Wall Street Firms Build AI Trading Agents as Platforms Eye 10-Fold Jump in Transactions
Updated
Updated · CNBC · Jul 28
Wall Street Firms Build AI Trading Agents as Platforms Eye 10-Fold Jump in Transactions
3 articles · Updated · CNBC · Jul 28
Summary
Robinhood, Public and startups are moving agentic investing from concept toward deployment, building tools that can analyze portfolios, automate workflows and increasingly execute trades for users.
10-fold higher transaction volumes could follow, Citizens' Devin Ryan said, with some platforms potentially seeing most trades by number handled by agents by the end of next year.
Podium Markets AI's Ivy and Public's in-house agents still keep humans in control, reflecting a gradual rollout in which users review recommendations or approve workflows before any action.
Retail investors have already tested ChatGPT and Claude for stock research and trade ideas, but results have been mixed, with some users reporting losses and warning against blind automation.
Guardrails are becoming central because translating vague goals like 'grow my portfolio aggressively' into suitable trades is harder than executing orders, raising conduct and firm-risk concerns.