AI Summary
5 min readPublic.com co-CEO Leith Abraham discusses the launch of AI agents on the investing platform, the first brokerage to integrate them directly into user portfolios. The conversation covers how agents automate portfolio management for long-term wealth compounding, their design safeguards, broader implications for retail investing, and distinctions from gambling-like features.
AI Agents for Portfolio Automation
Public's AI agents enable users to automate workflows tailored to serious portfolio building, rather than short-term gambling. Common uses include trading strategies like covered calls for income generation—where the agent scans a portfolio, estimates premium potential (e.g., $2,000–$5,000 monthly), and sets up execution—or dip buying when stocks hit thresholds like RSI levels or 2% below a 200-day moving average. Agents handle money movements, event alerts, and portfolio analysis, such as identifying overweight/underweight positions. They support 24/7-like markets, including extended hours from 4 a.m. to 8 p.m. and crypto's nonstop trading, allowing execution without constant screen time. Users chat to refine unstructured ideas into actionable, programmatic strategies, bridging gaps in financial knowledge or coding skills.
Continue reading the full summary in the app — free to try.
Read Full Summary →Free • No credit card required
Never miss an episode of The Rundown
Get every new episode summarized in your inbox — free, ~5 minutes to read.
No spam. Unsubscribe anytime.
What you'll learn
- 1 (00:00) **Intro to Public and AI Agents Launch** - Host introduces Leif Abraham, co-CEO of Public.com, and teases AI agents as first brokerage integration for portfolios
- 2 (01:10) **Why AI Agents Transform Investing** - Agents automate workflows like trading strategies, money movements, and alerts for sophisticated portfolio management
- 3 (02:26) **Popular Use Cases for Agents** - Trading strategies dominate, including dip buying on RSI drops, covered calls for income, and programmatic buying on moving averages
- 4 (05:21) **Safeguards in Agent Design** - Reasoning separated from deterministic execution; users approve strategies that can't deviate
- 5 (07:53) **Trust Building and Real-World Use** - Deterministic workflows enable real-money strategies, shifting agents from side projects to production tools
- 6 (09:49) **AI Agents as New Labor Replacing Advisors** - Agents handle groundwork (e.g., trade setup), advice, and soon emotional support; full replacement in 18 months
- 7 (11:59) **Retail vs Institutional Investors** - Different incentives: retail focuses on long-term compounding, institutions on annual returns; no direct competition
+ Full timestamped outline available in the app
Show Notes
Zaid sits down with Public co-CEO Leif Abraham to break down the launch of AI agents and what they could mean for everyday investors. They discuss how these tools can automate trading strategies, analyze portfolios, and potentially close the sophistication gap for retail investors. Leif explains the safeguards behind the technology, why agents are different from traditional AI tools, and how they could reshape financial advice. Plus, a look at prediction markets, the evolution of retail investing, and where the industry is headed next—including a tease of Public’s upcoming “free money” feature.
More from this podcast
The Rundown →