When Better Opportunities Backfire: Service Worker Responses to Parallel AI Deployment in Customer Acquisition
How to prepare an accurate paper press kit? Illustrated guide
arXiv: 2610.25603v1 · Summary page
Why cover this story this week?
Better leads, fewer sales
Giving workers more promising customers sounds like a straightforward productivity improvement. At a Chinese online health-insurance brokerage, however, deploying AI voice agents to handle low-intent leads was followed by worse customer acquisition among human workers precisely where their opportunities improved most. In more than half a million outreach records, the probability that workers’ first three calls reached a high-intent lead rose by about 23 percentage points, while customer acquisition fell by about 5 percentage points. Both effects faded over the workday.
The researchers’ explanation is that better prospects made workers less willing to persist with the customer already on the line. Workers reallocated early leads more often and shortened those calls by about 13%. The preprint uses a regression-discontinuity-in-time design around the rollout, rather than a randomized experiment. Its practical message is nonetheless important: reallocating tasks between people and AI can change workers’ expectations and effort, not merely improve the raw material they receive.
Editorial context written by AI from abstracts, not independent scientific validation. The kit and its verified quotes rely on the source paper, not on this letter.
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