AI-Assisted Personal Finance and Investing

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This unit introduces learners to applying AI tools and resources to everyday personal finance and foundational investing decisions, including budgeting, taxes, estate planning, and a range of asset classes (stocks, ETFs, real assets, precious metals, real estate, CBDCs). It builds on introductory concepts from Unit 1 and prepares students to move into advanced portfolio construction and strategy in later units by emphasizing practical use of AI research tools, risk evaluation, and fraud/bias detection.

Learning Objectives

Analyze AI-generated research from ChatGPT, ToolsAI.net, specialized investing sites, and selected YouTube channels to compare AI companies, small-cap stocks, and AI-related ETFs by performance metrics, risk factors, and business fundamentals.
Apply personal finance principles—budgeting, college expense planning, estate considerations, and tax strategies—using AI budgeting and tax tools to create a measurable 12-month financial plan that supports investment goals.
Evaluate a variety of investment vehicles (individual stocks, sector plays such as utilities and consumer staples, precious metals, direct real estate, CBDC concepts, and robo-advisors) for suitability and risk tolerance using AI-driven screening and analysis tools.
Demonstrate methods to detect and mitigate bias and fraud in AI investment advice by developing and using due-diligence checklists, validating sources, and applying ethical review practices to investment decisions.