AI-Driven Development fails to deliver a fundamental increase in software productivity

Here's Why. 1 The Localization of Value: AI only solves the "Low-Value 80%" The Premise: According to Pareto’s Principle, the vast majority of labor (the Light Blue zone) contributes to only a small fraction of overall quality. The Argument: AI excels at accelerating this "Light Blue" zone. However, it remains incapable of addressing the "Deep Blue" core—the 20% of critical work that generates 80% of the software's true value. 2 Structural Friction: AI-generated code cannot coexist with "Unsolved Problems" The Premise: AI generates the "Light Blue" periphery in a vacuum, without any context regarding the core challenges. The Argument: As developers confront the "Deep Blue" (the essential unsolved problems), the AI-generated surroundings inevitably clash with the core requirements. This necessitates massive rewrites, nullifying any initial speed gains. 3 The Paradox of Existence: If AI can solve it all, the project has no reason to exist The Premise: If the "Deep Blue" core can be fully