Abstract

Capability–Intelligence Feedback Dynamics (CIFD) is the first formal dynamic model that unifies human capability evolution, AI system evolution, and organizational structural evolution into a single, bidirectional, architectonic feedback mechanism.

CIFD models capability (Cₜ) and intelligence (AIₜ) as co-generative, differentiable state variables, updated through nonlinear operators influenced by environmental conditions (Envₜ) and organizational architectures (Orgₜ). This formulation establishes a closed-loop dynamic system in which:

1. AI progression depends on its prior state, human capability structures, and environmental affordances.
2. Human capability restructures recursively in response to AI behavior and organizational constraints.
3. Organizational topology itself is reshaped by the joint evolution of AI and human capability.

CIFD forms the dynamic engine underlying the RHC theoretical lineage (SCR → CRE → RWA → MLCD), providing the generative mechanism that transforms static capability models into fully evolutionary systems. It represents the first unified, triadic dynamical framework covering human–AI–organization co-evolution and establishes the foundation for AI-native organizational design, dynamic capability engineering, and resonant work architectures.

As a contribution, CIFD shifts capability science from descriptive models to dynamically computable, simulatable, and optimizable systems, offering a new baseline for the next generation of human–AI collaboration and organizational transformation.