AI-Enabled Investment Strategies

This unit teaches students to use AI tools and curated information sources to research, compare, and manage a broad set of investment vehicles—including AI-related stocks, ETFs, IPOs, mutual funds, commodities, REITs, and retirement accounts—while taking into account tax, interest-rate, and macroeconomic indicators. It builds on foundational AI and investing concepts from earlier units and prepares students to design risk-mitigation strategies and professional investor communications ahead of a capstone or portfolio-application unit.

Learning Objectives

• Analyze AI research tools and information channels (e.g., chat alternatives, YouTube/e-zines, LinkedIn groups) to compare credibility, biases, and suitability for different types of investment research.
• Evaluate and compare investment vehicles (AI stocks, ETFs, IPOs, mutual funds, REITs, commodities) using AI-enabled metrics and financial formulas to quantify expected return, risk, dividend yield, and tax implications.
• Apply AI-supported techniques to design hedging and safety strategies for higher-risk assets (small caps, IPOs) that incorporate interest-rate effects, leading economic indicators, and portfolio diversification principles.
• Demonstrate professional investor communications and career-growth practices by preparing investor summaries, advisor-vs-robo recommendations, and networking plans while addressing technology overreliance and ethical considerations.