CNBC traces shift from AI ideas to autonomous agents in retail investing
The CNBC segment opens with a vivid scenario of an AI agent autonomously managing a retail investor's portfolio overnight — monitoring news, harvesting tax losses, rebalancing, and using options — then interviews Devin Ryan of Citizens on the shift to "agentic" solutions where users input personal details, risk tolerance, and goals for real-time execution. The reporter contrasts initial assumptions of AI merely suggesting stocks with the industry's move toward systems that act independently within apps. It questions how close this future is, emphasizing real-time tax-loss harvesting, rebalancing, and volatility strategies. Sourcing draws on Ryan's expert commentary, with the accompanying July 2026 CNBC article referencing implementations at Public.com (rolled out March 2026), Robinhood (May 2026 tools for third-party agents), and Podium Markets. The piece notes retail experiments with tools like ChatGPT for research but stresses human review remains common; graphics or visuals likely illustrated the concepts though not detailed in transcript.
Source: CNBC