Quiet Erosion - AI Agents and Human Judgment
Quiet Erosion - AI Agents and Human Judgment
The first task you hand off to an AI agent feels like a relief. The tenth feels like efficiency. By the fiftieth, you have stopped noticing that you no longer know how to do those tasks yourself.
Erosion Happens One Delegation at a Time
Nobody wakes up one morning unable to write an email or review a contract. The skill loss is gradual. You delegate email drafting to an agent. Then you stop editing the drafts because they are "good enough." Then you stop reading them before they send. Each step is small and rational. The cumulative effect is that you lose the ability to judge whether the output is actually good.
The Judgment Gap
The most dangerous erosion is not in execution skills - it is in judgment. When an AI agent handles your calendar scheduling for months, you lose the instinct for which meetings matter and which are noise. When it triages your inbox, you forget what urgent actually looks like in your specific context.
Judgment is built through repetition and feedback. Remove the repetition and the judgment atrophies.
Staying Sharp While Delegating
The fix is not to stop using agents. It is to be intentional about which skills you preserve.
- Rotate tasks - periodically do delegated work yourself to maintain baseline competence
- Review outputs critically - spend time actually evaluating what the agent produces, not just approving it
- Keep high-stakes decisions manual - use agents for execution but retain judgment calls for yourself
- Notice what you have stopped doing - track which skills you have not exercised in 30 days
The Line Worth Drawing
Delegate execution freely. Delegate judgment carefully. The goal of AI agents is to give you more time for the work that requires human insight - not to eliminate the need for insight entirely.
Fazm is an open source macOS AI agent. Open source on GitHub.