Strategic Control Architecture Under Algorithmic Dependency (ENG)

Third text in the series: Artificial Intelligence and Organizational Architecture. Spanish version: "Arquitectura de control estratégico bajo dependencia algorítmica" ABSTRACT The two previous texts in this series established that AI does not transform organizations but amplifies what already exists, and that the disappearance of operational latency turns previously sustainable inconsistencies into visible and costly exposures. This text operates at the next layer: assuming amplification is already occurring, it analyzes what control architecture allows an organization to sustain strategic adaptation over time. The central argument is that advanced automation is not a technological problem but a power problem. As automated systems absorb more layers of the decision process, internal judgment stops being the core asset and becomes the validation layer for decisions already made elsewhere. The organization does not lose speed. It loses the ability to know why it decides what it decides. The text develops three possible trajectories — strong internal control, structural external dependency, and hybrid architecture — describing for each the power it generates, the rigidity it produces, and the exposures it creates under stress. Four real stress scenarios are examined: vertical integration by the provider, regulatory demands for traceability, silent external model updates, and access symmetry between competitors. The text concludes that no trajectory functions without organizational redesign, and that the choice of control architecture cannot be resolved through benchmarking or delegated to a technology consultant.