VQV Signal
Deploying AI voice agents in contact centers allows firms to route low-intent leads to AI and high-intent leads to humans, changing task allocation. This shift enriches human workers' opportunities but also increases their reservation value, making them less willing to persist with leads.
Deploying AI voice agents in contact centers allows firms to route low-intent leads to AI and high-intent leads to humans, changing task allocation. This shift enriches human workers' opportunities but also increases their reservation value, making them less willing to persist with leads.
AI-assisted summary based on the listed source.
As AI voice agents get deployed in high-volume contact centers, firms can route low-intent leads to AI and allocate high-intent leads to human workers. Drawing on sequential search theory, we posit that AI-induced task allocation reshapes work, enriching opportunities facing human workers but also raising their...
Understanding how AI voice deployment affects human worker behavior is crucial for optimizing contact center operations and balancing AI-human collaboration. It highlights potential unintended consequences of AI task allocation on worker persistence and performance.
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VQV surfaced this signal because it is recent, relevant to AI Voice, connected to arXiv.
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