6 articles
The U.S. equity market is in a mechanical repricing cycle. The convergence of the 2027 earnings-growth cliff, the discount-rate regime shift, and the AI capex circularity will compress concentrated tech valuations by 10–15% within the November 2026 – May 2027 window. The 20%+ tail is gated by the AI capex → revenue conversion.
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.
Economic AGI is not a singularity or an ontological state — it is a factor-substitution threshold. Frontier models have crossed expert parity on standardized professional work at a fraction of human cost, and the threshold has been crossed for low-tail functions like customer support and content production. The remaining gap is autonomy, reliability, integration, and liability — not raw reasoning.
U.S. power increasingly operates through correspondent banking. Secondary sanctions target banks, not exporters, because denial of dollar access is usually enough to force compliance. The threat is the weapon.
AI infrastructure is a real technology cycle wrapped in a leveraged-finance structure. Demand risk is moving from hyperscalers to banks, insurers, and bondholders through SPVs, GPU-backed debt, securitization, and synthetic risk transfer, making utilization, covenants, refinancing, and collateral the earliest signals of overcapacity.
AI deployment creates a real compliance layer — but the base-rate cost and the tail risk are wildly mismatched in maturity. Governance spend is manageable; uninsured liability is where the real economics live.