The Institutional Latency Trap and the Governance Vacuum of Accelerating Artificial Intelligence: Epistemic Preemption via Open-Access Public Repositories under Regulatory Exhaustion

Abstract: As frontline investigative telemetry from The New York Times confirms, the accelerating expansion of frontier artificial intelligence capabilities has precipitated an unprecedented structural rupture: democratic governments and sovereign regulatory bodies are increasingly left behind. While parliamentary debate, formal statutory codification, and administrative rule-making advance along linear timelines requiring multi-year consensus cycles, frontier foundation models and autonomous algorithmic systems evolve across exponential computational trajectories measured in weeks. This institutional latency creates a profound governance vacuum, which private technology monopolies systematically exploit through a strategy of fait accompli—irreversibly embedding contested neural architectures and proprietary data enclosures into critical social infrastructure before public law can intervene. Furthermore, sovereign oversight apparatuses face acute cognitive exhaustion, as elite technical talent and specialized compute infrastructure are captured by private capital, forcing public regulators into subservient dependence upon corporate self-auditing. This monograph resolves this governance impasse by establishing the doctrine of Epistemic Preemption via decentralized open-access repositories. By mobilizing CERN Zenodo to archive peer-verifiable mathematical proofs, physical-layer boundary conditions, and formal Prior Art declarations with immutable timestamps, independent researchers short-circuit legislative latency. We prove that permanent, public-domain codification invalidates corporate patent enclosures, strips bad-faith actors of legal exculpation, and establishes an unalterable foundation of truth that preserves sovereign human agency in the post-perimeter technological era.