36% of Your Portfolio Just Disappeared In the Last 30 Years (Andrew Ang Explains How)
For wealth professionals assessing AI in portfolio work, the episode offers a way to think about evaluating AI-driven investment outputs and combining models. It also frames tax drag as a portfolio issue rather than a back-office detail.
Summary
By the wealth tech & ai deskAndrew Ang describes how networks of specialized AI agents could vote on one another's allocation calls rather than automating isolated parts of the investment workflow. He discusses diversification across signals, factors and time, and the drag of taxes on equity returns over 30 years, including asset location and tax-aware bond strategies.
- Specialized AI agents each running an asset class or portfolio method vote on one another's allocation calls.
- Ang argues for diversification across signals, factors and time.
- The episode says taxes erase roughly 36% of a stock investor's returns over 30 years.
- It covers asset location, tax alpha versus investment alpha, and tax-aware bond strategies.
Chapters
From the publisher’s description| Time | Chapter | Length |
|---|---|---|
| Starts | 3 min | |
| The Self-Driving Investment Portfolio with AI | 5 min | |
| Evaluating AI-Driven Investment Outputs | 7 min | |
| Multi-Level Diversification in Factor Investing | 7 min | |
| Factor Weighting, Timing, and Model Diversification | 2 min | |
| The Long-Term Drag of Taxes on Equity Returns | 9 min | |
| Rising Taxes: Strategies and Asset Location | 4 min | |
| Tax Alpha vs. Investment Alpha & Market Impact | 4 min | |
| Tax-Aware Bond Strategies | 3 min |
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Videos and podcasts are embedded from their publishers. Selections and summaries are editorial and are not investment advice.