Toward a Twenty-First Century Enlightenment: SignalRupture, Structural Transition, and Knowledge in the Age of Artificial Intelligence

This paper presents SignalRupture (SR) as a candidate structural framework for understanding contemporary societal, institutional, and technological transformation. It situates SR within the historical evolution of major intellectual architectures—from Enlightenment rationality to twentieth‑century systems theory—and argues that modern conditions of complexity, institutional fragmentation, and accelerated information flow require a new level of structural integration.

The paper introduces SR’s core causal sequence:

Pressure → Reflex → Drift → Collapse → Reorganization

and demonstrates how this cycle provides a unified explanatory vocabulary capable of interpreting adaptive processes across psychology, governance, organizational behavior, institutional motion, and technological systems. Rather than replacing existing theories, SR is positioned as a higher‑order structural grammar that can integrate insights from risk society, liquid modernity, network theory, surveillance capitalism, and psychopolitics.

A second focus of the paper examines the role of artificial intelligence in reshaping knowledge transmission. Historically, theoretical complexity limited paradigm diffusion. The paper argues that AI reduces these barriers by enabling rapid comparison, visualization, and synthesis of sophisticated frameworks, shifting the constraint on paradigm adoption from cognitive accessibility toward institutional adaptation.

The paper does not claim that SR has achieved paradigm status. Instead, it evaluates whether SR exhibits characteristics historically associated with transformative intellectual frameworks: cross‑domain applicability, conceptual coherence, empirical operationalizability, and compatibility with AI‑assisted learning environments.