AI Drift Scaling

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Definition: When automation accelerates misaligned behaviors by reinforcing what supervisors are already doing—even if it’s inconsistent with company expectations.


Why it Matters: Drift doesn’t just happen. With the wrong tools, it scales invisibly—faster, louder, and harder to fix.


Common Mistake: Thinking automation automatically creates alignment. If you don’t calibrate it, you’re just institutionalizing drift.


Related Concepts: AI Drift Loop, Passive Drift, Culture-Blind Automation


Sample Usage: “The AI kept recommending what I was already doing. Too bad I was wrong. That’s AI Drift Scaling.”

Synonyms:
ai-drift-scaling
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