The Surrender Loop: Archetypal Selection and Cognitive Convergence in the Age of Recursive Human-AI Interaction

Large Language Models trained on predominantly Western, Educated, Industrialized, Rich, Democratic (WEIRD) corpora are now used by billions of people worldwide. Recent empirical evidence demonstrates that humans exhibit cognitive surrende adopting AI-generated outputs with minimal critical evaluation at rates exceeding 79% even when those outputs are incorrect (Shaw & Nave, 2026). Simultaneously, research on Anthropomorphic Vulnerability Inheritance (AVI) demonstrates that LLMs absorb human psychological patterns from training data, including pre-cognitive vulnerabilities (Canale & Thimmaraju, 2026).We identify a previously undocumented feedback loop: humans produce text → LLMs absorb psychological patterns from that text → LLMs generate statistically “typical” output reflecting those patterns → humans surrender to that output → humans produce new text shaped by the AI’s output → that text becomes future training data. We formalize this as the Surrender Loop and argue that its primary consequence is not information distortion but archetypal selection—the systematic amplification of psychologically dominant patterns and the attenuation of marginal ones across successive loop iterations. Because AI alignment mechanisms (RLHF, Constitutional AI) function as implicit archetypal selectors—determining which psychological patterns are reinforced and which are suppressed—the loop does not converge toward neutrality but toward a specific cultural-psychological profile. Drawing on Jungian analytical psychology, the Cybersecurity Psychology Framework (CPF), and information theory, we formalize the convergence dynamics, identify cybersecurity implications of cognitive monoculture, and propose monitoring frameworks for detecting archetypal convergence before it becomes irreversible. We further discuss the geopolitical implications of competing monocultures emerging from regionally aligned AI ecosystems. Crucially, this process requires no intentional coordination: the structural properties of the system produce convergence as an emergent property, and the absence of monitoring is itself a consequential design choice.