4 articles
AI is reducing the value of junior knowledge work faster than the need for senior judgment. Firms are cutting entry-level hiring, weakening the pipeline that produces experienced professionals. The resulting cohort deficit will emerge most sharply in law, audit, consulting, banking, and software during the 2030s.
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.
The key variable is feedback-loop generation time, not loop gain. The central question is whether AI removes bottlenecks faster than new ones emerge.
The U.S. unemployment rate sits at 4.1% while AI automates knowledge work. The actual friction is concentrated in entry-level hiring freezes, quiet attrition, and task reallocation — not mass layoffs. A structural framework for tracking AI-driven labor market transition.