The faster AI lets one person build something, the harder it gets to prove anyone actually checked it, and nobody measuring AI's ROI is tracking that.
A CEO grouped middle managers with compliance and audit as functions AI made unnecessary. Both catch failure, just on different clocks, and only one has rung so far.
AI can exponentially increase output. Mistakes are also exponential. Most teams have never built explicit decision architecture for their human teams, and now they are being asked to build it for AI agents without a reference point. The leaders who can calibrate agent autonomy are the ones who already defined it for humans first.
When the AI agent ships bad code, someone is accountable. The offshore team analogy already tells you who. The framework for AI output accountability already exists: it is the same structure engineering organizations have used for offshore teams for decades. It has not been applied because the hype framed AI as something categorically different.