Consensus Fragility in the Age of AI: Machine-Assisted Narrative Convergence and Repricing Risk Across Financial Markets

Abstract

Recent advances in artificial intelligence have reduced the cost of summarization, interpretation, and signal extraction in financial decision-making. Yet the same tools may also compress interpretive diversity by accelerating narrative convergence across analysts, allocators, traders, and media intermediaries. This paper realized spot (DXY 100.4). Prediction markets displayed platform-local consensus with low cross-platform validation. These findings suggest that as AI systems become more deeply embedded in financial cognition, the sources of fragility may shift from information scarcity toward interpretive homogeneity.

Keywords: Artificial Intelligence, Financial Markets, Consensus Fragility, Narrative Convergence, Cognitive Offloading, Belief Synchronization, Prediction Markets, Cross-Asset Signals