Generative AI at Work

Генеративный искусственный интеллект в работе
Erik Brynjolfsson, Danielle Li, Lindsey Raymond
2023-04-01

Generative AIconversational assistantcustomer support agentstacit knowledgeworker productivity
We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents.Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and lowskilled workers, and minimal impact on experienced and highly skilled workers.We provide suggestive evidence that the AI model disseminates the potentially tacit knowledge of more able workers and helps newer workers move down the experience curve.In addition, we show that AI assistance improves customer sentiment, reduces requests for managerial intervention, and improves employee retention.
1
AI assistance improved customer sentiment, reduced requests for managerial intervention, and increased employee retention.
2
Introducing a generative AI conversational assistant increased customer-support productivity by 14% in issues resolved per hour on average.
3
Productivity gains were greatest for novice and low-skilled workers, while experienced and highly skilled workers saw minimal impact.
4
The findings suggest that AI disseminates tacit knowledge from more capable workers and helps newer employees progress down the experience curve.

customer support agents using a generative AI-based conversational assistant

the assistant’s effects on productivity, customer sentiment, managerial intervention requests, employee retention, and knowledge transfer across worker experience and skill levels

Publication Details
Publication Date
2023-04-01
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Authors
Erik Brynjolfsson
Danielle Li
Lindsey Raymond
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