This work develops a Dynamical Informational Field Theory (IFT) in which the fundamental object is not matter or spacetime, but an underlying informational field whose geometry governs coherence, stability, and flow across scales. Building on classical and quantum information geometry, we promote Fisher-information–type quantities to a dynamical field, introduce a canonical complex scalar proxy \Phi, and derive an effective action that couples informational curvature, phase, and gauge-like degrees of freedom. Within this framework we define the notion of a dynamostatic plateau: a regime where the informational action-rate becomes stationary and renormalization-group trajectories lock into a robust, low-cost configuration. We then demonstrate how such plateaux emerge in practice, using numerical experiments on toy diffusion processes, lattice \Phi-field dynamics, phenomenological RG flows, and real-world electricity-market data. Together, these results suggest that very different physical and socio-technical systems can be viewed as particular realizations of the same informational field dynamics. The paper outlines how IFT can serve as a unifying language for stability, criticality, and self-organization in complex systems, and sketches concrete directions for further theoretical development and empirical tests.