Ken Fisher Talks AI Advice, Inflation vs. Wages, Stock Selection and More

Ken Fisher opens by discussing the prevalence of Americans receiving financial advice from AI, arguing that AI is fundamentally a tool for automating information search through existing data—similar to consulting a library. He compares concerns about AI to concerns about Walmart, noting that the tool itself isn't problematic; rather, how people use it determines outcomes. Fisher acknowledges AI will never be the sole source of advice but encourages its use as one resource among many.

On inflation outpacing wage growth, Fisher explains this is a normal, recurring pattern in economics. He clarifies that sustained inflation results from money supply growth exceeding goods and services production, typically driven by central bank actions. When inflation spikes, wages—which are already set—lag behind, then catch up over time through negotiation and raises. This cycle has occurred historically and will continue: inflation rises, wages lag, then wages catch up before the next inflationary surge.

Regarding US dollar strength, Fisher addresses two questions: the dollar's comparative strength and the roles of US debt and inflation. He notes the dollar fluctuates significantly short-term but remains stable long-term. He introduces a political dimension, noting that Republican presidents have historically favored weak dollars (especially early in terms) while Democrats prefer strong dollars. Crucially, Fisher argues dollar strength reflects fears of debt and inflation rather than the actual conditions themselves, invoking Benjamin Graham's stock market metaphor: short-term currency markets are voting machines (fads and fancies) while long-term they are weighing machines (reflecting real value).

For stock selection, Fisher emphasizes developing a personal process aligned with one's temperament and constraints. His methodology involves: identifying stock types likely to outperform under current conditions and identifying backup types if the primary thesis fails, screening for stocks that represent their type well while filtering out oddballs, seeking stocks with competitive advantages like high market share and low-cost production, and determining whether these advantages are already priced in. He acknowledges his process is complex and backed by research resources others may lack, but stresses investors should develop consistent processes suited to their circumstances to avoid emotional decision-making during volatility.