Editorial Board

A structural break just occurred in commercial search. Shopping Research inside LLMs has replaced browsing with delegation. Consumers no longer explore; they ask an assistant what to buy. The assistant doesn’t show options. It makes a selection. This is not a UX improvement. It is a distribution shift. It

A recent multi-model test produced a result that would have been unthinkable in the search era. One major assistant described a listed company as having discontinued a revenue segment that represents more than a quarter of its business. Another model, queried minutes later, presented the same segment as the

The FT reported that AIG, Great American and WR Berkley have asked US regulators for permission to restrict cover for AI related losses. This is not an adjustment at the edges. It is the first public sign that insurers view AI as a source of correlated misstatements that could trigger

Boards are now accountable for inaccurate financial, product, safety, and ESG information generated by AI systems the organisation does not control. Assistants have become part of the public information environment. Under the board’s duty of care, the company must maintain the accuracy and consistency of information available to consumers,

AIVO Journal — Evidence Note New research from Berg, Lucena, and Rosenblatt (arXiv:2510.24797) shows that large language models enter a distinct behavioral mode when prompted into sustained self-reference. In this mode, models produce more structured and confident internal narratives, yet these narratives are controlled by the same sparse-

AIVO Journal — Governance Analysis November 2025 AI assistants have become the first point of reference for analysts, journalists, investors, counterparties, and retail stakeholders. Their narratives now sit upstream of market interpretation. This shift has created a new fragility layer for banks: synthetic narratives generated by large language models (LLMs) that