3 articles
AI safety has increasingly become an institutional apparatus optimized for funding, prestige, regulatory influence, and adoption rather than binding constraint. Material AI risks arise from deployed socio-technical systems, requiring layered governance across compute, security, incentives, organizations, and institutions.
The 2026 restructuring wave is hitting middle management, not just entry-level roles. The reason is structural: coordination work is repetitive, rule-governed, and embedded in software systems, making it a natural target for agentic AI.
Enterprise risk management is shifting from financial-market risk to operational risk — cyber, supply chain, geopolitical, AI/model risk. This analysis maps where the infrastructure is being built, who captures the economic rent, and why the maturity gap is becoming a genuine competitive moat.