© 2025 Yasuyuki Sakane ([email protected]). All rights reserved.
I am Yasuyuki Sakane. As an "Ontological Navigator," I dismantle legacy structures in the exponential age. Legacy refers to the invisible debt structures that hinder knowledge succession and judgment. This paper explains the perspective of achieving legacy transformation through Structural Intelligence and AI co-creation within a strategic ecosystem.
🎧 Listen to the podcast (Japanese)- Strategic Ecosystems for Legacy Transformation in the Exponential Age For busy individuals, we have prepared conversational audio content so you can "understand by ear" the main theme and philosophical background of this paper.
Chapter 1: Introduction: The 2025 Problem and the Critical Point of Institutional Structures The Mutually Reinforcing Structure of the Digital Cliff and Legacy Systems Structural Criticality due to Asynchronous Evolution of Technology, Institutions, and Culture The Turning Point of Viewing DX as "Redesigning Judgment Structures and Meaning"
Chapter 2: Technical Debt and Institutional Fatigue: A Structural Analysis of Static Legacy Expanding Technical Debt Theory: Translation to Organizational, Institutional, and Judgment Structures Annual Structural Loss of 12 Trillion Yen: Quantitative Limits and Invisible Costs Formal Compliance and Distributed Responsibility: Structural Characteristics of Japanese Institutional Culture
Chapter 3: Maladaptation and Cognitive Attrition: The Disconnected Structure of People, Organizations, and Value Tacit Knowledge Decay and the Problem of Structural Succession Failure Static Rigidity of Organizational Culture and Failure to Adapt to Nonlinear Challenges Ambidexterity Theory and the Lack of Institutional Frameworks for Knowledge Exploration
Chapter 4: The Limits of Static Modernization and the Demand for Structural Redesign Re-evaluating the 7R Model: Disconnection between Replacement and Essence The Indivisibility of Monolithic Structures and the Lack of Judgment Units Method Fixation and the Loss of Structural Leverage
Chapter 5: Structural Transformation of Knowledge: Formalizing Meaning through Narrative × AI Visualizing the Structure of Tacit Knowledge: Implementation Examples of LLMs and Interpretive AI Integration of Narrative Extraction and Technical Interpretation Frames Reversible Flow of Tacit→Explicit Conversion and Control of Meaning Loss
Chapter 6: Self-Evolving Architecture: Building an Intelligent Ecosystem Support for Semantic Refactoring through Knowledge Bases and Code Analysis Parallel Extraction of Syntax + Semantics by CodeT5, StarCoder, etc. Loop Design and Continuous Learning Models as Conditions for Self-Evolution