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The escalating crisis of modern despair is not merely a medical pathology; it is a rational systemic response to the industrial-scale degradation of human agency. As predictive AI achieves hyper-fidelity, human sovereignty faces an existential reductionist threat. Building on the metric of Agency Depth ($D_A$) established in MMG-TR-002, this report models the modern "Attention Economy" as an Adversarial Optimization System. We argue that digital platforms maximize revenue by systematically collapsing the user's Unpredictability Horizon, effectively rendering human agents Computationally Reducible under measured proxies. We identify specific attack vectors—Script Injection, Temporal Collapse, and Model Distortion—that bypass System 2 deliberation. We classify this extraction process as "Cognitive Fracking": the deliberate fracturing of the deliberative substrate to release high-pressure engagement flows. This results in Ontological Harm: a systemic injury not merely to data privacy, but to the functional capacity for self-authorship. To counter this, we propose the "Right to Remain Incomputable" as a foundational digital human right. We operationalize this right through the architectural mandate for Cognitive Sanctuaries and the Interventional Predictability Audit (IPA), providing a regulatory blueprint for preserving human sovereignty in an age of automated determinism and maintaining the "elbow room" required for agency. Keywords: AI Ethics, Cognitive Sovereignty, Attention Economy, AI Regulation, Adversarial Optimization, Recommender Systems, Ontological Harm, Agency Depth, Surveillance Capitalism. Deep Dive into this paper on Youtube: [LINK] Metadata & Implementation The official human-readable LaTeX code for this paper is maintained at the public repository:https://github.com/MeaningfulnessMediaGroup/MMG-Technical-Reports Protocol ID: MMG-TR-003License: CC-BY-4.0 Authorship & IdentityWriting as Djeff Bee, Dominic Branchaud (ORCID: 0009-0008-2046-4378) applies 25 years of systems engineering methods to philosophical modeling.