Chapter 3 - Methodology

This episode explains how the research is actually constructed and why the methodology matters. It walks through how the study anchors itself in long-term technological cycles, why it focuses on the modern deployment phase of the internet era, and how production capital drives lasting power in ad tech. It also positions Google, Meta, and Amazon as core examples, explains how automation, user data, and inventory structure the analysis, and introduces “follow the capital” as the guiding lens for interpreting results and projecting future outcomes.Episode chapters:00:00 Why Methodology Matters for Understanding AI01:10 What a Methodology Chapter Actually Does02:13 Anchoring the Study in Long-Term Tech Cycles03:13 Financial vs Production Capital Explained04:19 Why the Study Focuses on the Deployment Period05:17 Why Google, Meta, and Amazon Anchor the Study05:36 The Three Engines: Automation, Data, and Inventory06:19 Historical vs Contemporary Case Pairing10:33 “Follow the Capital” as the Guiding Lens