Aug 21, 2026 · 1h 25m
Santoli argues markets reward adaptation over prediction
How to Play the Money Game with Michael Santoli
The conversation tests whether today’s bull market reflects durable earnings and economic resilience or a concentrated, AI-fueled speculative cycle.
- 1Information abundance makes filtering and historical judgment more valuable than collecting facts or issuing forecasts.
- 2Higher rates can persist alongside strong growth when government borrowing, inflation, global yields, and capital demand remain elevated.
- 3AI spending and resilient corporate leadership support the bull case, but concentrated valuations make enthusiasm difficult to separate from speculation.
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Santoli and the hosts use Adam Smith’s The Money Game to connect the 1960s computer boom with today’s AI enthusiasm, separating real transformation from speculative pricing.
The brief
Michael Santoli explains why interpreting markets suits him better than trading them: in an information-saturated environment, the scarce skill is filtering noise and choosing useful historical analogies.
The group challenges the public’s appetite for confident forecasts, arguing that turning points and successful calls usually become legible only after the fact, when hindsight supplies a cleaner story.
The bull case rests on earnings, AI investment, market breadth, retail flows, and battle-tested executives; the countercase points to higher rates, debt, concentration, and speculative enthusiasm.
Adam Smith’s The Money Game becomes the episode’s lens: transformative technologies can be real while their businesses mature, and investors can still mistake momentum for durable value.
Santoli’s broader lesson is less a forecast than a discipline: markets change their operating rules, and investors who cling to old frameworks can miss both resilience and risk.
Featuring
Adam Smith
S&P 500
Google
Flash BoysListen to the full episode and explore every guest, topic, and moment on PodLume.