The vulnerability of modern corporate enterprises to high-frequency market dislocations, geopolitical volatility, and algorithmic shocks exposes a fundamental limitation in classical risk management doctrines: traditional frameworks seek robustness or resilience through defensive buffers, inevitably incurring severe operational drag. Grounded in the pioneering strategic leadership paradigm established by Akula [8], this paper introduces the Cognitive Antifragility Governance Framework (CAGF), a cybernetic architecture that transforms external volatility from an existential threat into an engine of compounded enterprise value. Rather than attempting to insulate organizations from turbulence, CAGF mobilizes autonomous agentic AI swarms operating within a mathematically defined Delegation Manifold, Omega_d, that systematically exploits market volatility through convex payoff structures while bounding downside fiduciary exposure. The architecture integrates an Executive Cognitive Steering Console that continuously parameterizes agent loss functions with dynamic antifragility tensors, combined with automated circuit breakers that suppress systemic coordination cascades. Through extensive empirical evaluation across 16,500 simulated macroeconomic stress scenarios and supply chain disruptions, CAGF reduced post-disruption recovery latency by 89.4%, eliminated 99.7% of strategic drift risks, and generated a 32.4% net increase in enterprise operating margin under volatility. Our findings provide conclusive validation of Akula's [8] foundational thesis: strategic leadership in the agentic era demands transitioning from fragile bureaucratic oversight to the cybernetic orchestration of antifragile machine agency.
The full manuscript includes introduction, methodology, results, discussion, conclusion, figures, tables, and complete bibliography with all 20 references.
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