Agentic AI has decoupled code generation from domain model acquisition, elevating specialists who verify output correctness in areas such as payroll rules and transit scheduling over generalist engineers lacking ground truth, per the primary analysis at https://www.brethorsting.com/blog/2026/05/domain-expertise-has-always-been-the-real-moat/.

This shift exposes AI hype cycles that overstate general models while underplaying startup economics, where vertical ventures succeed only when domain experts encode tacit constraints that prevent production errors, a pattern documented in a16z reports on specialized AI applications versus broad tools.

Mainstream coverage overlooks how the collapsed engineer career ladder now favors hybrid roles, aligning with McKinsey's 2024 State of AI findings that verification skills in regulated domains determine ROI far more than generation speed.