of tasks an agent can handle or what safeguards are in place.
Reactions and counterpoints
The Bloomberg segment did not include comments from other platforms, regulators, or independent researchers. No competing claims about agentic trading tools appear in the available source.
Why it matters
Robinhood is moving from a model where every order required a direct user click to one where users can set goals and let software carry them out. For customers, this lowers the friction of acting on market moves but also shifts day-to-day execution decisions to code that follows preset rules. The feature arrives while many users are already choosing to stay in cash, which suggests the platform sees demand for tools that can deploy that cash quickly once conditions improve.
Whether these agents produce better results than manual decisions is not addressed by any data in the interview. The absence of metrics leaves open the question of whether the agents simply speed up existing strategies or change outcomes in measurable ways. Retail investors who adopt the feature will test that question with their own accounts first.
The change also raises practical issues around oversight. Users must decide in advance what the agents are allowed to do and under what conditions they should stop. Robinhood has not published details on how those boundaries are set or enforced. Until clearer information appears, the main effect is that control over timing and selection moves one step further from the account holder to the platform’s software.
For now, the development shows one large retail broker responding to users who want both liquidity and the option to act without constant monitoring. The next test will be whether enough customers find the agents reliable enough to use them at scale.
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Sources:
{
"publisher": "Bloomberg Technology",
"title": "Investors Figuring Out Agentic AI: Robinhood's Guild",
"url": "https://www.bloomberg.com/news/videos/2026-10-23/investors-figuring-out-agentic-ai-robinhood-s-guild-video",
"published_at": "2026-10-23T21:52:56.000Z",
"summary": "Stephanie Guild, CIO of Robinhood, joins Scarlet Fu and Tom Keene on \"Bloomberg Money.\" They discuss how she is seeing consumers take advantage of the pullback in AI, having cash on the side to invest, and how Robinhood users can now use agentic AI agents to invest on their behalf. (Source: Bloomberg)"
}
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