Thinking in Markets

Michelle and Vox unpack a quiet question that often follows any Treasury yield-curve discussion: if real yields matter so much, why is there no short-end real bill quote on the Treasury page. By the end, listeners will understand what TIPS-based real yields actually measure, why the official real curve begins farther out, and how investors should think about a short-term real rate even when no Treasury ticker prints it.

Michelle and Vox unpack a quiet source of confusion for retail investors: the Treasury yield curve is usually not drawn from a table of raw bond quotes. By the end of the episode, listeners will understand the difference between bill rates, constant-maturity par yields, and why the official curve is a standardized benchmark rather than a simple list of current Treasury securities.

A Hollywood interview raises a useful market question: if frontier models are getting cheaper and more interchangeable, why is AI capital spending still exploding? Michelle and Vox unpack falling inference costs, rising data-center spend, and why investors may find the real scarcity in deployment capacity, workflow control, and infrastructure rather than in model prestige alone.

Michelle and Vox unpack a quieter macro idea inside the AI boom: the technology does not just write text or answer questions, it can also lower the cost of monitoring, routing, and coordinating people and institutions. Listeners will learn why that matters for labor, political risk, and why some of the most durable AI trades may sit closer to infrastructure, robotics, and workflow software than consumer hype.

Michelle and Vox use China’s multi-path push toward advanced AI to explain a quieter investing lesson: when the core R&D sits inside the state, the opportunity often shifts to the supply chain, infrastructure, and commercialization layers around it. Listeners will learn how to separate headline AI ambition from the parts of the market that may actually capture value.

Michelle and Vox unpack the latest fight around the CLARITY Act and stablecoin rewards. The episode explains why banks care so much about yield on idle digital dollars, why Coinbase and Circle see that yield as economically natural, and where the real line sits between reserve income, customer rewards, and bank-like competition.

Michelle and Vox unpack why a court loss on one tariff tool does not automatically end a trade conflict. Using the recent shift from IEEPA-based tariffs to Section 122, Section 301, and Section 232, they explain how legal authority, negotiation leverage, and market expectations can move in different directions at the same time.

A federal software contract can look like a simple growth win, but investors often misunderstand what it does to a vendor's intellectual property. Michelle and Vox unpack the difference between commercial software licenses and government-funded custom development, and explain why contract rights can matter as much as revenue when valuing software companies.

A weaker U.S. dollar can mean very different things. In this episode, Michelle and Vox explain why early 2025 dollar weakness was not a simple risk-on story, how policy credibility and capital flows changed the signal, and why the bigger picture still falls short of true dollar collapse.

Michelle and Vox unpack what new AI labor studies from ChatGPT, Claude, and Copilot actually measure. By the end, listeners will understand why rising AI usage in a work activity is not the same thing as immediate job replacement, and what investors should watch instead.