The cost requires monetization
Compute, energy, infrastructure, financing and inference create pressure for AI to move beyond assistance. The economic case increasingly depends on removing labor or human delay from recurring execution.
The machine-speed economy
As systems become persistent and interconnected, AI-to-AI execution becomes necessary to capture the promised speed. Human review remains formally present but becomes the system's slowest component.
Control cannot keep pace
Controls designed for discrete systems, periodic review and comprehensible causal chains weaken as no single person can reconstruct the full machine process they are expected to approve.