Thinking in Markets

Kevin Hassett's latest argument is simple on the surface but tricky underneath: if AI-driven productivity is rising, payroll growth can cool without signaling a weak economy, and inflation pressure may ease enough for lower rates. Michelle and Vox unpack what that means for the neutral rate, why markets should be careful with political rate stories, and why the Fed still decides by committee rather than by one loud voice.

AI chips are usually framed as a hardware story, but the investing question is broader. Michelle and Vox unpack why Google TPUs, Meta’s custom silicon, and the latest hyperscaler spending boom suggest custom chips are becoming a way to lower AI costs, protect cloud margins, and shift value toward integrated platforms rather than every supplier in the chain.

Michelle and Vox unpack why Washington can reopen a valuable China sales channel for Nvidia while still tightening other parts of the U.S.-China tech fight. Listeners will learn how to separate selective business relief from real strategic de-escalation, and why investors should watch the choke points around tools, minerals, and policy design rather than one headline alone.

Michelle and Vox unpack a quiet options misconception: Greeks describe how an option reacts when conditions change, but they do not tell you the expected return of the underlying asset. Listeners will learn why delta feels directional, where drift fades in pricing, and how to use Greeks as risk tools rather than as market forecasts.

Michelle and Vox unpack a quiet truth inside the AI boom: quantitative trading is becoming more data-rich and more accessible, but not magically more profitable. Listeners will learn the difference between predictive strategies and arbitrage, where AI genuinely helps, and why one-person quant teams are more plausible now without escaping the old limits of markets.

Short interest can look dramatic, but the raw number often says less than investors think. Michelle and Vox unpack days to cover, liquidity, and why a smaller short in a thinner stock can matter more than a larger short in a mega-cap.

A market move can look random until new information changes the odds. Michelle and Vox use the Monty Hall problem to explain conditional probability, why traders often under-update, and how a better trading decision can come from switching views after the market reveals something important.

Michelle and Vox unpack a quiet tension inside one of the hottest themes in tech and markets. AI-agent forecasts are exploding, but the evidence for truly independent agents is still narrow, which leaves investors with a harder question: where is the real value today, and where is the story still running ahead of proof?

Michelle and Vox unpack Trump’s real economic mix: lower taxes and lighter regulation on one side, but tariffs, tighter immigration, and a more selective use of state power on the other. Listeners will understand which business groups tend to benefit, who shapes the ideas, and why investors should stop reading Trump economics as old-fashioned free-market Republicanism.

AI tools are everywhere, but the business payoff still looks uneven. Michelle and Vox compare recent developer, enterprise, and executive survey data to explain why trust is slipping, why productivity remains hard to prove, and how investors can separate safer AI exposure from more speculative bets.