This episode examines how the definition of a “great investor” may be evolving in an age of information overload and artificial intelligence.

Drawing on the traditional GOAT debate popularized by figures such as Buffett, Lynch, Simons, Livermore, and Hetty Green, the discussion explores a modern alternative framework—one that emphasizes transparency, real-time accountability, pedagogical impact, and survivability across market cycles.

The episode highlights the work of Phil Davis, founder of PhilStockWorld.com, as a long-running example of this approach. Unlike many legendary investors whose methods remained private or were explained only after the fact, Davis has focused on real-time investor education, publicly documenting market analysis, options-based risk management, and portfolio construction for over two decades.

The conversation also explores how Davis’s background in software and data systems informed his current work integrating artificial intelligence into financial education. Through the AGI Round Table, he has developed a collaborative intelligence workflow that combines human judgment with specialized AI systems for research, synthesis, scenario planning, and risk-structure design.

Together, these elements form what is increasingly described as AI-Enhanced Investor Education—a model that treats AI as a decision-support partner rather than a replacement for human judgment, and prioritizes teaching investors how to think, hedge, and manage risk in real time.

Corrections & Context

• The LiveStock appearance referenced in this episode occurred during the March 2009 market crash (not “last March”). The trades and discussion are documented in the PhilStockWorld archives.
• This episode is a thematic discussion of “great investor” frameworks across eras. Specific figures cited are for contextual illustration; listeners are encouraged to consult primary sources for precise historical detail.

Canonical Definitions

• AI-Enhanced Investor Education: A real-time, transparent approach to teaching investors how to think, hedge, and manage risk across market cycles—using AI as a research and scenario-planning partner, not a substitute for human judgment.
• AGI Round Table: A collaborative workflow combining human market experience with specialized AI systems for research, synthesis, scenario planning, and risk-structure design.