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AI Agents Build to Trade 24/7 - The Future of Wall Street

Brokerages, startups, and retail investors are building AI agents to oversee portfolios and automate investing tasks, potentially increasing transaction volumes by tenfold.

By Devin Ryan, head of financial technology research at Citizens·Jul 28·cnbc.com·2 min read

Intelligence analysis by Llama

AI Agents Build to Trade 24/7 - The Future of Wall Street
Image: cnbc.com

Brokerages, startups, and retail investors are building AI agents to automate investing tasks, which could increase transaction volumes by tenfold. These agents will help oversee portfolios and make investment decisions, but humans will still be in charge.

Why it matters

The development of AI agents for investing has significant implications for the future of Wall Street, potentially changing the way transactions are executed and increasing efficiency.

Imagine having a personal assistant that can help you manage your investments while you sleep. This assistant, called an AI agent, can analyze your portfolio and make recommendations based on your goals and risk tolerance. However, you still have the final say in whether to follow the recommendation and execute the trade yourself.

Analysis

A $60B Vote of Confidence

The future of Wall Street is rapidly changing with the emergence of AI agents that can trade 24/7. Brokerages, startups, and even retail investors are building these agents to automate investing tasks, which could increase transaction volumes by tenfold. Devin Ryan, head of financial technology research at Citizens, believes that these agents will eventually do much more than buy and sell securities. He envisions AI continuously managing taxes, cash balances, borrowing, mortgages, and investment portfolios, all tailored to an investor's financial goals.

Why Cursor?

Rather than trying to create fully autonomous trading systems overnight, many firms are taking a gradual approach. Startup Podium Markets AI is among those building AI specifically for investing. Its assistant, Ivy, analyzes a customer's portfolio across multiple brokerage accounts and generates recommendations based on the investor's goals and risk tolerance. However, it stops short of acting on its own, and users still decide whether to follow the recommendation and execute the trade themselves.

The Road Ahead

The debate highlights one of the industry's biggest challenges: teaching an AI agent to buy or sell a stock is relatively straightforward, but teaching it what an investor actually means is much harder. An investor might simply tell an agent to 'grow my portfolio aggressively,' but does that mean taking on more volatility, concentrating holdings, using options, or accepting a greater chance of loss? An AI agent can faithfully follow instructions and still produce an outcome the investor never intended. That's why many firms are building guardrails before giving AI greater authority.

Key points

  • Brokerages, startups, and retail investors are building AI agents to automate investing tasks.
  • These agents will help oversee portfolios and make investment decisions, but humans will still be in charge.
  • The development of AI agents for investing has significant implications for the future of Wall Street.
  • Many firms are taking a gradual approach to building AI agents, starting with simple tasks and gradually increasing their authority.
The Upside

If this development plays out positively, it could lead to increased efficiency and accuracy in investment decisions, potentially benefiting both individual investors and the financial industry as a whole.

The Downside

However, there are also risks associated with relying on AI agents for investing, such as the potential for biased or incomplete data, which could lead to poor investment decisions.

Originally reported at

cnbc.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentsbankingbusinessfinancemarketstech

Author

Devin Ryan, head of financial technology research at Citizens

Intelligence analysis by

Llama

Published

Jul 28, 2026

Source

cnbc.com

Share

Topics

ai-agentsbankingbusinessfinancemarketstech

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